Kei Shimizu
- Immunology top 10%
- Agronomy and Crop Science top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Oncology
- Pathology and Forensic Medicine top 10%
- Co-authors
- Koichi OhshimaMasao MatsuokaPatrick L. GreenJun‐ichirou YasunagaShimon SakaguchiMika YoshidaMakio HayakawaNaganari Ohkura
- Topics
- Nematode management and characterization studies (7 papers)Bayesian Methods and Mixture Models (4 papers)Statistical Distribution Estimation and Applications (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodBiochemical and Biophysical Research Communications
In The Last Decade
Kei Shimizu
37 papers receiving 654 citations
Peers
Comparison fields: 5 of 105
- Immunology 273
- Agronomy and Crop Science 203
- Ecology, Evolution, Behavior and Systematics 199
- Oncology 172
- Pathology and Forensic Medicine 139
Countries citing papers authored by Kei Shimizu
This map shows the geographic impact of Kei Shimizu'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 Kei Shimizu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kei Shimizu more than expected).
Fields of papers citing papers by Kei Shimizu
This network shows the impact of papers produced by Kei Shimizu. 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 Kei Shimizu. The network helps show where Kei Shimizu may publish in the future.
Co-authorship network of co-authors of Kei Shimizu
This figure shows the co-authorship network connecting the top 25 collaborators of Kei Shimizu. A scholar is included among the top collaborators of Kei Shimizu 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 Kei Shimizu. Kei Shimizu 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 | 238 | |
| 3 | 15 | |
| 4 | 21 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | Downregulation of RCAS1 and upregulation of cytotoxic T cells affects synovial proliferation and apoptosis in rheumatoid arthritis. | 4 |
| 8 | 6 | |
| 9 | 99 | |
| 10 | 18 | |
| 11 | 61 | |
| 12 | 1 | |
| 13 | 29 | |
| 14 | 6 | |
| 15 | Characterization of autohydrolyzed woods of five cultivated legumes | 1 |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 3 |
About Kei Shimizu
Kei Shimizu is a scholar working on Aging, Statistics and Probability and Clinical Biochemistry, having authored 40 papers that have together received 677 indexed citations. Recurring topics across this work include Nematode management and characterization studies (7 papers), Bayesian Methods and Mixture Models (4 papers) and Statistical Distribution Estimation and Applications (4 papers). The work is most often cited by research in Agronomy and Crop Science (203 citations), Immunology (273 citations) and Ecology, Evolution, Behavior and Systematics (199 citations). Kei Shimizu has collaborated with scholars based in Japan, Malaysia and India. Frequent co-authors include Koichi Ohshima, Masao Matsuoka, Patrick L. Green, Jun‐ichirou Yasunaga, Shimon Sakaguchi, Mika Yoshida, Makio Hayakawa, Naganari Ohkura, Tomoyuki Yamaguchi and Yorifumi Satou. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Biochemical and Biophysical Research Communications.
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.