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Graham E. Gardner

Graham E. Gardner

Murdoch University
Australia

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Animal Science and Veterinary 37 1544 1426 90 84 224 4495

Graham E. Gardner publications per year

The chart shows the history of publications by Graham E. Gardner between 1997 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Graham E. Gardner published across 25 years, from 1997 to 2021, averaging 9 papers a year. Output peaked at 26 publications in 2014. 26 of the 224 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1997 to 2021. Vertical axis: number of publications, 0 to 26. Peak 26 publications in 2014. 1997: 1 publication 1998: 2 publications 1999: 2 publications 2000: 2 publications 2001: 6 publications 2002: 0 publications 2003: 0 publications 2004: 3 publications 2005: 2 publications 2006: 16 publications 2007: 6 publications 2008: 6 publications 2009: 10 publications 2010: 13 publications 2011: 15 publications 2012: 12 publications 2013: 10 publications 2014: 26 publications 2015: 13 publications 2016: 16 publications 2017: 14 publications 2018: 14 publications 2019: 9 publications 2020: 8 publications 2021: 18 publications
1997 2021

224 publications in total across all disciplines

View publications per year as a table
Graham E. Gardner: publications per year, 1997 to 2021
Year Publications
1997 1
1998 2
1999 2
2000 2
2001 6
2002 0
2003 0
2004 3
2005 2
2006 16
2007 6
2008 6
2009 10
2010 13
2011 15
2012 12
2013 10
2014 26
2015 13
2016 16
2017 14
2018 14
2019 9
2020 8
2021 18
Total 224
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Graham E. Gardner publication distribution in Animal Science and Veterinary in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Animal Science and Veterinary in 2026. The highlighted bar marks where Graham E. Gardner sits on this spectrum.

No. of scientists
25 50 75 100
Bar chart with 84 bars. Horizontal axis: publications, 29–33 to 442+. Vertical axis: number of scientists, 0 to 109. Most scientists, 109, have 119–123 publications. The last bar groups every scientist with 442 publications or more. The highlighted bar, 224–228 publications, is where this scientist sits. 29–33 publications: 1 scientist 34–38 publications: 6 scientists 39–43 publications: 17 scientists 44–48 publications: 23 scientists 49–53 publications: 28 scientists 54–58 publications: 44 scientists 59–63 publications: 66 scientists 64–68 publications: 75 scientists 69–73 publications: 71 scientists 74–78 publications: 85 scientists 79–83 publications: 108 scientists 84–88 publications: 105 scientists 89–93 publications: 84 scientists 94–98 publications: 103 scientists 99–103 publications: 97 scientists 104–108 publications: 95 scientists 109–113 publications: 89 scientists 114–118 publications: 88 scientists 119–123 publications: 109 scientists 124–128 publications: 93 scientists 129–133 publications: 89 scientists 134–138 publications: 95 scientists 139–143 publications: 92 scientists 144–148 publications: 80 scientists 149–153 publications: 75 scientists 154–158 publications: 74 scientists 159–163 publications: 67 scientists 164–168 publications: 53 scientists 169–173 publications: 62 scientists 174–178 publications: 63 scientists 179–183 publications: 50 scientists 184–188 publications: 55 scientists 189–193 publications: 50 scientists 194–198 publications: 27 scientists 199–203 publications: 44 scientists 204–208 publications: 31 scientists 209–213 publications: 28 scientists 214–218 publications: 38 scientists 219–223 publications: 33 scientists 224–228 publications: 36 scientists 229–233 publications: 29 scientists 234–238 publications: 35 scientists 239–243 publications: 23 scientists 244–248 publications: 24 scientists 249–253 publications: 29 scientists 254–258 publications: 28 scientists 259–263 publications: 21 scientists 264–268 publications: 25 scientists 269–273 publications: 11 scientists 274–278 publications: 18 scientists 279–283 publications: 13 scientists 284–288 publications: 18 scientists 289–293 publications: 10 scientists 294–298 publications: 12 scientists 299–303 publications: 11 scientists 304–308 publications: 15 scientists 309–313 publications: 14 scientists 314–318 publications: 14 scientists 319–323 publications: 8 scientists 324–328 publications: 8 scientists 329–333 publications: 13 scientists 334–338 publications: 14 scientists 339–343 publications: 13 scientists 344–348 publications: 10 scientists 349–353 publications: 11 scientists 354–358 publications: 5 scientists 359–363 publications: 8 scientists 364–368 publications: 8 scientists 369–373 publications: 6 scientists 374–378 publications: 7 scientists 379–383 publications: 8 scientists 384–388 publications: 3 scientists 389–393 publications: 4 scientists 394–398 publications: 5 scientists 399–403 publications: 8 scientists 404–408 publications: 5 scientists 409–413 publications: 4 scientists 414–418 publications: 3 scientists 419–423 publications: 8 scientists 424–428 publications: 5 scientists 429–433 publications: 3 scientists 434–438 publications: 5 scientists 439–441 publications: 5 scientists 442+ publications: 99 scientists
29–33 publications 442+

