Steve Whitebread

452 citations
8 papers · 372 · h-index 6

Impact in

Papers in

Steve Whitebread

8 papers receiving 358 citations

Peers

Steve Whitebread
Comparison fields: 5 of 56
  • Cardiology and Cardiovascular Medicine 246
  • Endocrinology, Diabetes and Metabolism 66
  • Complementary and alternative medicine 15
  • Obstetrics and Gynecology 11
  • Pharmaceutical Science 9
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D COKKINOS Greece
J. P. Gagnol France
M. S. Lin United States
Kerstin Tolagen Sweden
Rita Schmitt Switzerland
Mano Arumanayagam Hong Kong
Frida Liane Plavnik Brazil
Gyu Chul Oh South Korea
Lucia Turolo Italy
Mojca Lunder Slovenia
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Citations per field
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Citations per year

Countries citing papers authored by Steve Whitebread

Since Specialization
Citations

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

Fields of papers citing papers by Steve Whitebread

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve Whitebread. 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 Steve Whitebread. The network helps show where Steve Whitebread may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 1997121
2 1995116
3 199779
4 199430
5 199815
6 19968
7
[Study of Chorion, Placental, Fetal and Maternal Reninangiotensin System and Steroids in the Guinea-pig]
19912
8
Etude du système rénine-angiotensine et des stéroïdes chorio-placentaires, foetaux et maternels chez le cobaye.
19911

About Steve Whitebread

Steve Whitebread is a scholar working on Cardiology and Cardiovascular Medicine, Obstetrics and Gynecology, Molecular Biology, Pediatrics, Perinatology and Child Health and Genetics, having authored 8 papers that have together received 372 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (3 papers), Renin-Angiotensin System Studies (2 papers), Birth, Development, and Health (2 papers), Heart Failure Treatment and Management (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Receptor Mechanisms and Signaling (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (246 citations), Endocrinology, Diabetes and Metabolism (66 citations), Complementary and alternative medicine (15 citations), Obstetrics and Gynecology (11 citations) and Pharmaceutical Science (9 citations). Steve Whitebread has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Marc de Gasparo, Latha Hebbar, Rupak Mukherjee, Mark J. Clair, Francis G. Spinale, Leoluca Criscione, Philipp Mueller, William A. Bradley, Peter Lloyd and Peter Bühlmayer. Their work appears in journals such as Circulation, Cardiovascular Drug Reviews, Regulatory Peptides, Journal of Cardiac Failure and Cardiovascular 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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