Michael E. Brown

1.0k total citations
31 papers, 693 citations indexed

About

Michael E. Brown is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Michael E. Brown has authored 31 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 9 papers in Surgery and 6 papers in Epidemiology. Recurrent topics in Michael E. Brown's work include Cardiac Valve Diseases and Treatments (5 papers), Infective Endocarditis Diagnosis and Management (5 papers) and Atrial Fibrillation Management and Outcomes (3 papers). Michael E. Brown is often cited by papers focused on Cardiac Valve Diseases and Treatments (5 papers), Infective Endocarditis Diagnosis and Management (5 papers) and Atrial Fibrillation Management and Outcomes (3 papers). Michael E. Brown collaborates with scholars based in United States, United Kingdom and Germany. Michael E. Brown's co-authors include Jeffrey N. Rottman, Gemin Ni, Ivan K. Crosby, John A. Kern, Mohammed Quader, Alan M. Speir, Damien J. LaPar, Jeffrey Rich, Gorav Ailawadi and Irving L. Kron and has published in prestigious journals such as New England Journal of Medicine, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Michael E. Brown

29 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael E. Brown United States 14 378 134 86 74 62 31 693
Terry Thompson Canada 12 334 0.9× 57 0.4× 79 0.9× 61 0.8× 113 1.8× 30 705
Richard Langendorf United States 25 1.5k 4.0× 284 2.1× 93 1.1× 57 0.8× 32 0.5× 74 1.8k
Karl Mischke Germany 19 713 1.9× 180 1.3× 113 1.3× 33 0.4× 93 1.5× 62 1.1k
Raymond Yee Canada 26 2.1k 5.7× 347 2.6× 62 0.7× 26 0.4× 81 1.3× 74 2.4k
James J. Milavetz United States 12 448 1.2× 163 1.2× 73 0.8× 178 2.4× 49 0.8× 17 830
Bruno Martinelli Brazil 12 55 0.1× 105 0.8× 80 0.9× 8 0.1× 47 0.8× 60 520
Richard Boyer United States 13 65 0.2× 180 1.3× 23 0.3× 17 0.2× 45 0.7× 35 449
Jae‐Young Han South Korea 15 107 0.3× 124 0.9× 117 1.4× 30 0.4× 36 0.6× 98 895
Sung W. Lee United States 13 495 1.3× 44 0.3× 115 1.3× 140 1.9× 25 0.4× 34 830
Thomas Hilbel Germany 14 423 1.1× 80 0.6× 54 0.6× 13 0.2× 38 0.6× 50 677

Countries citing papers authored by Michael E. Brown

Since Specialization
Citations

This map shows the geographic impact of Michael E. Brown'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. Brown 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. Brown more than expected).

Fields of papers citing papers by Michael E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Michael E. Brown. A scholar is included among the top collaborators of Michael E. Brown 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. Brown. Michael E. Brown 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.
2.
Lown, Mark, Michael E. Brown, Chloë Brown, et al.. (2020). Machine learning detection of Atrial Fibrillation using wearable technology. PLoS ONE. 15(1). e0227401–e0227401. 48 indexed citations
3.
Lown, Mark, Arthur Yue, Benoy N. Shah, et al.. (2018). Screening for Atrial Fibrillation Using Economical and Accurate Technology (From the SAFETY Study). The American Journal of Cardiology. 122(8). 1339–1344. 39 indexed citations
4.
Brown, Michael E., et al.. (2017). Labeling of neuronal morphology using custom diolistic techniques. Journal of Neuroscience Methods. 282. 43–51. 2 indexed citations
5.
LaPar, Damien J., Jeffrey Rich, James M. Isbell, et al.. (2015). Preoperative Renal Function Predicts Hospital Costs and Length of Stay in Coronary Artery Bypass Grafting. The Annals of Thoracic Surgery. 101(2). 606–612. 13 indexed citations
6.
Brown, Michael E., et al.. (2014). Acute Anterior ST-Elevation Myocardial Infarction and Electrical Storm Secondary to Nondominant Right Coronary Artery Occlusion. Texas Heart Institute Journal. 41(3). 335–337. 5 indexed citations
7.
McClure, Matthew W., Eric D. Schwartz, Alfred A. Bové, et al.. (2012). PREVALENCE AND MECHANISM OF PULMONARY HYPERTENSION IN CHRONIC HEMODIALYSIS BY INVASIVE MEASUREMENTS. Journal of the American College of Cardiology. 59(13). E1618–E1618.
8.
Ricci, Marco, et al.. (2009). Multiple Valve Surgery with Beating Heart Technique. The Annals of Thoracic Surgery. 87(2). 527–531. 25 indexed citations
9.
Salerno, Tomás A., et al.. (2009). Resultados da abordagem transeptal para a valva mitral com coração batendo. Brazilian Journal of Cardiovascular Surgery. 24(1). 4–10. 6 indexed citations
10.
Salerno, Tomás A., et al.. (2009). Efficacy, Feasibility, and Pitfalls of Transseptal Approach in Beating-Heart Mitral Valve Surgery. Journal of Cardiac Surgery. 24(5). 495–498. 9 indexed citations
11.
Ricci, Marco, et al.. (2009). Complex Aortic Valve Surgery for Endocarditis Using the Beating-Heart Technique. Innovations Technology and Techniques in Cardiothoracic and Vascular Surgery. 4(2). 106–112. 2 indexed citations
12.
Brown, Michael E. & Michael Ariel. (2008). Topography and Response Timing of Intact Cerebellum Stained With Absorbance Voltage-Sensitive Dye. Journal of Neurophysiology. 101(1). 474–490. 12 indexed citations
13.
LoVecchio, Frank, et al.. (2007). Outcomes after Isolated Mirtazapine (Remeron™) Supratherapeutic Ingestions. Journal of Emergency Medicine. 34(1). 77–78. 17 indexed citations
14.
Rottman, Jeffrey N., Gemin Ni, & Michael E. Brown. (2006). Echocardiographic Evaluation of Ventricular Function in Mice. Echocardiography. 24(1). 83–89. 82 indexed citations
15.
Crabbe, Thomas, A. Neil C. Weir, Michael E. Brown, et al.. (1996). The Secretion of Active Recombinant Human Gastric Lipase bySaccharomyces cerevisiae. Protein Expression and Purification. 7(3). 229–236. 18 indexed citations
16.
Antaki, James F., et al.. (1995). An Improved Left Ventricular Cannula for Chronic Dynamic Blood Pump Support. Artificial Organs. 19(7). 671–675. 13 indexed citations
17.
Brown, Michael E., et al.. (1995). Combined use of aprotinin and a heparin-bonded cardiopulmonary bypass system for aortic aneurysm repair. Journal of Cardiothoracic and Vascular Anesthesia. 9(6). 728–730. 1 indexed citations
18.
Brown, Michael E., et al.. (1994). In Vitro Evaluation of Continuous Mixed Venous Oxygen Saturation and Hematocrit Monitors. Journal of ExtraCorporeal Technology. 26(4). 189–193. 10 indexed citations
19.
Höhmann, Christine F., Gary L. Wenk, Pedro R. Löwenstein, Michael E. Brown, & Joseph T. Coyle. (1987). Age-related recurrence of basal forebrain lesion-induced cholinergic deficits. Neuroscience Letters. 82(3). 253–259. 35 indexed citations
20.
Brown, Michael E.. (1984). The effect of plyometric training on the vertical jump of high school boys' basketball players. University Microfilms International eBooks. 2 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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