World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 66 2644 2504 92 90 262 12001

Antonio Reverter publications per year

The chart shows the history of publications by Antonio Reverter between 1992 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Antonio Reverter published across 34 years, from 1992 to 2025, averaging 9.3 papers a year. Output peaked at 23 publications in 2020. 26 of the 316 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1992 to 2025. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 2020. 1992: 1 publication 1993: 0 publications 1994: 2 publications 1995: 3 publications 1996: 1 publication 1997: 3 publications 1998: 1 publication 1999: 0 publications 2000: 3 publications 2001: 4 publications 2002: 4 publications 2003: 7 publications 2004: 2 publications 2005: 12 publications 2006: 9 publications 2007: 9 publications 2008: 10 publications 2009: 9 publications 2010: 11 publications 2011: 10 publications 2012: 16 publications 2013: 15 publications 2014: 16 publications 2015: 11 publications 2016: 13 publications 2017: 15 publications 2018: 22 publications 2019: 9 publications 2020: 23 publications 2021: 17 publications 2022: 17 publications 2023: 15 publications 2024: 14 publications 2025: 12 publications
1992 2025

316 publications in total across all disciplines

View publications per year as a table
Antonio Reverter: publications per year, 1992 to 2025
Year Publications
1992 1
1993 0
1994 2
1995 3
1996 1
1997 3
1998 1
1999 0
2000 3
2001 4
2002 4
2003 7
2004 2
2005 12
2006 9
2007 9
2008 10
2009 9
2010 11
2011 10
2012 16
2013 15
2014 16
2015 11
2016 13
2017 15
2018 22
2019 9
2020 23
2021 17
2022 17
2023 15
2024 14
2025 12
Total 316
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Antonio Reverter publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Antonio Reverter sits on this spectrum.

No. of scientists
50 100 150 200
Bar chart with 67 bars. Horizontal axis: publications, 45–54 to 703+. Vertical axis: number of scientists, 0 to 217. Most scientists, 217, have 125–134 publications. The last bar groups every scientist with 703 publications or more. The highlighted bar, 255–264 publications, is where this scientist sits. 45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45–54 publications 703+

This scientist: 262 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

View publications distribution as a table
Number of Genetics scientists by publication count, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
Publications Scientists This scientist
45–54 6
55–64 10
65–74 35
75–84 84
85–94 102
95–104 151
105–114 175
115–124 203
125–134 217
135–144 205
145–154 193
155–164 188
165–174 170
175–184 178
185–194 164
195–204 173
205–214 159
215–224 134
225–234 143
235–244 105
245–254 114
255–264 92 262
265–274 88
275–284 87
285–294 80
295–304 62
305–314 75
315–324 67
325–334 60
335–344 52
345–354 40
355–364 48
365–374 47
375–384 46
385–394 31
395–404 27
405–414 40
415–424 30
425–434 43
435–444 29
445–454 14
455–464 28
465–474 21
475–484 21
485–494 22
495–504 17
505–514 12
515–524 11
525–534 8
535–544 8
545–554 14
555–564 4
565–574 11
575–584 5
585–594 11
595–604 12
605–614 7
615–624 6
625–634 10
635–644 9
645–654 10
655–664 6
665–674 6
675–684 6
685–694 4
695–702 6
703+ 100
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Antonio Reverter D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Antonio Reverter sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 160+. Vertical axis: number of scientists, 0 to 191. Most scientists, 191, have 62–63 D-Index. The last bar groups every scientist with 160 D-Index or more. The highlighted bar, 66–67 D-Index, is where this scientist sits. 40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40–41 D-Index 160+

