Kenzo Uchida
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Cardiology and Cardiovascular Medicine
- Physiology
- Molecular Biology
- Co-authors
- Makoto NishizawaAtsushi NakagawaShigeru NakanoToshikazu KigoshiAkira NiijimaHajime NakabayashiHaruhiko HatakeyamaTakaharu Ishibashi
- Topics
- Hormonal Regulation and Hypertension (5 papers)Renal Transplantation Outcomes and Treatments (4 papers)Stress Responses and Cortisol (2 papers)
In The Last Decade
Kenzo Uchida
24 papers receiving 447 citations
Peers
Comparison fields: 5 of 70
- Endocrinology, Diabetes and Metabolism 181
- Surgery 123
- Cardiology and Cardiovascular Medicine 102
- Physiology 89
- Molecular Biology 56
Countries citing papers authored by Kenzo Uchida
This map shows the geographic impact of Kenzo Uchida'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 Kenzo Uchida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenzo Uchida more than expected).
Fields of papers citing papers by Kenzo Uchida
This network shows the impact of papers produced by Kenzo Uchida. 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 Kenzo Uchida. The network helps show where Kenzo Uchida may publish in the future.
Co-authorship network of co-authors of Kenzo Uchida
This figure shows the co-authorship network connecting the top 25 collaborators of Kenzo Uchida. A scholar is included among the top collaborators of Kenzo Uchida 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 Kenzo Uchida. Kenzo Uchida 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 | [Blood circulation of cauda equina and nerve root]. | 9 |
| 3 | 41 | |
| 4 | 1 | |
| 5 | 88 | |
| 6 | 99 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 13 | |
| 12 | 81 | |
| 13 | 1 | |
| 14 | Japanese study of FK 506 on kidney transplantation: the benefit of monitoring the whole blood FK 506 concentration. Japanese FK 506 Study Group. | 18 |
| 15 | 6 | |
| 16 | 17 | |
| 17 | Studies of post-transplant glomerulonephritis in patients immunosuppressed with cyclosporine A. | 1 |
| 18 | 15 | |
| 19 | 6 | |
| 20 | 5 |
About Kenzo Uchida
Kenzo Uchida is a scholar working on Transplantation, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 461 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (5 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (181 citations), Transplantation (27 citations) and Endocrine and Autonomic Systems (51 citations). Kenzo Uchida has collaborated with scholars based in Japan and China. Frequent co-authors include Makoto Nishizawa, Atsushi Nakagawa, Shigeru Nakano, Toshikazu Kigoshi, Akira Niijima, Toshikazu Kigoshi, Hajime Nakabayashi, Haruhiko Hatakeyama, Shigeru Nakano and Takaharu Ishibashi. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care 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.