Shimeru Kamihira
- Immunology top 0.5%
- Molecular Biology top 5%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Agronomy and Crop Science top 0.2%
- Oncology top 2%
- Co-authors
- Yasuaki YamadaMasao TomonagaShigeru KohnoKazuyuki SugaharaKunihiro TsukasakiYoichi HirakataKatsunori YanagiharaHiroo Hasegawa
- Topics
- T-cell and Retrovirus Studies (83 papers)Vector-Borne Animal Diseases (66 papers)Animal Disease Management and Epidemiology (57 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- JapanUnited StatesNigeria
In The Last Decade
Shimeru Kamihira
194 papers receiving 6.0k citations
Peers
Comparison fields: 5 of 136
- Immunology 3.0k
- Molecular Biology 1.8k
- Ecology, Evolution, Behavior and Systematics 1.7k
- Agronomy and Crop Science 1.6k
- Oncology 1.0k
Countries citing papers authored by Shimeru Kamihira
This map shows the geographic impact of Shimeru Kamihira'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 Shimeru Kamihira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shimeru Kamihira more than expected).
Fields of papers citing papers by Shimeru Kamihira
This network shows the impact of papers produced by Shimeru Kamihira. 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 Shimeru Kamihira. The network helps show where Shimeru Kamihira may publish in the future.
Co-authorship network of co-authors of Shimeru Kamihira
This figure shows the co-authorship network connecting the top 25 collaborators of Shimeru Kamihira. A scholar is included among the top collaborators of Shimeru Kamihira 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 Shimeru Kamihira. Shimeru Kamihira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A longitudinal, cross-sectional study of diversity in maternal platelet count kinetics, related to gestational thrombocytopenia | 0 |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 25 | |
| 5 | 21 | |
| 6 | 4 | |
| 7 | 48 | |
| 8 | 8 | |
| 9 | 37 | |
| 10 | 0 | |
| 11 | 18 | |
| 12 | 47 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 2 | |
| 16 | 62 | |
| 17 | 13 | |
| 18 | 15 | |
| 19 | 30 | |
| 20 | 2 |
About Shimeru Kamihira
Shimeru Kamihira is a scholar working on Agronomy and Crop Science, Immunology and Molecular Medicine, having authored 199 papers that have together received 6.2k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (83 papers), Vector-Borne Animal Diseases (66 papers) and Animal Disease Management and Epidemiology (57 papers). The work is most often cited by research in Agronomy and Crop Science (1.6k citations), Immunology (3.0k citations) and Molecular Medicine (603 citations). Shimeru Kamihira has collaborated with scholars based in Japan, United States and Nigeria. Frequent co-authors include Yasuaki Yamada, Masao Tomonaga, Shigeru Kohno, Kazuyuki Sugahara, Kunihiro Tsukasaki, Yoichi Hirakata, Katsunori Yanagihara, Hiroo Hasegawa, Sunao Atogami and Kazuto Tsuruda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.