Kosuke Tsukamoto
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- Cholesterol and Lipid Metabolism 5
- Lipoproteins and Cardiovascular Health 2
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- Drug Transport and Resistance Mechanisms 4
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- Protein Kinase Regulation and GTPase Signaling 5
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- Endoplasmic Reticulum Stress and Disease 2
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- 3D IC and TSV technologies 2
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- Viral gastroenteritis research and epidemiology 1
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- Aortic Disease and Treatment Approaches 1
- Co-authors
- Ken‐ichi HiranoYūji MatsuzawaFumihiko MatsuuraShizuya YamashitaAkifumi MatsuyamaZhongyan ZhangTakeshi OhyaYumiko Nakagawa
- Cited by
- SurgeryOncologyCancer Research
- Journals
- Journal of Biological Chemistry (2 papers)Biochemical and Biophysical Research Communications (2 papers)Circulation Journal (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Kosuke Tsukamoto
18 papers receiving 432 citations
Peers
Comparison fields: 5 of 72
- Surgery 250
- Oncology 129
- Cancer Research 52
- Molecular Biology 237
- Biochemistry 22
Countries citing papers authored by Kosuke Tsukamoto
This map shows the geographic impact of Kosuke Tsukamoto'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 Kosuke Tsukamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kosuke Tsukamoto more than expected).
Fields of papers citing papers by Kosuke Tsukamoto
This network shows the impact of papers produced by Kosuke Tsukamoto. 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 Kosuke Tsukamoto. The network helps show where Kosuke Tsukamoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kosuke Tsukamoto, 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 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2019 | 4 | |
| 4 | 2018 | 5 | |
| 5 | 2017 | 3 | |
| 6 | 2013 | 5 | |
| 7 | 2013 | 13 | |
| 8 | 2013 | 40 | |
| 9 | 2012 | 2 | |
| 10 | 2010 | 23 | |
| 11 | 2006 | 18 | |
| 12 | 2005 | 13 | |
| 13 | 2005 | 1 | |
| 14 | Measurement of Cholesterol Efflux from Monocyte-Derived Macrophages of Patients with Llpid Disorders and Atherosclerotic Cardiovascular Diseases | 2003 | 1 |
| 15 | 2002 | 60 | |
| 16 | 2002 | 20 | |
| 17 | 2001 | 51 | |
| 18 | 2000 | 42 | |
| 19 | 1999 | 135 |
About Kosuke Tsukamoto
Kosuke Tsukamoto is a scholar working on Cell Biology, Human-Computer Interaction, Surgery, Endocrine and Autonomic Systems and Oncology, having authored 19 papers that have together received 438 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Cholesterol and Lipid Metabolism (5 papers), Drug Transport and Resistance Mechanisms (4 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Lipoproteins and Cardiovascular Health (2 papers), 3D IC and TSV technologies (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Aortic Disease and Treatment Approaches (1 paper). The work is most often cited by research in Surgery (250 citations), Oncology (129 citations), Cancer Research (52 citations), Molecular Biology (237 citations) and Biochemistry (22 citations). Kosuke Tsukamoto has collaborated with scholars based in Japan and United States. Frequent co-authors include Ken‐ichi Hirano, Yūji Matsuzawa, Fumihiko Matsuura, Shizuya Yamashita, Akifumi Matsuyama, Zhongyan Zhang, Takeshi Ohya, Yumiko Nakagawa, Chiaki Ikegami and Yoshihisa Okamoto. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Circulation Journal, Proceedings of the National Academy of Sciences and FEBS Letters.
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.