Michael R. Mathis

4.6k total citations
80 papers, 1.7k citations indexed

About

Michael R. Mathis is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael R. Mathis has authored 80 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cardiology and Cardiovascular Medicine, 29 papers in Surgery and 24 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael R. Mathis's work include Cardiac, Anesthesia and Surgical Outcomes (42 papers), Hemodynamic Monitoring and Therapy (15 papers) and Respiratory Support and Mechanisms (14 papers). Michael R. Mathis is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (42 papers), Hemodynamic Monitoring and Therapy (15 papers) and Respiratory Support and Mechanisms (14 papers). Michael R. Mathis collaborates with scholars based in United States, United Kingdom and Argentina. Michael R. Mathis's co-authors include Sachin Kheterpal, Amy Shanks, Kevin K. Tremper, Douglas A. Colquhoun, Satya Krishna Ramachandran, Milo Engoren, Leif Saager, Michelle T. Vaughn, Michelle Morris and Robert E. Freundlich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Surgery and Scientific Reports.

In The Last Decade

Michael R. Mathis

72 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael R. Mathis United States	21	744	675	579	425	168	80	1.7k
Teus H. Kappen Netherlands	22	1.4k 1.9×	1.3k 1.9×	573 1.0×	225 0.5×	128 0.8×	50	2.6k
Robert E. Freundlich United States	16	516 0.7×	469 0.7×	308 0.5×	334 0.8×	144 0.9×	85	1.3k
Ho Geol Ryu South Korea	22	707 1.0×	283 0.4×	234 0.4×	276 0.6×	110 0.7×	117	1.5k
A. Schmitz Switzerland	27	982 1.3×	672 1.0×	647 1.1×	587 1.4×	208 1.2×	87	2.0k
Christian S. Meyhoff Denmark	26	946 1.3×	799 1.2×	304 0.5×	566 1.3×	457 2.7×	125	2.0k
Jacek B. Cywiński United States	27	1.9k 2.6×	1.3k 1.9×	363 0.6×	279 0.7×	70 0.4×	91	2.8k
Sergi Sabaté Spain	19	1.1k 1.4×	955 1.4×	747 1.3×	1.0k 2.4×	145 0.9×	72	2.2k
In‐Ae Song South Korea	21	423 0.6×	264 0.4×	284 0.5×	170 0.4×	118 0.7×	185	1.4k
Luíz Marcelo Sá Malbouisson Brazil	24	664 0.9×	397 0.6×	275 0.5×	799 1.9×	429 2.6×	128	2.1k
Minna Tallgren Finland	19	827 1.1×	327 0.5×	385 0.7×	219 0.5×	273 1.6×	39	1.8k

Countries citing papers authored by Michael R. Mathis

Since Specialization

Citations

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

Fields of papers citing papers by Michael R. Mathis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael R. Mathis

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

MacKay, Emily J., Bo Zhang, Jennifer S. Beaty, et al.. (2025). Practice Pattern Variability in the Use of Pulmonary Arterial Catheters in Cardiac Surgery. Journal of Cardiothoracic and Vascular Anesthesia. 39(12). 3268–3276.

Mott, Nicole M., Erin Kim, Shawna N. Smith, et al.. (2025). Right-Sizing Testing Before Elective Surgery for Patients With Low Risk. JAMA Network Open. 8(10). e2535750–e2535750.

Mathis, Michael R., et al.. (2024). A Comparison of Interpretable Machine Learning Approaches to Identify Outpatient Clinical Phenotypes Predictive of First Acute Myocardial Infarction. Diagnostics. 14(16). 1741–1741.

Douville, Nicholas J., Lisa Bastarache, Jing He, et al.. (2024). Polygenic Score for the Prediction of Postoperative Nausea and Vomiting: A Retrospective Derivation and Validation Cohort Study. Anesthesiology. 142(1). 52–71. 8 indexed citations

Douville, Nicholas J., Michael R. Mathis, Sachin Kheterpal, et al.. (2024). Perioperative Acute Kidney Injury: Diagnosis, Prediction, Prevention, and Treatment. Anesthesiology. 142(1). 180–201. 4 indexed citations

Mathis, Michael R., Kamrouz Ghadimi, Elizabeth S. Jewell, et al.. (2024). Heart failure diagnostic accuracy, intraoperative fluid management, and postoperative acute kidney injury: a single-centre prospective observational study. British Journal of Anaesthesia. 134(1). 32–44.

