Christopher P. Austin
Impact in
- Computational Theory and Mathematics top 0.1%
- Computational Drug Discovery Methods
- Small Animals top 0.2%
- Animal testing and alternatives
Papers in
-
- Computational Drug Discovery Methods 39
-
- Receptor Mechanisms and Signaling 11
- Metabolomics and Mass Spectrometry Studies 11
- CRISPR and Genetic Engineering 9
- Co-authors
- James IngleseAnton SimeonovRuili HuangMenghang XiaAjit JadhavDouglas S. AuldWei ZhengRaymond R. Tice
- Journals
- Nature Reviews Drug Discovery (14 papers)Journal of Medicinal Chemistry (11 papers)SLAS DISCOVERY (8 papers)Assay and Drug Development Technologies (7 papers)Environmental Health Perspectives (6 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Christopher P. Austin
169 papers receiving 11.6k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Computational Theory and Mathematics 2.5k
- Small Animals 701
- Molecular Biology 5.7k
- Pharmacology 693
- Biophysics 388
Countries citing papers authored by Christopher P. Austin
This map shows the geographic impact of Christopher 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 Christopher 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 Christopher P. Austin more than expected).
Fields of papers citing papers by Christopher P. Austin
This network shows the impact of papers produced by Christopher 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 Christopher P. Austin. The network helps show where Christopher P. Austin may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher 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 | 2024 | 2 | |
| 2 | 2021 | 34 | |
| 3 | 2019 | 41 | |
| 4 | 2015 | 4 | |
| 5 | 2015 | 1 | |
| 6 | 2014 | 198 | |
| 7 | 2013 | 178 | |
| 8 | 2011 | 166 | |
| 9 | 2011 | 114 | |
| 10 | 2009 | 94 | |
| 11 | 2009 | 45 | |
| 12 | 2009 | 11 | |
| 13 | 2009 | 49 | |
| 14 | 2009 | 46 | |
| 15 | 2008 | 108 | |
| 16 | 2008 | 16 | |
| 17 | 2007 | 4 | |
| 18 | 2007 | 21 | |
| 19 | 2007 | 473 | |
| 20 | Quantitative high-throughput screening: A titration-based approach that efficiently identifies biological activities in large chemical libraries Hit paper breakdown → | 2006 | 623 |
About Christopher P. Austin
Christopher P. Austin is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Small Animals and Cancer Research, having authored 172 papers that have together received 11.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (39 papers), Receptor Mechanisms and Signaling (11 papers), Metabolomics and Mass Spectrometry Studies (11 papers), Pharmacogenetics and Drug Metabolism (10 papers), Biosimilars and Bioanalytical Methods (10 papers), Genomics and Rare Diseases (10 papers), Lysosomal Storage Disorders Research (10 papers) and CRISPR and Genetic Engineering (9 papers). The work is most often cited by research in Computational Theory and Mathematics (2.5k citations), Small Animals (701 citations), Molecular Biology (5.7k citations), Pharmacology (693 citations) and Biophysics (388 citations). Christopher P. Austin has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include James Inglese, Anton Simeonov, Ruili Huang, Menghang Xia, Ajit Jadhav, Douglas S. Auld, Wei Zheng, Raymond R. Tice, Noel Southall and Ronald L. Johnson. Their work appears in journals such as Nature Reviews Drug Discovery, Journal of Medicinal Chemistry, SLAS DISCOVERY, Assay and Drug Development Technologies and Environmental Health Perspectives.
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.