Masayuki Kato
- Surgery top 10%
- Public Health, Environmental and Occupational Health top 5%
- Pulmonary and Respiratory Medicine top 10%
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Mitsuhiko NodaTetsuya MizoueManami InoueShoichiro TsuganeYoshihiko TakahashiAkiko NanriMasayuki ImamuraHisao Tajiri
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers)Diabetes Management and Research (8 papers)Nutritional Studies and Diet (7 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaBlood
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Masayuki Kato
49 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 116
- Surgery 353
- Public Health, Environmental and Occupational Health 279
- Pulmonary and Respiratory Medicine 273
- Physiology 209
- Endocrinology, Diabetes and Metabolism 201
Countries citing papers authored by Masayuki Kato
This map shows the geographic impact of Masayuki Kato'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 Masayuki Kato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Kato more than expected).
Fields of papers citing papers by Masayuki Kato
This network shows the impact of papers produced by Masayuki Kato. 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 Masayuki Kato. The network helps show where Masayuki Kato may publish in the future.
Co-authorship network of co-authors of Masayuki Kato
This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Kato. A scholar is included among the top collaborators of Masayuki Kato 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 Masayuki Kato. Masayuki Kato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 18 | |
| 7 | 7 | |
| 8 | 25 | |
| 9 | 47 | |
| 10 | 10 | |
| 11 | 12 | |
| 12 | 44 | |
| 13 | First human trial of KW39 slotted-tube stents: for percutaneous coronary intervention. | 2 |
| 14 | 2 | |
| 15 | 48 | |
| 16 | 129 | |
| 17 | 0 | |
| 18 | Comparisons between anthropometric indices for predicting the metabolic syndrome in Japanese. | 13 |
| 19 | 25 | |
| 20 | 97 |
About Masayuki Kato
Masayuki Kato is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Pulmonary and Respiratory Medicine, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Diabetes Management and Research (8 papers) and Nutritional Studies and Diet (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (201 citations), Gastroenterology (66 citations) and Nephrology (83 citations). Masayuki Kato has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Mitsuhiko Noda, Tetsuya Mizoue, Manami Inoue, Shoichiro Tsugane, Yoshihiko Takahashi, Akiko Nanri, Masayuki Imamura, Hisao Tajiri, Mitsuru Kaise and Masaharu Furutani. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Blood.
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.