World's Best Scientists 2026 revealed!
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Toni Gabaldón
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Genetics
Spain
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 97 829 780 10 10 328 47629

Toni Gabaldón publications per year

The chart shows the history of publications by Toni Gabaldón between 2003 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Toni Gabaldón published across 24 years, from 2003 to 2026, averaging 20.3 papers a year. Output peaked at 49 publications in 2023. 34 of the 488 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2003 to 2026. Vertical axis: number of publications, 0 to 49. Peak 49 publications in 2023. 2003: 1 publication 2004: 4 publications 2005: 8 publications 2006: 3 publications 2007: 6 publications 2008: 3 publications 2009: 9 publications 2010: 19 publications 2011: 16 publications 2012: 12 publications 2013: 13 publications 2014: 27 publications 2015: 19 publications 2016: 33 publications 2017: 13 publications 2018: 27 publications 2019: 31 publications 2020: 48 publications 2021: 45 publications 2022: 32 publications 2023: 49 publications 2024: 36 publications 2025: 32 publications 2026: 2 publications
2003 2026

488 publications in total across all disciplines

View publications per year as a table
Toni Gabaldón: publications per year, 2003 to 2026
Year Publications
2003 1
2004 4
2005 8
2006 3
2007 6
2008 3
2009 9
2010 19
2011 16
2012 12
2013 13
2014 27
2015 19
2016 33
2017 13
2018 27
2019 31
2020 48
2021 45
2022 32
2023 49
2024 36
2025 32
2026 2
Total 488
Download as CSV

Toni Gabaldón 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 Toni Gabaldón 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, 325–334 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: 328 publications — 80th percentile

80% 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
265–274 88
275–284 87
285–294 80
295–304 62
305–314 75
315–324 67
325–334 60 328
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

Toni Gabaldón 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 Toni Gabaldón 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, 96–97 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: 97 D-Index — 81st percentile

81% 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
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 97
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

Research.com Recognitions

  • 2026 - Research.com Genetics in Spain Leader Award
  • 2025 - Research.com Genetics in Spain Leader Award
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)

Overview

Toni Gabaldón is affiliated with the Institució Catalana de Recerca i Estudis Avançats in Spain. Their research spans multiple disciplines primarily within biochemistry, genetics, and molecular biology, as well as medicine. The work focuses on several subfields such as molecular biology, infectious diseases, epidemiology, plant science, and cell biology.

The scientist's main research topics include:

  • Antifungal resistance and susceptibility
  • Genomics and phylogenetic studies
  • Fungal infections and studies
  • Plant pathogens and fungal diseases
  • Gut microbiota and health
  • Yeasts and rust fungi studies
  • Fungal and yeast genetics research

Among recent publications authored by or associated with Toni Gabaldón are:

  • "Coronavirus Disease 2019 (COVID-19): Emerging and Future Challenges for Dental and Oral Medicine" (2020), published in Journal of Dental Research
  • "The Human Oral Microbiome in Health and Disease: From Sequences to Ecosystems" (2020), published in Microorganisms
  • "The era of reference genomes in conservation genomics" (2022), published in Trends in Ecology & Evolution
  • "How genomics can help biodiversity conservation" (2023), published in Trends in Genetics
  • "Drug-Resistant Fungi: An Emerging Challenge Threatening Our Limited Antifungal Armamentarium" (2020), published in Antibiotics

Frequent co-authors in Toni Gabaldón's body of work include:

  • Marina Marcet-Houben
  • Ester Saus
  • Verónica Mixão
  • Ewa Księżopolska
  • Olfat Khannous-Lleiffe

Gabaldón has published extensively in several venues, with the highest number of publications appearing in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Faculty Opinions - Post-Publication Peer Review of the Biomedical Literature
  • BMC Biology
  • mBio
  • Nucleic Acids Research

The scientist has been recognized as a Member of the European Molecular Biology Organization (EMBO), indicating a formal distinction within the European molecular biology community.

Best Publications

  • trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses

    Salvador Capella-Gutiérrez;José M. Silla-Martínez;Toni Gabaldón

  • Whole-genome analyses resolve early branches in the tree of life of modern birds

    Erich D. Jarvis;Siavash Mirarab;Andre J. Aberer;Bo Li;Bo Li;Bo Li

  • Genome Sequence of the Pea Aphid Acyrthosiphon pisum

    Stephen Richards;Richard A. Gibbs;Nicole M. Gerardo;Nancy Moran

  • The genome of melon (Cucumis melo L.)

