World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5089
World Ranking
13069
National Ranking
5262

Cecilia N. Arighi 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 Cecilia N. Arighi 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: 105 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Cecilia N. Arighi 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 Cecilia N. Arighi 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Cecilia N. Arighi is affiliated with the University of Delaware in the United States. Their research primarily targets the field of Biochemistry, Genetics and Molecular Biology, with a particular focus on Molecular Biology. They have contributed substantially to subfields that include Artificial Intelligence, Cancer Research, Information Systems and Management, and Radiology, Nuclear Medicine and Imaging.

The scientist's work covers multiple topics related to biomedical and computational biology. Key research topics include Biomedical Text Mining and Ontologies, Genomics and Phylogenetic Studies, Bioinformatics and Genomic Networks, Genetics, Bioinformatics, and Biomedical Research, Topic Modeling, Natural Language Processing Techniques, and Semantic Web and Ontologies.

Arighi has coauthored research with a range of collaborators, with notable frequent collaborators being Chuming Chen, María Martin, Cathy Wu, Alex Bateman, and Hongzhan Huang. These partnerships indicate active interdisciplinary and collaborative research efforts.

In terms of publications, Arighi frequently publishes in venues such as Database, Bioinformatics, Bioinformatics Advances, Briefings in Bioinformatics, and proceedings of the 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Their recent papers include:

  • UniProt: the Universal Protein Knowledgebase in 2025, 2024, Nucleic Acids Research
  • A crowdsourcing open platform for literature curation in UniProt, 2021, PLoS Biology
  • Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research, 2020, Briefings in Bioinformatics
  • BioRED: a rich biomedical relation extraction dataset, 2022, Briefings in Bioinformatics
  • UniRule: a unified rule resource for automatic annotation in the UniProt Knowledgebase, 2020, Bioinformatics

Best Publications

  • UniProt: A hub for protein information

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

  • UniProt: the universal protein knowledgebase in 2021

    Alex Bateman;Maria-Jesus Martin;Sandra Orchard

  • The Gene Ontology resource: enriching a GOld mine

    Seth Carbon;Eric Douglass;Benjamin M Good

  • Activities at the Universal Protein Resource (UniProt)

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

  • UniProt: the Universal Protein Knowledgebase in 2025.

    Unknown

  • The Universal Protein Resource (UniProt) in 2010

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

  • A crowdsourcing open platform for literature curation in UniProt

    Unknown

  • Text mining for the biocuration workflow

    Lynette Hirschman;Gully A. P. C. Burns;Martin Krallinger;Cecilia Arighi

  • The Protein Ontology: a structured representation of protein forms and complexes

    Darren A. Natale;Cecilia N. Arighi;Winona C. Barker;Judith A. Blake

  • iPTMnet: an integrated resource for protein post-translational modification network discovery.

    Hongzhan Huang;Cecilia N Arighi;Cecilia N Arighi;Karen E Ross;Jia Ren

  • BioRED: a rich biomedical relation extraction dataset

    Unknown

  • Framework for a protein ontology.

    Darren A. Natale;Cecilia N. Arighi;Winona C. Barker;Judith A. Blake

  • On expert curation and scalability: UniProtKB/Swiss-Prot as a case study.

    Sylvain Poux;Cecilia N Arighi;Michele Magrane;Alex Bateman

  • Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research.

    Franziska Hufsky;Kevin Lamkiewicz;Alexandre Almeida;Abdel Aouacheria

  • Overview of the BioCreative III Workshop

    Cecilia N. Arighi;Zhiyong Lu;Martin Krallinger;Kevin Bretonnel Cohen

  • Protein Ontology (PRO): enhancing and scaling up the representation of protein entities

    Darren A. Natale;Cecilia N. Arighi;Judith A. Blake;Jonathan P. Bona

  • BioCreative III interactive task: an overview.

    Cecilia N Arighi;Phoebe M Roberts;Shashank Agarwal;Sanmitra Bhattacharya

  • PIRSF family classification system for protein functional and evolutionary analysis.

    Anastasia N. Nikolskaya;Cecilia N. Arighi;Hongzhan Huang;Winona C. Barker

  • Overview of the interactive task in BioCreative V

    Qinghua Wang;Shabbir S. Abdul;Lara Almeida;Sophia Ananiadou

  • An overview of the BioCreative 2012 Workshop Track III: interactive text mining task

    Cecilia N. Arighi;Ben Carterette;K. Bretonnel Cohen;Martin Krallinger

  • Protein Ontology: a controlled structured network of protein entities

    Darren A. Natale;Cecilia N Arighi;Judith A. Blake;Carol J. Bult

  • Structural mechanism for ubiquitinated-cargo recognition by the Golgi-localized, γ-ear-containing, ADP-ribosylation-factor-binding proteins

    Gali Prag;Sangho Lee;Rafael Mattera;Cecilia N. Arighi

  • BioCreative-IV virtual issue.

    Cecilia N. Arighi;Cathy H. Wu;Kevin Bretonnel Cohen;Lynette Hirschman

  • miRTex: A Text Mining System for miRNA-Gene Relation Extraction.

    Gang Li;Karen E. Ross;Cecilia N. Arighi;Yifan Peng

  • Expert curation in UniProtKB: a case study on dealing with conflicting and erroneous data

    Sylvain Poux;Michele Magrane;Cecilia N. Arighi;Alan Bridge

Frequent Co-Authors

Cathy H. Wu
Cathy H. Wu University of Delaware
Hongzhan Huang
Hongzhan Huang University of Delaware
K. Vijay-Shanker
K. Vijay-Shanker University of Delaware
Judith A. Blake
Judith A. Blake Edith Cowan University
Zhiyong Lu
Zhiyong Lu National Institutes of Health
Maria Jesus Martin
Maria Jesus Martin European Bioinformatics Institute
Peter D'Eustachio
Peter D'Eustachio New York University
Alex Bateman
Alex Bateman European Bioinformatics Institute
Barry Smith
Barry Smith University at Buffalo, State University of New York
Patrick Ruch
Patrick Ruch Swiss Institute of Bioinformatics

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