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 63 2919 2767 141 132 122 11340

Alain Charcosset publications per year

The chart shows the history of publications by Alain Charcosset between 1991 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Alain Charcosset published across 36 years, from 1991 to 2026, averaging 5.3 papers a year. Output peaked at 29 publications in 2026. 37 of the 190 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1991 to 2026. Vertical axis: number of publications, 0 to 29. Peak 29 publications in 2026. 1991: 1 publication 1992: 1 publication 1993: 1 publication 1994: 1 publication 1995: 3 publications 1996: 4 publications 1997: 4 publications 1998: 5 publications 1999: 3 publications 2000: 2 publications 2001: 5 publications 2002: 3 publications 2003: 2 publications 2004: 6 publications 2005: 3 publications 2006: 5 publications 2007: 4 publications 2008: 3 publications 2009: 4 publications 2010: 5 publications 2011: 6 publications 2012: 6 publications 2013: 7 publications 2014: 7 publications 2015: 1 publication 2016: 3 publications 2017: 9 publications 2018: 4 publications 2019: 10 publications 2020: 11 publications 2021: 1 publication 2022: 8 publications 2023: 10 publications 2024: 5 publications 2025: 8 publications 2026: 29 publications
1991 2026

190 publications in total across all disciplines

View publications per year as a table
Alain Charcosset: publications per year, 1991 to 2026
Year Publications
1991 1
1992 1
1993 1
1994 1
1995 3
1996 4
1997 4
1998 5
1999 3
2000 2
2001 5
2002 3
2003 2
2004 6
2005 3
2006 5
2007 4
2008 3
2009 4
2010 5
2011 6
2012 6
2013 7
2014 7
2015 1
2016 3
2017 9
2018 4
2019 10
2020 11
2021 1
2022 8
2023 10
2024 5
2025 8
2026 29
Total 190
Download as CSV

Alain Charcosset 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 Alain Charcosset 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, 115–124 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: 122 publications — 17th percentile

17% 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
115–124 203 122
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
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
Download as CSV

Alain Charcosset 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 Alain Charcosset 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, 62–63 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: 63 D-Index — 35th percentile

35% 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 63
64–65 172
66–67 184
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
Download as CSV

Overview

Alain Charcosset is affiliated with INRAE, the Institut national de recherche pour l'agriculture, l'alimentation et l'environnement in France. Their research career spans multiple aspects of genetics and plant breeding, with a primary focus on agricultural genetics and molecular biology.

Their publication record includes recent papers such as "Optimized breeding strategies to harness genetic resources with different performance levels" (2020) published in BMC Genomics, "Improving the use of plant genetic resources to sustain breeding programs' efficiency" (2023) in Proceedings of the National Academy of Sciences, "Physiological adaptive traits are a potential allele reservoir for maize genetic progress under challenging conditions" (2022) in Nature Communications, "Genomic prediction of hybrid crops allows disentangling dominance and epistasis" (2021) in Genetics, and "Efficient ReML inference in variance component mixed models using a Min-Max algorithm" (2022) in PLoS Computational Biology.

The frequent co-authors collaborating with Alain Charcosset include Tristan Mary-Huard, Laurence Moreau, Delphine Madur, Cyril Bauland, and Stéphane Nicolas. These collaborators have contributed to many of their works across different projects and publications.

The primary publication venues for their research include Theoretical and Applied Genetics with eight publications, bioRxiv (Cold Spring Harbor Laboratory) with six, Genetics with five, and both PLoS Genetics and PLoS ONE with two publications each.

Alain Charcosset's main fields of study are Biochemistry, Genetics and Molecular Biology and Agricultural and Biological Sciences. Within these broader fields, their work focuses on several subfields including Genetics, Plant Science, Agronomy and Crop Science, Molecular Biology, and Ecology, Evolution, Behavior and Systematics.

The topics most frequently addressed in their research are Genetic Mapping and Diversity in Plants and Animals, Genetics and Plant Breeding, Genetic and phenotypic traits in livestock, Crop Yield and Soil Fertility, Wheat and Barley Genetics and Pathology, Genetic diversity and population structure, and Genetic Associations and Epidemiology.

Best Publications

  • A large maize (Zea mays L.) SNP genotyping array: development and germplasm genotyping, and genetic mapping to compare with the B73 reference genome.

