Daisuke Kimura
Impact in
- Parasitology top 5%
- Parasitic Infections and Diagnostics
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Complement system in diseases
- Immunotherapy and Immune Responses
Papers in
- Immunology 18
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 8
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- Logic, programming, and type systems 13
- Co-authors
- Katsuyuki Yui (23 shared papers)Mana Miyakoda (18 shared papers)Kiri Honma (8 shared papers)Kazumi Kimura (11 shared papers)Shoji Uga (9 shared papers)Masao Yuda (6 shared papers)Masoud Akbari (7 shared papers)T. Matsuyama (3 shared papers)
In The Last Decade
Daisuke Kimura
77 papers receiving 880 citations
Peers
Comparison fields: 5 of 117
- Parasitology 122
- Immunology 302
- Public Health, Environmental and Occupational Health 245
- Virology 25
- Physical Therapy, Sports Therapy and Rehabilitation 20
Countries citing papers authored by Daisuke Kimura
This map shows the geographic impact of Daisuke Kimura'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 Daisuke Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Kimura more than expected).
Fields of papers citing papers by Daisuke Kimura
This network shows the impact of papers produced by Daisuke Kimura. 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 Daisuke Kimura. The network helps show where Daisuke Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Kimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 71 | |
| 2 | 2016 | 71 | |
| 3 | 2000 | 57 | |
| 4 | 2014 | 51 | |
| 5 | 2013 | 43 | |
| 6 | 2008 | 42 | |
| 7 | 2011 | 38 | |
| 8 | 2015 | 34 | |
| 9 | 2016 | 28 | |
| 10 | 2015 | 27 | |
| 11 | 2022 | 23 | |
| 12 | 2018 | 19 | |
| 13 | 2019 | 18 | |
| 14 | 2016 | 17 | |
| 15 | 2021 | 15 | |
| 16 | 2010 | 15 | |
| 17 | 2017 | 15 | |
| 18 | 2019 | 15 | |
| 19 | 2012 | 14 | |
| 20 | 2015 | 14 |
About Daisuke Kimura
Daisuke Kimura is a scholar working on Immunology, Artificial Intelligence, Public Health, Environmental and Occupational Health, Computational Theory and Mathematics and Cognitive Neuroscience, having authored 89 papers that have together received 896 indexed citations. Recurring topics across this work include Logic, programming, and type systems (13 papers), Immune Cell Function and Interaction (13 papers), Malaria Research and Control (11 papers), Formal Methods in Verification (10 papers), T-cell and B-cell Immunology (8 papers), Motor Control and Adaptation (8 papers), Muscle activation and electromyography studies (7 papers) and Balance, Gait, and Falls Prevention (6 papers). The work is most often cited by research in Parasitology (122 citations), Immunology (302 citations), Public Health, Environmental and Occupational Health (245 citations), Virology (25 citations) and Physical Therapy, Sports Therapy and Rehabilitation (20 citations). Daisuke Kimura has collaborated with scholars based in Japan, France and Malaysia. Frequent co-authors include Katsuyuki Yui, Mana Miyakoda, Kiri Honma, Kazumi Kimura, Shoji Uga, Masao Yuda, Masoud Akbari, T. Matsuyama, Yasuo Chinzei and Yoshisada Shibata. Their work appears in journals such as International Immunology, The Journal of Immunology, PLoS ONE, Infection and Immunity and Veterinary Parasitology.
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.