Pamela Ouyang
About
Pamela Ouyang is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Pamela Ouyang has authored 237 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Cardiology and Cardiovascular Medicine, 69 papers in Endocrinology, Diabetes and Metabolism and 36 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Pamela Ouyang's work include Cardiac Imaging and Diagnostics (35 papers), Cardiovascular Function and Risk Factors (32 papers) and Cardiovascular Health and Disease Prevention (32 papers). Pamela Ouyang is often cited by papers focused on Cardiac Imaging and Diagnostics (35 papers), Cardiovascular Function and Risk Factors (32 papers) and Cardiovascular Health and Disease Prevention (32 papers). Pamela Ouyang collaborates with scholars based in United States, Canada and China. Pamela Ouyang's co-authors include Dhananjay Vaidya, Sidney O. Gottlieb, Gary Gerstenblith, E. David Mellits, Erin D. Michos, Myron L. Weisfeldt, Moysés Szklo, Edward P. Shapiro, Matthew Allison and Kiang Liu and has published in prestigious journals such as New England Journal of Medicine, JAMA and Circulation.
In The Last Decade
Pamela Ouyang
228 papers receiving 11.1k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Pamela Ouyang United States | 60 | 5.7k | 2.5k | 2.0k | 2.0k | 1.5k | 237 | 11.5k | ||
| Michael J. Pencina United States | 35 | 6.6k 1.2× | 2.6k 1.0× | 2.3k 1.1× | 1.3k 0.7× | 1.1k 0.8× | 46 | 14.7k | ||
| Richard R. Fabsitz United States | 52 | 5.2k 0.9× | 2.2k 0.9× | 1.9k 1.0× | 1.1k 0.5× | 1.3k 0.9× | 150 | 10.5k | ||
| Jacqueline C.M. Witteman Netherlands | 54 | 4.2k 0.7× | 2.0k 0.8× | 1.6k 0.8× | 1.3k 0.7× | 1.4k 0.9× | 92 | 12.7k | ||
| Joseph Yeboah United States | 33 | 7.0k 1.2× | 2.4k 0.9× | 3.3k 1.6× | 2.3k 1.1× | 1.6k 1.1× | 133 | 13.5k | ||
| Kim A. Williams United States | 18 | 4.8k 0.8× | 1.8k 0.7× | 2.5k 1.2× | 1.3k 0.6× | 1.1k 0.7× | 41 | 10.0k | ||
| Michael D. Miedema United States | 33 | 5.9k 1.0× | 2.1k 0.8× | 3.6k 1.8× | 2.6k 1.3× | 1.1k 0.8× | 120 | 12.2k | ||
| Eva Lonn Canada | 56 | 8.1k 1.4× | 2.5k 1.0× | 3.1k 1.5× | 1.5k 0.7× | 1.5k 1.0× | 193 | 15.2k | ||
| Boback Ziaeian United States | 29 | 6.2k 1.1× | 2.0k 0.8× | 2.7k 1.3× | 1.2k 0.6× | 1.2k 0.8× | 111 | 12.4k | ||
| Jacqueline C.M. Witteman Netherlands | 49 | 5.4k 1.0× | 1.4k 0.5× | 1.4k 0.7× | 1.3k 0.6× | 1.3k 0.9× | 108 | 11.9k | ||
| Jarett D. Berry United States | 56 | 7.1k 1.3× | 2.1k 0.8× | 2.2k 1.1× | 1.3k 0.6× | 2.2k 1.5× | 196 | 12.6k |
Countries citing papers authored by Pamela Ouyang
Since
Specialization
Citations
This map shows the geographic impact of Pamela Ouyang'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 Pamela Ouyang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pamela Ouyang more than expected).
Fields of papers citing papers by Pamela Ouyang
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Pamela Ouyang. 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 Pamela Ouyang. The network helps show where Pamela Ouyang may publish in the future.
Co-authorship network of co-authors of Pamela Ouyang
This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Ouyang. A scholar is included among the top collaborators of Pamela Ouyang 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 Pamela Ouyang. Pamela Ouyang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Allison, Matthew, Iva Miljkovic, Chantal A. Vella, et al.. (2025). Exploring the Relationships between Sex Hormones and Abdominal Muscle Area and Radiodensity in Postmenopausal Women: Insights from the Multi-Ethnic Study of Atherosclerosis. Maturitas. 194. 108197–108197.
2.
Nanda, Joy P., Pamela Ouyang, Lee Bone, et al.. (2023). Integrating community voices in the research continuum: Perspectives on a consultation service. Journal of Clinical and Translational Science. 7(1). e177–e177.
3.
Trainor, Patrick J., Michela Brambatti, Samantha M. Carlisle, et al.. (2023). Blood Levels of Angiotensinogen and Hypertension in the Multi-Ethnic Study of Atherosclerosis (MESA). Journal of the American College of Cardiology. 81(13). 1248–1259.
4.
Michos, Erin D., Di Zhao, Bharath Ambale‐Venkatesh, et al.. (2022). Oxidative Stress and Menopausal Status: The Coronary Artery Risk Development in Young Adults Cohort Study. Journal of Women s Health. 31(7). 1057–1065.
5.
Kazzi, Brigitte, Oluseye Ogunmoroti, Di Zhao, et al.. (2022). Parity History and Later Life Sex Hormone Levels in the Multi-Ethnic Study of Atherosclerosis (MESA). Canadian Journal of Cardiology. 38(12). 1893–1900.
6.
LaFave, Sarah, et al.. (2021). Building a pipeline of community-engaged researchers: How interdisciplinary translational research training programs can collaborate with their Community Research Advisory Councils. SHILAP Revista de lepidopterología. 5(1). e156–e156.