This scientist: 224 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 442 publications or more.

View publications distribution as a table
Number of Animal Science and Veterinary scientists by publication count, Research.com 2026 ranking edition. Based on 3,155 ranked scientists.
Publications Scientists This scientist
29–33 1
34–38 6
39–43 17
44–48 23
49–53 28
54–58 44
59–63 66
64–68 75
69–73 71
74–78 85
79–83 108
84–88 105
89–93 84
94–98 103
99–103 97
104–108 95
109–113 89
114–118 88
119–123 109
124–128 93
129–133 89
134–138 95
139–143 92
144–148 80
149–153 75
154–158 74
159–163 67
164–168 53
169–173 62
174–178 63
179–183 50
184–188 55
189–193 50
194–198 27
199–203 44
204–208 31
209–213 28
214–218 38
219–223 33
224–228 36 224
229–233 29
234–238 35
239–243 23
244–248 24
249–253 29
254–258 28
259–263 21
264–268 25
269–273 11
274–278 18
279–283 13
284–288 18
289–293 10
294–298 12
299–303 11
304–308 15
309–313 14
314–318 14
319–323 8
324–328 8
329–333 13
334–338 14
339–343 13
344–348 10
349–353 11
354–358 5
359–363 8
364–368 8
369–373 6
374–378 7
379–383 8
384–388 3
389–393 4
394–398 5
399–403 8
404–408 5
409–413 4
414–418 3
419–423 8
424–428 5
429–433 3
434–438 5
439–441 5
442+ 99
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Graham E. Gardner D-index placement in Animal Science and Veterinary in 2026

