Kelly Cho
About
Kelly Cho is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Molecular Biology.
According to data from OpenAlex, Kelly Cho has authored 137 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cardiology and Cardiovascular Medicine, 27 papers in Public Health, Environmental and Occupational Health and 22 papers in Molecular Biology. Recurrent topics in Kelly Cho's work include Nutritional Studies and Diet (18 papers), Genetic Associations and Epidemiology (18 papers) and Cardiovascular Health and Risk Factors (13 papers). Kelly Cho is often cited by papers focused on Nutritional Studies and Diet (18 papers), Genetic Associations and Epidemiology (18 papers) and Cardiovascular Health and Risk Factors (13 papers). Kelly Cho collaborates with scholars based in United States, Australia and United Kingdom. Kelly Cho's 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 and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.
In The Last Decade
Kelly Cho
128 papers receiving 2.9k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Kelly Cho United States | 26 | 546 | 488 | 435 | 419 | 395 | 137 | 2.9k | ||
| Anders Sundström Sweden | 29 | 548 1.0× | 195 0.4× | 597 1.4× | 340 0.8× | 256 0.6× | 70 | 3.7k | ||
| Patrick C. Souverein Netherlands | 35 | 822 1.5× | 317 0.6× | 717 1.6× | 616 1.5× | 330 0.8× | 201 | 4.4k | ||
| Li Wei China | 24 | 527 1.0× | 288 0.6× | 270 0.6× | 311 0.7× | 182 0.5× | 94 | 2.6k | ||
| David J. Ramsey United States | 34 | 585 1.1× | 272 0.6× | 766 1.8× | 312 0.7× | 159 0.4× | 183 | 3.1k | ||
| Per Damkier Denmark | 34 | 259 0.5× | 683 1.4× | 669 1.5× | 417 1.0× | 187 0.5× | 182 | 4.2k | ||
| Cynthia Balion Canada | 26 | 838 1.5× | 638 1.3× | 330 0.8× | 651 1.6× | 424 1.1× | 54 | 3.2k | ||
| Axel C. Carlsson Sweden | 34 | 1.0k 1.8× | 390 0.8× | 388 0.9× | 558 1.3× | 446 1.1× | 224 | 3.9k | ||
| James Lovato United States | 37 | 230 0.4× | 320 0.7× | 628 1.4× | 331 0.8× | 346 0.9× | 97 | 3.7k | ||
| Alice C. Smith United Kingdom | 33 | 368 0.7× | 393 0.8× | 834 1.9× | 215 0.5× | 997 2.5× | 154 | 4.5k | ||
| David J. Graham United States | 33 | 1.6k 2.9× | 654 1.3× | 982 2.3× | 630 1.5× | 326 0.8× | 115 | 5.6k |
Countries citing papers authored by Kelly Cho
Since
Specialization
Citations
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
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
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
1.
Thibord, Florian, Jennifer E. Huffman, Natàlia Pujol‐Gualdo, et al.. (2025). Genome-wide meta-analysis of heavy menstrual bleeding reveals 36 risk loci. Blood. 146(6). 745–758.
2.
Wang, Biqi, Jacqueline S. Dron, Yuxuan Wang, et al.. (2024). Lipid levels and risk of acute pancreatitis using bidirectional Mendelian randomization. Scientific Reports. 14(1). 6267–6267.
3.
Sullivan, Brian A., Kelly Cho, Kerry L. Ivey, et al.. (2024). Recalibrating the Genetics and Epidemiology of Colorectal Cancer Consortium Environmental Risk Score for Use in US Veterans. Cancer Epidemiology Biomarkers & Prevention. 33(11). 1456–1464.
4.
Harrington, Kelly, Rachel Quaden, Lea Steele, et al.. (2024). The Million Veteran Program 1990–1991 Gulf War Era Survey: An Evaluation of Veteran Response, Characteristics, and Representativeness of the Gulf War Era Veteran Population. International Journal of Environmental Research and Public Health. 21(1). 72–72.
5.
