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David G. Barker

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Plant Science and Agronomy 49 2236 2064 70 69 90 10208

David G. Barker publications per year

The chart shows the history of publications by David G. Barker between 1978 and 2019, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. David G. Barker published across 42 years, from 1978 to 2019, averaging 2.2 papers a year. Output peaked at 6 publications in 2015. 2 of the 93 publications appeared in the last two years.

No. of publications
2 4 6
Bar chart. Horizontal axis: year, 1978 to 2019. Vertical axis: number of publications, 0 to 6. Peak 6 publications in 2015. 1978: 1 publication 1979: 2 publications 1980: 0 publications 1981: 1 publication 1982: 3 publications 1983: 1 publication 1984: 1 publication 1985: 4 publications 1986: 5 publications 1987: 2 publications 1988: 2 publications 1989: 1 publication 1990: 2 publications 1991: 3 publications 1992: 2 publications 1993: 2 publications 1994: 4 publications 1995: 1 publication 1996: 1 publication 1997: 0 publications 1998: 3 publications 1999: 1 publication 2000: 1 publication 2001: 5 publications 2002: 2 publications 2003: 2 publications 2004: 1 publication 2005: 5 publications 2006: 5 publications 2007: 1 publication 2008: 4 publications 2009: 3 publications 2010: 2 publications 2011: 1 publication 2012: 3 publications 2013: 3 publications 2014: 0 publications 2015: 6 publications 2016: 2 publications 2017: 3 publications 2018: 1 publication 2019: 1 publication
1978 2019

93 publications in total across all disciplines

View publications per year as a table
David G. Barker: publications per year, 1978 to 2019
Year Publications
1978 1
1979 2
1980 0
1981 1
1982 3
1983 1
1984 1
1985 4
1986 5
1987 2
1988 2
1989 1
1990 2
1991 3
1992 2
1993 2
1994 4
1995 1
1996 1
1997 0
1998 3
1999 1
2000 1
2001 5
2002 2
2003 2
2004 1
2005 5
2006 5
2007 1
2008 4
2009 3
2010 2
2011 1
2012 3
2013 3
2014 0
2015 6
2016 2
2017 3
2018 1
2019 1
Total 93
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David G. Barker publication distribution in Plant Science and Agronomy in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Plant Science and Agronomy in 2026. The highlighted bar marks where David G. Barker sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 88 bars. Horizontal axis: publications, 36–40 to 467+. Vertical axis: number of scientists, 0 to 255. Most scientists, 255, have 111–115 publications. The last bar groups every scientist with 467 publications or more. The highlighted bar, 86–90 publications, is where this scientist sits. 36–40 publications: 2 scientists 41–45 publications: 7 scientists 46–50 publications: 40 scientists 51–55 publications: 58 scientists 56–60 publications: 60 scientists 61–65 publications: 107 scientists 66–70 publications: 130 scientists 71–75 publications: 153 scientists 76–80 publications: 191 scientists 81–85 publications: 199 scientists 86–90 publications: 206 scientists 91–95 publications: 218 scientists 96–100 publications: 226 scientists 101–105 publications: 227 scientists 106–110 publications: 247 scientists 111–115 publications: 255 scientists 116–120 publications: 253 scientists 121–125 publications: 233 scientists 126–130 publications: 219 scientists 131–135 publications: 201 scientists 136–140 publications: 194 scientists 141–145 publications: 176 scientists 146–150 publications: 157 scientists 151–155 publications: 147 scientists 156–160 publications: 151 scientists 161–165 publications: 159 scientists 166–170 publications: 137 scientists 171–175 publications: 128 scientists 176–180 publications: 126 scientists 181–185 publications: 98 scientists 186–190 publications: 114 scientists 191–195 publications: 100 scientists 196–200 publications: 90 scientists 201–205 publications: 71 scientists 206–210 publications: 98 scientists 211–215 publications: 70 scientists 216–220 publications: 86 scientists 221–225 publications: 61 scientists 226–230 publications: 58 scientists 231–235 publications: 53 scientists 236–240 publications: 64 scientists 241–245 publications: 39 scientists 246–250 publications: 46 scientists 251–255 publications: 51 scientists 256–260 publications: 36 scientists 261–265 publications: 44 scientists 266–270 publications: 35 scientists 271–275 publications: 30 scientists 276–280 publications: 33 scientists 281–285 publications: 35 scientists 286–290 publications: 36 scientists 291–295 publications: 26 scientists 296–300 publications: 26 scientists 301–305 publications: 31 scientists 306–310 publications: 30 scientists 311–315 publications: 21 scientists 316–320 publications: 29 scientists 321–325 publications: 14 scientists 326–330 publications: 15 scientists 331–335 publications: 15 scientists 336–340 publications: 17 scientists 341–345 publications: 15 scientists 346–350 publications: 12 scientists 351–355 publications: 17 scientists 356–360 publications: 18 scientists 361–365 publications: 12 scientists 366–370 publications: 11 scientists 371–375 publications: 6 scientists 376–380 publications: 6 scientists 381–385 publications: 11 scientists 386–390 publications: 9 scientists 391–395 publications: 10 scientists 396–400 publications: 8 scientists 401–405 publications: 4 scientists 406–410 publications: 9 scientists 411–415 publications: 11 scientists 416–420 publications: 4 scientists 421–425 publications: 7 scientists 426–430 publications: 4 scientists 431–435 publications: 3 scientists 436–440 publications: 5 scientists 441–445 publications: 8 scientists 446–450 publications: 6 scientists 451–455 publications: 7 scientists 456–460 publications: 5 scientists 461–465 publications: 6 scientists 466 publications: 2 scientists 467+ publications: 99 scientists
36–40 publications 467+

