Kelly Cho
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 5%
- Co-authors
- David GagnonYuk‐Lam HoPeter W.F. WilsonJane A. DriverJ. Michael GazianoJason L. VassyAriela R. OrkabyRebecca J. Song
- Topics
- Nutritional Studies and Diet (18 papers)Genetic Associations and Epidemiology (18 papers)Cardiovascular Health and Risk Factors (13 papers)
- Cited by
- Geriatrics and GerontologyEndocrinology, Diabetes and MetabolismCardiology and Cardiovascular Medicine
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Kelly Cho
128 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Cardiology and Cardiovascular Medicine 546
- Molecular Biology 488
- Surgery 435
- Endocrinology, Diabetes and Metabolism 419
- Physiology 395
Countries citing papers authored by Kelly Cho
This map shows the geographic impact of Kelly 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 Kelly Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kelly Cho more than expected).
Fields of papers citing papers by Kelly Cho
This network shows the impact of papers produced by Kelly 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 Kelly Cho. The network helps show where Kelly Cho may publish in the future.
Co-authorship network of co-authors of Kelly Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Kelly Cho. A scholar is included among the top collaborators of Kelly 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 Kelly Cho. Kelly 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 | 10 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 9 | |
| 8 | 7 | |
| 9 | 21 | |
| 10 | 3 | |
| 11 | 32 | |
| 12 | 108 | |
| 13 | 21 | |
| 14 | 150 | |
| 15 | 6 | |
| 16 | 10 | |
| 17 | 5 | |
| 18 | Genetics of blood lipids among similar to 300,000 multi-ethnic participants of the Million Veteran Program | 0 |
| 19 | 124 | |
| 20 | Abstract 18809: Development of an Electronic Health Record-Based Algorithm for Smoking Status Using the Million Veteran Program (MVP) Cohort Survey Response | 9 |
About Kelly Cho
Kelly Cho is a scholar working on Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health, having authored 137 papers that have together received 2.9k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (18 papers), Genetic Associations and Epidemiology (18 papers) and Cardiovascular Health and Risk Factors (13 papers). The work is most often cited by research in Geriatrics and Gerontology (269 citations), Endocrinology, Diabetes and Metabolism (419 citations) and Cardiology and Cardiovascular Medicine (546 citations). Kelly Cho has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David Gagnon, Yuk‐Lam Ho, Peter W.F. Wilson, Jane A. Driver, J. Michael Gaziano, Jason L. Vassy, Ariela R. Orkaby, Rebecca J. Song, Sridharan Raghavan and Lawrence S. Phillips. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.
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.