Jun Matsuda
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Clinical Biochemistry top 5%
- Advanced Glycation End Products research
Papers in
- Nephrology 19
- Renal Diseases and Glomerulopathies 13
- Chronic Kidney Disease and Diabetes 10
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- Autophagy in Disease and Therapy 8
- Co-authors
- Tomoko Namba‐Hamano (18 shared papers)Takeshi Yamamoto (17 shared papers)Yoshitsugu Takabatake (12 shared papers)Isao Matsui (12 shared papers)Atsushi Takahashi (10 shared papers)Yoshitaka Isaka (12 shared papers)Satoshi Minami (11 shared papers)Taiji Matsusaka (8 shared papers)
In The Last Decade
Jun Matsuda
31 papers receiving 971 citations
Peers
Comparison fields: 5 of 86
- Nephrology 286
- Clinical Biochemistry 111
- Epidemiology 349
- Biochemistry 58
- Aging 12
Countries citing papers authored by Jun Matsuda
This map shows the geographic impact of Jun Matsuda'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 Matsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Matsuda more than expected).
Fields of papers citing papers by Jun Matsuda
This network shows the impact of papers produced by Jun Matsuda. 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 Matsuda. The network helps show where Jun Matsuda may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Matsuda, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 213 | |
| 2 | 2017 | 101 | |
| 3 | 2016 | 99 | |
| 4 | 2019 | 73 | |
| 5 | 2020 | 68 | |
| 6 | 2017 | 53 | |
| 7 | 2017 | 51 | |
| 8 | 2014 | 49 | |
| 9 | 2020 | 41 | |
| 10 | 1995 | 32 | |
| 11 | 2001 | 24 | |
| 12 | 1990 | 23 | |
| 13 | 2000 | 21 | |
| 14 | 2021 | 17 | |
| 15 | 2010 | 15 | |
| 16 | 2023 | 15 | |
| 17 | 2020 | 15 | |
| 18 | 2020 | 15 | |
| 19 | 2018 | 11 | |
| 20 | 1999 | 11 |
About Jun Matsuda
Jun Matsuda is a scholar working on Nephrology, Epidemiology, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 981 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (13 papers), Chronic Kidney Disease and Diabetes (10 papers), Autophagy in Disease and Therapy (8 papers), Vasculitis and related conditions (4 papers), Biomedical Research and Pathophysiology (3 papers), Pancreatic function and diabetes (2 papers), Genetic and Kidney Cyst Diseases (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Nephrology (286 citations), Clinical Biochemistry (111 citations), Epidemiology (349 citations), Biochemistry (58 citations) and Aging (12 citations). Jun Matsuda has collaborated with scholars based in Japan, Canada and India. Frequent co-authors include Tomoko Namba‐Hamano, Takeshi Yamamoto, Yoshitsugu Takabatake, Isao Matsui, Atsushi Takahashi, Yoshitaka Isaka, Satoshi Minami, Taiji Matsusaka, Fumio Niimura and Tomonori Kimura. Their work appears in journals such as Autophagy, Journal of the American Society of Nephrology, Kidney International, Scientific Reports and Frontiers in Cell and Developmental Biology.
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.