Eric Gifford
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods 18
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism 6
- Spectroscopy top 2%
- Analytical Chemistry and Chromatography 6
- Organic Chemistry top 5%
- Free Radicals and Antioxidants 3
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction 4
- Bioinformatics and Genomic Networks 3
- Metabolomics and Mass Spectrometry Studies 2
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- Machine Learning in Materials Science 2
- Co-authors
- H. Van De WaterbeemdAndy LiawRobert P. SheridanJunshui MaWei Min WangFranco LombardoMarina ShalaevaRieko Arimoto
- Journals
- Journal of Pharmaceutical Sciences (2 papers)Biotechnology and Bioengineering (1 paper)SAR and QSAR in environmental research (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Eric Gifford
21 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Computational Theory and Mathematics 1.2k
- Pharmacology 397
- Spectroscopy 345
- Organic Chemistry 412
- Molecular Biology 898
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 25 | |
| 2 | Extreme Gradient Boosting as a Method for Quantitative Structure–Activity Relationshipsbreakdown → | 2016 | 385 |
| 3 | 2011 | 44 | |
| 4 | 2011 | 12 | |
| 5 | 2010 | 70 | |
| 6 | 2010 | 16 | |
| 7 | 2009 | 16 | |
| 8 | 2007 | 32 | |
| 9 | 2005 | 55 | |
| 10 | 2004 | 10 | |
| 11 | 2004 | 30 | |
| 12 | 2003 | 89 | |
| 13 | ADMET in silico modelling: towards prediction paradise?breakdown → | 2003 | 1392 |
| 14 | 2002 | 17 | |
| 15 | 2000 | 36 | |
| 16 | 1998 | 2 | |
| 17 | 1994 | 0 | |
| 18 | 1992 | 2 | |
| 19 | 1992 | 7 | |
| 20 | 1991 | 4 |
About Eric Gifford
Eric Gifford is a scholar working on Computational Theory and Mathematics, Pharmacology, Filtration and Separation, Spectroscopy and Biophysics, having authored 22 papers that have together received 2.3k 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), Microbial Metabolic Engineering and Bioproduction (4 papers), Free Radicals and Antioxidants (3 papers), Bioinformatics and Genomic Networks (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Pharmacology (397 citations), Spectroscopy (345 citations), Organic Chemistry (412 citations) and Molecular Biology (898 citations). Eric Gifford has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include H. Van De Waterbeemd, Andy Liaw, Robert P. Sheridan, Junshui Ma, Wei Min Wang, Franco Lombardo, Marina Shalaeva, Rieko Arimoto, Barry A. Bunin and Rishi R. Gupta. Their work appears in journals such as Journal of Pharmaceutical Sciences, Biotechnology and Bioengineering, SAR and QSAR in environmental research, Mini-Reviews in Medicinal Chemistry and SLAS 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.