Kiyoshi Yokoi
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Surgery
- Genetics top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Yoshiji YamadaKimihiko KatoYoshinori NozawaSachiro WatanabeKei SatohHidemi YoshidaTomonori SegawaNorifumi Metoki
- Topics
- Genetic Associations and Epidemiology (8 papers)Diabetes Treatment and Management (7 papers)Lipoproteins and Cardiovascular Health (6 papers)
- Cited by
- Clinical BiochemistryCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- JapanCzechiaSouth Korea
In The Last Decade
Kiyoshi Yokoi
62 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 541
- Cardiology and Cardiovascular Medicine 402
- Surgery 269
- Genetics 227
- Endocrinology, Diabetes and Metabolism 208
Countries citing papers authored by Kiyoshi Yokoi
This map shows the geographic impact of Kiyoshi Yokoi'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 Kiyoshi Yokoi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyoshi Yokoi more than expected).
Fields of papers citing papers by Kiyoshi Yokoi
This network shows the impact of papers produced by Kiyoshi Yokoi. 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 Kiyoshi Yokoi. The network helps show where Kiyoshi Yokoi may publish in the future.
Co-authorship network of co-authors of Kiyoshi Yokoi
This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Yokoi. A scholar is included among the top collaborators of Kiyoshi Yokoi 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 Kiyoshi Yokoi. Kiyoshi Yokoi 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 | 8 | |
| 3 | 22 | |
| 4 | 14 | |
| 5 | 5 | |
| 6 | 12 | |
| 7 | 3 | |
| 8 | 20 | |
| 9 | 32 | |
| 10 | 34 | |
| 11 | 16 | |
| 12 | 4 | |
| 13 | 20 | |
| 14 | 27 | |
| 15 | PE-502 Cardiac-specific Overexpression of ZAKI-4 β Attenuates LV Hypertrophy and Interstitial Fibrosis, but not Coronary Perivascular Fibrosis, Induced by Angiotensin II(Genetics/Genetically engineered models/Gene therapy-3, The 71st Annual Scientific Meeting of the Japanese Circulation Society) | 2 |
| 16 | 165 | |
| 17 | 126 | |
| 18 | 18 | |
| 19 | 27 | |
| 20 | 21 |
About Kiyoshi Yokoi
Kiyoshi Yokoi is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Clinical Biochemistry, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Diabetes Treatment and Management (7 papers) and Lipoproteins and Cardiovascular Health (6 papers). The work is most often cited by research in Clinical Biochemistry (134 citations), Cardiology and Cardiovascular Medicine (402 citations) and Endocrinology, Diabetes and Metabolism (208 citations). Kiyoshi Yokoi has collaborated with scholars based in Japan, Czechia and South Korea. Frequent co-authors include Yoshiji Yamada, Kimihiko Kato, Yoshinori Nozawa, Sachiro Watanabe, Kei Satoh, Hidemi Yoshida, Tomonori Segawa, Norifumi Metoki, Sahoko Ichihara and Hitoshi Matsuo. Their work appears in journals such as Stroke, European Heart Journal and The American Journal of Human Genetics.
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.