Brian Springthorpe
Impact in
-
- Computational Drug Discovery Methods
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Receptor Mechanisms and Signaling 4
- Phosphodiesterase function and regulation 3
- Chemical Synthesis and Analysis 2
-
- Asthma and respiratory diseases 2
- Nitric Oxide and Endothelin Effects 1
- Co-authors
- Paul D. Leeson (1 shared paper)Robert J. Riley (3 shared papers)Craig A. Martin (1 shared paper)Iain Martin (1 shared paper)Iain G. Beattie (1 shared paper)Klaus Urbahns (1 shared paper)Michael A. Bernstein (1 shared paper)Igor L. Shamovsky (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)British Journal of Pharmacology (1 paper)Journal of Medicinal Chemistry (1 paper)Drug Metabolism and Disposition (1 paper)Nature Reviews Drug Discovery (1 paper)
- Partner nations
- United KingdomSwedenAustralia
In The Last Decade
Brian Springthorpe
8 papers receiving 1.7k citations
Brian Springthorpe's Hit Papers
Peers
Comparison fields: 5 of 108
- Computational Theory and Mathematics 562
- Pharmacology 209
- Organic Chemistry 535
- Molecular Biology 859
- Pharmacology 174
Countries citing papers authored by Brian Springthorpe
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
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-authors
The 25 scholars most cited alongside Brian Springthorpe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The influence of drug-like concepts on decision-making in medicinal chemistry Hit paper breakdown → | 2007 | 1709 |
| 2 | 2008 | 38 | |
| 3 | 2006 | 34 | |
| 4 | 2012 | 18 | |
| 5 | 2012 | 13 | |
| 6 | 2012 | 4 | |
| 7 | 1990 | 3 | |
| 8 | 2012 | 2 | |
| 9 | 2008 | 0 |
About Brian Springthorpe
Brian Springthorpe is a scholar working on Molecular Biology, Physiology, Oncology, Computational Theory and Mathematics and Pharmacology, having authored 9 papers that have together received 1.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Phosphodiesterase function and regulation (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Computational Drug Discovery Methods (2 papers), Asthma and respiratory diseases (2 papers), Chemical Synthesis and Analysis (2 papers) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Computational Theory and Mathematics (562 citations), Pharmacology (209 citations), Organic Chemistry (535 citations), Molecular Biology (859 citations) and Pharmacology (174 citations). Brian Springthorpe has collaborated with scholars based in United Kingdom, Sweden and Australia. Frequent co-authors include Paul D. Leeson, Robert J. Riley, Craig A. Martin, Iain Martin, Iain G. Beattie, Klaus Urbahns, Michael A. Bernstein, Igor L. Shamovsky, Richard J. Lewis and Svetlana Ivanova. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, British Journal of Pharmacology, Journal of Medicinal Chemistry, Drug Metabolism and Disposition and Nature Reviews Drug Discovery.
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.