Kensuke Sakuma
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
Papers in
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- Receptor Mechanisms and Signaling 4
- Pluripotent Stem Cells Research 2
- Surgery 5
- Pancreatic function and diabetes 5
- Co-authors
- Hidetoshi Komatsu (5 shared papers)Yugo Habata (4 shared papers)M. Mori (4 shared papers)Minoru Maruyama (4 shared papers)Yoshiyuki Tsujihata (2 shared papers)Chiori Yabuki (2 shared papers)Koji Takeuchi (2 shared papers)Ryo Ito (4 shared papers)
- Journals
- PLoS ONE (3 papers)Scientific Reports (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Pharmacology Research & Perspectives (1 paper)Stem Cell Research & Therapy (1 paper)
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Kensuke Sakuma
10 papers receiving 310 citations
Peers
Comparison fields: 5 of 62
- Aging 62
- Cellular and Molecular Neuroscience 107
- Endocrine and Autonomic Systems 35
- Endocrinology, Diabetes and Metabolism 57
- Molecular Biology 231
Countries citing papers authored by Kensuke Sakuma
This map shows the geographic impact of Kensuke Sakuma'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 Kensuke Sakuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kensuke Sakuma more than expected).
Fields of papers citing papers by Kensuke Sakuma
This network shows the impact of papers produced by Kensuke Sakuma. 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 Kensuke Sakuma. The network helps show where Kensuke Sakuma may publish in the future.
Co-authors
The 25 scholars most cited alongside Kensuke Sakuma, 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 | 2013 | 78 | |
| 2 | 2012 | 76 | |
| 3 | 2014 | 59 | |
| 4 | 2017 | 25 | |
| 5 | 2015 | 24 | |
| 6 | 2016 | 24 | |
| 7 | 2022 | 10 | |
| 8 | 2017 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2024 | 3 |
About Kensuke Sakuma
Kensuke Sakuma is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Genetics, having authored 10 papers that have together received 316 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Receptor Mechanisms and Signaling (4 papers), Diabetes Treatment and Management (3 papers), Neuropeptides and Animal Physiology (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Pluripotent Stem Cells Research (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Aging (62 citations), Cellular and Molecular Neuroscience (107 citations), Endocrine and Autonomic Systems (35 citations), Endocrinology, Diabetes and Metabolism (57 citations) and Molecular Biology (231 citations). Kensuke Sakuma has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Hidetoshi Komatsu, Yugo Habata, M. Mori, Minoru Maruyama, Yoshiyuki Tsujihata, Chiori Yabuki, Koji Takeuchi, Ryo Ito, Naoya Kikuchi and Sachiko Imaichi. Their work appears in journals such as PLoS ONE, Scientific Reports, Journal of Pharmacology and Experimental Therapeutics, Pharmacology Research & Perspectives and Stem Cell Research & Therapy.
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.