Jun Watanabe
Impact in
- Clinical Biochemistry top 2%
- Advanced Glycation End Products research
- Biochemistry top 5%
- Antioxidant Activity and Oxidative Stress
Papers in
- Co-authors
- Kazuhiko Kotani (34 shared papers)Yuichi Makino (3 shared papers)Masakazu Haneda (4 shared papers)Yukihiro Fujita (3 shared papers)Yumi Takiyama (3 shared papers)Fumio Umeda (8 shared papers)Hajime Nawata (5 shared papers)Shinsuke Kanamura (6 shared papers)
- Journals
- Diabetes Research and Clinical Practice (4 papers)Journal of Histochemistry & Cytochemistry (4 papers)Cochrane Database of Systematic Reviews (4 papers)Digestive Endoscopy (3 papers)Diabetes (3 papers)
- Partner nations
- JapanUnited StatesIreland
In The Last Decade
Jun Watanabe
131 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 108
- Clinical Biochemistry 145
- Biochemistry 82
- Endocrinology, Diabetes and Metabolism 209
- Physiology 222
- Biochemistry 66
Countries citing papers authored by Jun Watanabe
This map shows the geographic impact of Jun Watanabe'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 Jun Watanabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Watanabe more than expected).
Fields of papers citing papers by Jun Watanabe
This network shows the impact of papers produced by Jun Watanabe. 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 Jun Watanabe. The network helps show where Jun Watanabe may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Watanabe, 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 148 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 147 | |
| 2 | 1995 | 74 | |
| 3 | 1988 | 58 | |
| 4 | 2014 | 57 | |
| 5 | 2023 | 56 | |
| 6 | 1984 | 48 | |
| 7 | 2016 | 41 | |
| 8 | 2020 | 33 | |
| 9 | 2011 | 31 | |
| 10 | 1988 | 30 | |
| 11 | 2016 | 28 | |
| 12 | 2002 | 28 | |
| 13 | 2001 | 27 | |
| 14 | 2021 | 26 | |
| 15 | 1989 | 23 | |
| 16 | 1996 | 21 | |
| 17 | 1993 | 21 | |
| 18 | 2021 | 21 | |
| 19 | 2019 | 20 | |
| 20 | 2021 | 20 |
About Jun Watanabe
Jun Watanabe is a scholar working on Surgery, Oncology, Epidemiology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 148 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Nutrition and Health in Aging (6 papers), Paraoxonase enzyme and polymorphisms (6 papers), Antioxidant Activity and Oxidative Stress (6 papers), Colorectal Cancer Surgical Treatments (6 papers), Nitric Oxide and Endothelin Effects (5 papers), Colorectal Cancer Screening and Detection (5 papers) and Antiplatelet Therapy and Cardiovascular Diseases (5 papers). The work is most often cited by research in Clinical Biochemistry (145 citations), Biochemistry (82 citations), Endocrinology, Diabetes and Metabolism (209 citations), Physiology (222 citations) and Biochemistry (66 citations). Jun Watanabe has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Kazuhiko Kotani, Yuichi Makino, Masakazu Haneda, Yukihiro Fujita, Yumi Takiyama, Fumio Umeda, Hajime Nawata, Shinsuke Kanamura, John A. Colwell and F. Umeda. Their work appears in journals such as Diabetes Research and Clinical Practice, Journal of Histochemistry & Cytochemistry, Cochrane Database of Systematic Reviews, Digestive Endoscopy and Diabetes.
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.