This scientist: 90 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 467 publications or more.

View publications distribution as a table
Number of Plant Science and Agronomy scientists by publication count, Research.com 2026 ranking edition. Based on 6,494 ranked scientists.
Publications Scientists This scientist
36–40 2
41–45 7
46–50 40
51–55 58
56–60 60
61–65 107
66–70 130
71–75 153
76–80 191
81–85 199
86–90 206 90
91–95 218
96–100 226
101–105 227
106–110 247
111–115 255
116–120 253
121–125 233
126–130 219
131–135 201
136–140 194
141–145 176
146–150 157
151–155 147
156–160 151
161–165 159
166–170 137
171–175 128
176–180 126
181–185 98
186–190 114
191–195 100
196–200 90
201–205 71
206–210 98
211–215 70
216–220 86
221–225 61
226–230 58
231–235 53
236–240 64
241–245 39
246–250 46
251–255 51
256–260 36
261–265 44
266–270 35
271–275 30
276–280 33
281–285 35
286–290 36
291–295 26
296–300 26
301–305 31
306–310 30
311–315 21
316–320 29
321–325 14
326–330 15
331–335 15
336–340 17
341–345 15
346–350 12
351–355 17
356–360 18
361–365 12
366–370 11
371–375 6
376–380 6
381–385 11
386–390 9
391–395 10
396–400 8
401–405 4
406–410 9
411–415 11
416–420 4
421–425 7
426–430 4
431–435 3
436–440 5
441–445 8
446–450 6
451–455 7
456–460 5
461–465 6
466 2
467+ 99
Download as CSV

