Meehyung Cho
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- Diabetes, Cardiovascular Risks, and Lipoproteins 2
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism 4
- Surgery top 5%
- Lipoproteins and Cardiovascular Health 5
- Geriatrics and Gerontology top 10%
- Economics and Econometrics top 5%
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- Statistical Methods and Bayesian Inference 5
- Statistical Methods and Inference 5
- Statistical Methods in Clinical Trials 3
- Advanced Statistical Methods and Models 3
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- Bayesian Methods and Mixture Models 2
- Co-authors
- Barry GumbinerClaude GagnéPedro MataMichael MelinoHarold BaysStuart WeissRobert E. WeissAmy O. Johnson‐Levonas
- Journals
- The American Journal of Cardiology (2 papers)Journal of the American Statistical Association (2 papers)Canadian Journal of Statistics (1 paper)
- Partner nations
- United StatesSpainCanada
In The Last Decade
Meehyung Cho
14 papers receiving 742 citations
Peers
Comparison fields: 5 of 94
- Endocrinology, Diabetes and Metabolism 238
- Cancer Research 202
- Surgery 573
- Geriatrics and Gerontology 46
- Economics and Econometrics 199
Countries citing papers authored by Meehyung Cho
This map shows the geographic impact of Meehyung 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 Meehyung Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meehyung Cho more than expected).
Fields of papers citing papers by Meehyung Cho
This network shows the impact of papers produced by Meehyung 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 Meehyung Cho. The network helps show where Meehyung Cho may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Meehyung Cho, 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 | 2023 | 4 | |
| 2 | 2017 | 1 | |
| 3 | 2005 | 56 | |
| 4 | 2005 | 79 | |
| 5 | 2004 | 110 | |
| 6 | 2002 | 9 | |
| 7 | 2002 | 389 | |
| 8 | 2001 | 8 | |
| 9 | 1999 | 13 | |
| 10 | 1999 | 6 | |
| 11 | 1998 | 82 | |
| 12 | 1998 | 13 | |
| 13 | 1998 | 35 | |
| 14 | 1998 | 2 |
About Meehyung Cho
Meehyung Cho is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Cancer Research, having authored 14 papers that have together received 807 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Cancer, Lipids, and Metabolism (4 papers), Statistical Methods in Clinical Trials (3 papers), Advanced Statistical Methods and Models (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (238 citations), Cancer Research (202 citations) and Surgery (573 citations). Meehyung Cho has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Barry Gumbiner, Claude Gagné, Pedro Mata, Michael Melino, Harold Bays, Stuart Weiss, Robert E. Weiss, Amy O. Johnson‐Levonas, Cathy Alessi and Eric T. Bradlow. Their work appears in journals such as The American Journal of Cardiology, Journal of the American Statistical Association, Canadian Journal of Statistics, Journal of the American Geriatrics Society and PEDIATRICS.
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.