Steven D. Stroop

1.5k citations
24 papers · 1.3k · h-index 16

Impact in

Papers in

Steven D. Stroop

24 papers receiving 1.3k citations

Peers

Steven D. Stroop
Comparison fields: 5 of 84
  • Infectious Diseases 352
  • Public Health, Environmental and Occupational Health 469
  • Cellular and Molecular Neuroscience 280
  • Molecular Biology 686
  • Endocrinology, Diabetes and Metabolism 94
Replace Jerzy Trojnar with:
Jerzy Trojnar Sweden
Sandra E. Reznik United States
Edward J. McManus United Kingdom
Jean‐François Prost France
Fulvia Terenzi United States
Stephen Buxser United States
Jessica G. Moreland United States
Margarida Borges Portugal
Ping Jin China
Donna M. Lehman United States
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Citations per field
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Citations per year

Countries citing papers authored by Steven D. Stroop

Since Specialization
Citations

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

Fields of papers citing papers by Steven D. Stroop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven D. Stroop. 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 Steven D. Stroop. The network helps show where Steven D. Stroop may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005256
2 2002209
3 1994139
4 199595
5 199587
6 199168
7 200465
8 198958
9 199657
10 199055
11 201146
12 198537
13 198336
14 199330
15 200725
16 200616
17 198515
18 199713
19 199510
20 200710

About Steven D. Stroop

Steven D. Stroop is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Streptococcal Infections and Treatments (4 papers), Phosphodiesterase function and regulation (4 papers), Receptor Mechanisms and Signaling (4 papers), Signaling Pathways in Disease (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Hormonal Regulation and Hypertension (3 papers) and ATP Synthase and ATPases Research (3 papers). The work is most often cited by research in Infectious Diseases (352 citations), Public Health, Environmental and Occupational Health (469 citations), Cellular and Molecular Neuroscience (280 citations), Molecular Biology (686 citations) and Endocrinology, Diabetes and Metabolism (94 citations). Steven D. Stroop has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Rolf Kuestner, James B. Dale, Mark A. Reddish, Emma Moore, Joseph A. Beavo, Bernard Beall, Harry Charbonneau, Paul D. Boyer, Francis James Grant and Deborah Thompson. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Infection and Immunity, Journal of Pediatric Gastroenterology and Nutrition and Journal of Bone and Mineral 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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