Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
GENIA corpus—a semantically annotated corpus for bio-textmining
2003803 citationsTomoko Ohta, Yuka Tateisi et al.Bioinformaticsprofile →
brat: a Web-based Tool for NLP-Assisted Text Annotation
2012588 citationsPontus Stenetorp, Sampo Pyysalo et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Tomoko Ohta's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tomoko Ohta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoko Ohta more than expected).
This network shows the impact of papers produced by Tomoko Ohta. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tomoko Ohta. The network helps show where Tomoko Ohta may publish in the future.
Co-authorship network of co-authors of Tomoko Ohta
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Ohta.
A scholar is included among the top collaborators of Tomoko Ohta based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Tomoko Ohta. Tomoko Ohta is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pyysalo, Sampo, Tomoko Ohta, & Sophia Ananiadou. (2011). Anatomical Entity Recognition with Open Biomedical Ontologies. Research Explorer (The University of Manchester).2 indexed citations
12.
Stenetorp, Pontus, Goran Topić, Sampo Pyysalo, et al.. (2011). BioNLP Shared Task 2011: Supporting Resources. Meeting of the Association for Computational Linguistics. 112–103.37 indexed citations
13.
Landeghem, Sofie Van, Sampo Pyysalo, Tomoko Ohta, & Yves Van de Peer. (2010). Integration of Static Relations to Enhance Event Extraction from Text. Ghent University Academic Bibliography (Ghent University). 144–152.12 indexed citations
14.
Ohta, Tomoko, Yuka Tateisi, Jin-Dong Kim, Akane Yakushiji, & Jun’ichi Tsujii. (2006). Linguistic and Biological Annotations of Biological Interaction Events. Language Resources and Evaluation. 1402–1405.3 indexed citations
15.
Ohta, Tomoko, Yuka Tateisi, & Jin-Dong Kim. (2002). The GENIA corpus: an annotated research abstract corpus in molecular biology domain. 82–86.170 indexed citations
16.
Tateisi, Yuka, Tomoko Ohta, Nigel Collier, Chikashi Nobata, & Jun’ichi Tsujii. (2000). Building an Annotated Corpus in the Molecular-Biology Domain. International Conference on Computational Linguistics. 28–34.21 indexed citations
17.
Ohta, Tomoko, et al.. (1999). Effect of Hypochlorous Acid on Amino Acids (Report 1) The Effect on Glycine and Arginine on Free Radical Analysis. 42(3). 553–559.1 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.