David J. Cohen

2.3k total citations
7 papers, 226 citations indexed

About

David J. Cohen is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David J. Cohen has authored 7 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David J. Cohen's work include Coronary Interventions and Diagnostics (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). David J. Cohen is often cited by papers focused on Coronary Interventions and Diagnostics (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). David J. Cohen collaborates with scholars based in United States, Canada and France. David J. Cohen's co-authors include Valentı́n Fuster, Lynn A. Sleeper, Michael E. Farkouh, Michaël Domanski, George Dangas, Elizabeth A. Magnuson, Elizabeth M. Mahoney, Victoria Muratov, Craig R. Smith and Sonja M. McKinlay and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and American Heart Journal.

In The Last Decade

David J. Cohen

5 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Cohen United States 4 181 163 81 28 27 7 226
Frank Towae Germany 6 136 0.8× 251 1.5× 128 1.6× 21 0.8× 13 0.5× 13 323
Jeremy Butts United Kingdom 3 247 1.4× 235 1.4× 126 1.6× 8 0.3× 27 1.0× 3 294
José Galcerá-Tomás Spain 11 49 0.3× 255 1.6× 59 0.7× 12 0.4× 29 1.1× 20 305
Matthias Hochadel Germany 9 141 0.8× 259 1.6× 105 1.3× 23 0.8× 40 1.5× 16 321
C Edwards United States 2 108 0.6× 254 1.6× 151 1.9× 14 0.5× 6 0.2× 4 316
Christine Mars United Kingdom 4 149 0.8× 316 1.9× 35 0.4× 14 0.5× 38 1.4× 7 355
Mitchell W. Krucoff United States 12 140 0.8× 312 1.9× 144 1.8× 12 0.4× 15 0.6× 19 347
Ellis L. Jones United States 6 213 1.2× 219 1.3× 109 1.3× 12 0.4× 21 0.8× 8 289
Étienne Aliot France 12 69 0.4× 355 2.2× 80 1.0× 20 0.7× 21 0.8× 20 383
Jonathan Blaxill United Kingdom 6 86 0.5× 217 1.3× 86 1.1× 28 1.0× 9 0.3× 9 245

Countries citing papers authored by David J. Cohen

Since Specialization
Citations

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

Fields of papers citing papers by David J. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Cohen. 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 David J. Cohen. The network helps show where David J. Cohen may publish in the future.

Co-authorship network of co-authors of David J. Cohen

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

All Works

7 of 7 papers shown
1.
Magnuson, Elizabeth A., Michael E. Farkouh, Valentı́n Fuster, et al.. (2013). Cost-Effectiveness of Percutaneous Coronary Intervention With Drug Eluting Stents Versus Bypass Surgery for Patients With Diabetes Mellitus and Multivessel Coronary Artery Disease. Circulation. 127(7). 820–831. 86 indexed citations
2.
Bansilal, Sameer, Michael E. Farkouh, Whady Hueb, et al.. (2012). The Future REvascularization Evaluation in patients with Diabetes mellitus: Optimal management of Multivessel disease (FREEDOM) trial: Clinical and angiographic profile at study entry. American Heart Journal. 164(4). 591–599. 23 indexed citations
3.
Khurana, Rohit, Sharon‐Lise T. Normand, Treacy S. Silbaugh, et al.. (2010). INDEPENDENT US VALIDATION OF THE BRITISH COLUMBIA PCI RISK SCORE. Journal of the American College of Cardiology. 55(10). A134.E1261–A134.E1261.
4.
Farkouh, Michael E., George Dangas, Martin B. Leon, et al.. (2008). Design of the Future REvascularization Evaluation in patients with Diabetes mellitus: Optimal management of Multivessel disease (FREEDOM) Trial. American Heart Journal. 155(2). 215–223. 113 indexed citations
5.
Bakhai, Ameet, et al.. (2003). The impact of diabetes on clinical and economic outcomes of percutaneous coronary intervention in the elderly: A population-based analysis. Journal of the American College of Cardiology. 41(6). 524–524.
6.
Périsse, Didier & David J. Cohen. (2003). Suicide des jeunes : un point sur les facteurs de risque. ˜Le œCarnet psy. n° 85(8). 29–31. 3 indexed citations
7.
Siebert, Uwe, et al.. (2001). Die Problematik der chronischen koronaren Restenose unter klinischem und ökonomischem Gesichtspunkt - Potenzial der intrakoronaren Brachytherapie. DMW - Deutsche Medizinische Wochenschrift. 126(15). 440–444. 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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