Tetsuya Kaneko
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- Immunotherapy and Immune Responses 4
- Phagocytosis and Immune Regulation 4
- Orthopedics and Sports Medicine top 10%
- Rheumatology top 10%
- Rheumatoid Arthritis Research and Therapies 10
- Musculoskeletal synovial abnormalities and treatments 5
- Organic Chemistry top 10%
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- Heart Rate Variability and Autonomic Control 6
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- Shoulder Injury and Treatment 5
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- Workplace Health and Well-being 3
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- DNA and Nucleic Acid Chemistry 3
- Co-authors
- Takayuki KageyamaMichinori KabutoNoriko NishikidoYoshika KurokawaToshio KobayashiKenji TakagishiSeiji SugaNobuki Oguni
- Journals
- Blood (3 papers)The Journal of Immunology (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Tetsuya Kaneko
46 papers receiving 778 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Immunology 172
- Experimental and Cognitive Psychology 85
- Orthopedics and Sports Medicine 55
- Rheumatology 95
- Organic Chemistry 176
Countries citing papers authored by Tetsuya Kaneko
This map shows the geographic impact of Tetsuya Kaneko'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 Tetsuya Kaneko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Kaneko more than expected).
Fields of papers citing papers by Tetsuya Kaneko
This network shows the impact of papers produced by Tetsuya Kaneko. 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 Tetsuya Kaneko. The network helps show where Tetsuya Kaneko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tetsuya Kaneko, 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 | 2024 | 0 | |
| 2 | 2022 | 1 | |
| 3 | 2020 | 9 | |
| 4 | 2019 | 9 | |
| 5 | 2015 | 6 | |
| 6 | 2015 | 16 | |
| 7 | 2013 | 13 | |
| 8 | 2013 | 29 | |
| 9 | 2008 | 1 | |
| 10 | 2004 | 1 | |
| 11 | 2003 | 1 | |
| 12 | 2001 | 1 | |
| 13 | 1998 | 65 | |
| 14 | 1998 | 3 | |
| 15 | 1998 | 73 | |
| 16 | 1997 | 1 | |
| 17 | 1995 | 31 | |
| 18 | 1990 | 8 | |
| 19 | [MR imaging of parotid masses]. | 1988 | 1 |
| 20 | [Pharmacological studies of dl-2[3-(2'-chlorophenoxy)phenyl]propionic acid. I. Analgesic and antipyretic effects]. | 1983 | 1 |
About Tetsuya Kaneko
Tetsuya Kaneko is a scholar working on Rheumatology, Immunology and Biophysics, having authored 47 papers that have together received 806 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (10 papers), Heart Rate Variability and Autonomic Control (6 papers), Musculoskeletal synovial abnormalities and treatments (5 papers), Shoulder Injury and Treatment (5 papers), Immunotherapy and Immune Responses (4 papers), Phagocytosis and Immune Regulation (4 papers), Workplace Health and Well-being (3 papers) and DNA and Nucleic Acid Chemistry (3 papers). The work is most often cited by research in Immunology (172 citations), Experimental and Cognitive Psychology (85 citations) and Orthopedics and Sports Medicine (55 citations). Tetsuya Kaneko has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Takayuki Kageyama, Michinori Kabuto, Noriko Nishikido, Yoshika Kurokawa, Toshio Kobayashi, Kenji Takagishi, Seiji Suga, Nobuki Oguni, Masato Kitamura and Yoshiharu Matsuda. Their work appears in journals such as Blood, The Journal of Immunology and Journal of Pharmacology and Experimental Therapeutics.
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.