7.
Soliman, Elsayed Z., Dalane W. Kitzman, Zeina Dardari, et al.. (2021). Comparison of the Relation of Carotid Intima-Media Thickness With Incident Heart Failure With Reduced Versus Preserved Ejection Fraction (from the Multi-Ethnic Study of Atherosclerosis [MESA]). The American Journal of Cardiology. 148. 102–109.
8.
Polak, Joseph F., Pamela Ouyang, & Dhananjay Vaidya. (2019). Total brachial artery reactivity and first time incident coronary heart disease events in a longitudinal cohort study: The multi-ethnic study of atherosclerosis. PLoS ONE. 14(4). e0211726–e0211726.
9.
Mathews, Lena, Vinita Subramanya, Di Zhao, et al.. (2019). Endogenous Sex Hormones and Endothelial Function in Postmenopausal Women and Men: The Multi-Ethnic Study of Atherosclerosis. Journal of Women s Health. 28(7). 900–909.
10.
Ying, Wendy, Wendy S. Post, Erin D. Michos, et al.. (2019). Abstract 12378: Associations Between Menopause, Cardiac Remodeling, and Diastolic Function: The Coronary Artery Risk Development in Young Adults (CARDIA) Study. Circulation.
11.
Santa‐Maria, Cesar A., Amanda L. Blackford, Anne Nguyen, et al.. (2015). Association of Variants in Candidate Genes with Lipid Profiles in Women with Early Breast Cancer on Adjuvant Aromatase Inhibitor Therapy. Clinical Cancer Research. 22(6). 1395–1402.
12.
Ventetuolo, Corey E., Grayson L. Baird, R. Graham Barr, et al.. (2015). Higher Estradiol and Lower Dehydroepiandrosterone-Sulfate Levels Are Associated with Pulmonary Arterial Hypertension in Men. American Journal of Respiratory and Critical Care Medicine. 193(10). 1168–1175.
13.
Martin, Seth S., Michael J. Blaha, Ron Blankstein, et al.. (2013). Dyslipidemia, Coronary Artery Calcium, and Incident Atherosclerotic Cardiovascular Disease. Circulation. 129(1). 77–86.
14.
Lamprea‐Montealegre, Julio A., Brad C. Astor, Robyn L. McClelland, et al.. (2013). Abstract 9258: LDL Phenotype-B is Strongly Associated With CHD Risk Among Individuals With CKD. The Multi-ethnic Study of Atherosclerosis (MESA). Circulation. 128(suppl_22).
15.
Ventetuolo, Corey E., Pamela Ouyang, David A. Bluemke, et al.. (2010). Sex Hormones Are Associated with Right Ventricular Structure and Function: The MESA-Right Ventricle Study. American Journal of Respiratory and Critical Care Medicine. 183(5). 659–667.
16.
Bertoni, Alain G., Gregory L. Burke, James A. Owusu, et al.. (2010). Inflammation and the Incidence of Type 2 Diabetes. Diabetes Care. 33(4). 804–810.
17.
Ding, Jingzhong, Fang‐Chi Hsu, Tamara B. Harris, et al.. (2009). The association of pericardial fat with incident coronary heart disease: the Multi-Ethnic Study of Atherosclerosis (MESA). American Journal of Clinical Nutrition. 90(3). 499–504.
18.
Majka, Darcy S., Rowland W. Chang, Thanh‐Huyen T. Vu, et al.. (2008). Physical Activity and High-Sensitivity C-Reactive Protein. American Journal of Preventive Medicine. 36(1). 56–62.
19.
Deedwania, Prakash, Peter H. Stone, C. Noel Bairey Merz, et al.. (2007). Effects of Intensive Versus Moderate Lipid-Lowering Therapy on Myocardial Ischemia in Older Patients With Coronary Heart Disease. Circulation. 115(6). 700–707.
20.
Pepine, Carl J., Thomas Andrews, Sandra Forman, et al.. (1997). Relation Between Clinical, Angiographic and Ischemic Findings at Baseline and Ischemia-Related Adverse Outcomes at 1 Year in the Asymptomatic Cardiac Ischemia Pilot Study fn1fn1This study was funded by the National Heart, Lung, and Blood Institute, Cardiac Diseases Branch, Division of Heart and Vascular Diseases, National Institutes of Health, Bethesda, Maryland, by Research Contracts HV-90-07, HV90-08, HV-91-05 to HV-91-14. Study medications and placebo were donated by Zeneca Pharmaceuticals Group, Wilmington, Delaware; Marion-Merrell Dow, Kansas City, Missouri; and Pfizer, New York, New York. Support for electrocardiographic data collection was provided in part by Applied Cardiac Systems, Laguna Hills, California; Marquette Electronics, Milwaukee, Wisconsin; Mortara Instrument, Milwaukee, Wisconsin; and Quinton Instruments, Seattle, Washington. Some centers had partial support from grants from the General Clinical Research Center, National Institutes of Health.. Journal of the American College of Cardiology. 29(7). 1483–1489.
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.
Explore authors with similar magnitude of impact
Breakdown of academic impact, for papers by Michael J. Pencina Breakdown of academic impact, for papers by Richard R. Fabsitz Breakdown of academic impact, for papers by Jacqueline C.M. Witteman Breakdown of academic impact, for papers by Joseph Yeboah Breakdown of academic impact, for papers by Kim A. Williams Breakdown of academic impact, for papers by Michael D. Miedema Breakdown of academic impact, for papers by Eva Lonn Breakdown of academic impact, for papers by Boback Ziaeian Breakdown of academic impact, for papers by Jacqueline C.M. Witteman Breakdown of academic impact, for papers by Jarett D. Berry