The chart shows the D-index (discipline H-index) distribution of Animal Science and Veterinary scientists ranked by Research.com in 2026. The highlighted bar marks where Graham E. Gardner sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 58 bars. Horizontal axis: D-Index, 20 to 77+. Vertical axis: number of scientists, 0 to 158. Most scientists, 158, have 31 D-Index. The last bar groups every scientist with 77 D-Index or more. The highlighted bar, 37 D-Index, is where this scientist sits. 20 D-Index: 5 scientists 21 D-Index: 22 scientists 22 D-Index: 31 scientists 23 D-Index: 44 scientists 24 D-Index: 53 scientists 25 D-Index: 66 scientists 26 D-Index: 80 scientists 27 D-Index: 101 scientists 28 D-Index: 106 scientists 29 D-Index: 116 scientists 30 D-Index: 154 scientists 31 D-Index: 158 scientists 32 D-Index: 143 scientists 33 D-Index: 137 scientists 34 D-Index: 126 scientists 35 D-Index: 134 scientists 36 D-Index: 112 scientists 37 D-Index: 115 scientists 38 D-Index: 105 scientists 39 D-Index: 111 scientists 40 D-Index: 107 scientists 41 D-Index: 87 scientists 42 D-Index: 74 scientists 43 D-Index: 62 scientists 44 D-Index: 61 scientists 45 D-Index: 41 scientists 46 D-Index: 51 scientists 47 D-Index: 43 scientists 48 D-Index: 28 scientists 49 D-Index: 47 scientists 50 D-Index: 40 scientists 51 D-Index: 34 scientists 52 D-Index: 33 scientists 53 D-Index: 43 scientists 54 D-Index: 16 scientists 55 D-Index: 32 scientists 56 D-Index: 21 scientists 57 D-Index: 18 scientists 58 D-Index: 28 scientists 59 D-Index: 33 scientists 60 D-Index: 17 scientists 61 D-Index: 21 scientists 62 D-Index: 18 scientists 63 D-Index: 21 scientists 64 D-Index: 9 scientists 65 D-Index: 20 scientists 66 D-Index: 11 scientists 67 D-Index: 16 scientists 68 D-Index: 12 scientists 69 D-Index: 17 scientists 70 D-Index: 13 scientists 71 D-Index: 15 scientists 72 D-Index: 11 scientists 73 D-Index: 11 scientists 74 D-Index: 14 scientists 75 D-Index: 5 scientists 76 D-Index: 6 scientists 77+ D-Index: 100 scientists
20 D-Index 77+

This scientist: 37 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 77 D-Index or more.

View D-Index distribution as a table
Number of Animal Science and Veterinary scientists by D-index, Research.com 2026 ranking edition. Based on 3,155 ranked scientists.
D-Index Scientists This scientist
20 5
21 22
22 31
23 44
24 53
25 66
26 80
27 101
28 106
29 116
30 154
31 158
32 143
33 137
34 126
35 134
36 112
37 115 37
38 105
39 111
40 107
41 87
42 74
43 62
44 61
45 41
46 51
47 43
48 28
49 47
50 40
51 34
52 33
53 43
54 16
55 32
56 21
57 18
58 28
59 33
60 17
61 21
62 18
63 21
64 9
65 20
66 11
67 16
68 12
69 17
70 13
71 15
72 11
73 11
74 14
75 5
76 6
77+ 100
Download as CSV

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Biochemistry
  • Statistics

His primary scientific interests are in Animal science, Sire, Tenderness, Biotechnology and Environmental management system. His Animal science research is multidisciplinary, incorporating elements of Carcass weight and Nutrient. His Sire research is multidisciplinary, relying on both Breed and Eye muscle.

His biological study spans a wide range of topics, including Loin and Heritability. His research integrates issues of Glycolysis, Phosphofructokinase and Myoglobin in his study of Biotechnology. Graham E. Gardner combines subjects such as Post weaning, Muscle weight, Internal medicine and Endocrinology with his study of Longissimus muscle.

His most cited work include:

  • Genetic parameters for meat quality traits of Australian lamb meat (84 citations)
  • Associations of sire estimated breeding values and objective meat quality measurements with sensory scores in Australian lamb. (73 citations)
  • Associations of sire estimated breeding values and objective meat quality measurements with sensory scores in Australian lamb. (73 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Animal science, Sire, Intramuscular fat, Loin and Tenderness. His Animal science study incorporates themes from Environmental management system, Anatomy, Eye muscle, Biotechnology and Carcass weight. His Sire study combines topics in areas such as Post weaning, Animal breeding, Flock, Breed and Computed tomography.

His Intramuscular fat research incorporates elements of Selection and Marbled meat. His study in the fields of Meat tenderness under the domain of Tenderness overlaps with other disciplines such as Sensory system. His research investigates the connection between Glycogen and topics such as Longissimus Thoracis that intersect with issues in Endocrinology and Internal medicine.

