Jin‐Sin Koh
- Cardiology and Cardiovascular Medicine top 5%
- Surgery
- Radiology, Nuclear Medicine and Imaging top 10%
- Internal Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Jin‐Yong HwangYoung‐Hoon JeongYongwhi ParkSeok‐Jae HwangChoong Hwan KwakIn‐Suk KimMin-Kyung KangMin Gyu Kang
- Topics
- Antiplatelet Therapy and Cardiovascular Diseases (29 papers)Acute Myocardial Infarction Research (21 papers)Venous Thromboembolism Diagnosis and Management (17 papers)
- Cited by
- Internal MedicineCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Journals
- CirculationSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Jin‐Sin Koh
63 papers receiving 643 citations
Peers
Comparison fields: 5 of 63
- Cardiology and Cardiovascular Medicine 486
- Surgery 235
- Radiology, Nuclear Medicine and Imaging 119
- Internal Medicine 113
- Endocrinology, Diabetes and Metabolism 104
Countries citing papers authored by Jin‐Sin Koh
This map shows the geographic impact of Jin‐Sin Koh'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 Jin‐Sin Koh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Sin Koh more than expected).
Fields of papers citing papers by Jin‐Sin Koh
This network shows the impact of papers produced by Jin‐Sin Koh. 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 Jin‐Sin Koh. The network helps show where Jin‐Sin Koh may publish in the future.
Co-authorship network of co-authors of Jin‐Sin Koh
This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Sin Koh. A scholar is included among the top collaborators of Jin‐Sin Koh 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 Jin‐Sin Koh. Jin‐Sin Koh 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 | 4 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 25 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 15 | |
| 12 | 24 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | Abstract 20526: Bleeding Episode Predicts the Occurrence of Dyspnea During Ticagrelor Treatment in Patients With Acute Coronary Syndrome | 1 |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 34 | |
| 19 | 15 | |
| 20 | 61 |
About Jin‐Sin Koh
Jin‐Sin Koh is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Surgery, having authored 74 papers that have together received 651 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (29 papers), Acute Myocardial Infarction Research (21 papers) and Venous Thromboembolism Diagnosis and Management (17 papers). The work is most often cited by research in Internal Medicine (113 citations), Cardiology and Cardiovascular Medicine (486 citations) and Endocrinology, Diabetes and Metabolism (104 citations). Jin‐Sin Koh has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Jin‐Yong Hwang, Young‐Hoon Jeong, Yongwhi Park, Seok‐Jae Hwang, Choong Hwan Kwak, In‐Suk Kim, Min-Kyung Kang, Min Gyu Kang, Kyehwan Kim and Hyun Woong Park. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología 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.