Dan Gilon

11.4k citations
179 papers · 4.3k · h-index 34

Impact in

Papers in

Dan Gilon

174 papers receiving 4.1k citations

Peers

Dan Gilon
Comparison fields: 5 of 139
  • Cardiology and Cardiovascular Medicine 2.7k
  • Pulmonary and Respiratory Medicine 1.8k
  • Critical Care and Intensive Care Medicine 186
  • Surgery 1.4k
  • Internal Medicine 100
Replace Paul R. Forfia with:
Paul R. Forfia United States
Lori B. Daniels United States
Damien Logeart France
Tómas Guðbjartsson Iceland
Martin Hülsmann Austria
Elizabeth Lee-Lewandrowski United States
Mervyn S. Gotsman Israel
Stephen R. Ramee United States
Michael Cleman United States
Eduardo de Marchena United States
Dan Gilon relative to Paul R. Forfia United States Paul R. Forfia's profile →
Citations per field
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Paul R. Forfia · 1×
Citations per year

Countries citing papers authored by Dan Gilon

Since Specialization
Citations

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

Fields of papers citing papers by Dan Gilon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Gilon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dan Gilon Line = papers co-authored together Dan Gilon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002407
2 2011299
3 2002201
4 2002173
5 2013158
6 2012144
7 2018132
8 2004107
9 200796
10 199894
11 199792
12 199990
13 200990
14 200281
15 199863
16 201561
17 200860
18 201357
19 201757
20 201856

About Dan Gilon

Dan Gilon is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 179 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (54 papers), Aortic Disease and Treatment Approaches (38 papers), Cardiac Imaging and Diagnostics (32 papers), Cardiac Structural Anomalies and Repair (24 papers), Cardiovascular Function and Risk Factors (24 papers), Cardiac, Anesthesia and Surgical Outcomes (20 papers), Aortic aneurysm repair treatments (19 papers) and Infective Endocarditis Diagnosis and Management (17 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.7k citations), Pulmonary and Respiratory Medicine (1.8k citations), Critical Care and Intensive Care Medicine (186 citations), Surgery (1.4k citations) and Internal Medicine (100 citations). Dan Gilon has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Kim A. Eagle, Christoph Nienaber, Eduardo Bossone, Rоnen Beeri, Eric M. Isselbacher, Jeanna V. Cooper, Rajendra H. Mehta, Dean E. Smith, Giora Landesberg and Toru Suzuki. Their work appears in journals such as Journal of the American College of Cardiology, The American Journal of Cardiology, Circulation, Cardiology and American Heart Journal.

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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