David E. Dostal

5.7k citations
78 papers · 4.7k · h-index 38

Impact in

Papers in

David E. Dostal

77 papers receiving 4.6k citations

Peers

David E. Dostal
Comparison fields: 5 of 118
  • Cardiology and Cardiovascular Medicine 2.3k
  • Endocrinology, Diabetes and Metabolism 747
  • Hepatology 241
  • Molecular Biology 2.1k
  • Oncology 462
Replace Takao Sugiyama with:
Takao Sugiyama Japan
Tetsuo Shioi Japan
Matsuhiko Hayashi Japan
Christos Chatziantoniou France
Kazuto Nakamura Japan
Peter Sartipy Sweden
Andrew A. Protter United States
V J Dzau United States
Mark Aronovitz United States
Éva Kiss Germany
David E. Dostal relative to Takao Sugiyama Japan Takao Sugiyama's profile →
Citations per field
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Citations per year

Countries citing papers authored by David E. Dostal

Since Specialization
Citations

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

Fields of papers citing papers by David E. Dostal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992443
2 1993351
3 1999316
4 1993186
5 1992173
6 1992154
7 2013147
8 2004131
9 2006126
10 2008121
11 1997118
12 2009117
13 2004112
14 1997112
15 1990106
16 2001105
17 201287
18 200085
19 200084
20 199484

About David E. Dostal

David E. Dostal is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Oncology and Surgery, having authored 78 papers that have together received 4.7k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (19 papers), Receptor Mechanisms and Signaling (16 papers), Cardiac Fibrosis and Remodeling (9 papers), Cardiomyopathy and Myosin Studies (9 papers), Hormonal Regulation and Hypertension (8 papers), Signaling Pathways in Disease (6 papers), Blood Pressure and Hypertension Studies (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.3k citations), Endocrinology, Diabetes and Metabolism (747 citations), Hepatology (241 citations), Molecular Biology (2.1k citations) and Oncology (462 citations). David E. Dostal has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Kenneth M. Baker, George W. Booz, M J Peach, Kathleen Conrad, Katrina Rothblum, Shannon Glaser, Winfried Schorb, Charlene D. McWhinney, Rachel Hunt and Linley E. Watson. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, American Journal of Physiology-Heart and Circulatory Physiology, American Journal of Physiology-Cell Physiology, Molecular and Cellular Biochemistry and International Journal of Cardiology.

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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