David G. Barker D-index placement in Plant Science and Agronomy in 2026

The chart shows the D-index (discipline H-index) distribution of Plant Science and Agronomy scientists ranked by Research.com in 2026. The highlighted bar marks where David G. Barker sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 80 bars. Horizontal axis: D-Index, 30 to 109+. Vertical axis: number of scientists, 0 to 288. Most scientists, 288, have 34 D-Index. The last bar groups every scientist with 109 D-Index or more. The highlighted bar, 49 D-Index, is where this scientist sits. 30 D-Index: 200 scientists 31 D-Index: 236 scientists 32 D-Index: 253 scientists 33 D-Index: 283 scientists 34 D-Index: 288 scientists 35 D-Index: 240 scientists 36 D-Index: 246 scientists 37 D-Index: 243 scientists 38 D-Index: 247 scientists 39 D-Index: 229 scientists 40 D-Index: 232 scientists 41 D-Index: 230 scientists 42 D-Index: 228 scientists 43 D-Index: 219 scientists 44 D-Index: 193 scientists 45 D-Index: 164 scientists 46 D-Index: 158 scientists 47 D-Index: 143 scientists 48 D-Index: 131 scientists 49 D-Index: 127 scientists 50 D-Index: 122 scientists 51 D-Index: 122 scientists 52 D-Index: 110 scientists 53 D-Index: 102 scientists 54 D-Index: 98 scientists 55 D-Index: 79 scientists 56 D-Index: 85 scientists 57 D-Index: 88 scientists 58 D-Index: 91 scientists 59 D-Index: 62 scientists 60 D-Index: 61 scientists 61 D-Index: 59 scientists 62 D-Index: 54 scientists 63 D-Index: 61 scientists 64 D-Index: 59 scientists 65 D-Index: 58 scientists 66 D-Index: 41 scientists 67 D-Index: 49 scientists 68 D-Index: 39 scientists 69 D-Index: 32 scientists 70 D-Index: 40 scientists 71 D-Index: 47 scientists 72 D-Index: 38 scientists 73 D-Index: 28 scientists 74 D-Index: 29 scientists 75 D-Index: 28 scientists 76 D-Index: 22 scientists 77 D-Index: 21 scientists 78 D-Index: 25 scientists 79 D-Index: 26 scientists 80 D-Index: 19 scientists 81 D-Index: 16 scientists 82 D-Index: 12 scientists 83 D-Index: 16 scientists 84 D-Index: 14 scientists 85 D-Index: 11 scientists 86 D-Index: 17 scientists 87 D-Index: 13 scientists 88 D-Index: 10 scientists 89 D-Index: 12 scientists 90 D-Index: 18 scientists 91 D-Index: 16 scientists 92 D-Index: 16 scientists 93 D-Index: 17 scientists 94 D-Index: 12 scientists 95 D-Index: 8 scientists 96 D-Index: 9 scientists 97 D-Index: 9 scientists 98 D-Index: 11 scientists 99 D-Index: 12 scientists 100 D-Index: 5 scientists 101 D-Index: 8 scientists 102 D-Index: 4 scientists 103 D-Index: 11 scientists 104 D-Index: 5 scientists 105 D-Index: 9 scientists 106 D-Index: 7 scientists 107 D-Index: 4 scientists 108 D-Index: 8 scientists 109+ D-Index: 99 scientists
30 D-Index 109+

This scientist: 49 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 109 D-Index or more.

View D-Index distribution as a table
Number of Plant Science and Agronomy scientists by D-index, Research.com 2026 ranking edition. Based on 6,494 ranked scientists.
D-Index Scientists This scientist
30 200
31 236
32 253
33 283
34 288
35 240
36 246
37 243
38 247
39 229
40 232
41 230
42 228
43 219
44 193
45 164
46 158
47 143
48 131
49 127 49
50 122
51 122
52 110
53 102
54 98
55 79
56 85
57 88
58 91
59 62
60 61
61 59
62 54
63 61
64 59
65 58
66 41
67 49
68 39
69 32
70 40
71 47
72 38
73 28
74 29
75 28
76 22
77 21
78 25
79 26
80 19
81 16
82 12
83 16
84 14
85 11
86 17
87 13
88 10
89 12
90 18
91 16
92 16
93 17
94 12
95 8
96 9
97 9
98 11
99 12
100 5
101 8
102 4
103 11
104 5
105 9
106 7
107 4
108 8
109+ 99
Download as CSV

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Botany
  • Bacteria

David G. Barker focuses on Botany, Medicago truncatula, Cell biology, Symbiosis and Rhizobiaceae. David G. Barker interconnects Genetic analysis, Sinorhizobium meliloti and Rhizobium in the investigation of issues within Botany. David G. Barker is involved in the study of Medicago truncatula that focuses on Periarbuscular membrane in particular.

His Cell biology research integrates issues from Nod factor and Gene expression, Gene, Root hair. His Nod factor research is multidisciplinary, incorporating perspectives in Bioassay and Microbiology. His work carried out in the field of Symbiosis brings together such families of science as Genome, Strain, Medicago sativa, Molecular genetics and Transformation.

His most cited work include:

  • Agrobacterium rhizogenes-transformed roots of Medicago truncatula for the study of nitrogen-fixing and endomycorrhizal symbiotic associations. (551 citations)
  • Arbuscular Mycorrhizal Fungi Elicit a Novel Intracellular Apparatus in Medicago truncatula Root Epidermal Cells before Infection (391 citations)
  • Medicago truncatula, a model plant for studying the molecular genetics of the Rhizobium-legume symbiosis. (340 citations)

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

The scientist’s investigation covers issues in Medicago truncatula, Botany, Cell biology, Root hair and Rhizobium. His biological study spans a wide range of topics, including Gene expression, Gene, Rhizobia, Nod factor and Sinorhizobium meliloti. David G. Barker combines subjects such as Symbiosis, Rhizobiaceae, Mutant and Agrobacterium with his study of Botany.