He most often published in these fields:

  • Animal science (71.49%)
  • Sire (30.92%)
  • Intramuscular fat (23.29%)

What were the highlights of his more recent work (between 2016-2021)?

  • Animal science (71.49%)
  • Intramuscular fat (23.29%)
  • Loin (21.69%)

In recent papers he was focusing on the following fields of study:

Graham E. Gardner spends much of his time researching Animal science, Intramuscular fat, Loin, Tenderness and Longissimus Lumborum. His Pre slaughter study, which is part of a larger body of work in Animal science, is frequently linked to Dual-energy X-ray absorptiometry, bridging the gap between disciplines. His Intramuscular fat research includes elements of Endocrinology, Eye muscle, Internal medicine and Marbled meat.

The various areas that Graham E. Gardner examines in his Loin study include Carcass weight, Flock and Sire. The study incorporates disciplines such as Breed, Nutritional quality and Polyunsaturated fatty acid in addition to Sire. His study in the field of Warner bratzler is also linked to topics like Psychology and Testing protocols.

Between 2016 and 2021, his most popular works were:

  • Update of Meat Standards Australia and the cuts based grading scheme for beef and sheepmeat (21 citations)
  • Untrained consumer assessment of the eating quality of European beef: 2. Demographic factors have only minor effects on consumer scores and willingness to pay (18 citations)
  • Factors affecting lamb eating quality and the potential for their integration into an MSA sheepmeat grading model (16 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Statistics
  • Gene

His primary areas of study are Grading, Supply chain, Animal science, Loin and Computed tomography. His Supply chain study combines topics from a wide range of disciplines, such as Value based payment, Diversification, Risk analysis and Feedlot. His research in Animal science intersects with topics in Animal husbandry, Pasture and Flock.

His work carried out in the field of Loin brings together such families of science as Increased intramuscular fat, Lightness, Yield and Sire. The Computed tomography study combines topics in areas such as Imaging phantom, Nuclear medicine and Calibration. His study looks at the relationship between Nuclear medicine and topics such as Grading, which overlap with Intramuscular fat.

Best Publications

  • What is artificial meat and what does it mean for the future of the meat industry

    Sarah P.F. Bonny;Sarah P.F. Bonny;Graham E. Gardner;David W. Pethick;Jean François Hocquette

  • Genetic parameters for meat quality traits of Australian lamb meat

    S.I. Mortimer;J.H.J. van der Werf;R.H. Jacob;D.L. Hopkins

  • Associations of sire estimated breeding values and objective meat quality measurements with sensory scores in Australian lamb.

    L. Pannier;G.E. Gardner;G.E. Gardner;K.L. Pearce;K.L. Pearce;M. McDonagh;M. McDonagh

  • Intramuscular fat in the longissimus muscle is reduced in lambs from sires selected for leanness

    L. Pannier;L. Pannier;D.W. Pethick;D.W. Pethick;G.H. Geesink;G.H. Geesink;A.J. Ball;A.J. Ball

  • Genetic and environmental effects on the muscle structure response post-mortem.

    John Mitchell Thompson;Diana Perry;Briana Louise Daly;G E Gardner

  • Glycogen metabolism and ultimate pH of muscle in Merino, first-cross, and second-cross wether lambs as affected by stress before slaughter

    G. E. Gardner;L. Kennedy;J. T. B. Milton;D. W. Pethick

  • European conformation and fat scores have no relationship with eating quality

    S. P. F. Bonny;D. W. Pethick;I. Legrand;J. Wierzbicki

  • Factors affecting the colour of lamb meat from the longissimus muscle during display: The influence of muscle weight and muscle oxidative capacity

    H.B. Calnan;H.B. Calnan;R.H. Jacob;D.W. Pethick;D.W. Pethick;G.E. Gardner;G.E. Gardner

  • Preliminary estimates of genetic parameters for carcass and meat quality traits in Australian sheep

