World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
59
Citations
37310
World Ranking
2272
National Ranking
152

Juan Antonio Vizcaíno publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Juan Antonio Vizcaíno sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 173 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Juan Antonio Vizcaíno D-index placement in Engineering and Technology in 2026

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

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 59 D-Index — 77th percentile

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

The last bar groups every scientist with 107 D-Index or more.

Overview

Juan Antonio Vizcaíno is affiliated with the European Bioinformatics Institute in the United Kingdom. Their research spans multiple aspects of biochemistry, genetics, and molecular biology, with a significant focus on advanced proteomics and mass spectrometry techniques.

The scientist's main fields of study include biochemistry, genetics, and molecular biology, as well as chemistry. Subfields of their research cover molecular biology, spectroscopy, information systems and management, information systems, and ecology.

The main topics addressed in their work include:

  • Advanced Proteomics Techniques and Applications
  • Metabolomics and Mass Spectrometry Studies
  • Genomics and Phylogenetic Studies
  • Mass Spectrometry Techniques and Applications
  • Scientific Computing and Data Management
  • Genetics, Bioinformatics, and Biomedical Research
  • Biomedical Text Mining and Ontologies

Frequent collaborators in their publications include:

  • Yasset Pérez-Riverol
  • Eric W. Deutsch
  • Ananth Prakash
  • Andrew R. Jones
  • Deepti J Kundu

They have contributed to numerous publications in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Proteome Research
  • Nucleic Acids Research
  • PROTEOMICS
  • Nature Communications

Notable publications include:

  • The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences (2021, Nucleic Acids Research)
  • The PRIDE database at 20 years: 2025 update (2024, Nucleic Acids Research)
  • The ProteomeXchange consortium at 10 years: 2023 update (2022, Nucleic Acids Research)
  • A high-stringency blueprint of the human proteome (2020, Nature Communications)
  • Expression Atlas update: gene and protein expression in multiple species (2021, Nucleic Acids Research)

Best Publications

  • The PRIDE database and related tools and resources in 2019: improving support for quantification data.

    Yasset Perez-Riverol;Attila Csordas;Jingwen Bai;Manuel Bernal-Llinares

  • The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences.

    Yasset Perez-Riverol;Jingwen Bai;Chakradhar Bandla;David García-Seisdedos

  • 2016 update of the PRIDE database and its related tools

    Juan Antonio Vizcaíno;Attila Csordas;Noemi Del-Toro;José A. Dianes

  • ProteomeXchange provides globally coordinated proteomics data submission and dissemination

    Juan A. Vizcaíno;Eric W Deutsch;Rui Wang;Attila Csordas

  • The PRoteomics IDEntifications (PRIDE) database and associated tools: status in 2013.

    Juan Antonio Vizcaíno;Richard G. Côté;Attila Csordas;José A. Dianes

  • The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition

    Eric W. Deutsch;Attila Csordas;Zhi Sun;Andrew Jarnuczak

  • Shorthand notation for lipid structures derived from mass spectrometry

    Gerhard Liebisch;Juan Antonio Vizcaíno;Harald Köfeler;Martin Trötzmüller

  • The ProteomeXchange consortium in 2020: enabling 'big data' approaches in proteomics.

    Eric W. Deutsch;Nuno Bandeira;Nuno Bandeira;Vagisha Sharma;Yasset Pérez-Riverol

  • The functional landscape of the human phosphoproteome

    David Ochoa;Andrew F. Jarnuczak;Cristina Viéitez;Maja Gehre

  • Expression Atlas: gene and protein expression across multiple studies and organisms.

    Irene Papatheodorou;Nuno A. Fonseca;Maria Keays;Y. Amy Tang

  • A HUPO test sample study reveals common problems in mass spectrometry–based proteomics

    Alexander W. Bell;Eric W. Deutsch;Catherine E. Au;Robert E. Kearney

  • Making sense of big data in health research: Towards an EU action plan

    Charles Auffray;Charles Auffray;Rudi Balling;Inês Barroso;László Bencze

  • A guide to the Proteomics Identifications Database proteomics data repository.

