Brian Springthorpe

2.6k total citations · 1 hit paper
8 papers, 1.8k citations indexed

About

Brian Springthorpe is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Brian Springthorpe has authored 8 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Oncology. Recurrent topics in Brian Springthorpe's work include Receptor Mechanisms and Signaling (4 papers), Phosphodiesterase function and regulation (3 papers) and Chemical Synthesis and Analysis (2 papers). Brian Springthorpe is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Phosphodiesterase function and regulation (3 papers) and Chemical Synthesis and Analysis (2 papers). Brian Springthorpe collaborates with scholars based in United Kingdom, Sweden and Australia. Brian Springthorpe's co-authors include Paul D. Leeson, Robert J. Riley, Bo Nordén, Iain Martin, Iain G. Beattie, Stephen Connolly, Igor L. Shamovsky, Richard J. Lewis, Svetlana Ivanova and Michael A. Bernstein and has published in prestigious journals such as Nature Reviews Drug Discovery, Journal of Medicinal Chemistry and British Journal of Pharmacology.

In The Last Decade

Brian Springthorpe

8 papers receiving 1.7k citations

Hit Papers

The influence of drug-like concepts on decision-making in... 2007 2026 2013 2019 2007 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Springthorpe United Kingdom 5 879 589 546 223 188 8 1.8k
Alexander Hillisch Germany 28 1.4k 1.6× 705 1.2× 458 0.8× 212 1.0× 159 0.8× 57 2.8k
Rajesh Devraj United States 20 951 1.1× 382 0.6× 746 1.4× 157 0.7× 218 1.2× 35 1.9k
Konstantin V. Balakin Russia 25 1.0k 1.2× 671 1.1× 579 1.1× 170 0.8× 178 0.9× 95 2.0k
Osman Güner United States 17 875 1.0× 785 1.3× 429 0.8× 115 0.5× 151 0.8× 36 1.6k
Emanuele Carosati Italy 25 1.1k 1.2× 542 0.9× 656 1.2× 255 1.1× 232 1.2× 47 2.0k
Owen B. Wallace United States 16 689 0.8× 405 0.7× 403 0.7× 156 0.7× 131 0.7× 27 1.6k
Allison K. Doak United States 14 1.1k 1.3× 813 1.4× 251 0.5× 167 0.7× 146 0.8× 14 1.8k
Angelo Vedani Switzerland 27 1.1k 1.3× 988 1.7× 419 0.8× 256 1.1× 164 0.9× 74 2.1k
Brian Y. Feng United States 11 1.2k 1.4× 599 1.0× 322 0.6× 95 0.4× 138 0.7× 18 1.9k
Edmund L. Ellsworth United States 22 716 0.8× 357 0.6× 1.0k 1.8× 164 0.7× 131 0.7× 46 1.9k

Countries citing papers authored by Brian Springthorpe

Since Specialization
Citations

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

Fields of papers citing papers by Brian Springthorpe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Springthorpe

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Springthorpe. A scholar is included among the top collaborators of Brian Springthorpe 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 Brian Springthorpe. Brian Springthorpe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Barton, Patrick, Keith Bowers, Richard H. Evans, et al.. (2012). The discovery of CCR3/H1 dual antagonists with reduced hERG risk. Bioorganic & Medicinal Chemistry Letters. 22(21). 6688–6693. 13 indexed citations
2.
Furber, Mark, Lilian Alcaraz, Christopher A. Luckhurst, et al.. (2012). Discovery and evolution of phenoxypiperidine hydroxyamide dual CCR3/H1 antagonists. Part II: Optimising in vivo clearance. Bioorganic & Medicinal Chemistry Letters. 22(24). 7707–7710. 4 indexed citations
3.
Furber, Mark, Lilian Alcaraz, Christopher A. Luckhurst, et al.. (2012). Discovery and evolution of phenoxypiperidine hydroxyamide dual CCR3/H1 antagonists. Part I. Bioorganic & Medicinal Chemistry Letters. 22(24). 7702–7706. 2 indexed citations
4.
Barton, Patrick, Keith Bowers, Peter S. Gilmour, et al.. (2012). Scaffold-hopping with zwitterionic CCR3 antagonists: Identification and optimisation of a series with good potency and pharmacokinetics leading to the discovery of AZ12436092. Bioorganic & Medicinal Chemistry Letters. 22(21). 6694–6699. 17 indexed citations
5.
Shamovsky, Igor L., Stephen Connolly, Svetlana Ivanova, et al.. (2008). Overcoming Undesirable hERG Potency of Chemokine Receptor Antagonists Using Baseline Lipophilicity Relationships. Journal of Medicinal Chemistry. 51(5). 1162–1178. 37 indexed citations
6.
Leeson, Paul D. & Brian Springthorpe. (2007). The influence of drug-like concepts on decision-making in medicinal chemistry. Nature Reviews Drug Discovery. 6(11). 881–890. 1692 indexed citations breakdown →
7.
Martin, Iain, Richard J. Lewis, Michael A. Bernstein, et al.. (2006). Which Hydroxy? Evidence for Species Differences in the Regioselectivity of Glucuronidation in Rat, Dog, and Human in Vitro Systems and Dog in Vivo. Drug Metabolism and Disposition. 34(9). 1502–1507. 34 indexed citations
8.
Smith, G. W., et al.. (1990). FPL 63012AR: a potent D1‐receptor agonist. British Journal of Pharmacology. 100(2). 295–300. 3 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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