Koichiro Usuku
- Immunology top 0.5%
- Agronomy and Crop Science top 0.1%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Mitsuhiro OsameShuji IzumoCharles R. M. BanghamA IgataMakoto MatsumotoMasahiro NagaiWataru MatsumotoDaisuke Kodama
- Topics
- T-cell and Retrovirus Studies (53 papers)Animal Disease Management and Epidemiology (38 papers)Vector-Borne Animal Diseases (34 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBlood
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Koichiro Usuku
71 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Immunology 3.4k
- Agronomy and Crop Science 2.3k
- Ecology, Evolution, Behavior and Systematics 2.0k
- Molecular Biology 205
- Cardiology and Cardiovascular Medicine 166
Countries citing papers authored by Koichiro Usuku
This map shows the geographic impact of Koichiro Usuku'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 Koichiro Usuku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichiro Usuku more than expected).
Fields of papers citing papers by Koichiro Usuku
This network shows the impact of papers produced by Koichiro Usuku. 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 Koichiro Usuku. The network helps show where Koichiro Usuku may publish in the future.
Co-authorship network of co-authors of Koichiro Usuku
This figure shows the co-authorship network connecting the top 25 collaborators of Koichiro Usuku. A scholar is included among the top collaborators of Koichiro Usuku 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 Koichiro Usuku. Koichiro Usuku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 25 | |
| 7 | 10 | |
| 8 | 18 | |
| 9 | 18 | |
| 10 | 40 | |
| 11 | 173 | |
| 12 | 34 | |
| 13 | 9 | |
| 14 | 44 | |
| 15 | 66 | |
| 16 | 51 | |
| 17 | 10 | |
| 18 | 3 | |
| 19 | 26 | |
| 20 | 5 |
About Koichiro Usuku
Koichiro Usuku is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 71 papers that have together received 3.8k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (53 papers), Animal Disease Management and Epidemiology (38 papers) and Vector-Borne Animal Diseases (34 papers). The work is most often cited by research in Agronomy and Crop Science (2.3k citations), Immunology (3.4k citations) and Ecology, Evolution, Behavior and Systematics (2.0k citations). Koichiro Usuku has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Mitsuhiro Osame, Shuji Izumo, Charles R. M. Bangham, A Igata, Makoto Matsumoto, Masahiro Nagai, Wataru Matsumoto, Daisuke Kodama, Norihiro Takenouchi and Mitsutoshi Tara. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.
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.