Jaehyeong Cho
- Cardiology and Cardiovascular Medicine
- Surgery
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Seng Chan YouRae Woong ParkKeiji YanaiGeorge HripcsakTakumi EgeYeunsook RhoMarc A. SuchardChristian Reich
- Topics
- Generative Adversarial Networks and Image Synthesis (4 papers)Antiplatelet Therapy and Cardiovascular Diseases (3 papers)Advanced Image and Video Retrieval Techniques (3 papers)
- Journals
- JAMAScientific ReportsOphthalmology
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jaehyeong Cho
24 papers receiving 269 citations
Peers
Comparison fields: 5 of 81
- Cardiology and Cardiovascular Medicine 82
- Surgery 66
- Molecular Biology 31
- Public Health, Environmental and Occupational Health 31
- Endocrinology, Diabetes and Metabolism 28
Countries citing papers authored by Jaehyeong Cho
This map shows the geographic impact of Jaehyeong Cho'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 Jaehyeong Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaehyeong Cho more than expected).
Fields of papers citing papers by Jaehyeong Cho
This network shows the impact of papers produced by Jaehyeong Cho. 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 Jaehyeong Cho. The network helps show where Jaehyeong Cho may publish in the future.
Co-authorship network of co-authors of Jaehyeong Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Jaehyeong Cho. A scholar is included among the top collaborators of Jaehyeong Cho 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 Jaehyeong Cho. Jaehyeong Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 2 | |
| 16 | 12 | |
| 17 | 7 | |
| 18 | 9 | |
| 19 | 12 | |
| 20 | 15 |
About Jaehyeong Cho
Jaehyeong Cho is a scholar working on Toxicology, Neuropsychology and Physiological Psychology and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 270 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Internal Medicine (24 citations), Cardiology and Cardiovascular Medicine (82 citations) and Health Information Management (12 citations). Jaehyeong Cho has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Seng Chan You, Rae Woong Park, Keiji Yanai, George Hripcsak, Takumi Ege, Yeunsook Rho, Marc A. Suchard, Christian Reich, Martijn J. Schuemie and Jimyung Park. Their work appears in journals such as JAMA, Scientific Reports and Ophthalmology.
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.