Matthew T. Wheeler

18.9k total citations · 3 hit papers
137 papers, 4.7k citations indexed

About

Matthew T. Wheeler is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Matthew T. Wheeler has authored 137 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Cardiology and Cardiovascular Medicine, 46 papers in Molecular Biology and 25 papers in Genetics. Recurrent topics in Matthew T. Wheeler's work include Cardiovascular Effects of Exercise (37 papers), Cardiomyopathy and Myosin Studies (36 papers) and Cardiovascular Function and Risk Factors (25 papers). Matthew T. Wheeler is often cited by papers focused on Cardiovascular Effects of Exercise (37 papers), Cardiomyopathy and Myosin Studies (36 papers) and Cardiovascular Function and Risk Factors (25 papers). Matthew T. Wheeler collaborates with scholars based in United States, Australia and Germany. Matthew T. Wheeler's co-authors include Euan A. Ashley, Elizabeth M. McNally, Cecile M. Pickart, Osamu Hitotsumatsu, Rizwan Ahmad, Paula J. Hurley, Averil Ma, Sophia Chai, Emre E. Turer and Marcia Chien and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and JAMA.

In The Last Decade

Matthew T. Wheeler

128 papers receiving 4.6k citations

Hit 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.

The ubiquitin-modifying enzyme A20 is required for termination of Toll-like receptor responses

2004 889 citations Matthew T. Wheeler, Elizabeth M. McNally et al. profile →
Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort

2017 420 citations Jeffrey W. Christle, Matthew T. Wheeler et al. profile →
Mavacamten Treatment for Symptomatic Obstructive Hypertrophic Cardiomyopathy

2024 34 citations Florian Rader, Artur Oręziak et al. JACC Heart Failure profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew T. Wheeler United States	33	1.7k	1.7k	684	638	607	137	4.7k
Joshua W. Knowles United States	42	1.9k 1.1×	1.7k 1.0×	401 0.6×	915 1.4×	538 0.9×	153	6.6k
Heather Gordish‐Dressman United States	40	941 0.5×	2.6k 1.6×	262 0.4×	1.1k 1.7×	346 0.6×	179	5.2k
René A. Tio Netherlands	40	2.2k 1.3×	1.5k 0.9×	388 0.6×	198 0.3×	453 0.7×	217	5.9k
Alexandre Vallée France	37	478 0.3×	1.6k 1.0×	279 0.4×	288 0.5×	466 0.8×	202	4.7k
Peter Schmid Germany	38	514 0.3×	904 0.5×	619 0.9×	285 0.4×	732 1.2×	198	4.8k
Li Zhang China	33	348 0.2×	1.5k 0.9×	348 0.5×	431 0.7×	470 0.8×	232	4.1k
Kouichi Ozaki Japan	36	338 0.2×	2.5k 1.5×	682 1.0×	1.0k 1.6×	904 1.5×	118	5.0k
Mark D. Johnson United States	40	404 0.2×	2.1k 1.3×	456 0.7×	455 0.7×	446 0.7×	157	6.0k
Elżbieta Kaczmarek Poland	38	393 0.2×	1.8k 1.1×	784 1.1×	519 0.8×	248 0.4×	173	5.2k
Makoto Tanaka Japan	35	636 0.4×	2.8k 1.7×	509 0.7×	387 0.6×	362 0.6×	147	4.4k

Countries citing papers authored by Matthew T. Wheeler

Since Specialization

Citations

This map shows the geographic impact of Matthew T. Wheeler'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 Matthew T. Wheeler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Wheeler more than expected).

Fields of papers citing papers by Matthew T. Wheeler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew T. Wheeler. 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 Matthew T. Wheeler. The network helps show where Matthew T. Wheeler may publish in the future.

Co-authorship network of co-authors of Matthew T. Wheeler

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew T. Wheeler. A scholar is included among the top collaborators of Matthew T. Wheeler 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 Matthew T. Wheeler. Matthew T. Wheeler 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

Tang, Wen, J. T. Steiner, Matthew T. Wheeler, et al.. (2025). Single Ascending-Dose Study of Selective ErbB4 Agonist JK07 in Heart Failure With Reduced Ejection Fraction. JACC Basic to Translational Science. 10(9). 101352–101352.

Jensen, Tanner, Bohan Ni, Chloe M. Reuter, et al.. (2025). Integration of transcriptomics and long-read genomics prioritizes structural variants in rare disease. Genome Research. 35(4). 914–928. 2 indexed citations

García‐Pavía, Pablo, Artur Oręziak, Ahmad Masri, et al.. (2024). Long-term effect of mavacamten in obstructive hypertrophic cardiomyopathy. European Heart Journal. 45(47). 5071–5083. 38 indexed citations

Christle, Jeffrey W., Kegan Moneghetti, Nicholas Cauwenberghs, et al.. (2024). Quantifying assumptions underlying peak oxygen consumption equations across the body mass spectrum. Clinical Obesity. 14(4). e12653–e12653.

