Jonathan H. Kim

4.5k total citations · 5 hit papers
75 papers, 2.6k citations indexed

About

Jonathan H. Kim is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Orthopedics and Sports Medicine. According to data from OpenAlex, Jonathan H. Kim has authored 75 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Cardiology and Cardiovascular Medicine, 19 papers in Complementary and alternative medicine and 17 papers in Orthopedics and Sports Medicine. Recurrent topics in Jonathan H. Kim's work include Cardiovascular Effects of Exercise (52 papers), Cardiovascular and exercise physiology (19 papers) and Sports injuries and prevention (14 papers). Jonathan H. Kim is often cited by papers focused on Cardiovascular Effects of Exercise (52 papers), Cardiovascular and exercise physiology (19 papers) and Sports injuries and prevention (14 papers). Jonathan H. Kim collaborates with scholars based in United States, Switzerland and Australia. Jonathan H. Kim's co-authors include Aaron L. Baggish, Dermot Phelan, Katalin Mikecz, Eugene H. Chung, Tibor T. Glant, Frank R. Brennan, Paul M. Thompson, Thomas J. Wang, Rajeev Malhotra and Matthew W. Martinez and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Circulation.

In The Last Decade

Jonathan H. Kim

68 papers receiving 2.5k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cardiac Arrest during Long-Distance Running Races

2012 384 citations Jonathan H. Kim, Aaron L. Baggish et al. profile →
2022 ACC Expert Consensus Decision Pathway on Cardiovascular Sequelae of COVID-19 in Adults: Myocarditis and Other Myocardial Involvement, Post-Acute Sequelae of SARS-CoV-2 Infection, and Return to Play

2022 217 citations Nicole M. Bhave, Eugene H. Chung et al. profile →
Prevalence of Inflammatory Heart Disease Among Professional Athletes With Prior COVID-19 Infection Who Received Systematic Return-to-Play Cardiac Screening

2021 166 citations Matthew W. Martinez, Dermot Phelan et al. JAMA Cardiology profile →
2024 HRS expert consensus statement on arrhythmias in the athlete: Evaluation, treatment, and return to play

2024 44 citations Rachel Lampert, Eugene H. Chung et al. Heart Rhythm profile →
Clinical Considerations for Competitive Sports Participation for Athletes With Cardiovascular Abnormalities: A Scientific Statement From the American Heart Association and American College of Cardiology

2025 16 citations Jonathan H. Kim, Aaron L. Baggish et al. Circulation profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jonathan H. Kim United States	25	1.7k	424	397	330	273	75	2.6k
Björn Svensson Sweden	33	125 0.1×	37 0.1×	298 0.8×	290 0.9×	150 0.5×	116	3.9k
Mikael Boesen Denmark	34	185 0.1×	102 0.2×	1.0k 2.6×	309 0.9×	73 0.3×	209	3.6k
Tammy S. Haas United States	33	4.8k 2.8×	88 0.2×	628 1.6×	710 2.2×	93 0.3×	62	5.2k
Jens J. Kaden Germany	26	1.6k 1.0×	40 0.1×	33 0.1×	362 1.1×	34 0.1×	68	2.3k
Juha Paloneva Finland	26	126 0.1×	76 0.2×	346 0.9×	31 0.1×	79 0.3×	96	2.9k
Christine zu Eulenburg Germany	29	308 0.2×	16 0.0×	112 0.3×	141 0.4×	33 0.1×	96	2.5k
Bo Eklöf United States	33	338 0.2×	28 0.1×	78 0.2×	155 0.5×	283 1.0×	81	6.1k
Graham Stuart United Kingdom	27	1.1k 0.7×	42 0.1×	31 0.1×	123 0.4×	161 0.6×	115	2.1k
Jau‐Ching Wu Taiwan	30	88 0.1×	65 0.2×	54 0.1×	145 0.4×	142 0.5×	151	3.3k
Robert I. Liem United States	27	97 0.1×	38 0.1×	48 0.1×	43 0.1×	67 0.2×	97	2.5k

Countries citing papers authored by Jonathan H. Kim

Since Specialization

Citations

This map shows the geographic impact of Jonathan H. Kim'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 Jonathan H. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan H. Kim more than expected).

Fields of papers citing papers by Jonathan H. Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan H. Kim. 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 Jonathan H. Kim. The network helps show where Jonathan H. Kim may publish in the future.

Co-authorship network of co-authors of Jonathan H. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan H. Kim. A scholar is included among the top collaborators of Jonathan H. Kim 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 Jonathan H. Kim. Jonathan H. Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Cornwell, William K., Benjamin D. Levine, Nicole M. Bhave, et al.. (2025). Exercise Intolerance and Response to Training in Patients With Postacute Sequelae of SARS-CoV2 (Long COVID): A Scientific Statement From the American Heart Association. Circulation. 152(5). e50–e62. 3 indexed citations

Patel, Parth, Melroy A. D’Souza, James Miller, et al.. (2025). Prevalence and Outcomes of Competitive Athletes From the United States With Electrocardiographic Athletic Anterior Early Repolarization. JACC Advances. 4(9). 102102–102102.

