Steven Whitebread

8.0k total citations · 4 hit papers
63 papers, 6.2k citations indexed

About

Steven Whitebread is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Steven Whitebread has authored 63 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 19 papers in Cardiology and Cardiovascular Medicine and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Steven Whitebread's work include Receptor Mechanisms and Signaling (27 papers), Renin-Angiotensin System Studies (15 papers) and Computational Drug Discovery Methods (13 papers). Steven Whitebread is often cited by papers focused on Receptor Mechanisms and Signaling (27 papers), Renin-Angiotensin System Studies (15 papers) and Computational Drug Discovery Methods (13 papers). Steven Whitebread collaborates with scholars based in Switzerland, United States and United Kingdom. Steven Whitebread's co-authors include Marc de Gasparo, Jacques Hamon, László Urbán, B. Kamber, Leoluca Criscione, Jeremy L. Jenkins, Karl G. Hofbauer, Christophe Gerald, Andrea O. Schaffhauser and Д. А. Михайлов and has published in prestigious journals such as Nature, Science and Journal of Clinical Investigation.

In The Last Decade

Steven Whitebread

62 papers receiving 6.0k citations

Hit Papers

A receptor subtype involved in neuropeptide-Y-induced foo... 1989 2026 2001 2013 1996 1989 2012 2012 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A receptor subtype involved in neuropeptide-Y-induced food intake
    1996 771 citations Christophe Gerald, Mary W. Walker et al. profile →
  2. Preliminary biochemical characterization of two angiotensin II receptor subtypes
    1989 668 citations Steven Whitebread, B. Kamber et al. Biochemical and Biophysical Research Communications profile →
  3. Large-scale prediction and testing of drug activity on side-effect targets
    2012 656 citations Eugen Lounkine, Steven Whitebread et al. profile →
  4. Reducing safety-related drug attrition: the use of in vitro pharmacological profiling
    2012 485 citations Jacques Hamon, Steven Whitebread et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Steven Whitebread Switzerland 37 3.2k 1.6k 1.6k 1.4k 976 63 6.2k
Terry Kenakin United States 57 10.0k 3.1× 1.4k 0.9× 513 0.3× 6.6k 4.6× 685 0.7× 205 12.9k
Simon D Harding United Kingdom 24 2.9k 0.9× 331 0.2× 656 0.4× 1.2k 0.9× 454 0.5× 36 6.9k
Georges Vauquelin Belgium 45 4.2k 1.3× 354 0.2× 1.0k 0.6× 2.7k 1.9× 615 0.6× 224 6.5k
Victor J. Lotti United States 36 3.0k 0.9× 304 0.2× 826 0.5× 2.3k 1.6× 533 0.5× 138 5.9k
Pieter B.M.W.M. Timmermans United States 47 4.3k 1.3× 304 0.2× 3.9k 2.5× 1.8k 1.2× 1.7k 1.7× 180 8.0k
Nobuhiro Suzuki Japan 49 5.1k 1.6× 830 0.5× 1.2k 0.7× 1.6k 1.1× 709 0.7× 180 11.4k
Jonathan D. Violin United States 44 7.6k 2.4× 747 0.5× 1.1k 0.7× 4.0k 2.8× 446 0.5× 53 9.5k
Hiroyuki Motoshima Japan 35 6.5k 2.0× 338 0.2× 617 0.4× 2.9k 2.1× 822 0.8× 97 9.7k
Mats Carlquist Sweden 33 4.3k 1.3× 522 0.3× 141 0.1× 3.4k 2.4× 1.1k 1.2× 76 8.4k
Kevin Beaumont United States 36 2.3k 0.7× 487 0.3× 113 0.1× 1.5k 1.1× 593 0.6× 103 5.0k

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-authorship network of co-authors of Steven Whitebread

