Christopher M. Haggerty

5.6k total citations
103 papers, 2.0k citations indexed

About

Christopher M. Haggerty is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Christopher M. Haggerty has authored 103 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Cardiology and Cardiovascular Medicine, 34 papers in Epidemiology and 24 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Christopher M. Haggerty's work include Cardiovascular Function and Risk Factors (35 papers), Congenital Heart Disease Studies (31 papers) and Cardiac Imaging and Diagnostics (19 papers). Christopher M. Haggerty is often cited by papers focused on Cardiovascular Function and Risk Factors (35 papers), Congenital Heart Disease Studies (31 papers) and Cardiac Imaging and Diagnostics (19 papers). Christopher M. Haggerty collaborates with scholars based in United States, United Kingdom and France. Christopher M. Haggerty's co-authors include Brandon K. Fornwalt, Ajit P. Yoganathan, Linyuan Jing, Mark A. Fogel, Gregory J Wehner, Jonathan D Suever, Diane de Zélicourt, Maria Restrepo, Dustin N. Hartzel and H. Lester Kirchner and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Christopher M. Haggerty

96 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher M. Haggerty United States	30	1.2k	776	510	413	403	103	2.0k
Adriaan Moelker Netherlands	31	1.2k 1.0×	892 1.1×	1.1k 2.1×	762 1.8×	976 2.4×	155	3.1k
Brandon K. Fornwalt United States	24	1.2k 1.0×	317 0.4×	236 0.5×	213 0.5×	619 1.5×	80	1.9k
Gerold Porenta Austria	22	1.8k 1.6×	536 0.7×	514 1.0×	389 0.9×	1.5k 3.7×	66	2.7k
John A. Spratt United States	22	914 0.8×	419 0.5×	569 1.1×	309 0.7×	225 0.6×	42	2.4k
Reza Arsanjani United States	23	1.1k 1.0×	216 0.3×	548 1.1×	228 0.6×	1.1k 2.9×	175	2.1k
Jonathan Weir‐McCall United Kingdom	22	1.4k 1.2×	632 0.8×	629 1.2×	644 1.6×	1.6k 4.0×	125	2.9k
Diane Crawford United Kingdom	27	806 0.7×	973 1.3×	720 1.4×	472 1.1×	303 0.8×	50	2.1k
Tineke P. Willems Netherlands	24	1.3k 1.1×	623 0.8×	704 1.4×	704 1.7×	587 1.5×	108	2.1k
Sang Il Choi South Korea	27	997 0.9×	227 0.3×	907 1.8×	532 1.3×	1.1k 2.6×	128	2.7k
Joost Lumens Netherlands	33	3.3k 2.8×	396 0.5×	543 1.1×	1.2k 2.9×	370 0.9×	123	3.9k

Countries citing papers authored by Christopher M. Haggerty

Since Specialization

Citations

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

Fields of papers citing papers by Christopher M. Haggerty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Haggerty. 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 Christopher M. Haggerty. The network helps show where Christopher M. Haggerty may publish in the future.

Co-authorship network of co-authors of Christopher M. Haggerty

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Haggerty. A scholar is included among the top collaborators of Christopher M. Haggerty 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 Christopher M. Haggerty. Christopher M. Haggerty 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

Carruth, Eric, Brittney Murray, Crystal Tichnell, et al.. (2025). Predicted Risk of Ventricular Arrhythmias in a Genome-First Population With Genetic Risk for Arrhythmogenic Right Ventricular Cardiomyopathy. Circulation Arrhythmia and Electrophysiology. 18(3). e013231–e013231.

Ulloa, Alvaro, David P. vanMaanen, Linyuan Jing, et al.. (2025). A Large-scale Multimodal Study for Predicting Mortality Risk Using Minimal and Low Parameter Models and Separable Risk Assessment. IEEE Journal of Biomedical and Health Informatics. 29(5). 3762–3771.