    Juan Antonio Vizcaíno;Richard J Cote;Florian Reisinger;Joseph M. Foster

  • The Proteomics Identifications database: 2010 update

    Juan Antonio Vizcaíno;Richard G. Côté;Florian Reisinger;Harald Barsnes

  • The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results

    Andrew R. Jones;Martin Eisenacher;Gerhard Mayer;Oliver Kohlbacher

  • Expression Atlas update: gene and protein expression in multiple species.

    Pablo Moreno;Silvie Fexova;Nancy George;Jonathan R Manning

  • Recognizing millions of consistently unidentified spectra across hundreds of shotgun proteomics datasets

    Johannes Griss;Yasset Perez-Riverol;Steve Lewis;David L Tabb

  • PRIDE Inspector Toolsuite: Moving Toward a Universal Visualization Tool for Proteomics Data Standard Formats and Quality Assessment of ProteomeXchange Datasets

    Yasset Perez-Riverol;Qing Wei Xu;Rui Wang;Julian Uszkoreit

  • Making proteomics data accessible and reusable: Current state of proteomics databases and repositories

    Yasset Perez-Riverol;Emanuele Alpi;Rui Wang;Henning Hermjakob

  • PRIDE Converter: making proteomics data-sharing easy.

    Harald Barsnes;Juan Antonio Vizcaíno;Ingvar Eidhammer;Lennart Martens

  • Discovering and linking public omics data sets using the Omics Discovery Index

    Yasset Perez-Riverol;Mingze Bai;Mingze Bai;Mingze Bai;Felipe Da Veiga Leprevost;Silvano Squizzato

  • Ten Simple Rules for Taking Advantage of Git and GitHub.

    Yasset Perez-Riverol;Laurent Gatto;Rui Wang;Timo Sachsenberg

  • The SysteMHC Atlas project.

    Wenguang Shao;Patrick G.A. Pedrioli;Witold Wolski;Cristian Scurtescu

  • PRIDE Inspector: a tool to visualize and validate MS proteomics data

    Rui Wang;Antonio Fabregat;Daniel Ríos;David Ovelleiro

  • A Golden Age for Working with Public Proteomics Data

    Lennart Martens;Juan Antonio Vizcaíno

  • The PRoteomics IDEntification (PRIDE) Converter 2 Framework: An Improved Suite of Tools to Facilitate Data Submission to the PRIDE Database and the ProteomeXchange Consortium

    Richard G. Côté;Johannes Griss;José A. Dianes;Rui Wang

  • Genetic diversity shown in Trichoderma biocontrol isolates.

    M. Rosa Hermosa;Emma Keck;Isabel Chamorro;Belén Rubio

  • The HUPO proteomics standards initiative- mass spectrometry controlled vocabulary

    Gerhard Mayer;Luisa Montecchi-Palazzi;David Ovelleiro;Andrew R. Jones

  • Delicate Metabolic Control and Coordinated Stress Response Critically Determine Antifungal Tolerance of Candida albicans Biofilm Persisters

    Peng Li;Chaminda J. Seneviratne;Emanuele Alpi;Juan A. Vizcaino

Frequent Co-Authors

Henning Hermjakob
Henning Hermjakob European Bioinformatics Institute
Yasset Perez-Riverol
Yasset Perez-Riverol European Bioinformatics Institute
Eric W. Deutsch
Eric W. Deutsch University of Washington
Lennart Martens
Lennart Martens Ghent University
Andrew R. Jones
Andrew R. Jones University of Liverpool
Nuno Bandeira
Nuno Bandeira University of California, San Diego
Enrique Monte
Enrique Monte University of Salamanca
Santiago Gutiérrez
Santiago Gutiérrez University of Leon
Oliver Kohlbacher
Oliver Kohlbacher University of Tübingen
Sandra Orchard
Sandra Orchard European Bioinformatics Institute

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