Michael E. Matheny

15.9k total citations · 2 hit papers
265 papers, 9.7k citations indexed

About

Michael E. Matheny is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Michael E. Matheny has authored 265 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Epidemiology, 39 papers in Cardiology and Cardiovascular Medicine and 37 papers in Physiology. Recurrent topics in Michael E. Matheny's work include Acute Kidney Injury Research (34 papers), Regulation of Appetite and Obesity (33 papers) and Adipose Tissue and Metabolism (29 papers). Michael E. Matheny is often cited by papers focused on Acute Kidney Injury Research (34 papers), Regulation of Appetite and Obesity (33 papers) and Adipose Tissue and Metabolism (29 papers). Michael E. Matheny collaborates with scholars based in United States, China and United Kingdom. Michael E. Matheny's co-authors include Philip J. Scarpace, Nihal Tümer, Edward D. Siew, Frederic S. Resnic, P. J. Scarpace, Danielle Whicher, Sonoo Thadaney Israni, T. Alp İkizler, Josh F. Peterson and Sharon E. Davis and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

Michael E. Matheny

248 papers receiving 9.4k 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.

Contemporary Incidence, Predictors, and Outcomes of Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Interventions

2014 424 citations Michael E. Matheny, John S. Rumsfeld et al. profile →
Automated Identification of Postoperative Complications Within an Electronic Medical Record Using Natural Language Processing

2011 346 citations Fern FitzHenry, Michael E. Matheny et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael E. Matheny United States	52	1.9k	1.9k	1.7k	1.6k	1.2k	265	9.7k
Martin Landray United Kingdom	37	1.3k 0.7×	1.3k 0.7×	126 0.1×	1.4k 0.8×	2.1k 1.8×	124	11.4k
Wisit Cheungpasitporn United States	45	1.6k 0.8×	2.3k 1.2×	118 0.1×	887 0.5×	1.7k 1.4×	538	9.4k
Alexandra Kautzky‐Willer Austria	52	1.8k 0.9×	580 0.3×	408 0.2×	1.8k 1.1×	1.8k 1.5×	461	11.3k
Patricia Wahl United States	44	1.2k 0.6×	1.4k 0.8×	406 0.2×	1.4k 0.9×	1.2k 1.0×	90	7.7k
Carlos Iribarren United States	63	1.6k 0.8×	2.0k 1.1×	184 0.1×	2.7k 1.7×	3.2k 2.8×	227	13.0k
Richard Stevens United Kingdom	45	1.6k 0.9×	945 0.5×	159 0.1×	766 0.5×	2.8k 2.4×	210	11.3k
Charumathi Sabanayagam Singapore	49	1.7k 0.9×	741 0.4×	175 0.1×	629 0.4×	892 0.8×	264	10.7k
Vijay Viswanathan India	53	3.1k 1.6×	342 0.2×	195 0.1×	1.9k 1.2×	1.5k 1.3×	369	13.5k
E Shyong Tai Singapore	58	2.3k 1.2×	539 0.3×	200 0.1×	2.3k 1.4×	1.6k 1.4×	361	13.1k
Armand R. J. Girbes Netherlands	47	1.9k 1.0×	963 0.5×	82 0.0×	1.3k 0.8×	1.4k 1.2×	233	8.6k

Countries citing papers authored by Michael E. Matheny

Since Specialization

Citations

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

Fields of papers citing papers by Michael E. Matheny

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael E. Matheny

This figure shows the co-authorship network connecting the top 25 collaborators of Michael E. Matheny. A scholar is included among the top collaborators of Michael E. Matheny 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 Michael E. Matheny. Michael E. Matheny 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

Matheny, Michael E., Jennifer C. Goldsack, Suchi Saria, et al.. (2025). Artificial Intelligence In Health And Health Care: Priorities For Action. Health Affairs. 44(2). 163–170. 13 indexed citations

Davis, Sharon E., Elizabeth Sullivan, Jinyi Zhu, et al.. (2025). Cost-Effectiveness of Team-Based Coaching With Surveillance for Prevention of Acute Kidney Injuries. JAMA Network Open. 8(4). e252503–e252503. 2 indexed citations

Reese, Thomas S., Andrew Wiese, Ashley A. Leech, et al.. (2025). Adapting a Risk Prediction Tool for Neonatal Opioid Withdrawal Syndrome. PEDIATRICS. 155(4).

