World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
10150
World Ranking
11438
National Ranking
721

Chris F. Taylor publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Chris F. Taylor sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 67 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Chris F. Taylor D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Chris F. Taylor sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Chris F. Taylor is affiliated with the European Bioinformatics Institute in the United Kingdom. Their research primarily focuses on the broad field of Biochemistry, Genetics, and Molecular Biology, with contributions spanning multiple subfields including Molecular Biology, Nature and Landscape Conservation, Global and Planetary Change, Water Science and Technology, and Cell Biology.

The scientist's work covers several main topics such as Molecular Biology Techniques and Applications, RNA modifications and cancer, Fish Ecology and Management Studies, Marine and fisheries research, Water Quality Monitoring Technologies, Mitochondrial Function and Pathology, and Hemoglobin structure and function.

Chris F. Taylor has contributed to various research papers across different publication venues. Recent papers include:

  • Assessment of attraction and avoidance behaviors of fish in response to the proximity of transiting underwater vehicles, 2021, Fishery Bulletin
  • Partial catalytic Cys oxidation of human GAPDH to Cys-sulfonic acid., 2020, Wellcome Open Research
  • Mitochondrial Haemoglobin Is Upregulated with Hypoxia in Skeletal Muscle and Has a Conserved Interaction with ATP Synthase and Inhibitory Factor 1, 2023, Cells
  • Partial catalytic Cys oxidation of human GAPDH, 2020, Wellcome Open Research
  • Fascism at Future's End, 2021, boundary 2

Frequent co-authors collaborating with Taylor include:

  • Adam Dowle
  • Andrea Lia
  • Angelo Santino
  • Pietro Roversi
  • Matthew D. Campbell

The scientist has published repeatedly in specific venues, with multiple works appearing in Wellcome Open Research. Other frequent publication venues include Fishery Bulletin, Cells, boundary 2, and American Literature.

Best Publications

  • The minimum information about a genome sequence (MIGS) specification.

    Dawn Field;George Garrity;Tanya Gray;Norman Morrison

  • A common open representation of mass spectrometry data and its application to proteomics research

    Patrick G A Pedrioli;Jimmy K Eng;Robert Hubley;Mathijs Vogelzang

  • The minimum information about a proteomics experiment (MIAPE)

    Chris F. Taylor;Chris F. Taylor;Norman W. Paton;Norman W. Paton;Kathryn S. Lilley;Kathryn S. Lilley;Pierre Alain Binz;Pierre Alain Binz

  • PRIDE: The proteomics identifications database

    Lennart Martens;Henning Hermjakob;Philip Jones;Marcin Adamski

  • Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project

    Chris F. Taylor;Chris F. Taylor;Dawn Field;Susanna Assunta Sansone;Susanna Assunta Sansone;Jan Aerts

  • The metabolomics standards initiative (MSI)

    Oliver Fiehn;Don Robertson;Jules Griffin;Mariet vab der Werf

  • Toward interoperable bioscience data

    Susanna-Assunta Sansone;Philippe Rocca-Serra;Dawn Field;Eamonn Maguire

  • The Metabolomics Standards Initiative

    Susanna Assunta Sansone;Teresa Fan;Royston Goodacre;Julian L. Griffin

  • The Ontology for Biomedical Investigations

    Anita Bandrowski;Ryan Brinkman;Mathias Brochhausen;Matthew H. Brush

  • ISA software suite

    Philippe Rocca-Serra;Marco Brandizi;Eamonn Maguire;Eamonn Maguire;Nataliya Sklyar

  • PRIDE: a public repository of protein and peptide identifications for the proteomics community

    Philip Jones;Richard G. Côté;Lennart Martens;Antony F. Quinn

  • A systematic approach to modeling, capturing, and disseminating proteomics experimental data.

    Chris F. Taylor;Norman W. Paton;Kevin L. Garwood;Paul D. Kirby

  • The MGED Ontology: a resource for semantics-based description of microarray experiments

    Patricia L. Whetzel;Helen Parkinson;Helen C. Causton;Liju Fan

  • Omics Data Sharing

    Dawn Field;Susanna-Assunta Sansone;Susanna-Assunta Sansone;Amanda Collis;Tim Booth

  • RDML: structured language and reporting guidelines for real-time quantitative PCR data

    Steve Lefever;Jan Hellemans;Filip Pattyn;Daniel R. Przybylski

  • The Functional Genomics Experiment model (FuGE): an extensible framework for standards in functional genomics.

    Andrew R. Jones;Michael Miller;Ruedi Aebersold;Rolf Apweiler

  • Establishing reporting standards for metabolomic and metabonomic studies: A call for participation

    Oliver Fiehn;Bruce Kristal;Ben van Ommen;Lloyd W. Sumner

  • The First RSBI (ISA-TAB) Workshop: 'Can a Simple Format Work for Complex Studies?'

    Susanna-Assunta Sansone;Philippe Rocca-Serra;Marco Brandizi;Alvis Brazma

  • Guidelines for reporting the use of mass spectrometry in proteomics

    Chris F Taylor;Pierre-Alain Binz;Ruedi Aebersold;Michel Affolter

  • The use of concept maps during knowledge elicitation in ontology development processes – the nutrigenomics use case

    Alexander García Castro;Philippe Rocca-Serra;Robert Stevens;Chris F. Taylor

Frequent Co-Authors

Henning Hermjakob
Henning Hermjakob European Bioinformatics Institute
Susanna-Assunta Sansone
Susanna-Assunta Sansone University of Oxford
Rolf Apweiler
Rolf Apweiler European Bioinformatics Institute
Philippe Rocca-Serra
Philippe Rocca-Serra University of Oxford
Sandra Orchard
Sandra Orchard European Bioinformatics Institute
Dawn Field
Dawn Field University of Oxford
Norman W. Paton
Norman W. Paton University of Manchester
Eric W. Deutsch
Eric W. Deutsch University of Washington
Christian J. Stoeckert
Christian J. Stoeckert University of Pennsylvania

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