Justice, Amy C., Benjamin H. McMahon, Ravi Madduri, et al.. (2024). A landmark federal interagency collaboration to promote data science in health care: Million Veteran Program-Computational Health Analytics for Medical Precision to Improve Outcomes Now. JAMIA Open. 7(4). ooae126–ooae126.
6.
Li, Yanping, Serena C. Houghton, Yuk‐Lam Ho, et al.. (2024). Cardiovascular Health Score and Atherosclerotic Cardiovascular Disease in the Million Veteran Program. JAMA Network Open. 7(12). e2447902–e2447902.
7.
Gerlovin, Hanna, Arin L. Madenci, James M. Robins, et al.. (2023). Comparison of the Test-negative Design and Cohort Design With Explicit Target Trial Emulation for Evaluating COVID-19 Vaccine Effectiveness. Epidemiology. 35(2). 137–149.
8.
Honerlaw, Jacqueline, Yuk‐Lam Ho, Michael T. Murray, et al.. (2023). Framework of the Centralized Interactive Phenomics Resource (CIPHER) standard for electronic health data-based phenomics knowledgebase. Journal of the American Medical Informatics Association. 30(5). 958–964.
9.
Dickerman, Barbra A., Hanna Gerlovin, Arin L. Madenci, et al.. (2023). Comparative effectiveness of third doses of mRNA-based COVID-19 vaccines in US veterans. Nature Microbiology. 8(1). 55–63.
10.
Hong, Chuan, Liang Liang, Qianyu Yuan, et al.. (2023). Semi-supervised calibration of noisy event risk (SCANER) with electronic health records. Journal of Biomedical Informatics. 144. 104425–104425.
11.
Joseph, Jacob, Chang Liu, Qin Hui, et al.. (2022). Genetic architecture of heart failure with preserved versus reduced ejection fraction. Nature Communications. 13(1).
12.
Stein, Murray B., Daniel F. Levey, Kelly Harrington, et al.. (2021). Genome-wide association analyses of post-traumatic stress disorder and its symptom subdomains in the Million Veteran Program. Nature Genetics. 53(2). 174–184.
13.
Ward, Rachel E., Xuan‐Mai T. Nguyen, Yanping Li, et al.. (2021). Racial and Ethnic Disparities in U.S. Veteran Health Characteristics. International Journal of Environmental Research and Public Health. 18(5). 2411–2411.
14.
Dickerman, Barbra A., Hanna Gerlovin, Arin L. Madenci, et al.. (2021). Comparative Effectiveness of BNT162b2 and mRNA-1273 Vaccines in U.S. Veterans. New England Journal of Medicine. 386(2). 105–115.
15.
Thom, Christopher S., Michael G. Levin, Scott M. Damrauer, et al.. (2020). Genetic determinants of increased body mass index mediate the effect of smoking on increased risk for type 2 diabetes but not coronary artery disease. Human Molecular Genetics. 29(19). 3327–3337.
16.
Small, Aeron, Jennifer E. Huffman, Derek Klarin, et al.. (2020). Mendelian Randomization Analysis of Hemostatic Factors and Their Contribution to Peripheral Artery Disease—Brief Report. Arteriosclerosis Thrombosis and Vascular Biology. 41(1). 380–386.
17.
Zhang, Yichi, Tianrun Cai, Yuri Ahuja, et al.. (2019). Automated grouping of medical codes via multiview banded spectral clustering. Journal of Biomedical Informatics. 100. 103322–103322.
18.
Klarin, Derek, Scott M. Damrauer, Kelly Cho, et al.. (2018). Genetics of blood lipids among similar to 300,000 multi-ethnic participants of the Million Veteran Program. Nature Genetics. 50(11).
19.
Orkaby, Ariela R., Kelly Cho, Jean Cormack, David Gagnon, & Jane A. Driver. (2017). Metformin vs sulfonylurea use and risk of dementia in US veterans aged ≥65 years with diabetes. Neurology. 89(18). 1877–1885.
20.
Song, Rebecca J., Yuk‐Lam Ho, Xuan‐Mai T. Nguyen, et al.. (2016). Abstract 18809: Development of an Electronic Health Record-Based Algorithm for Smoking Status Using the Million Veteran Program (MVP) Cohort Survey Response. Circulation. 134.
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.
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