World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
8346
World Ranking
12403
National Ranking
194

Tomoko Ohta 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 Tomoko Ohta 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: 72 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Tomoko Ohta 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 Tomoko Ohta 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Tomoko Ohta is affiliated with the University of Tokyo in Japan. Their research primarily focuses on the field of Biochemistry, Genetics and Molecular Biology, with a significant concentration in Molecular Biology, Artificial Intelligence, Biochemistry, Atmospheric Science, and Global and Planetary Change.

The topics covered in their work include:

  • Biomedical Text Mining and Ontologies
  • Radioactive contamination and transfer
  • Bioinformatics and Genomic Networks
  • Groundwater and Isotope Geochemistry
  • Semantic Web and Ontologies
  • Amino Acid Enzymes and Metabolism
  • Sulfur Compounds in Biology

Frequent publication venues for Tomoko Ohta's work include:

  • Scientific Reports
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Bioinformatics
  • Proceedings for Annual Meeting of The Japanese Pharmacological Society

Some of their recent papers are:

  • Differential mode of cholesterol inclusion with 2-hydroxypropyl-cyclodextrins increases safety margin in treatment of Niemann-Pick disease type C (2021, British Journal of Pharmacology)
  • S1000: a better taxonomic name corpus for biomedical information extraction (2023, Bioinformatics)
  • Ataxic phenotype and neurodegeneration are triggered by the impairment of chaperone-mediated autophagy in cerebellar neurons (2020, Neuropathology and Applied Neurobiology)
  • Therapeutic potential of d-cysteine against in vitro and in vivo models of spinocerebellar ataxia (2021, Experimental Neurology)
  • STRING-ing together protein complexes: corpus and methods for extracting physical protein interactions from the biomedical literature (2024, Bioinformatics)

Among frequent co-authors collaborating with Tomoko Ohta are:

  • Katerina Nastou
  • Lars Juhl Jensen
  • Sampo Pyysalo
  • Jouni Luoma
  • Yasunori Mahara

Best Publications

  • GENIA corpus—a semantically annotated corpus for bio-textmining

    Jin-Dong Kim;Tomoko Ohta;Yuka Tateisi;Jun'ichi Tsujii

  • brat: a Web-based Tool for NLP-Assisted Text Annotation

    Pontus Stenetorp;Sampo Pyysalo;Goran Topić;Tomoko Ohta

  • Overview of BioNLP'09 Shared Task on Event Extraction

    Jin-Dong Kim;Tomoko Ohta;Sampo Pyysalo;Yoshinobu Kano

  • Introduction to the bio-entity recognition task at JNLPBA

    Jin-Dong Kim;Tomoko Ohta;Yoshimasa Tsuruoka;Yuka Tateisi

  • Developing a robust part-of-speech tagger for biomedical text

    Yoshimasa Tsuruoka;Yuka Tateishi;Jin-Dong Kim;Tomoko Ohta

  • Corpus annotation for mining biomedical events from literature

    Jin Dong Kim;Tomoko Ohta;Jun'ichi Tsujii;Jun'ichi Tsujii

  • The GENIA corpus: an annotated research abstract corpus in molecular biology domain

    Tomoko Ohta;Yuka Tateisi;Jin-Dong Kim

  • Overview of BioNLP Shared Task 2013

    Claire Nédellec;Robert Bossy;Jin-Dong Kim;Jung-Jae Kim

  • Overview of BioNLP Shared Task 2011

    Jin-Dong Kim;Sampo Pyysalo;Tomoko Ohta;Robert Bossy

  • Event extraction across multiple levels of biological organization

    Sampo Pyysalo;Tomoko Ohta;Makoto Miwa;Han-Cheol Cho

  • Syntax Annotation for the GENIA Corpus

    Yuka Tateisi;Akane Yakushiji;Tomoko Ohta;Jun'ichi Tsujii

  • Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases

    Yusuke Miyao;Tomoko Ohta;Katsuya Masuda;Yoshimasa Tsuruoka

  • The GENIA project: corpus-based knowledge acquisition and information extraction from genome research papers

    Nigel Collier;Hyun Seok Park;Norihiro Ogata;Yuka Tateishi

  • Overview of the ID, EPI and REL tasks of BioNLP Shared Task 2011

    Sampo Pyysalo;Tomoko Ohta;Rafal Rak;Daniel E. Sullivan

  • Overview of the Cancer Genetics and Pathway Curation tasks of BioNLP Shared Task 2013

    Sampo Pyysalo;Tomoko Ohta;Rafal Rak;Andrew Rowley

  • BioCause: Annotating and analysing causality in the biomedical domain

    Claudiu Mihăilă;Tomoko Ohta;Sampo Pyysalo;Sophia Ananiadou

  • New challenges for text mining: mapping between text and manually curated pathways.

    Kanae Oda;Jin-Dong Kim;Tomoko Ohta;Daisuke Okanohara

  • Open-domain Anatomical Entity Mention Detection

    Tomoko Ohta;Sampo Pyysalo;Jun'ichi Tsujii;Sophia Ananiadou

  • EXTRACTING BIO‐MOLECULAR EVENTS FROM LITERATURE—THE BIONLP’09 SHARED TASK

    Jin-Dong Kim;Tomoko Ohta;Sampo Pyysalo;Yoshinobu Kano

  • Overview of the Pathway Curation (PC) task of BioNLP Shared Task 2013

    Tomoko Ohta;Sampo Pyysalo;Rafal Rak;Andrew Rowley

  • Overview of the Cancer Genetics (CG) task of BioNLP Shared Task 2013

    Sampo Pyysalo;Tomoko Ohta;Sophia Ananiadou

Frequent Co-Authors

Jun'ichi Tsujii
Jun'ichi Tsujii University of Manchester
Sampo Pyysalo
Sampo Pyysalo University of Turku
Sophia Ananiadou
Sophia Ananiadou University of Manchester
Makoto Miwa
Makoto Miwa Toyota Technological Institute
Yusuke Miyao
Yusuke Miyao University of Tokyo
Nigel Collier
Nigel Collier University of Cambridge
Yves Van de Peer
Yves Van de Peer Ghent University
Yoshimasa Tsuruoka
Yoshimasa Tsuruoka University of Tokyo
Filip Ginter
Filip Ginter University of Turku
Bruno W. S. Sobral
Bruno W. S. Sobral Virginia Tech

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