Daniel Soffer

776 citations
31 papers · 527 · h-index 13

Impact in

Papers in

    • Antiplatelet Therapy and Cardiovascular Diseases 21
    • Acute Myocardial Infarction Research 3
    • Atrial Fibrillation Management and Outcomes 3
    • Lipoproteins and Cardiovascular Health 5
    • Coronary Interventions and Diagnostics 3

Daniel Soffer

30 papers receiving 514 citations

Peers

Daniel Soffer
Comparison fields: 5 of 43
  • Internal Medicine 82
  • Cardiology and Cardiovascular Medicine 404
  • Surgery 158
  • Pulmonary and Respiratory Medicine 79
  • Neurology 22
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Citations per year

Countries citing papers authored by Daniel Soffer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Soffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Soffer, 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 Daniel Soffer Line = papers co-authored together Daniel Soffer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019107
2 200371
3 200854
4 201846
5 201929
6 202023
7 202221
8 201921
9 202220
10 202217
11 200517
12
A new animal model for action myoclonus.
198613
13 202312
14 201912
15 200312
16 20239
17 20239
18 20189
19 20215
20 20184

About Daniel Soffer

Daniel Soffer is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pharmacology, Pulmonary and Respiratory Medicine and Internal Medicine, having authored 31 papers that have together received 527 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (21 papers), Lipoproteins and Cardiovascular Health (5 papers), Coronary Interventions and Diagnostics (3 papers), Acute Myocardial Infarction Research (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Pharmacology and Obesity Treatment (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Internal Medicine (82 citations), Cardiology and Cardiovascular Medicine (404 citations), Surgery (158 citations), Pulmonary and Respiratory Medicine (79 citations) and Neurology (22 citations). Daniel Soffer has collaborated with scholars based in United States, Italy and Austria. Frequent co-authors include Siva Suryadevara, Dominick J. Angiolillo, Francesco Franchi, Fabiana Rollini, Martin M. Zenni, Latonya Been, Gary S. Roubin, Andrea Rivas, Theodore A. Bass and Andrés M. Pineda. Their work appears in journals such as Journal of the American College of Cardiology, JACC Basic to Translational Science, JACC: Cardiovascular Interventions, Circulation and Thrombosis and Haemostasis.

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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