Mikhail Bourgoun

2.9k total citations
22 papers, 2.1k citations indexed

About

Mikhail Bourgoun is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Mikhail Bourgoun has authored 22 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Mikhail Bourgoun's work include Cardiovascular Function and Risk Factors (13 papers), Cardiac pacing and defibrillation studies (11 papers) and Cardiac Arrhythmias and Treatments (9 papers). Mikhail Bourgoun is often cited by papers focused on Cardiovascular Function and Risk Factors (13 papers), Cardiac pacing and defibrillation studies (11 papers) and Cardiac Arrhythmias and Treatments (9 papers). Mikhail Bourgoun collaborates with scholars based in United States, Denmark and United Kingdom. Mikhail Bourgoun's co-authors include Scott D. Solomon, Marc A. Pfeffer, Eric J. Velazquez, John J.V. McMurray, Lars Køber, Jalal K. Ghali, Arthur J. Moss, Anil Verma, J. Malcolm O. Arnold and Elyse Foster and has published in prestigious journals such as The Lancet, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Mikhail Bourgoun

22 papers receiving 2.1k citations

Peers

Mikhail Bourgoun
Goo-Yeong Cho South Korea
Tom Crake United Kingdom
Berrin Umman Türkiye
Wael AlJaroudi United States
Karl Fengler Germany
Goo-Yeong Cho South Korea
Mikhail Bourgoun
Citations per year, relative to Mikhail Bourgoun Mikhail Bourgoun (= 1×) peers Goo-Yeong Cho

Countries citing papers authored by Mikhail Bourgoun

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Bourgoun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikhail Bourgoun. 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 Mikhail Bourgoun. The network helps show where Mikhail Bourgoun may publish in the future.

Co-authorship network of co-authors of Mikhail Bourgoun

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Bourgoun. A scholar is included among the top collaborators of Mikhail Bourgoun 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 Mikhail Bourgoun. Mikhail Bourgoun 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.
Campbell, Patricia, Madoka Takeuchi, Mikhail Bourgoun, et al.. (2013). Right Ventricular Function, Pulmonary Pressure Estimation, and Clinical Outcomes in Cardiac Resynchronization Therapy. Circulation Heart Failure. 6(3). 435–442. 35 indexed citations
3.
Kuperstein, Rafael, Ilan Goldenberg, Arthur J. Moss, et al.. (2013). Left Atrial Volume and the Benefit of Cardiac Resynchronization Therapy in the MADIT-CRT Trial. Circulation Heart Failure. 7(1). 154–160. 30 indexed citations
4.
Shah, Amil M., Mikhail Bourgoun, Jagat Narula, Arnold F. Jacobson, & Scott D. Solomon. (2012). Influence of Ejection Fraction on the Prognostic Value of Sympathetic Innervation Imaging With Iodine-123 MIBG in Heart Failure. JACC. Cardiovascular imaging. 5(11). 1139–1146. 34 indexed citations
5.
Hsu, Jonathan C., Scott D. Solomon, Mikhail Bourgoun, et al.. (2012). Predictors of Super-Response to Cardiac Resynchronization Therapy and Associated Improvement in Clinical Outcome. Journal of the American College of Cardiology. 59(25). 2366–2373. 209 indexed citations
6.
Kutyifa, Valentina, Scott D. Solomon, Mikhail Bourgoun, et al.. (2012). Effects of cardiac resynchronization therapy on left ventricular mass and wall thickness in mild heart failure patients in MADIT-CRT. Heart Rhythm. 10(3). 354–360. 6 indexed citations
7.
Pouleur, Anne–Catherine, Dorit Knappe, Amil M. Shah, et al.. (2011). Relationship between improvement in left ventricular dyssynchrony and contractile function and clinical outcome with cardiac resynchronization therapy: the MADIT-CRT trial. European Heart Journal. 32(14). 1720–1729. 81 indexed citations
8.
Knappe, Dorit, Anne–Catherine Pouleur, Amil M. Shah, et al.. (2011). Dyssynchrony, Contractile Function, and Response to Cardiac Resynchronization Therapy. Circulation Heart Failure. 4(4). 433–440. 58 indexed citations
9.
Hung, Chung‐Lieh, Anil Verma, Hajime Uno, et al.. (2010). Longitudinal and Circumferential Strain Rate, Left Ventricular Remodeling, and Prognosis After Myocardial Infarction. Journal of the American College of Cardiology. 56(22). 1812–1822. 240 indexed citations
10.
Solomon, Scott D., Elyse Foster, Mikhail Bourgoun, et al.. (2010). Effect of Cardiac Resynchronization Therapy on Reverse Remodeling and Relation to Outcome. Circulation. 122(10). 985–992. 242 indexed citations
11.
Hung, Chung‐Lieh, Anil Verma, Mikhail Bourgoun, et al.. (2008). Abstract 2208: Role of Longitudinal and Circumferential Strain Rate in the Prediction of Left Ventricular Remodeling and Prognosis After Myocardial Infarction: The VALIANT Study. Circulation. 118. 1 indexed citations
12.
Shin, Sung‐Hee, Amira Hassanein, Maria Amigoni, et al.. (2008). Abstract 2249: Effects of Mechanical Asynchrony on Mitral Regurgitation After Acute Myocardial Infarction: The VALIANT Echo Study. Circulation. 1 indexed citations
13.
Verma, Anil, Alessandra Meris, Hicham Skali, et al.. (2008). Prognostic Implications of Left Ventricular Mass and Geometry Following Myocardial Infarction. JACC. Cardiovascular imaging. 1(5). 582–591. 206 indexed citations
14.
Meris, Alessandra, Maria Amigoni, Hajime Uno, et al.. (2008). Left atrial remodelling in patients with myocardial infarction complicated by heart failure, left ventricular dysfunction, or both: the VALIANT Echo Study. European Heart Journal. 30(1). 56–65. 112 indexed citations
15.
Anavekar, Nagesh S., Hicham Skali, Mikhail Bourgoun, et al.. (2008). Usefulness of Right Ventricular Fractional Area Change to Predict Death, Heart Failure, and Stroke Following Myocardial Infarction (from the VALIANT ECHO Study). The American Journal of Cardiology. 101(5). 607–612. 175 indexed citations
16.
Amigoni, Maria, Alessandra Meris, Jens Jakob Thune, et al.. (2007). Mitral regurgitation in myocardial infarction complicated by heart failure, left ventricular dysfunction, or both: prognostic significance and relation to ventricular size and function. European Heart Journal. 28(3). 326–333. 65 indexed citations
17.
Solomon, Scott D., Rajesh Janardhanan, Anil Verma, et al.. (2007). Effect of angiotensin receptor blockade and antihypertensive drugs on diastolic function in patients with hypertension and diastolic dysfunction: a randomised trial. The Lancet. 369(9579). 2079–2087. 254 indexed citations
18.
19.
Amigoni, Maria, Deepa Mangalat, Mikhail Bourgoun, et al.. (2005). Mitral regurgitation in myocardial infarction complicated by heart failure, left ventricular dysfunction, or both: Prognostic significance and relation to ventricular size and function. Journal of the American College of Cardiology. 45(3). 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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