Liu, Chang, James Miller, Elizabeth Simpson, et al.. (2025). Concussions Are Associated With Increases in Blood Pressure and Cardiovascular Risk in American-Style Football Athletes. JACC Advances. 4(5). 101717–101717. 1 indexed citations

Soutar, Marc P. M., Aakash Bavishi, Jonathan H. Kim, et al.. (2025). Electrocardiographic Findings Among Major League Soccer Athletes. JACC Advances. 4(7). 101886–101886.

Lampert, Rachel, Eugene H. Chung, Michael J. Ackerman, et al.. (2024). 2024 HRS expert consensus statement on arrhythmias in the athlete: Evaluation, treatment, and return to play. Heart Rhythm. 21(10). e151–e252. 44 indexed citations breakdown →

Liu, Chang, Arshed A. Quyyumi, Tené T. Lewis, et al.. (2024). Social Determinants of Health and Cardiovascular Risk in Collegiate American-Style Football Athletes. JACC Advances. 3(7). 100965–100965. 2 indexed citations

Churchill, Timothy W., Anna C. O’Kelly, Jonathan H. Kim, et al.. (2023). Risk tolerance and eligibility decision-making strategies among young competitive athletes: novel insights into the emerging practice of shared decision making. European Journal of Preventive Cardiology. 31(2). e1–e3. 3 indexed citations

Tso, Jason, Casey G. Turner, Chang Liu, et al.. (2023). Longitudinal Aortic Root Dilatation in Collegiate American‐Style Football Athletes. Journal of the American Heart Association. 12(12). e030314–e030314. 5 indexed citations

Jain, Vardhmaan, Anurag Mehta, Chang Liu, et al.. (2023). Immune Activation Mediates the Association of Advanced Hepatic Fibrosis With Adverse Outcomes in Patients With Coronary Artery Disease. Journal of the American Heart Association. 12(24). e031230–e031230. 7 indexed citations

10.

Desai, Shivang, Devinder S. Dhindsa, Yi‐An Ko, et al.. (2023). Aggregate Clinical and Biomarker-Based Model Predicts Adverse Outcomes in Patients With Coronary Artery Disease. The American Journal of Cardiology. 203. 315–324. 6 indexed citations

11.

Tso, Jason, Stephanie Cantu, & Jonathan H. Kim. (2022). Case Series of Coronary Artery Anomalies in Athletes. JACC Case Reports. 4(17). 1074–1079. 1 indexed citations

12.

Kim, Jonathan H.. (2022). Editorial commentary: Screening cardiac magnetic resonance imaging for athletes after COVID-19: Is it time to end the debate?. Trends in Cardiovascular Medicine. 32(3). 151–152. 1 indexed citations

13.

Tso, Jason & Jonathan H. Kim. (2022). Hypertension in Athletes. Cardiology Clinics. 41(1). 15–24.

14.

Symanski, John D., Jason Tso, Dermot Phelan, & Jonathan H. Kim. (2022). Myocarditis in the Athlete. Clinics in Sports Medicine. 41(3). 455–472. 8 indexed citations

15.

Tso, Jason, Casey G. Turner, & Jonathan H. Kim. (2020). A Hidden Threat: Anomalous Aortic Origins of the Coronary Arteries in Athletes. Current Treatment Options in Cardiovascular Medicine. 22(12). 5 indexed citations

16.

Phelan, Dermot, Jonathan H. Kim, Michael D. Elliott, et al.. (2020). Screening of Potential Cardiac Involvement in Competitive Athletes Recovering From COVID-19. JACC. Cardiovascular imaging. 13(12). 2635–2652. 86 indexed citations

17.

Kim, Jonathan H., Chang Liu, Ahmed AlBadri, et al.. (2019). Weight Gain, Hypertension, and the Emergence of a Maladaptive Cardiovascular Phenotype Among US Football Players. JAMA Cardiology. 4(12). 1221–1221. 34 indexed citations

18.

Kim, Jonathan H. & Aaron L. Baggish. (2017). Strenuous Exercise and Cardiovascular Disease Outcomes. Current Atherosclerosis Reports. 19(1). 1–1. 34 indexed citations

19.

Kim, Jonathan H., et al.. (2016). Cardiac Structure and Function in Elite Para-cyclists with Spinal Cord Injury. Medicine & Science in Sports & Exercise. 48(8). 1431–1437. 6 indexed citations

20.

Mikecz, Katalin, Frank R. Brennan, Jonathan H. Kim, & Tibor T. Glant. (1995). Anti-CD44 treatment abrogates tissue aedema and leukocyte infiltration in murine arthrtis. Nature Medicine. 1(6). 558–563. 255 indexed citations

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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