Gary E. Meyerrose

413 citations
23 papers · 341 · h-index 11

Impact in

Papers in

Gary E. Meyerrose

21 papers receiving 326 citations

Peers

Gary E. Meyerrose
Comparison fields: 5 of 69
  • Cardiology and Cardiovascular Medicine 118
  • Internal Medicine 17
  • Endocrinology, Diabetes and Metabolism 40
  • Hematology 19
  • Cancer Research 23
Replace Maria Serena Parri with:
Maria Serena Parri Italy
Ryo Kameda Japan
Stamatios Lerakis United States
Grzegorz Marek Poland
Bruno H Ch Stricker Netherlands
Özgür Sami Akgül Türkiye
Margit Tökés‐Füzesi Hungary
Andrea Cuculo Italy
Hale Yaka Yılmaz Türkiye
Tetsunori Ishikawa Japan
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Citations per field
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Citations per year

Countries citing papers authored by Gary E. Meyerrose

Since Specialization
Citations

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

Fields of papers citing papers by Gary E. Meyerrose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200665
2 200243
3 201541
4 200936
5 200533
6
Exploring the effects of ACE inhibitor tissue penetration on vascular inflammation following acute myocardial infarction.
200427
7 199614
8 199414
9 200412
10 200411
11 199411
12 19957
13 20095
14 20045
15 20043
16 20133
17 20033
18 20023
19 20052
20 20152

About Gary E. Meyerrose

Gary E. Meyerrose is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Surgery, Emergency Medicine and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 341 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (3 papers), Acute Myocardial Infarction Research (3 papers), Aortic aneurysm repair treatments (2 papers), Protease and Inhibitor Mechanisms (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Medical Imaging and Pathology Studies (2 papers), Restraint-Related Deaths (2 papers) and Renin-Angiotensin System Studies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (118 citations), Internal Medicine (17 citations), Endocrinology, Diabetes and Metabolism (40 citations), Hematology (19 citations) and Cancer Research (23 citations). Gary E. Meyerrose has collaborated with scholars based in United States, Poland and China. Frequent co-authors include James P. Tsikouris, José Antonio Suárez, Charles F. Seifert, Craig D. Cox, Michael J. Peeters, Chanwit Roongsritong, Samuel Sostre, Cihan Çevik, John F. Moeller and Grace Simoni. Their work appears in journals such as The Journal of Clinical Pharmacology, Coronary Artery Disease, The American Journal of Cardiology, Cardiology and Journal of Controlled Release.

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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