Scott P. Levick

2.8k citations
54 papers · 2.2k · h-index 25

Impact in

Papers in

Scott P. Levick

52 papers receiving 2.2k citations

Peers

Scott P. Levick
Comparison fields: 5 of 106
  • Cardiology and Cardiovascular Medicine 1.2k
  • Immunology 452
  • Immunology and Allergy 95
  • Genetics 134
  • Cellular and Molecular Neuroscience 228
Replace Nour-Eddine Rhaleb with:
Nour-Eddine Rhaleb United States
Gregory L. Brower United States
Shujiro Inoue Japan
Monique Freund France
Atsushi Moriguchi Japan
Mei Zhang China
Andrea Flex Italy
Deborah A. Howatt United States
Hideki Okunishi Japan
Wee Soo Shin Japan
Scott P. Levick relative to Nour-Eddine Rhaleb United States Nour-Eddine Rhaleb's profile →
Citations per field
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Citations per year

Countries citing papers authored by Scott P. Levick

Since Specialization
Citations

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

Fields of papers citing papers by Scott P. Levick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott P. Levick. 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 Scott P. Levick. The network helps show where Scott P. Levick may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010363
2 2006224
3 2010133
4 2009131
5 2010124
6 200796
7 201181
8 200961
9 201460
10 201355
11 201154
12 200753
13 201853
14 201352
15 200850
16 201344
17 201340
18 201840
19 202036
20 201133

About Scott P. Levick

Scott P. Levick is a scholar working on Cardiology and Cardiovascular Medicine, Immunology, Cellular and Molecular Neuroscience, Genetics and Physiology, having authored 54 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (17 papers), Mast cells and histamine (14 papers), Neuropeptides and Animal Physiology (12 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (10 papers), Asthma and respiratory diseases (7 papers), Food Allergy and Anaphylaxis Research (6 papers), Cardiovascular Function and Risk Factors (6 papers) and Renin-Angiotensin System Studies (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Immunology (452 citations), Immunology and Allergy (95 citations), Genetics (134 citations) and Cellular and Molecular Neuroscience (228 citations). Scott P. Levick has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Joseph S. Janicki, Gregory L. Brower, Giselle C. Meléndez, Jennifer L. McLarty, David B. Murray, Yan Du, Alexander Widiapradja, Jason D. Gardner, David Loch and Tetyana G Voloshenyuk. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Hypertension, International Journal of Molecular Sciences, Journal of Molecular and Cellular Cardiology 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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