Tomohiro Tanaka
- Virology top 5%
- Physiology top 5%
- Immunology top 10%
- Immune Cell Function and Interaction 11
- Immunotherapy and Immune Responses 10
- Sensory Systems top 5%
- Cell Biology top 5%
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- Monoclonal and Polyclonal Antibodies Research 31
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- Glycosylation and Glycoproteins Research 29
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- HER2/EGFR in Cancer Research 17
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- Speech Recognition and Synthesis 15
- Natural Language Processing Techniques 13
- Topic Modeling 10
- Co-authors
- Yukinari KatoMika K. KanekoTsutomu IshikawaTakuya KumamotoHeiner WestphalMasanori TairaAlan D. AgulnickJoseph J. Breen
- Cited by
- VirologyPhysiologyImmunology
- Journals
- Nature (1 paper)Journal of Biological Chemistry (1 paper)Angewandte Chemie International Edition (1 paper)
- Partner nations
- JapanUnited StatesMalaysia
In The Last Decade
Tomohiro Tanaka
141 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 131
- Virology 143
- Physiology 74
- Immunology 322
- Sensory Systems 74
- Cell Biology 248
Countries citing papers authored by Tomohiro Tanaka
This map shows the geographic impact of Tomohiro Tanaka'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 Tomohiro Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohiro Tanaka more than expected).
Fields of papers citing papers by Tomohiro Tanaka
This network shows the impact of papers produced by Tomohiro Tanaka. 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 Tomohiro Tanaka. The network helps show where Tomohiro Tanaka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomohiro Tanaka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 22 | |
| 13 | 2022 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 12 | |
| 16 | 2019 | 5 | |
| 17 | Multi-task and Multi-lingual Joint Learning of Neural Lexical Utterance Classification based on Partially-shared Modeling. | 2018 | 5 |
| 18 | Study of Estimating Critical Flicker Frequency from Heart Rate Variability | 2015 | 1 |
| 19 | 2015 | 2 | |
| 20 | Monitoring system to keep suitable physical strength in exercise by body area network sensing system | 2011 | 1 |
About Tomohiro Tanaka
Tomohiro Tanaka is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Sensory Systems, having authored 152 papers that have together received 2.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (31 papers), Glycosylation and Glycoproteins Research (29 papers), HER2/EGFR in Cancer Research (17 papers), Speech Recognition and Synthesis (15 papers), Natural Language Processing Techniques (13 papers), Immune Cell Function and Interaction (11 papers), Topic Modeling (10 papers) and Immunotherapy and Immune Responses (10 papers). The work is most often cited by research in Virology (143 citations), Physiology (74 citations) and Immunology (322 citations). Tomohiro Tanaka has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Yukinari Kato, Mika K. Kaneko, Tsutomu Ishikawa, Takuya Kumamoto, Heiner Westphal, Masanori Taira, Alan D. Agulnick, Joseph J. Breen, Igor B. Dawid and Motohiro Nishida. Their work appears in journals such as Nature, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.