Gen Yoshino
- Endocrinology, Diabetes and Metabolism top 0.5%
- Physiology top 1%
- Surgery top 2%
- Epidemiology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Tsutomu HiranoTsutomu KazumiMitsuru AdachiAkira T. KawaguchiTakuya YokoeKenji MinoguchiHideko MinoguchiHirofumi Matsuo
- Topics
- Lipoproteins and Cardiovascular Health (40 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (40 papers)Cancer, Lipids, and Metabolism (16 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaBlood
- Partner nations
- JapanChinaUnited States
In The Last Decade
Gen Yoshino
164 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Endocrinology, Diabetes and Metabolism 1.4k
- Physiology 1.3k
- Surgery 1.2k
- Epidemiology 863
- Cardiology and Cardiovascular Medicine 785
Countries citing papers authored by Gen Yoshino
This map shows the geographic impact of Gen Yoshino'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 Gen Yoshino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gen Yoshino more than expected).
Fields of papers citing papers by Gen Yoshino
This network shows the impact of papers produced by Gen Yoshino. 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 Gen Yoshino. The network helps show where Gen Yoshino may publish in the future.
Co-authorship network of co-authors of Gen Yoshino
This figure shows the co-authorship network connecting the top 25 collaborators of Gen Yoshino. A scholar is included among the top collaborators of Gen Yoshino 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 Gen Yoshino. Gen Yoshino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 38 | |
| 4 | 32 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 36 | |
| 9 | 47 | |
| 10 | 10 | |
| 11 | 50 | |
| 12 | 7 | |
| 13 | 60 | |
| 14 | 7 | |
| 15 | 11 | |
| 16 | 32 | |
| 17 | 5 | |
| 18 | Effects of gamma-oryzanol on hyperlipidemic subjects | 32 |
| 19 | Familial Hypercholesterolemia Associated with a High Prevalence of Obesity, Glucose Intolerance, and Atherosclerotic Vascular Disease | 1 |
| 20 | 15 |
About Gen Yoshino
Gen Yoshino is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research, having authored 168 papers that have together received 4.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (40 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (40 papers) and Cancer, Lipids, and Metabolism (16 papers). The work is most often cited by research in Endocrine and Autonomic Systems (692 citations), Endocrinology, Diabetes and Metabolism (1.4k citations) and Physiology (1.3k citations). Gen Yoshino has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Tsutomu Hirano, Tsutomu Kazumi, Mitsuru Adachi, Akira T. Kawaguchi, Takuya Yokoe, Kenji Minoguchi, Hideko Minoguchi, Hirofumi Matsuo, Naruhito Oda and Yasuki Ito. 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.