Shinji Kume
- Molecular Biology top 5%
- Epidemiology top 1%
- Physiology top 1%
- Nephrology top 0.2%
- Endocrinology, Diabetes and Metabolism top 1%
- Co-authors
- Daisuke KoyaTakashi UzuShin‐ichi ArakiHiroshi MaegawaMasakazu HanedaMasami Chin‒KanasakiKeiji IsshikiAtsunori Kashiwagi
- Topics
- Chronic Kidney Disease and Diabetes (22 papers)Autophagy in Disease and Therapy (22 papers)Pancreatic function and diabetes (16 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationJournal of Geophysical Research Atmospheres
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Shinji Kume
158 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 2.1k
- Epidemiology 1.9k
- Physiology 1.4k
- Nephrology 1.4k
- Endocrinology, Diabetes and Metabolism 1.1k
Countries citing papers authored by Shinji Kume
This map shows the geographic impact of Shinji Kume'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 Shinji Kume with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinji Kume more than expected).
Fields of papers citing papers by Shinji Kume
This network shows the impact of papers produced by Shinji Kume. 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 Shinji Kume. The network helps show where Shinji Kume may publish in the future.
Co-authorship network of co-authors of Shinji Kume
This figure shows the co-authorship network connecting the top 25 collaborators of Shinji Kume. A scholar is included among the top collaborators of Shinji Kume 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 Shinji Kume. Shinji Kume is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 24 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | SGLT2 Inhibition Mediates Protection from Diabetic Kidney Disease by Promoting Ketone Body-Induced mTORC1 Inhibitionbreakdown → | 267 |
| 9 | 20 | |
| 10 | 40 | |
| 11 | 24 | |
| 12 | 182 | |
| 13 | 5 | |
| 14 | 14 | |
| 15 | 69 | |
| 16 | 1 | |
| 17 | 300 | |
| 18 | 0 | |
| 19 | 72 | |
| 20 | 6 |
About Shinji Kume
Shinji Kume is a scholar working on Nephrology, Geriatrics and Gerontology and Clinical Biochemistry, having authored 170 papers that have together received 6.9k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (22 papers), Autophagy in Disease and Therapy (22 papers) and Pancreatic function and diabetes (16 papers). The work is most often cited by research in Geriatrics and Gerontology (1.0k citations), Nephrology (1.4k citations) and Clinical Biochemistry (592 citations). Shinji Kume has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Daisuke Koya, Takashi Uzu, Shin‐ichi Araki, Hiroshi Maegawa, Masakazu Haneda, Masami Chin‒Kanasaki, Keiji Isshiki, Atsunori Kashiwagi, Munehiro Kitada and Toshiro Sugimoto. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Geophysical Research Atmospheres.
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.