Owens, Anjali, et al.. (2024). Mavacamten for Obstructive Hypertrophic Cardiomyopathy: Rationale for Clinically Guided Dose Titration to Optimize Individual Response. Journal of the American Heart Association. 13(17). e033767–e033767. 6 indexed citations

Rader, Florian, Artur Oręziak, Lubna Choudhury, et al.. (2024). Mavacamten Treatment for Symptomatic Obstructive Hypertrophic Cardiomyopathy. JACC Heart Failure. 12(1). 164–177. 34 indexed citations breakdown →

Wheeler, Matthew T., Iacopo Olivotto, Perry Elliott, et al.. (2023). Effects of Mavacamten on Measures of Cardiopulmonary Exercise Testing Beyond Peak Oxygen Consumption. JAMA Cardiology. 8(3). 240–240. 31 indexed citations

Hedman, Kristofer, Daniel Neunhäuserer, François Haddad, et al.. (2023). Respiratory gas kinetics in patients with congestive heart failure during recovery from peak exercise. Clinics. 78. 100225–100225. 2 indexed citations

Gu, Bo, Sally Dunaway Young, Matthew T. Wheeler, et al.. (2023). Assessing the Assisted Six-Minute Cycling Test as a Measure of Endurance in Non-Ambulatory Patients with Spinal Muscular Atrophy (SMA). Journal of Clinical Medicine. 12(24). 7582–7582. 1 indexed citations

10.

Tremblay‐Gravel, Maxime, Kenzo Ichimura, Yumeko Kawano, et al.. (2022). Intrinsic Atrial Myopathy Precedes Left Ventricular Dysfunction and Predicts Atrial Fibrillation in Lamin A/C Cardiomyopathy. Circulation Genomic and Precision Medicine. 16(1). e003480–e003480. 9 indexed citations

11.

Puckelwartz, Megan J., Lorenzo L. Pesce, Lisa Dellefave‐Castillo, et al.. (2021). Genomic Context Differs Between Human Dilated Cardiomyopathy and Hypertrophic Cardiomyopathy. Journal of the American Heart Association. 10(7). e019944–e019944. 10 indexed citations

12.

Halley, Meghan C., et al.. (2021). “It seems like COVID-19 now is the only disease present on Earth”: living with a rare or undiagnosed disease during the COVID-19 pandemic. Genetics in Medicine. 23(5). 837–844. 20 indexed citations

13.

Schymick, Jennifer C., Tina M. Cowan, Maura Ruzhnikov, et al.. (2021). Variable clinical severity in TANGO2 deficiency: Case series and literature review. American Journal of Medical Genetics Part A. 188(2). 473–487. 17 indexed citations

14.

Zaleta-Rivera, Kathia, Alexandra Dainis, Alexandre J. S. Ribeiro, et al.. (2019). Allele-Specific Silencing Ameliorates Restrictive Cardiomyopathy Attributable to a Human Myosin Regulatory Light Chain Mutation. Circulation. 140(9). 765–778. 34 indexed citations

15.

Kumar, Akash, Diane B. Zastrow, Elijah Kravets, et al.. (2019). Extracutaneous manifestations in phacomatosis cesioflammea and cesiomarmorata: Case series and literature review. American Journal of Medical Genetics Part A. 179(6). 966–977. 16 indexed citations

16.

Zastrow, Diane B., Jennefer N. Kohler, Devon Bonner, et al.. (2019). A toolkit for genetics providers in follow‐up of patients with non‐diagnostic exome sequencing. Journal of Genetic Counseling. 28(2). 213–228. 5 indexed citations

17.

Ha, Le Dung, et al.. (2018). Electrocardiographic left atrial abnormalities predict cardiovascular mortality. Journal of Electrocardiology. 51(4). 652–657. 4 indexed citations

18.

Kobayashi, Yukari, Yukari Kobayashi, Matthew T. Wheeler, et al.. (2017). Left atrial function and phenotypes in asymmetric hypertrophic cardiomyopathy. Echocardiography. 34(6). 843–850. 8 indexed citations

19.

Dewey, Frederick E., Marco Pérez, Matthew T. Wheeler, et al.. (2010). Gene Coexpression Network Topology of Cardiac Development, Hypertrophy, and Failure. Circulation Cardiovascular Genetics. 4(1). 26–35. 71 indexed citations

20.

Chutkow, William A., Jielin Pu, Matthew T. Wheeler, et al.. (2002). Episodic coronary artery vasospasm and hypertension develop in the absence of Sur2 KATP channels. Journal of Clinical Investigation. 110(2). 203–208. 11 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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