Masato Ishigami
- Surgery top 2%
- Epidemiology top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Shizuya YamashitaYūji MatsuzawaNaohiko SakaiKen‐ichi HiranoMakoto NishidaShinji KiharaAkifumi MatsuyamaTohru Funahashi
- Topics
- Lipoproteins and Cardiovascular Health (30 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (26 papers)Peroxisome Proliferator-Activated Receptors (17 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Masato Ishigami
68 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Surgery 1.6k
- Epidemiology 1.5k
- Endocrinology, Diabetes and Metabolism 1.2k
- Molecular Biology 1.1k
- Cardiology and Cardiovascular Medicine 1.0k
Countries citing papers authored by Masato Ishigami
This map shows the geographic impact of Masato Ishigami'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 Masato Ishigami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masato Ishigami more than expected).
Fields of papers citing papers by Masato Ishigami
This network shows the impact of papers produced by Masato Ishigami. 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 Masato Ishigami. The network helps show where Masato Ishigami may publish in the future.
Co-authorship network of co-authors of Masato Ishigami
This figure shows the co-authorship network connecting the top 25 collaborators of Masato Ishigami. A scholar is included among the top collaborators of Masato Ishigami 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 Masato Ishigami. Masato Ishigami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 8 | |
| 3 | 8 | |
| 4 | 37 | |
| 5 | 15 | |
| 6 | 48 | |
| 7 | 40 | |
| 8 | 31 | |
| 9 | 76 | |
| 10 | 87 | |
| 11 | 12 | |
| 12 | 109 | |
| 13 | 126 | |
| 14 | 115 | |
| 15 | Measurement of Cholesterol Efflux from Monocyte-Derived Macrophages of Patients with Llpid Disorders and Atherosclerotic Cardiovascular Diseases | 1 |
| 16 | 71 | |
| 17 | 60 | |
| 18 | 48 | |
| 19 | 6 | |
| 20 | 273 |
About Masato Ishigami
Masato Ishigami is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research, having authored 70 papers that have together received 4.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (30 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (26 papers) and Peroxisome Proliferator-Activated Receptors (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Cardiology and Cardiovascular Medicine (1.0k citations) and Epidemiology (1.5k citations). Masato Ishigami has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shizuya Yamashita, Yūji Matsuzawa, Naohiko Sakai, Ken‐ichi Hirano, Makoto Nishida, Shinji Kihara, Akifumi Matsuyama, Tohru Funahashi, Kaoru Kameda-Takemura and Hiroshi Kuriyama. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
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.