His Cell biology research incorporates elements of Periarbuscular membrane, Hypha and Apoplast. His research investigates the connection between Root hair and topics such as Frankia that intersect with problems in Host. The study incorporates disciplines such as Medicago sativa, Medicago and Root nodule in addition to Rhizobium.

He most often published in these fields:

  • Medicago truncatula (63.49%)
  • Botany (60.32%)
  • Cell biology (41.27%)

What were the highlights of his more recent work (between 2014-2019)?

  • Botany (60.32%)
  • Root hair (33.33%)
  • Actinorhizal plant (12.70%)

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

His primary areas of study are Botany, Root hair, Actinorhizal plant, Symbiosis and Cell biology. His Botany study combines topics in areas such as Medicago truncatula and Mutant. David G. Barker has researched Medicago truncatula in several fields, including Phenotype, Sinorhizobium meliloti, Ca2 signaling and Transcription factor.

His research in Mutant intersects with topics in Rhizobia, Kinase and Root nodule. His Rhizobia research is multidisciplinary, relying on both Cell wall and Rhizobium. In his work, Host, Microbiology and Gene is strongly intertwined with Frankia, which is a subfield of Actinorhizal plant.

Between 2014 and 2019, his most popular works were:

  • Ancestral alliances: Plant mutualistic symbioses with fungi and bacteria (146 citations)
  • Remodeling of the Infection Chamber before Infection Thread Formation Reveals a Two-Step Mechanism for Rhizobial Entry into the Host Legume Root Hair (80 citations)
  • A role for the mevalonate pathway in early plant symbiotic signaling (61 citations)

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

  • Gene
  • Bacteria
  • Genome

His main research concerns Symbiosis, Rhizobia, Cell biology, Medicago truncatula and Mutant. His Symbiosis research incorporates themes from Mutualism, Ecology and Dikarya. The Rhizobia study combines topics in areas such as Cell wall, Sinorhizobium meliloti, Mycotroph and Root hair.

His work deals with themes such as HEK 293 cells, Receptor and Botany, which intersect with Cell biology. His Medicago truncatula research is multidisciplinary, incorporating elements of Gene expression and Kinase.

Best Publications

  • Agrobacterium rhizogenes-transformed roots of Medicago truncatula for the study of nitrogen-fixing and endomycorrhizal symbiotic associations.

    Aurélien Boisson-Dernier;Mireille Chabaud;Fernand Garcia;Guillaume Bécard

  • Arbuscular Mycorrhizal Fungi Elicit a Novel Intracellular Apparatus in Medicago truncatula Root Epidermal Cells before Infection

    Andrea Genre;Mireille Chabaud;Ton Timmers;Paola Bonfante

  • Ancestral alliances: Plant mutualistic symbioses with fungi and bacteria

    Francis M. Martin;Stéphane Uroz;David G. Barker

  • Medicago truncatula, a model plant for studying the molecular genetics of the Rhizobium-legume symbiosis.

    David G. Barker;Sylvie Bianchi;François Blondon;Yvette Dattée

  • Short‐chain chitin oligomers from arbuscular mycorrhizal fungi trigger nuclear Ca2+ spiking in Medicago truncatula roots and their production is enhanced by strigolactone

    Andrea Genre;Mireille Chabaud;Coline Balzergue;Coline Balzergue;Virginie Puech‐Pagès;Virginie Puech‐Pagès

  • A diffusible factor from arbuscular mycorrhizal fungi induces symbiosis-specific MtENOD11 expression in roots of Medicago truncatula.

    Sonja Kosuta;Mireille Chabaud;Géraldine Lougnon;Clare Gough

  • Prepenetration Apparatus Assembly Precedes and Predicts the Colonization Patterns of Arbuscular Mycorrhizal Fungi within the Root Cortex of Both Medicago truncatula and Daucus carota

    Andrea Genre;Mireille Chabaud;Antonella Faccio;David G. Barker

  • Medicago truncatula ENOD11: a novel RPRP-encoding early nodulin gene expressed during mycorrhization in arbuscule-containing cells.