    Martin W. Ganal;Gregor Durstewitz;Andreas Polley;Aurélie Bérard

  • Two Cytosolic Glutamine Synthetase Isoforms of Maize Are Specifically Involved in the Control of Grain Production

    Antoine Martin;Judy Lee;Thomas Kichey;Denise Gerentes

  • Combining Quantitative Trait Loci Analysis and an Ecophysiological Model to Analyze the Genetic Variability of the Responses of Maize Leaf Growth to Temperature and Water Deficit

    Matthieu Reymond;Bertrand Muller;Agnès Leonardi;Alain Charcosset

  • Marker-Assisted Introgression of Quantitative Trait Loci

    Alain Charcosset

  • Maximizing the Reliability of Genomic Selection by Optimizing the Calibration Set of Reference Individuals: Comparison of Methods in Two Diverse Groups of Maize Inbreds ( Zea mays L.)

    Renaud Rincent;Denis Laloë;Stephane Nicolas;T. Altmann

  • More on the efficiency of marker-assisted selection

    L. Moreau;F. Lacoudre;A. Charcosset

  • BioMercator V3

    Olivier Sosnowski;Alain Charcosset;Johann Joets

  • Maize introduction into Europe: the history reviewed in the light of molecular data

    C Rebourg;M Chastanet;B Gouesnard;C Welcker

  • Marker-assisted selection efficiency in populations of finite size.

    Laurence Moreau;Alain Charcosset;André Gallais;André Gallais

  • Intraspecific variation of recombination rate in maize

    Eva Bauer;Matthieu Falque;Hildrun Walter;Cyril Bauland

  • Usefulness of gene information in marker-assisted recurrent selection: A simulation appraisal

    Rex Bernardo;Alain Charcosset

  • Marker-assisted introgression of favorable alleles at quantitative trait loci between maize elite lines.

    Agnès Bouchez;Mathilde Causse;André Gallais

  • The Genetic Basis of Heterosis: Multiparental Quantitative Trait Loci Mapping Reveals Contrasted Levels of Apparent Overdominance Among Traits of Agronomical Interest in Maize ( Zea mays L.)

    Amandine Larièpe;Brigitte Mangin;Sylvain Jasson;Valérie Combes

  • Key Impact of Vgt1 on Flowering Time Adaptation in Maize: Evidence From Association Mapping and Ecogeographical Information

    Sébastien Ducrocq;Delphine Madur;Jean-Baptiste Veyrieras;Létizia Camus-Kulandaivelu

  • Genetic analysis and QTL mapping of cell wall digestibility and lignification in silage maize

    Valérie Méchin;Odile Argillier;Yannick Hébert;Emmanuelle Guingo

  • Relationship between heterosis and heterozygosity at marker loci: a theoretical computation

    A Charcosset;M Lefort-Buson;A Gallais

  • The effect of population structure on the relationship between heterosis and heterozygosity at marker loci

    A. Charcosset;L. Essioux

  • Usefulness of Multiparental Populations of Maize (Zea mays L.) for Genome-Based Prediction

    Christina Lehermeier;Nicole Krämer;Eva Bauer;Cyril Bauland

  • Large scale molecular analysis of traditional European maize populations. Relationships with morphological variation.

    C Rebourg;B Gouesnard;A Charcosset

  • Relationship between phenotypic and marker distances: theoretical and experimental investigations

    Judith Burstin;Alain Charcosset

Frequent Co-Authors

Albrecht E. Melchinger
Albrecht E. Melchinger University of Hohenheim
Thomas Altmann
Thomas Altmann Institute of Plant Genetics and Crop Plant Research
Chris-Carolin Schön
Chris-Carolin Schön Technical University of Munich
Dominique Brunel
Dominique Brunel INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Pedro Revilla
Pedro Revilla Spanish National Research Council
Yves Barrière
Yves Barrière INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Mathilde Causse
Mathilde Causse INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Catherine Damerval
Catherine Damerval University of Paris-Saclay
Marilyn L. Warburton
Marilyn L. Warburton United States Department of Agriculture
Boddupalli M. Prasanna
Boddupalli M. Prasanna International Maize and Wheat Improvement Center

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Genetics in the USA opens doors to a variety of online degrees and healthcare career pathways designed for flexibility and fast entry into the workforce. For nursing professionals, online rn to bsn programs no clinicals are a popular choice, allowing students to progress without on-site clinical requirements. These programs are ideal for working nurses aiming to advance academically while balancing career and personal commitments.

Aspiring nurses seeking leadership roles may consider accelerated dnp programs to fast-track their education and enter high-level nursing positions sooner. Those looking for a quick entry into healthcare can explore medical assistant training, which provides practical skills in as little as six weeks.

Finally, professionals interested in the highest level of clinical nursing should consider a dnp degree, which focuses on evidence-based practice and leadership. All of these pathways can complement a background in genetics, providing expanded opportunities in research, patient care, and healthcare management.

Best Scientists Citing Alain Charcosset

Trending Scientists

Recently Published Articles