David I. Silverman

4.1k total citations
53 papers, 2.9k citations indexed

About

David I. Silverman is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, David I. Silverman has authored 53 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Surgery. Recurrent topics in David I. Silverman's work include Atrial Fibrillation Management and Outcomes (19 papers), Cardiac Arrhythmias and Treatments (14 papers) and Cardiovascular Function and Risk Factors (11 papers). David I. Silverman is often cited by papers focused on Atrial Fibrillation Management and Outcomes (19 papers), Cardiac Arrhythmias and Treatments (14 papers) and Cardiovascular Function and Risk Factors (11 papers). David I. Silverman collaborates with scholars based in United States, Poland and United Kingdom. David I. Silverman's co-authors include Warren J. Manning, Pamela S. Douglas, Sarah E. Katz, Marilyn F. Riley, Warren J. Manning, John A. Dracup, Patricia C. Come, Peter Oettgen, Stephen P. Gordon and Harlan M. Krumholz and has published in prestigious journals such as New England Journal of Medicine, JAMA and Circulation.

In The Last Decade

David I. Silverman

52 papers receiving 2.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David I. Silverman 2.1k 492 353 322 277 53 2.9k
Neil Chapman 1.2k 0.5× 567 1.2× 235 0.7× 245 0.8× 288 1.0× 46 2.3k
Mehmet Özaydın 3.2k 1.5× 270 0.5× 503 1.4× 101 0.3× 275 1.0× 114 3.9k
Simona Barlera 2.9k 1.4× 502 1.0× 706 2.0× 144 0.4× 368 1.3× 77 3.9k
Faye L. Lopez 1.9k 0.9× 252 0.5× 221 0.6× 101 0.3× 149 0.5× 46 2.6k
Thomas Neunteufl 1.6k 0.8× 204 0.4× 522 1.5× 92 0.3× 402 1.5× 47 2.2k
Bertil Andrén 1.8k 0.9× 455 0.9× 427 1.2× 116 0.4× 236 0.9× 56 2.3k
Faye L. Norby 2.1k 1.0× 236 0.5× 252 0.7× 132 0.4× 183 0.7× 154 2.9k
S.W. Werns 1.0k 0.5× 371 0.8× 573 1.6× 118 0.4× 177 0.6× 62 2.3k
Jay M. Sullivan 1.5k 0.7× 298 0.6× 491 1.4× 149 0.5× 242 0.9× 72 2.8k
Saverio Iacopino 3.1k 1.5× 136 0.3× 394 1.1× 93 0.3× 182 0.7× 158 3.6k

Countries citing papers authored by David I. Silverman

Since Specialization
Citations

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

Fields of papers citing papers by David I. Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David I. Silverman

This figure shows the co-authorship network connecting the top 25 collaborators of David I. Silverman. A scholar is included among the top collaborators of David I. Silverman 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 I. Silverman. David I. Silverman 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.
Hussain, Nasir, et al.. (2020). Non-traditional factors affecting referral for coronary angiography following SPECT myocardial perfusion imaging. Journal of Nuclear Cardiology. 29(3). 1141–1155. 1 indexed citations
2.
McMahon, Sean, et al.. (2020). Tablet-Based Limited Echocardiography to Reduce Sonographer Scan and Decontamination Time during the COVID-19 Pandemic. Journal of the American Society of Echocardiography. 33(7). 895–899. 20 indexed citations
3.
Kumar, Manish, Anjali Sharma, Mark Marieb, David I. Silverman, & Edmond M. Cronin. (2019). Hypokalemia unmasking underlying premature ventricular contraction induced polymorphic ventricular tachycardia: Low potassium is not always the culprit!. Indian Pacing and Electrophysiology Journal. 20(1). 41–45. 1 indexed citations
4.
Czick, Maureen E., et al.. (2016). Atrial Fibrillation: The Science behind Its Defiance. Aging and Disease. 7(5). 635–635. 13 indexed citations
5.
O’Rourke, Daniel J., et al.. (2011). Predictors of rapid aortic dilatation in adults with a bicuspid aortic valve.. PubMed. 20(3). 292–8. 7 indexed citations
6.
Du, Jianyang, Jia Xie, Zheng Zhang, et al.. (2010). TRPM7-Mediated Ca 2+ Signals Confer Fibrogenesis in Human Atrial Fibrillation. Circulation Research. 106(5). 992–1003. 267 indexed citations
7.
Silverman, David I., et al.. (2009). Management of Takayasu Arteritis During Pregnancy. Journal of Clinical Hypertension. 11(7). 383–385. 5 indexed citations
8.
9.
Hager, W, et al.. (2002). Left ventricular function in atrial fibrillation during overdrive pacing. American Heart Journal. 143(5). 827–832. 3 indexed citations
10.
Viswanathan, Kartik, et al.. (2001). Effect of cardioversion of atrial fibrillation on improvement in left ventricular performance. The American Journal of Cardiology. 88(4). 439–441. 27 indexed citations
11.
Danias, Peter G., et al.. (1998). Likelihood of Spontaneous Conversion of Atrial Fibrillation to Sinus Rhythm. Journal of the American College of Cardiology. 31(3). 588–592. 127 indexed citations
12.
Danias, Peter G., et al.. (1998). Serum Cholesterol Levels Are Underevaluated and Undertreated. The American Journal of Cardiology. 81(11). 1353–1356. 27 indexed citations
13.
Raymond, Ronald J., et al.. (1998). Cardiac performance early after cardioversion from atrial fibrillation. American Heart Journal. 136(3). 435–442. 65 indexed citations
14.
Sacks, Frank M., et al.. (1995). Controlled trial of fish oil for regression of human coronary atherosclerosis. Journal of the American College of Cardiology. 25(7). 1492–1498. 184 indexed citations
15.
Manning, Warren J., et al.. (1995). Temporal dependence of the return of atrial mechanical function on the mode of cardioversion of atrial fibrillation to sinus rhythm. The American Journal of Cardiology. 75(8). 624–626. 94 indexed citations
16.
Manning, Warren J., Sarah E. Katz, Pamela S. Douglas, & David I. Silverman. (1993). Atrial ejection force: A noninvasive assessment of atrial systolic function. Journal of the American College of Cardiology. 22(1). 221–225. 174 indexed citations
17.
Silverman, David I., et al.. (1993). Efficacy of Type 1C Antiarrhythmic Agents for Treatment of Resistant Atrial Fibrillation. Pacing and Clinical Electrophysiology. 16(12). 2235–2240. 10 indexed citations
18.
Silverman, David I., Geoffrey S. Ginsburg, & Richard C. Pasternak. (1993). High-density lipoprotein subfractions. The American Journal of Medicine. 94(6). 636–645. 78 indexed citations
19.
Manning, Warren J., David I. Silverman, Stephen P. Gordon, Harlan M. Krumholz, & Pamela S. Douglas. (1993). Cardioversion from Atrial Fibrillation without Prolonged Anticoagulation with Use of Transesophageal Echocardiography to Exclude the Presence of Atrial Thrombi. New England Journal of Medicine. 328(11). 750–755. 229 indexed citations
20.
Reis, Gregg J., David I. Silverman, Mary Ellen Sipperly, et al.. (1990). Effects of two types of fish oil supplements on serum lipids and plasma phospholipid fatty acids in coronary artery disease. The American Journal of Cardiology. 66(17). 1171–1175. 42 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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