This scientist: 66 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

View D-Index distribution as a table
Number of Genetics scientists by D-index, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
D-Index Scientists This scientist
40–41 24
42–43 52
44–45 84
46–47 112
48–49 118
50–51 141
52–53 143
54–55 145
56–57 179
58–59 162
60–61 175
62–63 191
64–65 172
66–67 184 66
68–69 164
70–71 158
72–73 150
74–75 136
76–77 127
78–79 127
80–81 111
82–83 110
84–85 110
86–87 84
88–89 102
90–91 66
92–93 72
94–95 70
96–97 54
98–99 60
100–101 49
102–103 55
104–105 45
106–107 42
108–109 28
110–111 39
112–113 25
114–115 31
116–117 29
118–119 34
120–121 29
122–123 29
124–125 18
126–127 27
128–129 22
130–131 16
132–133 11
134–135 17
136–137 12
138–139 21
140–141 4
142–143 9
144–145 14
146–147 6
148–149 10
150–151 7
152–153 9
154–155 8
156–157 8
158–159 9
160+ 96
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Overview

Antonio Reverter is affiliated with the Commonwealth Scientific and Industrial Research Organisation in Australia. Their research primarily spans the field of Biochemistry, Genetics, and Molecular Biology, with a particular emphasis on Genetics and Molecular Biology. Their body of work includes 143 publications, with notable contributions in Genetics (87 publications), Molecular Biology (34 publications), Cancer Research (20 publications), Agronomy and Crop Science (14 publications), and Animal Science and Zoology (12 publications).

Their scientific work covers a range of topics, including:

  • Genetic and phenotypic traits in livestock
  • Genetic Mapping and Diversity in Plants and Animals
  • Cancer-related molecular mechanisms research
  • Animal Behavior and Welfare Studies
  • Livestock Farming and Management
  • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
  • Genetics and Plant Breeding

Antonio Reverter has contributed to several scholarly papers. Recent publications include:

  • A systems biology framework integrating GWAS and RNA-seq to shed light on the molecular basis of sperm quality in swine, 2020, Genetics Selection Evolution
  • Selection signatures in tropical cattle are enriched for promoter and coding regions and reveal missense mutations in the damage response gene HELB, 2020, Genetics Selection Evolution
  • Chromatin accessibility and regulatory vocabulary across indicine cattle tissues, 2021, Genome biology
  • X chromosome variants are associated with male fertility traits in two bovine populations, 2020, Genetics Selection Evolution
  • A low-density SNP genotyping panel for the accurate prediction of cattle breeds, 2020, Journal of Animal Science

Their works have been published frequently in journals such as:

  • Journal of Animal Science (11 publications)
  • Genetics Selection Evolution (8 publications)
  • Animal Production Science (8 publications)
  • BMC Genomics (6 publications)
  • Genes (4 publications)

Antonio Reverter collaborates extensively with other researchers. Frequent co-authors include:

  • Pâmela A. Alexandre
  • Laércio R. Porto-Neto
  • Marina R. S. Fortes
  • Aaron Ingham
  • Yutao Li

Best Publications

  • Combining partial correlation and an information theory approach to the reversed engineering of gene co-expression networks

    Antonio Reverter;Eva K. F. Chan

  • Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method.

    Andres Legarra;Antonio Reverter

  • A Multi-Trait, Meta-analysis for Detecting Pleiotropic Polymorphisms for Stature, Fatness and Reproduction in Beef Cattle

    Sunduimijid Bolormaa;Jennie E. Pryce;Antonio Reverter;Yuandan Zhang

  • Gene expression patterns during intramuscular fat development in cattle.

    Y H Wang;Y H Wang;N I Bower;N I Bower;A Reverter;A Reverter;Siok Hwee Tan;Siok Hwee Tan

  • A differential wiring analysis of expression data correctly identifies the gene containing the causal mutation

    Nicholas J. Hudson;Antonio Reverter;Brian P. Dalrymple

  • A validated whole-genome association study of efficient food conversion in cattle.

