World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
92
Citations
37244
World Ranking
994
National Ranking
13

Joaquín Dopazo 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 Joaquín Dopazo sits on this spectrum.

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 publications 703+

This scientist: 441 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Joaquín Dopazo 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 Joaquín Dopazo sits on this spectrum.

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 D-Index 160+

This scientist: 92 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Joaquín Dopazo is affiliated with the Institute of Biomedicine of Seville in Spain. Their research spans a range of topics within medicine and biochemistry, genetics, and molecular biology, with notable focus on molecular biology and infectious diseases.

This scientist's work includes publications in key fields such as SARS-CoV-2 and COVID-19 research, bioinformatics and genomic networks, cell image analysis techniques, computational drug discovery methods, COVID-19 clinical research studies, genetic associations and epidemiology, and genomics and rare diseases.

Recent published papers include:

  • Transparency and reproducibility in artificial intelligence (2020, Nature)
  • Reporting guidelines for human microbiome research: the STORMS checklist (2021, Nature Medicine)
  • DOME: recommendations for supervised machine learning validation in biology (2021, Archivio Istituzionale della Ricerca, Universita Degli Studi Di Milano)
  • Nivolumab and sunitinib combination in advanced soft tissue sarcomas: a multicenter, single-arm, phase Ib/II trial (2020, Journal for ImmunoTherapy of Cancer)
  • COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms (2020, Scientific Data)

Frequent co-authors in Joaquín Dopazo's publications include:

  • Carlos Loucera (57 joint publications)
  • María Peña-Chilet (53 joint publications)
  • Javier Pérez-Florido (32 joint publications)
  • Rosario Carmona (30 joint publications)
  • Carlos S. Casimiro-Soriguer (29 joint publications)

Publication venues where Joaquín Dopazo has contributed frequently include:

  • bioRxiv (Cold Spring Harbor Laboratory) with 19 publications
  • Zenodo (CERN European Organization for Nuclear Research) with 13 publications
  • Scientific Reports with 6 publications
  • International Journal of Molecular Sciences with 4 publications
  • Faculty of 1000 Research Ltd with 4 publications

Their primary scientific disciplines are Medicine and Biochemistry, Genetics and Molecular Biology, with a particular emphasis on subfields such as Molecular Biology, Infectious Diseases, Genetics, Epidemiology, and Cancer Research.

Best Publications

  • High-throughput functional annotation and data mining with the Blast2GO suite.

    Stefan Götz;Juan Miguel García-Gómez;Javier Terol;Tim D. Williams

  • Differential expression in RNA-seq: A matter of depth

    Sonia Tarazona;Fernando García-Alcalde;Joaquín Dopazo;Alberto Ferrer

  • FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes

    Fátima Al-Shahrour;Ramón Díaz-Uriarte;Joaquín Dopazo

  • Qualimap: evaluating next generation sequencing alignment data

    Fernando García-Alcalde;Konstantin Okonechnikov;José Carbonell;Luis M. Cruz

  • The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

    Leming Shi;Gregory Campbell;Wendell D. Jones;Fabien Campagne

  • A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium

    Zhenqiang Su;Paweł P. Łabaj;Sheng Li;Jean Thierry-Mieg

  • Genomics of the origin and evolution of Citrus

    Guohong Albert Wu;Javier Terol;Victoria Ibanez;Antonio López-García

  • A hierarchical unsupervised growing neural network for clustering gene expression patterns

    Javier Herrero;Alfonso Valencia;Joaqu ´ õn Dopazo

  • Changes in the pattern of DNA methylation associate with twin discordance in systemic lupus erythematosus

    Biola M. Javierre;Agustin F. Fernandez;Julia Richter;Fatima Al-Shahrour

  • ETE: a python Environment for Tree Exploration.

    Jaime Huerta-Cepas;Joaquín Dopazo;Toni Gabaldón

  • Initial genomics of the human nucleolus.

    Attila Németh;Ana Conesa;Javier Santoyo-Lopez;Ignacio Medina

  • Differential Lipid Partitioning Between Adipocytes and Tissue Macrophages Modulates Macrophage Lipotoxicity and M2/M1 Polarization in Obese Mice

    Xavier Prieur;Crystal Y.L. Mok;Vidya R. Velagapudi;Vanessa Núñez

  • Babelomics: an integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling

    Ignacio Medina;José Carbonell;Luis Pulido;Sara C. Madeira

  • BABELOMICS: a systems biology perspective in the functional annotation of genome-scale experiments

    Fátima Al-Shahrour;Pablo Minguez;Joaquín Tárraga;David Montaner

  • FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments

    Fátima Al-Shahrour;Pablo Minguez;Joaquín Tárraga;Ignacio Medina

  • BABELOMICS: a suite of web tools for functional annotation and analysis of groups of genes in high-throughput experiments

    Fátima Al-Shahrour;Pablo Minguez;Juan M. Vaquerizas;Lucía Conde

  • A Phylogenetic Analysis of 34 Chloroplast Genomes Elucidates the Relationships between Wild and Domestic Species within the Genus Citrus

    Jose Carbonell-Caballero;Roberto Alonso;Victoria Ibañez;Javier Terol

  • PupasView: a visual tool for selecting suitable SNPs, with putative pathological effect in genes, for genotyping purposes

    Lucía Conde;Juan M. Vaquerizas;Carles Ferrer-Costa;Xavier de la Cruz

  • SNPeffect 4.0: on-line prediction of molecular and structural effects of protein-coding variants

    Greet De Baets;Joost J. J. van Durme;Joke Reumers;Sebastian Maurer-Stroh

  • Phylogenetic Reconstruction Using an Unsupervised Growing Neural Network That Adopts the Topology of a Phylogenetic Tree

    Joaquín Dopazo;José María Carazo

Frequent Co-Authors

Fatima Al-Shahrour
Fatima Al-Shahrour Spanish National Cancer Research Centre
Ana Conesa
Ana Conesa University of Florida
Juan M. Vaquerizas
Juan M. Vaquerizas Max Planck Society
Javier Herrero
Javier Herrero University College London
Jaime Huerta-Cepas
Jaime Huerta-Cepas Technical University of Madrid
Antonio Vidal-Puig
Antonio Vidal-Puig University of Cambridge
Francisco Sobrino
Francisco Sobrino Spanish National Research Council
Andrés Moya
Andrés Moya University of Valencia
Manel Esteller
Manel Esteller Josep Carreras Leukaemia Research Institute
Toni Gabaldón
Toni Gabaldón Institució Catalana de Recerca i Estudis Avançats

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