Leis, Aleda M., Michael R. Mathis, Sachin Kheterpal, et al.. (2023). Cardiometabolic disease and obesity patterns differentially predict acute kidney injury after total joint replacement: a retrospective analysis. British Journal of Anaesthesia. 131(1). 37–46. 1 indexed citations

Kendale, Samir, et al.. (2023). Machine Learning for the Prediction of Procedural Case Durations Developed Using a Large Multicenter Database: Algorithm Development and Validation Study. PubMed. 2. e44909–e44909. 6 indexed citations

Mathis, Michael R., Milo Engoren, Aaron M. Williams, et al.. (2022). Prediction of Postoperative Deterioration in Cardiac Surgery Patients Using Electronic Health Record and Physiologic Waveform Data. Anesthesiology. 137(5). 586–601. 14 indexed citations

10.

Chiu, Catherine, Nicholas Fong, Daniel Lazzareschi, et al.. (2022). Fluids, vasopressors, and acute kidney injury after major abdominal surgery between 2015 and 2019: a multicentre retrospective analysis. British Journal of Anaesthesia. 129(3). 317–326. 56 indexed citations

11.

Bardia, Amit, Ranjit Deshpande, George Michel, et al.. (2022). Demonstration and Performance Evaluation of Two Novel Algorithms for Removing Artifacts From Automated Intraoperative Temperature Data Sets: Multicenter, Observational, Retrospective Study. SHILAP Revista de lepidopterología. 5(1). e37174–e37174. 1 indexed citations

12.

Golbus, Jessica R., Hyeon Joo, Allison M. Janda, et al.. (2022). Preoperative clinical diagnostic accuracy of heart failure among patients undergoing major noncardiac surgery: a single-centre prospective observational analysis. SHILAP Revista de lepidopterología. 4. 100113–100113. 6 indexed citations

13.

Ansari, Sardar, Richard P. Medlin, Steven L. Kronick, et al.. (2021). Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods. JMIR Medical Informatics. 9(4). e25066–e25066. 18 indexed citations

14.

Colquhoun, Douglas A., Aleda M. Leis, Amy Shanks, et al.. (2021). A Lower Tidal Volume Regimen during One-lung Ventilation for Lung Resection Surgery Is Not Associated with Reduced Postoperative Pulmonary Complications. Anesthesiology. 134(4). 562–576. 35 indexed citations

15.

Mathis, Michael R., Neal Duggal, Allison M. Janda, et al.. (2021). Reduced Echocardiographic Inotropy Index after Cardiopulmonary Bypass Is Associated With Complications After Cardiac Surgery: An Institutional Outcomes Study. Journal of Cardiothoracic and Vascular Anesthesia. 35(9). 2732–2742. 1 indexed citations

16.

Kheterpal, Sachin, Michelle T. Vaughn, Timur Dubovoy, et al.. (2020). Sugammadex versus Neostigmine for Reversal of Neuromuscular Blockade and Postoperative Pulmonary Complications (STRONGER). Anesthesiology. 132(6). 1371–1381. 171 indexed citations

17.

Douville, Nicholas J., Christopher Douville, Graciela Mentz, et al.. (2020). Clinically applicable approach for predicting mechanical ventilation in patients with COVID-19. British Journal of Anaesthesia. 126(3). 578–589. 20 indexed citations

18.

Schechtman, Samuel A., Michael R. Mathis, Aleda M. Leis, et al.. (2019). A retrospective analysis of factors associated with difficult endotracheal tube passage with use of the hyper-angled GlideScope blade. 3(2). e14–e14. 3 indexed citations

19.

Mathis, Michael R., Bhiken I. Naik, Robert E. Freundlich, et al.. (2019). Preoperative Risk and the Association between Hypotension and Postoperative Acute Kidney Injury. Anesthesiology. 132(3). 461–475. 150 indexed citations

20.

Freundlich, Robert E., et al.. (2013). A randomized trial of automated electronic alerts demonstrating improved reimbursable anesthesia time documentation. Journal of Clinical Anesthesia. 25(2). 110–114. 17 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