Tetsuro Arimura
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Clinical Biochemistry top 10%
- Advanced Glycation End Products research
Papers in
-
- Chronic Kidney Disease and Diabetes 4
- Renal Diseases and Glomerulopathies 2
- Dialysis and Renal Disease Management 2
- Surgery 2
- Pancreatic function and diabetes 1
- Co-authors
- Ryuichi Kikkawa (5 shared papers)Masakazu Haneda (5 shared papers)Yukio Shigeta (4 shared papers)Yoshihiro Fujiwara (1 shared paper)Shiro Maeda (2 shared papers)Masaki Togawa (2 shared papers)Tadashi Sawada (1 shared paper)Takashi Uzu (3 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (1 paper)Metabolism (1 paper)Diabetes (1 paper)Diabetologia (1 paper)Therapeutic Apheresis and Dialysis (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tetsuro Arimura
8 papers receiving 285 citations
Peers
Comparison fields: 5 of 55
- Nephrology 93
- Clinical Biochemistry 48
- Endocrinology, Diabetes and Metabolism 94
- Cell Biology 57
- Transplantation 5
Countries citing papers authored by Tetsuro Arimura
This map shows the geographic impact of Tetsuro Arimura'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 Tetsuro Arimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuro Arimura more than expected).
Fields of papers citing papers by Tetsuro Arimura
This network shows the impact of papers produced by Tetsuro Arimura. 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 Tetsuro Arimura. The network helps show where Tetsuro Arimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Tetsuro Arimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 100 | |
| 2 | 1986 | 60 | |
| 3 | 1990 | 55 | |
| 4 | 2009 | 40 | |
| 5 | 1993 | 15 | |
| 6 | 1989 | 11 | |
| 7 | 2015 | 4 | |
| 8 | 2007 | 4 |
About Tetsuro Arimura
Tetsuro Arimura is a scholar working on Nephrology, Surgery, Hematology, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 8 papers that have together received 289 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (4 papers), Renal Diseases and Glomerulopathies (2 papers), Neurological and metabolic disorders (2 papers), Erythropoietin and Anemia Treatment (2 papers), Aldose Reductase and Taurine (2 papers), Dialysis and Renal Disease Management (2 papers), Pancreatic function and diabetes (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Nephrology (93 citations), Clinical Biochemistry (48 citations), Endocrinology, Diabetes and Metabolism (94 citations), Cell Biology (57 citations) and Transplantation (5 citations). Tetsuro Arimura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Ryuichi Kikkawa, Masakazu Haneda, Yukio Shigeta, Yoshihiro Fujiwara, Shiro Maeda, Masaki Togawa, Tadashi Sawada, Takashi Uzu, Keiji Isshiki and Tsuguru Hatta. Their work appears in journals such as Biochemical and Biophysical Research Communications, Metabolism, Diabetes, Diabetologia and Therapeutic Apheresis and Dialysis.
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.