Takuma Koyama
- Animal Science and Zoology top 10%
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- Rheumatoid Arthritis Research and Therapies 3
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- Virus-based gene therapy research 4
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- Vehicular Ad Hoc Networks (VANETs) 4
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- RNA Interference and Gene Delivery 3
- Bone Metabolism and Diseases 3
- Glycosylation and Glycoproteins Research 2
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- Robotics and Automated Systems 3
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- Modular Robots and Swarm Intelligence 2
- Co-authors
- S KawaiW G HaserSusumu TonegawaMichio MatsuhashiMasakazu YamadaHirohisa SaitoL R HallM Nishizawa
- Journals
- Journal of Virology (4 papers)Modern Rheumatology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takuma Koyama
28 papers receiving 465 citations
Peers
Comparison fields: 5 of 85
- Virology 29
- Immunology 99
- Animal Science and Zoology 44
- Rheumatology 53
- Genetics 95
Countries citing papers authored by Takuma Koyama
This map shows the geographic impact of Takuma Koyama'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 Takuma Koyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuma Koyama more than expected).
Fields of papers citing papers by Takuma Koyama
This network shows the impact of papers produced by Takuma Koyama. 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 Takuma Koyama. The network helps show where Takuma Koyama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takuma Koyama, 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 | 2023 | 3 | |
| 2 | 2022 | 8 | |
| 3 | 2021 | 4 | |
| 4 | 2019 | 2 | |
| 5 | 2019 | 13 | |
| 6 | 2017 | 8 | |
| 7 | 2016 | 7 | |
| 8 | [Mechanism of bone destruction in rheumatoid arthritis and perspectives of the treatment]. | 2016 | 2 |
| 9 | 2014 | 37 | |
| 10 | 2014 | 12 | |
| 11 | Treatment continuation rate in relation to efficacy and toxicity in long-term therapy with low-dose methotrexate, sulfasalazine, and bucillamine in 1,358 Japanese patients with rheumatoid arthritis. | 2006 | 14 |
| 12 | 2003 | 25 | |
| 13 | 2002 | 2 | |
| 14 | 2002 | 7 | |
| 15 | 2002 | 6 | |
| 16 | 1992 | 17 | |
| 17 | 1987 | 15 | |
| 18 | 1987 | 4 | |
| 19 | 1987 | 45 | |
| 20 | 1977 | 56 |
About Takuma Koyama
Takuma Koyama is a scholar working on Rheumatology, Control and Systems Engineering and Animal Science and Zoology, having authored 28 papers that have together received 499 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers), RNA Interference and Gene Delivery (3 papers), Robotics and Automated Systems (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Bone Metabolism and Diseases (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Virology (29 citations), Immunology (99 citations) and Animal Science and Zoology (44 citations). Takuma Koyama has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include S Kawai, W G Haser, Susumu Tonegawa, Michio Matsuhashi, Masakazu Yamada, Hirohisa Saito, L R Hall, M Nishizawa, R. Colin Hughes and Fumio Harada. Their work appears in journals such as Journal of Virology, Modern Rheumatology, Proceedings of the National Academy of Sciences, Journal of Bacteriology and PLoS ONE.
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.