Yuichi Hamada
Impact in
- Clinical Biochemistry top 2%
- Advanced Glycation End Products research
- Cell Biology top 5%
- Aldose Reductase and Taurine
Papers in
- Cell Biology 12
- Aldose Reductase and Taurine 10
- Surgery 7
- Co-authors
- Norio Hotta (12 shared papers)Keiji Naruse (9 shared papers)Jiro Nakamura (11 shared papers)Yoshitoshi Kasuya (4 shared papers)Eitaro Nakashima (7 shared papers)Philip Raskin (3 shared papers)Sadao Chaya (3 shared papers)Hideki Kamiya (4 shared papers)
- Journals
- Diabetic Medicine (4 papers)Diabetologia (3 papers)Diabetes (3 papers)The Analyst (1 paper)Diabetes Research and Clinical Practice (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Yuichi Hamada
37 papers receiving 808 citations
Peers
Comparison fields: 5 of 92
- Clinical Biochemistry 153
- Cell Biology 254
- Ophthalmology 97
- Endocrinology, Diabetes and Metabolism 133
- Physiology 200
Countries citing papers authored by Yuichi Hamada
This map shows the geographic impact of Yuichi Hamada'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 Yuichi Hamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichi Hamada more than expected).
Fields of papers citing papers by Yuichi Hamada
This network shows the impact of papers produced by Yuichi Hamada. 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 Yuichi Hamada. The network helps show where Yuichi Hamada may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuichi Hamada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 196 | |
| 2 | 2000 | 81 | |
| 3 | 2001 | 64 | |
| 4 | 1996 | 56 | |
| 5 | 2005 | 40 | |
| 6 | 1993 | 37 | |
| 7 | 2010 | 31 | |
| 8 | 1991 | 30 | |
| 9 | 1994 | 29 | |
| 10 | 2019 | 26 | |
| 11 | 2002 | 25 | |
| 12 | 2006 | 25 | |
| 13 | 1995 | 25 | |
| 14 | 1999 | 20 | |
| 15 | 1999 | 17 | |
| 16 | 1991 | 16 | |
| 17 | An aldose reductase inhibitor, TAT, reduces ADP-induced platelet hyperaggregation in streptozotocin-induced diabetic rats with neuropathy. | 1995 | 16 |
| 18 | 1996 | 15 | |
| 19 | 1995 | 12 | |
| 20 | 1995 | 11 |
About Yuichi Hamada
Yuichi Hamada is a scholar working on Cell Biology, Surgery, Neurology, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 39 papers that have together received 837 indexed citations. Recurring topics across this work include Aldose Reductase and Taurine (10 papers), Neonatal Health and Biochemistry (5 papers), Retinal Diseases and Treatments (5 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Pharmacology and Obesity Treatment (3 papers), Advanced Glycation End Products research (3 papers), Hereditary Neurological Disorders (3 papers) and Peripheral Neuropathies and Disorders (3 papers). The work is most often cited by research in Clinical Biochemistry (153 citations), Cell Biology (254 citations), Ophthalmology (97 citations), Endocrinology, Diabetes and Metabolism (133 citations) and Physiology (200 citations). Yuichi Hamada has collaborated with scholars based in Japan and United States. Frequent co-authors include Norio Hotta, Keiji Naruse, Jiro Nakamura, Yoshitoshi Kasuya, Eitaro Nakashima, Philip Raskin, Sadao Chaya, Hideki Kamiya, Y. Yasuda and N. Koh. Their work appears in journals such as Diabetic Medicine, Diabetologia, Diabetes, The Analyst and Diabetes Research and Clinical Practice.
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.