World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
73
Citations
73244
World Ranking
5776
National Ranking
2730

Computer Science

D-Index
70
Citations
71763
World Ranking
1815
National Ranking
920

Cathy H. Wu 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 Cathy H. Wu 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: 276 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Cathy H. Wu 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 Cathy H. Wu 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: 70 D-Index — 87th percentile

87% 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

  • 2020 - ACM Fellow For contributions to bioinformatics, computational biology, knowledge mining and semantic data integration
  • 2017 - ACM Distinguished Member

Overview

Cathy H. Wu is affiliated with the University of Delaware in the United States. Their research spans multiple fields primarily focused on biochemistry, genetics, and molecular biology, with an emphasis on molecular biology and artificial intelligence as notable subfields. Their work also touches areas such as control and systems engineering, automotive engineering, and transportation.

The scientist's main research topics include bioinformatics and genomic networks, traffic control and management, biomedical text mining and ontologies, genomics and phylogenetic studies, advanced proteomics techniques and applications, vehicle emissions and performance, and transportation planning and optimization.

Key recent publications by Cathy H. Wu include:

  • InterPro in 2022, published in Nucleic Acids Research
  • The InterPro protein families and domains database: 20 years on (2020), Nucleic Acids Research
  • UniProt: the Universal Protein Knowledgebase in 2025 (2024), Nucleic Acids Research
  • InterPro: the protein sequence classification resource in 2025 (2024), Nucleic Acids Research
  • SMIL: Multimodal Learning with Severely Missing Modality (2021), Proceedings of the AAAI Conference on Artificial Intelligence

Frequent coauthors in their research include Chuming Chen, Karen Ross, Julie Cowart, Darren A. Natale, and Alex Bateman.

The scientist frequently publishes in venues such as arXiv (Cornell University), Nucleic Acids Research, bioRxiv (Cold Spring Harbor Laboratory), Bioinformatics Advances, and the Journal of Clinical & Medical Genomics.

Awards received by Cathy H. Wu include recognition as an ACM Fellow in 2020 for contributions to bioinformatics, computational biology, knowledge mining, and semantic data integration. They were also named an ACM Distinguished Member in 2017.

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

  • UniProt: the Universal Protein Knowledgebase in 2023

    Unknown

  • UniProt: the universal protein knowledgebase in 2021

    Alex Bateman;Maria-Jesus Martin;Sandra Orchard

  • The Universal Protein Resource (UniProt)

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

  • The Gene Ontology resource: enriching a GOld mine

    Seth Carbon;Eric Douglass;Benjamin M Good

  • InterPro in 2022

    Unknown

  • Activities at the Universal Protein Resource (UniProt)

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

  • InterPro: the integrative protein signature database

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

  • The InterPro protein families and domains database: 20 years on.

    Matthias Blum;Hsin Yu Chang;Sara Chuguransky;Tiago Grego

  • UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searches

    Baris E. Suzek;Yuqi Wang;Hongzhan Huang;Peter B. McGarvey

  • UniRef: comprehensive and non-redundant UniProt reference clusters.

    Baris E. Suzek;Hongzhan Huang;Peter B. McGarvey;Raja Mazumder

  • InterPro in 2017-beyond protein family and domain annotations

    Robert D. Finn;Teresa K. Attwood;Patricia C. Babbitt;Alex Bateman

  • The InterPro protein families database: the classification resource after 15 years

    Alex L. Mitchell;Hsin-Yu Chang;Louise C. Daugherty;Matthew Fraser

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

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

  • InterPro in 2011: new developments in the family and domain prediction database

    Sarah Hunter;Philip Jones;Alex Mitchell;Rolf Apweiler

  • The Universal Protein Resource (UniProt) in 2010

    R Apweiler;MJ Martin;C O'Donovan;M Magrane

  • InterPro, progress and status in 2005

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

  • New developments in the InterPro database

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

  • The Protein Information Resource

    Cathy H. Wu;Lai-Su L. Yeh;Hongzhan Huang;Leslie Arminski

  • The human proteome project: Current state and future direction

    Pierre Legrain;Ruedi Aebersold;Ruedi Aebersold;Alexander Archakov;Amos Marc Bairoch

  • Accomplishments and challenges in literature data mining for biology

    Lynette Hirschman;Jong C. Park;Junichi Tsujii;Limsoon Wong

Frequent Co-Authors

Hongzhan Huang
Hongzhan Huang University of Delaware
Cecilia N. Arighi
Cecilia N. Arighi University of Delaware
George Y. Wu
George Y. Wu University of Connecticut Health Center
K. Vijay-Shanker
K. Vijay-Shanker University of Delaware
Hongfang Liu
Hongfang Liu The University of Texas Health Science Center at Houston
Rolf Apweiler
Rolf Apweiler European Bioinformatics Institute
Rodrigo Lopez
Rodrigo Lopez European Bioinformatics Institute
Alex Bateman
Alex Bateman European Bioinformatics Institute
Maria Jesus Martin
Maria Jesus Martin European Bioinformatics Institute
Judith A. Blake
Judith A. Blake Edith Cowan University

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