Jennifer E. Ho

32.9k total citations · 6 hit papers
194 papers, 9.6k citations indexed

About

Jennifer E. Ho is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Jennifer E. Ho has authored 194 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Cardiology and Cardiovascular Medicine, 28 papers in Pulmonary and Respiratory Medicine and 23 papers in Surgery. Recurrent topics in Jennifer E. Ho's work include Cardiovascular Function and Risk Factors (62 papers), Heart Failure Treatment and Management (40 papers) and Cardiovascular and exercise physiology (16 papers). Jennifer E. Ho is often cited by papers focused on Cardiovascular Function and Risk Factors (62 papers), Heart Failure Treatment and Management (40 papers) and Cardiovascular and exercise physiology (16 papers). Jennifer E. Ho collaborates with scholars based in United States, Netherlands and Germany. Jennifer E. Ho's co-authors include Ramachandran S. Vasan, Martin G. Larson, Daniel Levy, Asya Lyass, Thomas J. Wang, Susan Cheng, Douglas S. Lee, Anahita Ghorbani, Emelia J. Benjamin and Paul Courchesne and has published in prestigious journals such as Circulation, Nature Medicine and Nature Communications.

In The Last Decade

Jennifer E. Ho

179 papers receiving 9.4k citations

Hit Papers

Atrial Fibrillation Begets Heart Failure and Vice Versa 2012 2026 2016 2021 2016 2012 2018 2023 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer E. Ho United States 54 5.2k 1.5k 1.4k 1.3k 1.1k 194 9.6k
Joseph B. Muhlestein United States 57 4.1k 0.8× 1.2k 0.8× 2.5k 1.8× 1.2k 1.0× 1.4k 1.3× 241 11.5k
Yves Cottin France 45 4.3k 0.8× 515 0.3× 1.5k 1.1× 1.7k 1.3× 718 0.7× 388 9.9k
Christopher R. deFilippi United States 52 6.5k 1.3× 708 0.5× 2.0k 1.4× 725 0.6× 412 0.4× 264 9.8k
Dirk Westermann Germany 56 7.6k 1.5× 900 0.6× 2.7k 1.9× 2.4k 1.9× 561 0.5× 424 11.9k
Domingo A. Pascual‐Figal Spain 46 4.2k 0.8× 1.3k 0.9× 1.8k 1.3× 865 0.7× 441 0.4× 304 7.3k
Michele Emdin Italy 59 7.5k 1.5× 679 0.5× 1.5k 1.1× 2.4k 1.8× 930 0.9× 465 12.2k
Renate B. Schnabel Germany 56 8.6k 1.7× 862 0.6× 1.6k 1.2× 1.5k 1.2× 795 0.7× 294 12.8k
Robert H. Christenson United States 68 11.0k 2.1× 862 0.6× 3.4k 2.5× 1.7k 1.3× 599 0.6× 423 17.0k
Giuseppe Ambrosio Italy 58 7.1k 1.4× 746 0.5× 2.3k 1.6× 2.2k 1.7× 1.1k 1.0× 410 14.1k
Charalambos Antoniades United Kingdom 62 5.5k 1.1× 1.4k 1.0× 3.2k 2.3× 2.1k 1.6× 891 0.8× 312 12.1k

Countries citing papers authored by Jennifer E. Ho

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer E. Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer E. Ho. 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 Jennifer E. Ho. The network helps show where Jennifer E. Ho may publish in the future.

