David A. Rubenstein

3.6k citations
86 papers · 1.8k · h-index 24

Impact in

Papers in

David A. Rubenstein

84 papers receiving 1.7k citations

Peers

David A. Rubenstein
Comparison fields: 5 of 140
  • Hematology 182
  • Clinical Biochemistry 103
  • Physiology 387
  • Cardiology and Cardiovascular Medicine 338
  • Internal Medicine 43
Replace Horst‐Dieter Lemke with:
Horst‐Dieter Lemke Germany
Guanghua Lei China
Edith Tzeng United States
Marlien Pieters South Africa
Arnon Blum Israel
Harriet W. Hopf United States
Mohamed A. Zayed United States
Farid Nakhoul Israel
Yang Yu China
Xing Wang China
David A. Rubenstein relative to Horst‐Dieter Lemke Germany Horst‐Dieter Lemke's profile →
Citations per field
00.5×2.9×
Horst‐Dieter Lemke · 1×
Citations per year

Countries citing papers authored by David A. Rubenstein

Since Specialization
Citations

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

Fields of papers citing papers by David A. Rubenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978182
2 2017136
3 2016103
4 200384
5 201070
6 200861
7 201859
8 201552
9 201049
10 200944
11 197043
12 202138
13 201138
14 199637
15 201035
16 200734
17 201933
18 200930
19 201329
20 201427

About David A. Rubenstein

David A. Rubenstein is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Hematology, Biomedical Engineering and Physiology, having authored 86 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (14 papers), Platelet Disorders and Treatments (13 papers), Coronary Interventions and Diagnostics (11 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers), Advanced Glycation End Products research (8 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers) and Smoking Behavior and Cessation (6 papers). The work is most often cited by research in Hematology (182 citations), Clinical Biochemistry (103 citations), Physiology (387 citations), Cardiology and Cardiovascular Medicine (338 citations) and Internal Medicine (43 citations). David A. Rubenstein has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Wei Yin, J. Radziuk, John Dupré, Timothy J. McDonald, Berhane Ghebrehiwet, Jolyon Jesty, Danny Bluestein, Hongbing Lu, Li Chen and Mary D. Frame. Their work appears in journals such as The FASEB Journal, Journal of Biomechanical Engineering, Platelets, Cellular and Molecular Bioengineering and Thrombosis Research.

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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