    Jordi Garcia-Mas;Andrej Benjak;Walter Sanseverino;Michael Bourgeois

  • The genome of the recently domesticated crop plant sugar beet ( Beta vulgaris )

    Juliane C. Dohm;André E. Minoche;Daniela Holtgräwe;Salvador Capella-Gutiérrez

  • eggNOG v4.0: nested orthology inference across 3686 organisms

    Sean Powell;Kristoffer Forslund;Damian Szklarczyk;Kalliopi Trachana

  • Rapid transcriptional plasticity of duplicated gene clusters enables a clonally reproducing aphid to colonise diverse plant species

    Thomas C. Mathers;Yazhou Chen;Gemy Kaithakottil;Fabrice Legeai;Fabrice Legeai

  • Functional and evolutionary implications of gene orthology

    Toni Gabaldón;Eugene V. Koonin

  • Synonymous Mutations Frequently Act as Driver Mutations in Human Cancers

    Fran Supek;Fran Supek;Belén Miñana;Juan Valcárcel;Juan Valcárcel;Toni Gabaldón;Toni Gabaldón

  • Immunity and other defenses in pea aphids, Acyrthosiphon pisum

    Nicole M Gerardo;Boran Altincicek;Caroline Anselme;Caroline Anselme;Hagop Atamian

  • Redundans: an assembly pipeline for highly heterozygous genomes

    Leszek P. Pryszcz;Toni Gabaldón

  • The i5K initiative: Advancing arthropod genomics for knowledge, human health, agriculture, and the environment

    Jay D Evans;Susan J Brown;Kevin J Hackett;Gene Robinson

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

  • ETE: a python Environment for Tree Exploration.

    Jaime Huerta-Cepas;Joaquín Dopazo;Toni Gabaldón

  • Genome structure and metabolic features in the red seaweed Chondrus crispus shed light on evolution of the Archaeplastida.

    Jonas Collén;Betina Porcel;Betina Porcel;Wilfrid Carré;Steven G Ball

  • Three crocodilian genomes reveal ancestral patterns of evolution among archosaurs

    Richard E. Green;Edward L. Braun;Joel Armstrong;Dent Earl

  • The Human Oral Microbiome in Health and Disease: From Sequences to Ecosystems.

    Jesse R. Willis;Toni Gabaldón

  • Beyond the Whole-Genome Duplication: Phylogenetic Evidence for an Ancient Interspecies Hybridization in the Baker's Yeast Lineage.

    Marina Marcet-Houben;Toni Gabaldón

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T Clark;Asma R Bankapur

  • Additional file 1 of An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

Frequent Co-Authors

Marina Marcet-Houben
Marina Marcet-Houben Barcelona Supercomputing Center
Jaime Huerta-Cepas
Jaime Huerta-Cepas Technical University of Madrid
Christophe Dessimoz
Christophe Dessimoz University College London
Roderic Guigó
Roderic Guigó Pompeu Fabra University
Martijn A. Huynen
Martijn A. Huynen Radboud University Medical Center
Fabrice Legeai
Fabrice Legeai University of Rennes
Patrick Wincker
Patrick Wincker University of Paris-Saclay
Andrés Moya
Andrés Moya University of Valencia
Amparo Latorre
Amparo Latorre University of Valencia
Heinz Himmelbauer
Heinz Himmelbauer BOKU University

External Links

Personal website of Toni Gabaldón

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Best Scientists Citing Toni Gabaldón

Antonis Rokas

Antonis Rokas

Vanderbilt University

Publications: 73

Erich D. Jarvis

Erich D. Jarvis

Rockefeller University

Publications: 72

Zhangjun Fei

Zhangjun Fei

Cornell University

Publications: 71

Igor V. Grigoriev

Igor V. Grigoriev

Lawrence Berkeley National Laboratory

Publications: 70

Bernard Henrissat

Bernard Henrissat

Technical University of Denmark

Publications: 69

M. Thomas P. Gilbert

M. Thomas P. Gilbert

University of Copenhagen

Publications: 68

Edward C. Holmes

Edward C. Holmes

University of Sydney

Publications: 64

Guojie Zhang

Guojie Zhang

Zhejiang University

Publications: 62

Christophe Dessimoz

Christophe Dessimoz

University College London

Publications: 61

Robert M. Waterhouse

Robert M. Waterhouse

Swiss Institute of Bioinformatics

Publications: 61

Patrick J. Keeling

Patrick J. Keeling

University of British Columbia

Publications: 57

Julius Lukeš

Julius Lukeš

Czech Academy of Sciences

Publications: 55

Iñaki Ruiz-Trillo

Iñaki Ruiz-Trillo

Pompeu Fabra University

Publications: 55

Evgeny M. Zdobnov

Evgeny M. Zdobnov

Swiss Institute of Bioinformatics

Publications: 50

Jason E. Stajich

Jason E. Stajich

University of California, Riverside

Publications: 50

Chris Todd Hittinger

Chris Todd Hittinger

University of Wisconsin–Madison

Publications: 49

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