Rupert P. Austin
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 7
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- Computational Drug Discovery Methods 3
- Spectroscopy top 2%
- Analytical Chemistry and Chromatography 5
- Organic and Inorganic Chemical Reactions 4
- Oncology top 5%
- Drug Transport and Resistance Mechanisms 5
- Chemokine receptors and signaling 3
- Pharmaceutical Science top 5%
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- Chemical Reaction Mechanisms 4
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- Lipid Membrane Structure and Behavior 3
- Co-authors
- Patrick BartonRobert J. RileyMark C. WenlockA. M. DavisDermot F. McGinnityPaul D. LeesonScott L. CockroftCarol N. Manners
- Journals
- Chemical Communications (1 paper)Journal of Medicinal Chemistry (2 papers)Pharmaceutical Research (1 paper)
- Partner nations
- United KingdomSingaporeGermany
In The Last Decade
Rupert P. Austin
29 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 108
- Pharmacology 627
- Computational Theory and Mathematics 516
- Spectroscopy 367
- Oncology 549
- Pharmaceutical Science 96
Countries citing papers authored by Rupert P. Austin
This map shows the geographic impact of Rupert P. Austin'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 Rupert P. Austin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rupert P. Austin more than expected).
Fields of papers citing papers by Rupert P. Austin
This network shows the impact of papers produced by Rupert P. Austin. 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 Rupert P. Austin. The network helps show where Rupert P. Austin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rupert P. Austin, 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 | 2021 | 16 | |
| 2 | 2016 | 5 | |
| 3 | 2015 | 16 | |
| 4 | 2012 | 3 | |
| 5 | 2012 | 10 | |
| 6 | 2011 | 54 | |
| 7 | 2011 | 44 | |
| 8 | 2011 | 8 | |
| 9 | 2011 | 1 | |
| 10 | 2007 | 24 | |
| 11 | 2007 | 87 | |
| 12 | 2007 | 52 | |
| 13 | 2005 | 286 | |
| 14 | 2005 | 26 | |
| 15 | 2004 | 140 | |
| 16 | 2002 | 320 | |
| 17 | 2002 | 12 | |
| 18 | 2002 | 38 | |
| 19 | 1998 | 49 | |
| 20 | 1995 | 138 |
About Rupert P. Austin
Rupert P. Austin is a scholar working on Pharmacology, Spectroscopy and Filtration and Separation, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Analytical Chemistry and Chromatography (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Organic and Inorganic Chemical Reactions (4 papers), Chemical Reaction Mechanisms (4 papers), Computational Drug Discovery Methods (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Chemokine receptors and signaling (3 papers). The work is most often cited by research in Pharmacology (627 citations), Computational Theory and Mathematics (516 citations) and Spectroscopy (367 citations). Rupert P. Austin has collaborated with scholars based in United Kingdom, Singapore and Germany. Frequent co-authors include Patrick Barton, Robert J. Riley, Mark C. Wenlock, A. M. Davis, Dermot F. McGinnity, Paul D. Leeson, Scott L. Cockroft, Carol N. Manners, Michael H. Abraham and Roger V. Bonnert. Their work appears in journals such as Chemical Communications, Journal of Medicinal Chemistry and Pharmaceutical 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.