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Whitebread. A scholar is included among the top collaborators of Steven Whitebread based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven Whitebread. Steven Whitebread is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pottel, Joshua, Duncan Armstrong, Ling Zou, et al.. (2020). The activities of drug inactive ingredients on biological targets. Science. 369(6502). 403–413. 63 indexed citations
2.
Maciejewski, Mateusz, Eugen Lounkine, Steven Whitebread, et al.. (2017). Reverse translation of adverse event reports paves the way for de-risking preclinical off-targets. eLife. 6. 38 indexed citations
3.
Whitebread, Steven, Bérengère Dumotier, Duncan Armstrong, et al.. (2016). Secondary pharmacology: screening and interpretation of off-target activities – focus on translation. Drug Discovery Today. 21(8). 1232–1242. 45 indexed citations
4.
Azzaoui, Khalil, Jacques Hamon, Bernard Faller, et al.. (2007). Modeling Promiscuity Based on in vitro Safety Pharmacology Profiling Data. ChemMedChem. 2(6). 874–880. 127 indexed citations
5.
Hintermann, Samuel, Ivo Vranesic, Hans Allgeier, et al.. (2006). ABP688, a novel selective and high affinity ligand for the labeling of mGlu5 receptors: Identification, in vitro pharmacology, pharmacokinetic and biodistribution studies. Bioorganic & Medicinal Chemistry. 15(2). 903–914. 55 indexed citations
6.
Rueeger, Heinrich, Marc Gerspacher, Pascal Rigollier, et al.. (2004). Discovery and SAR of potent, orally available and brain-penetrable 5,6-dihydro-4H-3-thia-1-aza-benzo[e]azulen- and 4,5-dihydro-6-oxa-3-thia-1-aza-benzo[e]azulen derivatives as neuropeptide Y Y5 receptor antagonists. Bioorganic & Medicinal Chemistry Letters. 14(10). 2451–2457. 16 indexed citations
7.
Criscione, Leoluca, Pascal Rigollier, Christine Batzl‐Hartmann, et al.. (1998). Food intake in free-feeding and energy-deprived lean rats is mediated by the neuropeptide Y5 receptor.. Journal of Clinical Investigation. 102(12). 2136–2145. 183 indexed citations
8.
Stricker‐Krongrad, Alain, L. Brunner, John W. Miller, et al.. (1998). The pharmacology of neuropeptide Y (NPY) receptor-mediated feeding in rats characterizes better Y5 than Y1, but not Y2 or Y4 subtypes. Regulatory Peptides. 75-76. 363–371. 80 indexed citations
9.
Brunner, L., Frédéric Cumin, Michele Chiesi, et al.. (1997). Leptin is a physiologically important regulator of food intake. International Journal of Obesity. 21(12). 1152–1160. 49 indexed citations
10.
Zierhut, Wolfgang, R. Studer, Didier Laurent, et al.. (1996). Left ventricular wall stress and sarcoplasmic reticulum Ca-ATPase gene expression in renal hypertensive rats: dose-dependent effects of ACE inhibition and AT-receptor blockade. Cardiovascular Research. 31(5). 758–768. 39 indexed citations
11.
Gasparo, Marc de & Steven Whitebread. (1995). Binding of valsartan to mammalian angiotensin AT1 receptors. Regulatory Peptides. 59(3). 303–311. 102 indexed citations
12.
Whitebread, Steven, et al.. (1994). Renal actions of the angiotensin AT2 receptor ligands CGP 42112 and PD 123319 after blockade of the renin-angiotensin system. European Journal of Pharmacology. 259(1). 27–36. 51 indexed citations
13.
Bottari, Serge P., et al.. (1993). Renal actions of the selective angiotensin AT2 receptor ligands CGP 42112B and PD 123319 in the sodium-depleted rat. European Journal of Pharmacology. 249(1-2). 85–93. 72 indexed citations
14.
Whitebread, Steven, et al.. (1993). Angiotensin II binding sites on micro-organisms contaminating cell cultures. Regulatory Peptides. 44(2). 233–238. 14 indexed citations
15.
Bühlmayer, Peter, Leoluca Criscione, Walter Fuhrer, et al.. (1991). Nonpeptidic angiotensin II antagonists: synthesis and in vitro activity of a series of novel naphthalene and tetrahydronaphthalene derivatives. Journal of Medicinal Chemistry. 34(10). 3105–3114. 29 indexed citations
16.
Bottari, Serge P., et al.. (1991). Angiotensin II AT2 receptors do not interact with guanine nucleotide binding proteins. European Journal of Pharmacology Molecular Pharmacology. 207(2). 157–163. 111 indexed citations
17.
Pfeilschifter, Josef, Joachim Fandrey, Martin Ochsner, Steven Whitebread, & Marc de Gasparo. (1990). Potentiation of angiotensin II‐stimulated phosphoinositide hydrolysis, calcium mobilization and contraction of renal mesangial cells upon down‐regulation of protein kinase C. FEBS Letters. 261(2). 307–311. 31 indexed citations
18.
Criscione, Leoluca, et al.. (1990). Sarmesin is a partial agonst of angiotensin-II receptors in rabbit, but not in rat, aortic rings. Biochemical and Biophysical Research Communications. 169(2). 636–642. 3 indexed citations
19.
Whitebread, Steven, et al.. (1989). Preliminary biochemical characterization of two angiotensin II receptor subtypes. Biochemical and Biophysical Research Communications. 163(1). 284–291. 668 indexed citations breakdown →
20.
Whitebread, Steven, et al.. (1988). [3H]AVP binding to rat renal tubular receptors during long-term treatment with an antagonist of arginine vasopressin. Peptides. 9(3). 595–600. 4 indexed citations

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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