    William Barendse;Antonio Reverter;Rowan J Bunch;Blair E Harrison

  • Transcriptional profiling of skeletal muscle tissue from two breeds of cattle

    Yong-Hong Wang;Keren A. Byrne;Antonio Reverter;Gregory S. Harper

  • Genetic analyses of live-animal ultrasound and abattoir carcass traits in Australian Angus and Hereford cattle.

    A Reverter;D J Johnston;H U Graser;M L Wolcott

  • Regulatory impact factors

    Antonio Reverter;Nicholas J. Hudson;Shivashankar H. Nagaraj;Miguel Pérez-Enciso

  • Accuracy of prediction of genomic breeding values for residual feed intake and carcass and meat quality traits in Bos taurus, Bos indicus, and composite beef cattle.

    S. Bolormaa;J. E. Pryce;K. Kemper;K. Savin

  • Association weight matrix for the genetic dissection of puberty in beef cattle.

    Marina R. S. Fortes;Antonio Reverter;Yuandan Zhang;Eliza Collis

  • Genome-wide association studies of female reproduction in tropically adapted beef cattle.

    R. J. Hawken;Y. D. Zhang;M. R. S. Fortes;M. R. S. Fortes;M. R. S. Fortes;E. Collis;E. Collis

  • Gene expression studies of developing bovine longissimus muscle from two different beef cattle breeds

    Sigrid A Lehnert;Sigrid A Lehnert;Antonio Reverter;Antonio Reverter;Keren A Byrne;Keren A Byrne;Yonghong Wang;Yonghong Wang

  • Gene regulatory network inference: evaluation and application to ovarian cancer allows the prioritization of drug targets

    Piyush B Madhamshettiwar;Piyush B Madhamshettiwar;Stefan R Maetschke;Stefan R Maetschke;Melissa J Davis;Melissa J Davis;Antonio Reverter

  • Genomic Prediction of Breeding Values Using a Subset of SNPs Identified by Three Machine Learning Methods.

    Bo Li;Nanxi Zhang;You-Gan Wang;Andrew W. George

  • The genetic architecture of climatic adaptation of tropical cattle

    Laercio R. Porto-Neto;Antonio Reverter;Kishore C. Prayaga;Eva K. F. Chan

  • GENETIC VARIATION IN FEED INTAKE AND EFFICIENCY OF MATURE BEEF COWS AND RELATIONSHIPS WITH POSTWEANING MEASUREMENTS

    J. A. Archer;A. Reverter;R. M. Herd;D. J. Johnston

  • Multi-tissue omics analyses reveal molecular regulatory networks for puberty in composite beef cattle.

    Angela Cánovas;Antonio Reverter;Kasey L. DeAtley;Ryan L. Ashley

  • Genetic and phenotypic characterisation of animal, carcass, and meat quality traits from temperate and tropically adapted beef breeds. 4. Correlations among animal, carcass, and meat quality traits *

    A. Reverter;D. J. Johnston;D. M. Ferguson;D. Perry

  • Identification of immune genes and proteins involved in the response of bovine mammary tissue to Staphylococcus aureus infection

    Ylva C Strandberg Lutzow;Laurelea Donaldson;Christian P Gray;Christian P Gray;Tony Vuocolo

Frequent Co-Authors

Sigrid A. Lehnert
Sigrid A. Lehnert Commonwealth Scientific and Industrial Research Organisation
Laercio R. Porto-Neto
Laercio R. Porto-Neto Commonwealth Scientific and Industrial Research Organisation
Brian P. Dalrymple
Brian P. Dalrymple University of Western Australia
William Barendse
William Barendse Commonwealth Scientific and Industrial Research Organisation
Paul L. Greenwood
Paul L. Greenwood University of New England
Stephen S. Moore
Stephen S. Moore University of Queensland
David Johnston
David Johnston University of New England
Michael E. Goddard
Michael E. Goddard University of Melbourne
Juan F. Medrano
Juan F. Medrano University of California, Davis
Ben J. Hayes
Ben J. Hayes University of Queensland

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