Shinji Kume
- Geriatrics and Gerontology top 0.2%
- Sirtuins and Resveratrol in Medicine 12
- Nephrology top 0.2%
- Chronic Kidney Disease and Diabetes 22
- Clinical Biochemistry top 0.5%
- Aging top 2%
- Physiology top 1%
- Diet and metabolism studies 13
- Adipose Tissue and Metabolism 13
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- Autophagy in Disease and Therapy 22
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- Pancreatic function and diabetes 16
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- Diet, Metabolism, and Disease 13
- Diabetes Treatment and Management 13
- Co-authors
- Daisuke KoyaTakashi UzuShin‐ichi ArakiHiroshi MaegawaMasakazu HanedaMasami Chin‒KanasakiKeiji IsshikiAtsunori Kashiwagi
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Clinical Investigation (1 paper)Journal of Geophysical Research Atmospheres (3 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Shinji Kume
158 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Geriatrics and Gerontology 1.0k
- Nephrology 1.4k
- Clinical Biochemistry 592
- Aging 139
- Physiology 304
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
The 25 scholars most cited alongside Shinji Kume, 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 | 2024 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 24 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2021 | 4 | |
| 8 | SGLT2 Inhibition Mediates Protection from Diabetic Kidney Disease by Promoting Ketone Body-Induced mTORC1 Inhibitionbreakdown → | 2020 | 267 |
| 9 | 2020 | 20 | |
| 10 | 2018 | 40 | |
| 11 | 2016 | 24 | |
| 12 | 2013 | 182 | |
| 13 | 2011 | 5 | |
| 14 | 2011 | 14 | |
| 15 | 2010 | 69 | |
| 16 | 2010 | 1 | |
| 17 | 2009 | 300 | |
| 18 | 2008 | 0 | |
| 19 | 2008 | 72 | |
| 20 | 2007 | 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), Pancreatic function and diabetes (16 papers), Diet and metabolism studies (13 papers), Diet, Metabolism, and Disease (13 papers), Adipose Tissue and Metabolism (13 papers), Diabetes Treatment and Management (13 papers) and Sirtuins and Resveratrol in Medicine (12 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.