Chul Ahn
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- Cardiovascular Function and Risk Factors 30
- Blood Pressure and Hypertension Studies 26
- Heart Failure Treatment and Management 18
- Pulmonary and Respiratory Medicine top 0.5%
- Oncology top 1%
- Colorectal Cancer Screening and Detection 26
- Rheumatology top 0.5%
- Pathology and Forensic Medicine top 0.5%
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- Statistical Methods in Clinical Trials 51
- Statistical Methods and Bayesian Inference 47
- Statistical Methods and Inference 25
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- Cardiac Imaging and Diagnostics 19
- Co-authors
- Wilbert S. AronowItzhak KronzonJohn D. ReveilleFrank C. ArnettHal GutsteinRobert TimmermanSin‐Ho JungPuneeth Iyengar
- Journals
- The American Journal of Cardiology (53 papers)Journal of Clinical Oncology (23 papers)International Journal of Radiation Oncology*Biology*Physics (18 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Chul Ahn
457 papers receiving 13.8k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Cardiology and Cardiovascular Medicine 3.6k
- Pulmonary and Respiratory Medicine 3.4k
- Oncology 2.4k
- Rheumatology 1.2k
- Pathology and Forensic Medicine 1.4k
Countries citing papers authored by Chul Ahn
This map shows the geographic impact of Chul Ahn'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 Chul Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chul Ahn more than expected).
Fields of papers citing papers by Chul Ahn
This network shows the impact of papers produced by Chul Ahn. 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 Chul Ahn. The network helps show where Chul Ahn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chul Ahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 27 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 20 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 7 | |
| 13 | 2019 | 46 | |
| 14 | 2016 | 13 | |
| 15 | 2016 | 13 | |
| 16 | 2013 | 49 | |
| 17 | 2010 | 14 | |
| 18 | 2010 | 20 | |
| 19 | 2009 | 26 | |
| 20 | 1998 | 5 |
About Chul Ahn
Chul Ahn is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 470 papers that have together received 14.3k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (51 papers), Statistical Methods and Bayesian Inference (47 papers), Cardiovascular Function and Risk Factors (30 papers), Blood Pressure and Hypertension Studies (26 papers), Colorectal Cancer Screening and Detection (26 papers), Statistical Methods and Inference (25 papers), Cardiac Imaging and Diagnostics (19 papers) and Heart Failure Treatment and Management (18 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.6k citations), Pulmonary and Respiratory Medicine (3.4k citations) and Oncology (2.4k citations). Chul Ahn has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Wilbert S. Aronow, Itzhak Kronzon, Wilbert S. Aronow, Wilbert S. Aronow, John D. Reveille, Frank C. Arnett, Hal Gutstein, Robert Timmerman, Sin‐Ho Jung and Puneeth Iyengar. Their work appears in journals such as The American Journal of Cardiology, Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, Statistics in Medicine and Drug Information Journal.
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.