    S. I. Mortimer;J. H. J. van der Werf;J. H. J. van der Werf;R. H. Jacob;R. H. Jacob;D. W. Pethick;D. W. Pethick

  • Beef carcasses with larger eye muscle areas, lower ossification scores and improved nutrition have a lower incidence of dark cutting

    Peter McGilchrist;Clair Alston;Graham Gardner;Graham Gardner;Kirsty Thomson

  • Cluster analysis application identifies muscle characteristics of importance for beef tenderness

    Sghaier Chriki;Graham E Gardner;Catherine Jurie;Brigitte Picard

  • Longitudinal prevalence, oocyst shedding and molecular characterisation of Cryptosporidium species in sheep across four states in Australia

    Rongchang Yang;Caroline Jacobson;Graham Gardner;Ian Carmichael

  • The effect of genotype and plane of nutrition on the rate of pH decline in lamb carcasses and the expression of metabolic enzymatic markers

    G. E. Gardner;D. W. Pethick;P. L. Greenwood;R. S. Hegarty

  • Production factors influence fresh lamb longissimus colour more than muscle traits such as myoglobin concentration and pH.

    H. Calnan;H. Calnan;R.H. Jacob;D.W. Pethick;D.W. Pethick;G.E. Gardner;G.E. Gardner

  • Lamb myofibre characteristics are influenced by sire estimated breeding values and pastoral nutritional system

    P. L. Greenwood;P. L. Greenwood;G. E. Gardner;R. S. Hegarty

  • Current situation and future prospects for the Australian beef industry — A review

    Paul L Greenwood;Graham E Gardner;Drewe M Ferguson

  • Artificial meat and the future of the meat industry

    Sarah P. F. Bonny;Graham E. Gardner;David W. Pethick;Jean-François Hocquette

  • Update of Meat Standards Australia and the cuts based grading scheme for beef and sheepmeat

    Sarah P.F. Bonny;Sarah P.F. Bonny;Rachel A. O'Reilly;David W. Pethick;Graham E. Gardner

  • Using Australian Sheep Breeding Values to increase lean meat yield percentage

    G. E. Gardner;G. E. Gardner;A. Williams;A. Williams;J. Siddell;A. J. Ball

  • Associations of genetic and non-genetic factors with concentrations of iron and zinc in the longissimus muscle of lamb.

    L. Pannier;D.W. Pethick;D.W. Pethick;M.D. Boyce;M.D. Boyce;A.J. Ball;A.J. Ball

  • Factors affecting lamb eating quality and the potential for their integration into an MSA sheepmeat grading model

    L. Pannier;L. Pannier;G.E. Gardner;R.A. O'Reilly;D.W. Pethick

  • The impact of nutrition on bovine muscle glycogen metabolism following exercise

    G. E. Gardner;B. L. McIntyre;G. D. Tudor;D. W. Pethick

  • Prime Australian lamb supplies key nutrients for human health

    L. Pannier;L. Pannier;E. N. Ponnampalam;G. E. Gardner;G. E. Gardner;D. L. Hopkins

  • Sire and growth path effects on sheep meat production. 2. Meat and eating quality

    D.L. Hopkins;D.F. Stanley;E.S. Toohey;G.E. Gardner

  • Sheep genotype, age and muscle type affect the expression of metabolic enzyme markers

    GE Gardner;GE Gardner;DL Hopkins;PL Greenwood;MA Cake;MA Cake

  • Dual X-ray absorptiometry accurately predicts carcass composition from live sheep and chemical composition of live and dead sheep.

    K.L. Pearce;K.L. Pearce;M. Ferguson;M. Ferguson;M. Ferguson;G. Gardner;G. Gardner;N. Smith;N. Smith

  • The effect of time off feed prior to slaughter on muscle glycogen metabolism and rate of pH decline in three different muscles of stimulated and non-stimulated sheep carcasses

    B L Daly;B L Daly;Graham Edwin Gardner;D M Ferguson;John Mitchell Thompson

  • Intramuscular fat in lamb muscle and the impact of selection for improved carcass lean meat yield.

