Keita Nishimura
- Rheumatology top 1%
- Genetics top 2%
- Surgery top 10%
- Urology top 1%
- Molecular Biology
- Co-authors
- Arnold I. CaplanVictor M. GoldbergLuis A. SolchagaJung U. YooBrian JohnstoneB. JohnstoneJinju NishinoSakae Tanaka
- Topics
- Streptococcal Infections and Treatments (5 papers)Rheumatoid Arthritis Research and Therapies (5 papers)Blood transfusion and management (3 papers)
- Cited by
- UrologyGeneticsRheumatology
- Partner nations
- JapanUnited States
In The Last Decade
Keita Nishimura
26 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Rheumatology 686
- Genetics 490
- Surgery 328
- Urology 309
- Molecular Biology 242
Countries citing papers authored by Keita Nishimura
This map shows the geographic impact of Keita Nishimura'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 Keita Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keita Nishimura more than expected).
Fields of papers citing papers by Keita Nishimura
This network shows the impact of papers produced by Keita Nishimura. 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 Keita Nishimura. The network helps show where Keita Nishimura may publish in the future.
Co-authorship network of co-authors of Keita Nishimura
This figure shows the co-authorship network connecting the top 25 collaborators of Keita Nishimura. A scholar is included among the top collaborators of Keita Nishimura 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 Keita Nishimura. Keita Nishimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 3 | |
| 3 | 14 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 18 | |
| 7 | 10 | |
| 8 | 13 | |
| 9 | 7 | |
| 10 | 23 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 2 | |
| 14 | 140 | |
| 15 | 47 | |
| 16 | The Chondrogenic Potential of Human Bone-Marrow-Derived Mesenchymal Progenitor Cells*breakdown → | 716 |
| 17 | Summer-type hypersensitivity pneumonitis. T-cell receptor V gene usage in BALF T-cells from 3 cases in one family. | 5 |
| 18 | 2 | |
| 19 | Familial primary biliary cirrhosis. Immunological and genetic study. | 17 |
| 20 | A new method of long-term irradiation of the peripheral blood of the mouse with 32 P. Observation on the changes of lymphocytes and the thymus response by this method. | 1 |
About Keita Nishimura
Keita Nishimura is a scholar working on Rheumatology, Biochemistry and Transplantation, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (5 papers), Rheumatoid Arthritis Research and Therapies (5 papers) and Blood transfusion and management (3 papers). The work is most often cited by research in Urology (309 citations), Genetics (490 citations) and Rheumatology (686 citations). Keita Nishimura has collaborated with scholars based in Japan and United States. Frequent co-authors include Arnold I. Caplan, Victor M. Goldberg, Luis A. Solchaga, Jung U. Yoo, Brian Johnstone, B. Johnstone, Jinju Nishino, Sakae Tanaka, Shigeto Tohma and Akiko Komiya. Their work appears in journals such as Journal of Bone and Joint Surgery, Gene Therapy and Journal of Immunology Research.
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.