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Biology and Biochemistry
UK
2026
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Computer Science
UK
2025

D-Index & Metrics

Molecular Biology

D-Index
101
Citations
106546
World Ranking
500
National Ranking
38

Biology and Biochemistry

D-Index
106
Citations
109316
World Ranking
1124
National Ranking
62

Computer Science

D-Index
100
Citations
99745
World Ranking
357
National Ranking
25

Rolf Apweiler 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 Rolf Apweiler 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: 294 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Rolf Apweiler 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 Rolf Apweiler 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: 100 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Biology and Biochemistry in United Kingdom Leader Award
  • 2025 - Research.com Biology and Biochemistry in United Kingdom Leader Award
  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2015 - Fellow of the International Society for Computational Biology
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)
  • 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

Rolf Apweiler is affiliated with the European Bioinformatics Institute in the United Kingdom. Their research spans multiple areas within biochemistry, genetics, molecular biology, and medicine. They have contributed extensively to the fields of molecular biology, public health, environmental and occupational health, epidemiology, information systems and management, as well as artificial intelligence.

Their recent published papers cover a range of topics related to data sharing, bioinformatics infrastructure, and health crisis responses. Notable works include:

  • Data Sharing Under the General Data Protection Regulation, 2021, published in Hypertension
  • The European Bioinformatics Institute (EMBL-EBI) in 2021, 2021, published in Nucleic Acids Research
  • The COVID-19 Data Portal: accelerating SARS-CoV-2 and COVID-19 research through rapid open access data sharing, 2021, published in Nucleic Acids Research
  • The European Bioinformatics Institute: empowering cooperation in response to a global health crisis, 2020, published in Nucleic Acids Research
  • Data Mining, Quality and Management in the Life Sciences, 2022, published in Methods in molecular biology

Key research topics addressed in these papers include genetics, bioinformatics, biomedical research, data-driven disease surveillance, ethics in clinical research, privacy-preserving technologies in data, artificial intelligence applications in healthcare and education, genomics, phylogenetic studies, and cell image analysis techniques.

The scientist has collaborated frequently with several co-authors, including Ewan Birney, Guy Cochrane, Gaia Cantelli, Cath Brooksbank, and Paul Flicek. These collaborations reflect a network of ongoing research partnerships primarily focused on bioinformatics and molecular biology.

Rolf Apweiler has published multiple articles in prominent journals with a notable presence in Nucleic Acids Research. Other publication venues include Frontiers for Young Minds, Hypertension, Methods in molecular biology, and Zenodo (CERN European Organization for Nuclear Research).

Their scholarly work is recognized within the scientific community, as indicated by honors such as being named a Fellow of the International Society for Computational Biology in 2015 and membership in the European Molecular Biology Organization (EMBO).

Best Publications

  • UniProt: A hub for protein information

    Alex Bateman;Maria Jesus Martin;Claire O'Donovan;Michele Magrane

  • UniProt: the Universal Protein knowledgebase

    Rolf Apweiler;Amos Bairoch;Cathy H. Wu;Winona C. Barker

  • The Gene Ontology (GO) database and informatics resource.

    Harris Ma;Clark J;Ireland A;Lomax J

  • The SWISS-PROT protein knowledgebase and its supplement TrEMBL in 2003

    Brigitte Boeckmann;Amos Bairoch;Rolf Apweiler;Marie-Claude Blatter

  • The Universal Protein Resource (UniProt)

    Amos Bairoch;Rolf Apweiler;Cathy H. Wu;Winona C. Barker

  • The Transcriptional Landscape of the Mammalian Genome

    P. Carninci;T. Kasukawa;S. Katayama;J. Gough

  • The SWISS-PROT protein sequence data bank and its supplement TrEMBL in 1999.

    Amos Marc Bairoch;Rolf Apweiler

  • The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000

    Unknown

  • InterProScan--an integration platform for the signature-recognition methods in InterPro.

    Evgeni M. Zdobnov;Rolf Apweiler

  • InterProScan: protein domains identifier.

    Emmanuel Quevillon;Ville Silventoinen;Sharmila Pillai;Nicola Harte

  • ProteomeXchange provides globally coordinated proteomics data submission and dissemination

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

  • Activities at the Universal Protein Resource (UniProt)

    R Apweiler;A Bateman;MJ Martin;C O'Donovan

  • On the frequency of protein glycosylation, as deduced from analysis of the SWISS-PROT database.

    Rolf Apweiler;Henning Hermjakob;Nathan Sharon

  • InterPro: the integrative protein signature database

    Sarah Hunter;Rolf Apweiler;Teresa K. Attwood;Amos Bairoch

  • Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads

    Kai Ye;Marcel H. Schulz;Quan Long;Rolf Apweiler

  • Comparative Genomics of the Eukaryotes

    Gerald M. Rubin;Mark D. Yandell;Jennifer R. Wortman;George L. Gabor

  • The InterPro Database, 2003 brings increased coverage and new features

    Nicola J Mulder;Rolf Apweiler;Teresa K Attwood;Amos Marc Bairoch

  • Evaluation of methods for the prediction of membrane spanning regions

    Steffen Möller;Michael D. R. Croning;Rolf Apweiler

  • The Universal Protein Resource (UniProt): an expanding universe of protein information

    Cathy H. Wu;Rolf Apweiler;Amos Bairoch;Darren A. Natale

  • The InterPro database, an integrated documentation resource for protein families, domains and functional sites

    Rolf Apweiler;Terri K. Attwood;Amos Bairoch;Alex Bateman

  • The SWISS-PROT protein sequence data bank and its supplement TrEMBL

    Amos Marc Bairoch;Rolf Apweiler

Frequent Co-Authors

Henning Hermjakob
Henning Hermjakob European Bioinformatics Institute
Sandra Orchard
Sandra Orchard European Bioinformatics Institute
Claire O'Donovan
Claire O'Donovan European Bioinformatics Institute
Amos Marc Bairoch
Amos Marc Bairoch Swiss Institute of Bioinformatics
Nicola Mulder
Nicola Mulder University of Cape Town
Rodrigo Lopez
Rodrigo Lopez European Bioinformatics Institute
Paul Kersey
Paul Kersey European Bioinformatics Institute
Maria Jesus Martin
Maria Jesus Martin European Bioinformatics Institute
Chris F. Taylor
Chris F. Taylor European Bioinformatics Institute
Helmut E. Meyer
Helmut E. Meyer Ruhr University Bochum

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