Steven Whitebread

66 papers receiving 6.2k citations

Steven Whitebread's Hit Papers

Large-scale prediction and testing of drug activity on side-effect targets 2012 · 731 citations
7310+12+24Years since publication250500750

Peers

Steven Whitebread
Comparison fields: 5 of 130
  • Endocrine and Autonomic Systems 764
  • Computational Theory and Mathematics 1.8k
  • Cardiology and Cardiovascular Medicine 1.8k
  • Cellular and Molecular Neuroscience 811
  • Toxicology 240
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Countries citing papers authored by Steven Whitebread

Since Specialization
Citations

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

Fields of papers citing papers by Steven Whitebread

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A receptor subtype involved in neuropeptide-Y-induced food intake
Hit paper breakdown →
1996807
2
Large-scale prediction and testing of drug activity on side-effect targets
Hit paper breakdown →
2012731
3
Preliminary biochemical characterization of two angiotensin II receptor subtypes
Hit paper breakdown →
1989703
4
Reducing safety-related drug attrition: the use of in vitro pharmacological profiling
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2012601
5 2005330
6 1987289
7 2007274
8 1993236
9 1998201
10 1997166
11 2007146
12 2009133
13 2009132
14 1991125
15 2002114
16 1995113
17 199087
18 199487
19 199885
20 199183

About Steven Whitebread

Steven Whitebread is a scholar working on Cardiology and Cardiovascular Medicine, Computational Theory and Mathematics, Endocrine and Autonomic Systems, Small Animals and Cellular and Molecular Neuroscience, having authored 68 papers that have together received 6.9k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (24 papers), Computational Drug Discovery Methods (16 papers), Regulation of Appetite and Obesity (8 papers), Animal testing and alternatives (7 papers), Neuropeptides and Animal Physiology (6 papers), Hormonal Regulation and Hypertension (4 papers), Lepidoptera: Biology and Taxonomy (3 papers) and Pharmacovigilance and Adverse Drug Reactions (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (764 citations), Computational Theory and Mathematics (1.8k citations), Cardiology and Cardiovascular Medicine (1.8k citations), Cellular and Molecular Neuroscience (811 citations) and Toxicology (240 citations). Steven Whitebread has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Marc De Gasparo B, Jacques Hamon, László Urbán, B. Kamber, Leoluca Criscione, Jeremy L. Jenkins, Karl G. Hofbauer, Gareth J. Waldron, Andrew James Brown and Arun Sridhar. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Regulatory Peptides, Journal of Medicinal Chemistry, Biochemical and Biophysical Research Communications and Nature.

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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