Hughes, J. Weston, Sulaiman Somani, Pierre Elias, et al.. (2024). Simple models vs. deep learning in detecting low ejection fraction from the electrocardiogram. European Heart Journal - Digital Health. 5(4). 427–434. 2 indexed citations

Asatryan, Babken, Brittney Murray, Rafik Tadros, et al.. (2024). Promise and Peril of a Genotype‐First Approach to Mendelian Cardiovascular Disease. Journal of the American Heart Association. 13(21). e033557–e033557. 4 indexed citations

Sun, Changyu, Pierre Croisille, Magalie Viallon, et al.. (2023). StrainNet: Improved Myocardial Strain Analysis of Cine MRI by Deep Learning from DENSE. Radiology Cardiothoracic Imaging. 5(3). e220196–e220196. 17 indexed citations

Jing, Linyuan, Dustin N. Hartzel, Daniel Rocha, et al.. (2023). Abstract 14647: EchoNext: An ECG-Based Deep Learning Model to Detect Structural Heart Disease. Circulation. 148(Suppl_1). 2 indexed citations

Carruth, Eric, Amro Alsaid, Melissa Kelly, et al.. (2022). Loss-of-Function FLNC Variants Are Associated With Arrhythmogenic Cardiomyopathy Phenotypes When Identified Through Exome Sequencing of a General Clinical Population. Circulation Genomic and Precision Medicine. 15(4). e003645–e003645. 15 indexed citations

Carruth, Eric, et al.. (2021). 3D-Encoded DENSE MRI with Zonal Excitation for Quantifying Biventricular Myocardial Strain During a Breath-Hold. Cardiovascular Engineering and Technology. 12(6). 589–597. 4 indexed citations

Khurshid, Shaan, Nina Mars, Christopher M. Haggerty, et al.. (2021). Predictive Accuracy of a Clinical and Genetic Risk Model for Atrial Fibrillation. Circulation Genomic and Precision Medicine. 14(5). e003355–e003355. 22 indexed citations

10.

Ulloa, Alvaro, Linyuan Jing, Christopher W. Good, et al.. (2021). Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality. Nature Biomedical Engineering. 5(6). 546–554. 45 indexed citations

11.

Park, Joseph, Michael G. Levin, Christopher M. Haggerty, et al.. (2019). A genome-first approach to aggregating rare genetic variants in LMNA for association with electronic health record phenotypes. Genetics in Medicine. 22(1). 102–111. 37 indexed citations

12.

Raghunath, Sushravya, David P. vanMaanen, Joshua V. Stough, et al.. (2019). Abstract 14425: Deep Neural Networks Can Predict 1-Year Mortality Directly From ECG Signal, Even When Clinically Interpreted as Normal. Circulation. 2 indexed citations

13.

Haggerty, Christopher M., Brittney Murray, Crystal Tichnell, et al.. (2018). Managing Secondary Genomic Findings Associated With Arrhythmogenic Right Ventricular Cardiomyopathy. Circulation Genomic and Precision Medicine. 11(7). e002237–e002237. 13 indexed citations

14.

Jing, Linyuan, Christopher M. Haggerty, Jonathan D Suever, et al.. (2014). Patients with repaired tetralogy of Fallot suffer from intra- and inter-ventricular cardiac dyssynchrony: a cardiac magnetic resonance study. European Heart Journal - Cardiovascular Imaging. 15(12). 1333–1343. 33 indexed citations

15.

Restrepo, Maria, Elaine Tang, Christopher M. Haggerty, et al.. (2014). Energetic Implications of Vessel Growth and Flow Changes Over Time in Fontan Patients. The Annals of Thoracic Surgery. 99(1). 163–170. 35 indexed citations

16.

Haggerty, Christopher M., Lucia Mirabella, James Bethel, et al.. (2013). INCREASED POWER LOSS IN THE TOTAL CAVOPULMONARY CONNECTION IS RELATED TO DECREASED SINGLE VENTRICLE VOLUME. Journal of the American College of Cardiology. 61(10). E491–E491. 2 indexed citations

17.

Tang, Elaine, Christopher M. Haggerty, Reza H. Khiabani, et al.. (2012). Numerical and experimental investigation of pulsatile hemodynamics in the total cavopulmonary connection. Journal of Biomechanics. 46(2). 373–382. 14 indexed citations

18.

Haggerty, Christopher M., Kirk R. Kanter, Maria Restrepo, et al.. (2012). Simulating hemodynamics of the Fontan Y-graft based on patient-specific in vivo connections. Journal of Thoracic and Cardiovascular Surgery. 145(3). 663–670. 33 indexed citations

19.

Sundareswaran, Kartik S., Christopher M. Haggerty, Diane de Zélicourt, et al.. (2011). Visualization of flow structures in Fontan patients using 3-dimensional phase contrast magnetic resonance imaging. Journal of Thoracic and Cardiovascular Surgery. 143(5). 1108–1116. 37 indexed citations

20.

Olivieri, Laura, et al.. (2009). Abstract 2124: Modeling Blood Flow in Repaired Coarctation of the Aorta Using Computational Fluid Dynamics. Circulation. 120. 1 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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