Girotra, Saket, Mary Vaughan‐Sarrazin, Brian C. Lund, et al.. (2025). Long‐Term Outcomes of Peripheral Artery Disease in Veterans: Analysis of the Peripheral Artery Disease Long‐Term Survival Study (PEARLS). Journal of the American Heart Association. 14(7). e038403–e038403.

Al-Garadi, Mohammed Ali, Michele L. Lenoue-Newton, Michael E. Matheny, et al.. (2025). Automated Extraction of Mortality Information From Publicly Available Sources Using Large Language Models: Development and Evaluation Study. Journal of Medical Internet Research. 27. e71113–e71113.

Gregg, L. Parker, et al.. (2023). Predictors, Disparities, and Facility-Level Variation: SGLT2 Inhibitor Prescription Among US Veterans With CKD. American Journal of Kidney Diseases. 82(1). 53–62.e1. 22 indexed citations

Robinson‐Cohen, Cassianne, Bryce Rowan, Jing He, et al.. (2023). Genome-Wide Association Study of CKD Progression. Journal of the American Society of Nephrology. 34(9). 1547–1559. 16 indexed citations

Lewis, Jennifer A., Lauren R. Samuels, Jason Denton, et al.. (2022). The Association of Health Care System Resources With Lung Cancer Screening Implementation. CHEST Journal. 162(3). 701–711. 4 indexed citations

Ho, P. Michael, Colin O’Donnell, Marina McCreight, et al.. (2022). Multifaceted Intervention to Improve P2Y12 Inhibitor Adherence After Percutaneous Coronary Intervention: A Stepped Wedge Trial. Journal of the American Heart Association. 11(13). e024342–e024342. 4 indexed citations

10.

Brown, Jeremiah R., John S. Rumsfeld, Benjamin A. Steinberg, et al.. (2021). Association of Wearable Device Use With Pulse Rate and Health Care Use in Adults With Atrial Fibrillation. JAMA Network Open. 4(5). e215821–e215821. 30 indexed citations

11.

Parr, Sharidan K., Amy M. Perkins, Robert A. Greevy, et al.. (2021). Comparison of COVID-19 versus influenza on the incidence, features, and recovery from acute kidney injury in hospitalized United States Veterans. Kidney International. 100(4). 894–905. 26 indexed citations

12.

Majithia, Arjun, Michael E. Matheny, Sourbha S. Dani, et al.. (2020). Impact of early surveillance on safety signal identification in the CathPCI DELTA study. SHILAP Revista de lepidopterología. 2(1). e000047–e000047. 4 indexed citations

13.

Reeves, Ruth, Brett R. South, Glenn T. Gobbel, et al.. (2018). Annotating Social Determinants of Health and Functional Status Information Using Publicly Accessible Corpora.. AMIA. 1 indexed citations

14.

Acedillo, Rey, Ron Wald, Eric McArthur, et al.. (2017). Characteristics and Outcomes of Patients Discharged Home from an Emergency Department with AKI. Clinical Journal of the American Society of Nephrology. 12(8). 1215–1225. 25 indexed citations

15.

Ohno‐Machado, Lucila, George Hripcsak, Michael E. Matheny, Yuan Wu, & Xiaoqian Jiang. (2016). Calibration of Predictive Models for Clinical Decision Making: Personalizing Prevention, Treatment, and Disease Progression.. AMIA. 1 indexed citations

16.

FitzHenry, Fern, Jason Denton, Jonathan R. Nebeker, et al.. (2015). Transforming the National Department of Veterans Affairs Data Warehouse to the OMOP Common Data Model.. AMIA. 1 indexed citations

17.

Siew, Edward D. & Michael E. Matheny. (2015). Choice of Reference Serum Creatinine in Defining Acute Kidney Injury. The Nephron journals/Nephron journals. 131(2). 107–112. 113 indexed citations

18.

Liu, Mei, Yonghui Wu, Yukun Chen, et al.. (2012). Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs. Journal of the American Medical Informatics Association. 19(e1). e28–e35. 229 indexed citations

19.

Tiroch, Klaus, et al.. (2008). Risk Predictors of Retroperitoneal Hemorrhage Following Percutaneous Coronary Intervention. The American Journal of Cardiology. 102(11). 1473–1476. 48 indexed citations

20.

Scarpace, P. J. & Michael E. Matheny. (1997). Leptin increases uncoupling protein expression in brown adipose tissue along with energy expenditure. The FASEB Journal. 11(3). 374. 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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