Kotoko Kosuge
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Molecular Biology
- Genetics
- Pharmacology
- Co-authors
- Masayoshi SomaNoriko AoiTomohiro NakayamaMikano SatoKoichí MatsumotoShinichiro KokubunKatsuo KanmatsuseDolkun Rahmutula
- Topics
- Hormonal Regulation and Hypertension (7 papers)Heart Failure Treatment and Management (5 papers)Renin-Angiotensin System Studies (5 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsAmerican Heart JournalJournal of Hypertension
- Partner nations
- JapanUnited States
In The Last Decade
Kotoko Kosuge
19 papers receiving 353 citations
Peers
Comparison fields: 5 of 58
- Endocrinology, Diabetes and Metabolism 120
- Cardiology and Cardiovascular Medicine 116
- Molecular Biology 97
- Genetics 62
- Pharmacology 54
Countries citing papers authored by Kotoko Kosuge
This map shows the geographic impact of Kotoko Kosuge'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 Kotoko Kosuge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kotoko Kosuge more than expected).
Fields of papers citing papers by Kotoko Kosuge
This network shows the impact of papers produced by Kotoko Kosuge. 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 Kotoko Kosuge. The network helps show where Kotoko Kosuge may publish in the future.
Co-authorship network of co-authors of Kotoko Kosuge
This figure shows the co-authorship network connecting the top 25 collaborators of Kotoko Kosuge. A scholar is included among the top collaborators of Kotoko Kosuge 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 Kotoko Kosuge. Kotoko Kosuge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 29 | |
| 4 | 11 | |
| 5 | 6 | |
| 6 | 20 | |
| 7 | 11 | |
| 8 | 12 | |
| 9 | 25 | |
| 10 | 17 | |
| 11 | 26 | |
| 12 | 29 | |
| 13 | 14 | |
| 14 | Missense mutation of exon 3 in the type A human natriuretic peptide receptor gene is associated with myocardial infarction. | 17 |
| 15 | 39 | |
| 16 | 14 | |
| 17 | 30 | |
| 18 | 31 | |
| 19 | 14 | |
| 20 | 11 |
About Kotoko Kosuge
Kotoko Kosuge is a scholar working on Endocrinology, Diabetes and Metabolism, Aging and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 365 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (7 papers), Heart Failure Treatment and Management (5 papers) and Renin-Angiotensin System Studies (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (120 citations), Biochemistry (44 citations) and Cardiology and Cardiovascular Medicine (116 citations). Kotoko Kosuge has collaborated with scholars based in Japan and United States. Frequent co-authors include Masayoshi Soma, Noriko Aoi, Tomohiro Nakayama, Mikano Sato, Koichí Matsumoto, Shinichiro Kokubun, Katsuo Kanmatsuse, Dolkun Rahmutula, Yoichi Izumi and Junko Honye. Their work appears in journals such as Biochemical and Biophysical Research Communications, American Heart Journal and Journal of Hypertension.
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.