Co-authorship network of co-authors of Jennifer E. Ho

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

All Works

20 of 20 papers shown
1.
Friedman, Sam, Shaan Khurshid, Xin Wang, et al.. (2025). Unsupervised deep learning of electrocardiograms enables scalable human disease profiling. npj Digital Medicine. 8(1). 23–23. 4 indexed citations
2.
Rämö, Joel, David Playford, Geoff Strange, et al.. (2025). New Threshold for Defining Mild Aortic Stenosis Derived From Velocity-Encoded MRI in 60,000 Individuals. Journal of the American College of Cardiology. 85(13). 1387–1399. 2 indexed citations
3.
Claggett, Brian, Mahnaz Maddah, Shaan Khurshid, et al.. (2025). Using Artificial Intelligence to Adjudicate Major Adverse Cardiovascular Events in Clinical Trials. Journal of the American College of Cardiology.
4.
Kennedy, Kevin F., J. Fried, Koji Takeda, et al.. (2024). Association of ECMO Flow Index and Mortality in Adults with Cardiogenic Shock Receiving Venoarterial Extracorporeal Membrane Oxygenation: An ELSO Registry Analysis. The Journal of Heart and Lung Transplantation. 43(4). S127–S128.
5.
Liu, Elizabeth, Jessica K. Wang, L. Daniel Myers, et al.. (2024). Uncovering Unrecognized Heart Failure With Preserved Ejection Fraction Among Individuals With Obesity and Dyspnea. Circulation Heart Failure. 17(5). e011366–e011366. 18 indexed citations
6.
Lau, Emily S., Paolo Di Achille, Pulkit Singh, et al.. (2023). Deep Learning–Enabled Assessment of Left Heart Structure and Function Predicts Cardiovascular Outcomes. Journal of the American College of Cardiology. 82(20). 1936–1948. 27 indexed citations
7.
Wang, Xin, Shaan Khurshid, Seung Hoan Choi, et al.. (2023). Genetic Susceptibility to Atrial Fibrillation Identified via Deep Learning of 12-Lead Electrocardiograms. Circulation Genomic and Precision Medicine. 16(4). 340–349. 7 indexed citations
8.
Zern, Emily K., Nona Jiang, Dongyu Wang, et al.. (2023). Obesity Modifies Clinical Outcomes of Right Ventricular Dysfunction. Circulation Heart Failure. 16(11). e010524–e010524. 5 indexed citations
9.
Hardin, Kathryn M., Robyn Farrell, Thomas F. Cunningham, et al.. (2023). Systemic Arterial Oxygen Levels Differentiate Pre- and Post-capillary Predominant Hemodynamic Abnormalities During Exercise in Undifferentiated Dyspnea on Exertion. Journal of Cardiac Failure. 30(1). 39–47. 5 indexed citations
10.
Quinaglia, Thiago, Zsófia D. Drobni, Jennifer E. Ho, et al.. (2023). Atrial and ventricular arrhythmias with immune checkpoint inhibitor therapy in patients without evidence of myocarditis. European Heart Journal. 44(Supplement_2). 3 indexed citations
11.
Khurshid, Shaan, Timothy W. Churchill, Nathaniel Diamant, et al.. (2023). Deep learned representations of the resting 12-lead electrocardiogram to predict at peak exercise. European Journal of Preventive Cardiology. 31(2). 252–262. 6 indexed citations
12.
Honigberg, Michael C., Dongyu Wang, Paul Courchesne, et al.. (2023). Protein Biomarkers of Early Menopause and Incident Cardiovascular Disease. Journal of the American Heart Association. 12(16). e028849–e028849. 13 indexed citations
13.
Wang, Dongyu, Martin G. Larson, Emily S. Lau, et al.. (2023). Family History of Modifiable Risk Factors and Association With Future Cardiovascular Disease. Journal of the American Heart Association. 12(6). e027881–e027881. 8 indexed citations
14.
Chatterjee, Emeli, Rodosthenis S. Rodosthenous, Ville Kujala, et al.. (2023). Circulating extracellular vesicles in human cardiorenal syndrome promote renal injury in a kidney-on-chip system. JCI Insight. 8(22). 17 indexed citations
15.
Cunningham, Jonathan W., Paolo Di Achille, Valerie N. Morrill, et al.. (2022). Machine Learning to Understand Genetic and Clinical Factors Associated With the Pulse Waveform Dicrotic Notch. Circulation Genomic and Precision Medicine. 16(1). e003676–e003676. 10 indexed citations
16.
Kim, You Jin, Sophia Lu, Jennifer E. Ho, et al.. (2021). Proteins as Mediators of the Association Between Diet Quality and Incident Cardiovascular Disease and All‐Cause Mortality: The Framingham Heart Study. Journal of the American Heart Association. 10(18). e021245–e021245. 18 indexed citations
17.
Zern, Emily K., Jennifer E. Ho, Emily S. Lau, et al.. (2021). Exercise Intolerance in Heart Failure With Preserved Ejection Fraction: Arterial Stiffness and Abnormal Left Ventricular Hemodynamic Responses During Exercise. Journal of Cardiac Failure. 27(6). 625–634. 17 indexed citations
18.
Santhanakrishnan, Rajalakshmi, Na Wang, Martin G. Larson, et al.. (2016). Atrial Fibrillation Begets Heart Failure and Vice Versa. Circulation. 133(5). 484–492. 550 indexed citations breakdown →
19.
Kraigher‐Krainer, Elisabeth, Asya Lyass, Joseph M. Massaro, et al.. (2013). Association of Physical Activity and Heart Failure with Preserved vs. Reduced Ejection Fraction in the Elderly: The Framingham Heart Study. European Journal of Heart Failure. 15(7). 742–746. 80 indexed citations
20.
Otnes, Cornelia C, Elizabeth Crosby, Robert Kreuzbauer, & Jennifer E. Ho. (2008). Tinsel, Trimmings, and Tensions: Consumer Negotiations of a Focal Christmas Artifact. Surrey Research Insight Open Access (The University of Surrey). 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026