    Etienne-Pascal Journet;Naima El-Gachtouli;Vanessa Vernoud;Françoise de Billy

  • AP2-ERF Transcription Factors Mediate Nod Factor–Dependent Mt ENOD11 Activation in Root Hairs via a Novel cis-Regulatory Motif

    Andry Andriankaja;Aurélien Boisson-Dernier;Lisa Frances;Laurent Sauviac

  • Mechanism of Infection Thread Elongation in Root Hairs of Medicago truncatula and Dynamic Interplay with Associated Rhizobial Colonization

    Joëlle Fournier;Antonius C.J. Timmers;Björn J. Sieberer;Alain Jauneau

  • Rhizobium meliloti elicits transient expression of the early nodulin gene ENOD12 in the differentiating root epidermis of transgenic alfalfa.

    M Pichon;E P Journet;A Dedieu;F de Billy

  • Arbuscular mycorrhizal hyphopodia and germinated spore exudates trigger Ca2+ spiking in the legume and nonlegume root epidermis

    Mireille Chabaud;Andrea Genre;Björn J. Sieberer;Antonella Faccio

  • Rhizobium Nod Factor Signaling: Evidence for a G Protein–Mediated Transduction Mechanism

    Jean-Luc Pingret;Etienne-Pascal Journet;David G. Barker

  • Alfalfa nodulation in the absence of Rhizobium

    Georges Truchet;David G. Barker;Sylvie Camut;Françoise de Billy

  • Rhizobium meliloti Nod factors elicit cell‐specific transcription of the ENOD12 gene in transgenic alfalfa

    E.P. Journet;M. Pichon;A. Dedieu;F. de Billy

  • A nuclear-targeted cameleon demonstrates intranuclear Ca2+ spiking in Medicago truncatula root hairs in response to rhizobial nodulation factors.

    Björn J. Sieberer;Mireille Chabaud;Antonius C. Timmers;André Monin

  • Medicago truncatula ERN Transcription Factors: Regulatory Interplay with NSP1/NSP2 GRAS Factors and Expression Dynamics throughout Rhizobial Infection

    Marion R. Cerri;Lisa Frances;Tom Laloum;Marie-Christine Auriac

  • Pharmacological Evidence That Multiple Phospholipid Signaling Pathways Link Rhizobium Nodulation Factor Perception in Medicago truncatula Root Hairs to Intracellular Responses, Including Ca2+ Spiking and Specific ENOD Gene Expression

    Dorothée Charron;Jean-Luc Pingret;Mireille Chabaud;Etienne-Pascal Journet

  • High phosphate reduces host ability to develop arbuscular mycorrhizal symbiosis without affecting root calcium spiking responses to the fungus.

    Coline Balzergue;Coline Balzergue;Mireille Chabaud;David G. Barker;Guillaume Bécard;Guillaume Bécard

  • Remodeling of the Infection Chamber before Infection Thread Formation Reveals a Two-Step Mechanism for Rhizobial Entry into the Host Legume Root Hair

    Joëlle Fournier;Alice Teillet;Mireille Chabaud;Sergey Ivanov

  • A role for the mevalonate pathway in early plant symbiotic signaling

    Muthusubramanian Venkateshwaran;Dhileepkumar Jayaraman;Mireille Chabaud;Andrea Genre

  • A switch in Ca2+ spiking signature is concomitant with endosymbiotic microbe entry into cortical root cells of Medicago truncatula

    Björn J. Sieberer;Mireille Chabaud;Joëlle Fournier;Antonius C.J. Timmers

  • The rice LysM receptor-like kinase OsCERK1 is required for the perception of short-chain chitin oligomers in arbuscular mycorrhizal signaling

    Gennaro Carotenuto;Mireille Chabaud;Kana Miyata;Martina Capozzi

Frequent Co-Authors

Andrea Genre
Andrea Genre University of Turin
Guillaume Bécard
Guillaume Bécard Paul Sabatier University
Jean Dénarié
Jean Dénarié INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Paola Bonfante
Paola Bonfante University of Turin
Valérie Hocher
Valérie Hocher Institut de Recherche pour le Développement
Pascal Gamas
Pascal Gamas Centre national de la recherche scientifique, CNRS
Gérard Duc
Gérard Duc INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Mara Novero
Mara Novero University of Turin
Didier Bogusz
Didier Bogusz Institut de Recherche pour le Développement
Jérôme Gouzy
Jérôme Gouzy Federal University of Toulouse Midi-Pyrénées

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2027 Which Schools Offer Flexible Start-Anytime Enrollment for a Clinical Psychology Program?