Manabu Torii

2.1k total citations
51 papers, 985 citations indexed

About

Manabu Torii is a scholar working on Molecular Biology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Manabu Torii has authored 51 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 35 papers in Artificial Intelligence and 3 papers in Epidemiology. Recurrent topics in Manabu Torii's work include Biomedical Text Mining and Ontologies (35 papers), Topic Modeling (23 papers) and Natural Language Processing Techniques (18 papers). Manabu Torii is often cited by papers focused on Biomedical Text Mining and Ontologies (35 papers), Topic Modeling (23 papers) and Natural Language Processing Techniques (18 papers). Manabu Torii collaborates with scholars based in United States, China and Australia. Manabu Torii's co-authors include Cathy Wu, Hongfang Liu, Kavishwar B. Wagholikar, K. Vijay‐Shanker, Yifan Peng, Hong Liu, Jinlian Wang, Hongfang Liu, Zhang‐Zhi Hu and Gerald W. Hart and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Journal of the American Medical Informatics Association.

In The Last Decade

Manabu Torii

50 papers receiving 930 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Manabu Torii United States 18 670 560 57 53 42 51 985
Qiao Jin United States 16 273 0.4× 647 1.2× 42 0.7× 63 1.2× 13 0.3× 51 1.2k
Qiang Wei China 13 374 0.6× 470 0.8× 11 0.2× 83 1.6× 40 1.0× 40 1.1k
Lixia Yao United States 20 405 0.6× 189 0.3× 87 1.5× 68 1.3× 14 0.3× 95 1.2k
Margaret S. Lyman United States 12 366 0.5× 350 0.6× 27 0.5× 93 1.8× 18 0.4× 29 827
A. Jamie Cuticchia United States 16 604 0.9× 95 0.2× 72 1.3× 69 1.3× 8 0.2× 30 1.0k
Marc Weeber Netherlands 17 820 1.2× 594 1.1× 20 0.4× 23 0.4× 3 0.1× 27 1.1k
Stelios Sfakianakis Greece 17 191 0.3× 165 0.3× 41 0.7× 73 1.4× 4 0.1× 59 610
Bevan Koopman Australia 20 400 0.6× 750 1.3× 64 1.1× 94 1.8× 3 0.1× 101 1.1k
Nansu Zong United States 14 322 0.5× 201 0.4× 30 0.5× 98 1.8× 4 0.1× 46 644
Víctor Maojo Spain 16 394 0.6× 240 0.4× 21 0.4× 61 1.2× 3 0.1× 71 746

Countries citing papers authored by Manabu Torii

Since Specialization
Citations

This map shows the geographic impact of Manabu Torii'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 Manabu Torii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manabu Torii more than expected).

Fields of papers citing papers by Manabu Torii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manabu Torii. 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 Manabu Torii. The network helps show where Manabu Torii may publish in the future.

Co-authorship network of co-authors of Manabu Torii

This figure shows the co-authorship network connecting the top 25 collaborators of Manabu Torii. A scholar is included among the top collaborators of Manabu Torii 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 Manabu Torii. Manabu Torii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Peng, Yifan, Catalina O. Tudor, Manabu Torii, Cathy Wu, & K. Vijay‐Shanker. (2014). iSimp in BioC standard format: enhancing the interoperability of a sentence simplification system. Database. 2014(0). bau038–bau038. 8 indexed citations
2.
Peng, Yifan, Manabu Torii, Cathy Wu, & K. Vijay‐Shanker. (2014). A generalizable NLP framework for fast development of pattern-based biomedical relation extraction systems. BMC Bioinformatics. 15(1). 285–285. 23 indexed citations
3.
Torii, Manabu, Rose Oughtred, Francesca Diella, et al.. (2014). RLIMS-P: an online text-mining tool for literature-based extraction of protein phosphorylation information. Database. 2014(0). bau081–bau081. 19 indexed citations
4.
Torii, Manabu, Kavishwar B. Wagholikar, & Hongfang Liu. (2014). Detecting concept mentions in biomedical text using hidden Markov model: multiple concept types at once or one at a time?. Journal of Biomedical Semantics. 5(1). 3–3. 5 indexed citations
5.
Wagholikar, Kavishwar B., Manabu Torii, Siddhartha Jonnalagadda, & Hongfang Liu. (2013). Pooling annotated corpora for clinical concept extraction. Journal of Biomedical Semantics. 4(1). 3–3. 13 indexed citations
6.
Islamaj, Rezarta, Paolo Ciccarese, K. B. Cohen, et al.. (2013). BioC: a minimalist approach to interoperability for biomedical text processing. Database. 2013(0). bat064–bat064. 115 indexed citations
7.
Jonnalagadda, Siddhartha, Dingcheng Li, Sunghwan Sohn, et al.. (2012). Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules. Journal of the American Medical Informatics Association. 19(5). 867–874. 22 indexed citations
8.
Alemi, Farrokh, et al.. (2012). Feasibility of Real-Time Satisfaction Surveys Through Automated Analysis of Patients' Unstructured Comments and Sentiments. Quality Management in Health Care. 21(1). 9–19. 51 indexed citations
9.
10.
Wang, Jinlian, Manabu Torii, Hongfang Liu, Gerald W. Hart, & Zhang‐Zhi Hu. (2011). dbOGAP - An Integrated Bioinformatics Resource for Protein O-GlcNAcylation. BMC Bioinformatics. 12(1). 91–91. 92 indexed citations
11.
Torii, Manabu, Kavishwar B. Wagholikar, & Hongfang Liu. (2011). Using machine learning for concept extraction on clinical documents from multiple data sources. Journal of the American Medical Informatics Association. 18(5). 580–587. 103 indexed citations
12.
Lee, Chong M., Manabu Torii, Jinesh Shah, et al.. (2010). Evaluating gene/protein name tagging and mapping for article retrieval. 714. 104–109. 1 indexed citations
13.
Torii, Manabu, Zhipeng Hu, Cathy Wu, & Hong Liu. (2008). BioTagger-GM: A Gene/Protein Name Recognition System. Journal of the American Medical Informatics Association. 16(2). 247–255. 55 indexed citations
14.
Miller, John E., Manabu Torii, & K. Vijay‐Shanker. (2007). Building Domain-Specific Taggers without Annotated (Domain) Data. Empirical Methods in Natural Language Processing. 1103–1111. 8 indexed citations
15.
Torii, Manabu, et al.. (2007). A comparison study on algorithms of detecting long forms for short forms in biomedical text. BMC Bioinformatics. 8(S9). S5–S5. 20 indexed citations
16.
Torii, Manabu & Hongfang Liu. (2007). Classifier Ensemble for Biomedical Document Retrieval.. 319. 3 indexed citations
17.
Torii, Manabu, Sachin Kamboj, & K. Vijay‐Shanker. (2004). Using name-internal and contextual features to classify biological terms. Journal of Biomedical Informatics. 37(6). 498–511. 14 indexed citations
18.
Torii, Manabu & K. Vijay‐Shanker. (2002). Using Unlabeled MEDLINE Abstracts for Biological Named Entity Classification. Proceedings Genome Informatics Workshop/Genome informatics. 13. 567–568. 5 indexed citations
19.
Ikeda, Maki, Makiko Ishikawa, Hiroyuki Sakakibara, et al.. (2002). Cryopreservation of mouse germinal vesicle oocytes and ovarian tissues by Vitrification. 19(1). 131–133. 2 indexed citations
20.
Torii, Manabu & Martin Hagan. (2002). Stability of steepest descent with momentum for quadratic functions. IEEE Transactions on Neural Networks. 13(3). 752–756. 33 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.

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