Tsuyoshi Kadomatsu
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology top 10%
- Cancer Research top 2%
- Epidemiology top 10%
- Physiology top 10%
- Co-authors
- Yuichi OikeKeishi MiyataMotoyoshi EndoHaruki HoriguchiKazutoyo TeradaMitsuhisa TabataJun MorinagaKimi Araki
- Topics
- Lipid metabolism and disorders (43 papers)Cancer, Hypoxia, and Metabolism (22 papers)Cancer-related molecular mechanisms research (16 papers)
- Cited by
- Cancer ResearchCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- JapanUnited StatesPoland
In The Last Decade
Tsuyoshi Kadomatsu
57 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 94
- Cardiology and Cardiovascular Medicine 916
- Molecular Biology 809
- Cancer Research 704
- Epidemiology 282
- Physiology 255
Countries citing papers authored by Tsuyoshi Kadomatsu
This map shows the geographic impact of Tsuyoshi Kadomatsu'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 Tsuyoshi Kadomatsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuyoshi Kadomatsu more than expected).
Fields of papers citing papers by Tsuyoshi Kadomatsu
This network shows the impact of papers produced by Tsuyoshi Kadomatsu. 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 Tsuyoshi Kadomatsu. The network helps show where Tsuyoshi Kadomatsu may publish in the future.
Co-authorship network of co-authors of Tsuyoshi Kadomatsu
This figure shows the co-authorship network connecting the top 25 collaborators of Tsuyoshi Kadomatsu. A scholar is included among the top collaborators of Tsuyoshi Kadomatsu 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 Tsuyoshi Kadomatsu. Tsuyoshi Kadomatsu 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 | 2 | |
| 3 | 2 | |
| 4 | 22 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 13 | |
| 8 | 29 | |
| 9 | 48 | |
| 10 | 14 | |
| 11 | 42 | |
| 12 | 52 | |
| 13 | 66 | |
| 14 | 10 | |
| 15 | 34 | |
| 16 | 113 | |
| 17 | 121 | |
| 18 | 78 | |
| 19 | 108 | |
| 20 | 35 |
About Tsuyoshi Kadomatsu
Tsuyoshi Kadomatsu is a scholar working on Cancer Research, Cardiology and Cardiovascular Medicine and Aging, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include Lipid metabolism and disorders (43 papers), Cancer, Hypoxia, and Metabolism (22 papers) and Cancer-related molecular mechanisms research (16 papers). The work is most often cited by research in Cancer Research (704 citations), Cardiology and Cardiovascular Medicine (916 citations) and Endocrinology, Diabetes and Metabolism (239 citations). Tsuyoshi Kadomatsu has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Yuichi Oike, Keishi Miyata, Motoyoshi Endo, Haruki Horiguchi, Kazutoyo Terada, Mitsuhisa Tabata, Jun Morinaga, Kimi Araki, Hiroshi Mizuta and Masato Yano. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Genes & Development.
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.