    F.L. Anderson;L. Pannier;D.W. Pethick;G.E. Gardner

  • Development of a quantitative PCR (qPCR) for Giardia and analysis of the prevalence, cyst shedding and genotypes of Giardia present in sheep across four states in Australia.

    Rongchang Yang;Caroline Jacobson;Graham Gardner;Ian Carmichael

Frequent Co-Authors

David W. Pethick
David W. Pethick Murdoch University
Robin H. Jacob
Robin H. Jacob Government of Western Australia
Alex J. Ball
Alex J. Ball University of New England
Jean-François Hocquette
Jean-François Hocquette INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
David L. Hopkins
David L. Hopkins Charles Sturt University
Caroline Jacobson
Caroline Jacobson Murdoch University
Una Ryan
Una Ryan Murdoch University
Rongchang Yang
Rongchang Yang Murdoch University
Paul L. Greenwood
Paul L. Greenwood University of New England
John Mitchell Thompson
John Mitchell Thompson University of New England

External Links

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Related Online Degrees & Career Pathways

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For a more health-oriented direction, an online exercise science degree offers a fast track to understanding physical performance and rehabilitation. This complements veterinary studies by deepening knowledge of anatomy and physiology relevant to animal care.

Best Scientists Citing Graham E. Gardner

David L. Hopkins

David L. Hopkins

Charles Sturt University

Publications: 94

David W. Pethick

David W. Pethick

Murdoch University

Publications: 55

Robyn D. Warner

Robyn D. Warner

University of Melbourne

Publications: 54

Paul L. Greenwood

Paul L. Greenwood

University of New England

Publications: 33

Eric N. Ponnampalam

Eric N. Ponnampalam

University of Melbourne

Publications: 30

Frank R. Dunshea

Frank R. Dunshea

University of Melbourne

Publications: 28

Brigitte Picard

Brigitte Picard

University of Clermont Auvergne

Publications: 25

Una Ryan

Una Ryan

Murdoch University

Publications: 24

Jean-François Hocquette

Jean-François Hocquette

INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement

Publications: 23

Benjamin W.B. Holman

Benjamin W.B. Holman

New South Wales Department of Primary Industries

Publications: 22

Robin H. Jacob

Robin H. Jacob

Government of Western Australia

Publications: 21

G. H. Geesink

G. H. Geesink

University of New England

Publications: 16

Ben J. Hayes

Ben J. Hayes

University of Queensland

Publications: 15

John Mitchell Thompson

John Mitchell Thompson

University of New England

Publications: 15

Peter D. Nichols

Peter D. Nichols

Commonwealth Scientific and Industrial Research Organisation

Publications: 14

Alex J. Ball

Alex J. Ball

University of New England

Publications: 13

Trending Scientists

Sarah Grogan

Sarah Grogan

Manchester Metropolitan University

Dimitrios Kapogiannis

Dimitrios Kapogiannis

National Institutes of Health

Yasufumi Shigeyoshi

Yasufumi Shigeyoshi

Kindai University

David F. Grigal

David F. Grigal

University of Minnesota

J. Steven Leeder

J. Steven Leeder

Children's Mercy Hospital

S. Bradleigh Vinson

S. Bradleigh Vinson

Texas A&M University

M. Nafi Toksöz

M. Nafi Toksöz

MIT

Urs Klötzli

Urs Klötzli

University of Vienna

John A. Schneider

John A. Schneider

University of Chicago

John Shotter

John Shotter

University of New Hampshire

Nicolas J. Cerf

Nicolas J. Cerf

Université Libre de Bruxelles

Byung-Gon Chun

Byung-Gon Chun

Seoul National University

Stefan Wolf

Stefan Wolf

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Qiguang Dai

Qiguang Dai

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E. David Crawford

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Graham H. Pyke

Macquarie University

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