John K. Chae
Impact in
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- COVID-19 epidemiological studies
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- Heart Failure Treatment and Management
- Acute Myocardial Infarction Research
Papers in
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- Spinal Dysraphism and Malformations 6
- Surgery 4
- Co-authors
- Jeffrey P. Greenfield (10 shared papers)Graham Winston (4 shared papers)Ryan E. Radwanski (1 shared paper)Dmitriy N. Feldman (3 shared papers)Sergio W. Guadix (1 shared paper)Iyan Younus (1 shared paper)Luke K. Kim (3 shared papers)Jim W. Cheung (3 shared papers)
- Journals
- World Neurosurgery (5 papers)Journal of Stroke and Cerebrovascular Diseases (2 papers)Public Health (1 paper)Medical Education Online (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
John K. Chae
20 papers receiving 259 citations
Peers
Comparison fields: 5 of 56
- Modeling and Simulation 12
- Cardiology and Cardiovascular Medicine 50
- Public Health, Environmental and Occupational Health 53
- General Dentistry 3
- Hepatology 13
Countries citing papers authored by John K. Chae
This map shows the geographic impact of John K. Chae'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 John K. Chae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John K. Chae more than expected).
Fields of papers citing papers by John K. Chae
This network shows the impact of papers produced by John K. Chae. 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 John K. Chae. The network helps show where John K. Chae may publish in the future.
Co-authors
The 25 scholars most cited alongside John K. Chae, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 68 | |
| 2 | 2018 | 57 | |
| 3 | 2021 | 39 | |
| 4 | 2020 | 17 | |
| 5 | 2019 | 12 | |
| 6 | 2020 | 11 | |
| 7 | 2020 | 7 | |
| 8 | 2021 | 7 | |
| 9 | 2023 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2021 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2021 | 1 |
About John K. Chae
John K. Chae is a scholar working on Public Health, Environmental and Occupational Health, Surgery, Neurology, Cardiology and Cardiovascular Medicine and General Health Professions, having authored 22 papers that have together received 262 indexed citations. Recurring topics across this work include Spinal Dysraphism and Malformations (6 papers), Heart Failure Treatment and Management (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper), Liver Disease and Transplantation (1 paper), COVID-19 epidemiological studies (1 paper), COVID-19 and healthcare impacts (1 paper), Neurosurgical Procedures and Complications (1 paper) and Empathy and Medical Education (1 paper). The work is most often cited by research in Modeling and Simulation (12 citations), Cardiology and Cardiovascular Medicine (50 citations), Public Health, Environmental and Occupational Health (53 citations), General Dentistry (3 citations) and Hepatology (13 citations). John K. Chae has collaborated with scholars based in United States and Italy. Frequent co-authors include Jeffrey P. Greenfield, Graham Winston, Ryan E. Radwanski, Dmitriy N. Feldman, Sergio W. Guadix, Iyan Younus, Luke K. Kim, Jim W. Cheung, Justin Chen and Susan C. Pannullo. Their work appears in journals such as World Neurosurgery, Journal of Stroke and Cerebrovascular Diseases, Public Health, Medical Education Online and PLoS ONE.
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.