Tomoshige Hayashi
- Endocrinology, Diabetes and Metabolism top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Epidemiology top 5%
- Physiology top 5%
- Public Health, Environmental and Occupational Health top 2%
- Co-authors
- Wilfred Y. FujimotoEdward J. BoykoGinji EndoDonna L. LeonettiSteven E. KahnMarguerite J. McNeelyKei TsumuraKyoko Satō
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (25 papers)Liver Disease Diagnosis and Treatment (17 papers)Alcohol Consumption and Health Effects (11 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Tomoshige Hayashi
72 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 124
- Endocrinology, Diabetes and Metabolism 1.1k
- Cardiology and Cardiovascular Medicine 1.0k
- Epidemiology 896
- Physiology 756
- Public Health, Environmental and Occupational Health 606
Countries citing papers authored by Tomoshige Hayashi
This map shows the geographic impact of Tomoshige Hayashi'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 Tomoshige Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoshige Hayashi more than expected).
Fields of papers citing papers by Tomoshige Hayashi
This network shows the impact of papers produced by Tomoshige Hayashi. 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 Tomoshige Hayashi. The network helps show where Tomoshige Hayashi may publish in the future.
Co-authorship network of co-authors of Tomoshige Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoshige Hayashi. A scholar is included among the top collaborators of Tomoshige Hayashi 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 Tomoshige Hayashi. Tomoshige Hayashi 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 | 1 | |
| 3 | 28 | |
| 4 | 3 | |
| 5 | 28 | |
| 6 | 59 | |
| 7 | 9 | |
| 8 | 44 | |
| 9 | 44 | |
| 10 | 3 | |
| 11 | 10 | |
| 12 | 34 | |
| 13 | 168 | |
| 14 | 9 | |
| 15 | 4 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 30 | |
| 19 | 15 | |
| 20 | 52 |
About Tomoshige Hayashi
Tomoshige Hayashi is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Cardiology and Cardiovascular Medicine, having authored 73 papers that have together received 3.4k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (25 papers), Liver Disease Diagnosis and Treatment (17 papers) and Alcohol Consumption and Health Effects (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Nephrology (473 citations) and Cardiology and Cardiovascular Medicine (1.0k citations). Tomoshige Hayashi has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Wilfred Y. Fujimoto, Edward J. Boyko, Ginji Endo, Donna L. Leonetti, Steven E. Kahn, Marguerite J. McNeely, Kei Tsumura, Kyoko Satō, Satoru Fujii and Kunio Okada. Their work appears in journals such as Circulation, Annals of Internal Medicine and Journal of the American College of Cardiology.
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.