Eric Gifford
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
Papers in
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- Computational Drug Discovery Methods 18
-
- Pharmacogenetics and Drug Metabolism 6
- Co-authors
- H. Van De Waterbeemd (1 shared paper)Robert P. Sheridan (1 shared paper)Andy Liaw (1 shared paper)Junshui Ma (1 shared paper)Wei Min Wang (1 shared paper)Marina Y. Shalaeva (2 shared papers)Franco Lombardo (2 shared papers)Rieko Arimoto (2 shared papers)
- Journals
- Journal of Pharmaceutical Sciences (2 papers)Chemical Research in Toxicology (1 paper)Journal of Computer-Aided Molecular Design (1 paper)Journal of Computational Chemistry (1 paper)Drug Metabolism and Disposition (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Eric Gifford
24 papers receiving 2.4k citations
Eric Gifford's Hit Papers
Peers
Comparison fields: 5 of 162
- Computational Theory and Mathematics 1.3k
- Pharmacology 424
- Spectroscopy 362
- Organic Chemistry 422
- Molecular Biology 928
Countries citing papers authored by Eric Gifford
This map shows the geographic impact of Eric Gifford'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 Eric Gifford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Gifford more than expected).
Fields of papers citing papers by Eric Gifford
This network shows the impact of papers produced by Eric Gifford. 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 Eric Gifford. The network helps show where Eric Gifford may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Gifford, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ADMET in silico modelling: towards prediction paradise? Hit paper breakdown → | 2003 | 1549 |
| 2 | Extreme Gradient Boosting as a Method for Quantitative Structure–Activity Relationships Hit paper breakdown → | 2016 | 438 |
| 3 | 2003 | 104 | |
| 4 | 2010 | 80 | |
| 5 | 2005 | 61 | |
| 6 | 2011 | 48 | |
| 7 | 2004 | 41 | |
| 8 | 2000 | 37 | |
| 9 | 2007 | 34 | |
| 10 | 2021 | 28 | |
| 11 | 2002 | 17 | |
| 12 | 2015 | 17 | |
| 13 | 2006 | 16 | |
| 14 | 2009 | 16 | |
| 15 | 2010 | 16 | |
| 16 | 2004 | 12 | |
| 17 | 2011 | 12 | |
| 18 | 1992 | 7 | |
| 19 | 1991 | 6 | |
| 20 | 1992 | 4 |
About Eric Gifford
Eric Gifford is a scholar working on Computational Theory and Mathematics, Pharmacology, Spectroscopy, Molecular Biology and Organic Chemistry, having authored 24 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Analytical Chemistry and Chromatography (6 papers), Pharmacogenetics and Drug Metabolism (6 papers), Free Radicals and Antioxidants (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Enzyme Catalysis and Immobilization (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Pharmacology (424 citations), Spectroscopy (362 citations), Organic Chemistry (422 citations) and Molecular Biology (928 citations). Eric Gifford has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include H. Van De Waterbeemd, Robert P. Sheridan, Andy Liaw, Junshui Ma, Wei Min Wang, Marina Y. Shalaeva, Franco Lombardo, Rieko Arimoto, Sean Ekins and Rishi Raj Gupta. Their work appears in journals such as Journal of Pharmaceutical Sciences, Chemical Research in Toxicology, Journal of Computer-Aided Molecular Design, Journal of Computational Chemistry and Drug Metabolism and Disposition.
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.