William J. Egan
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Organic Chemistry top 5%
- Synthesis and biological activity
Papers in
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- Computational Drug Discovery Methods 8
-
- Spectroscopy and Chemometric Analyses 4
- Co-authors
- Kenneth M. Merz (2 shared papers)John J. Baldwin (2 shared papers)Stephen L. Morgan (8 shared papers)Istvan J. Enyedy (1 shared paper)W. Patrick Walters (1 shared paper)Mark A. Murcko (1 shared paper)Edward G. Bartick (3 shared papers)Gregor Zlokarnik (1 shared paper)
- Journals
- Applied Spectroscopy (2 papers)Analytical and Bioanalytical Chemistry (2 papers)MedChemComm (1 paper)Journal of Chemometrics (1 paper)Annual reports in medicinal chemistry (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
William J. Egan
20 papers receiving 2.3k citations
William J. Egan's Hit Papers
Peers
Comparison fields: 5 of 88
- Computational Theory and Mathematics 904
- Organic Chemistry 243
- Analytical Chemistry 75
- Pharmacology 86
- Pharmaceutical Science 34
Countries citing papers authored by William J. Egan
This map shows the geographic impact of William J. Egan'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 William J. Egan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Egan more than expected).
Fields of papers citing papers by William J. Egan
This network shows the impact of papers produced by William J. Egan. 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 William J. Egan. The network helps show where William J. Egan may publish in the future.
Co-authors
The 25 scholars most cited alongside William J. Egan, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prediction of Drug Absorption Using Multivariate Statistics Hit paper breakdown → | 2000 | 1575 |
| 2 | 2002 | 280 | |
| 3 | 1998 | 127 | |
| 4 | 2008 | 80 | |
| 5 | Guiding molecules towards drug-likeness. | 2002 | 51 |
| 6 | 2003 | 50 | |
| 7 | 2004 | 49 | |
| 8 | 2003 | 45 | |
| 9 | 1999 | 41 | |
| 10 | 2001 | 39 | |
| 11 | 1998 | 23 | |
| 12 | 2011 | 21 | |
| 13 | 2000 | 20 | |
| 14 | 2010 | 18 | |
| 15 | 2016 | 17 | |
| 16 | 2001 | 15 | |
| 17 | 2007 | 10 | |
| 18 | 2000 | 7 | |
| 19 | 1998 | 3 | |
| 20 | 1999 | 3 |
About William J. Egan
William J. Egan is a scholar working on Computational Theory and Mathematics, Analytical Chemistry, Bioengineering, Statistics and Probability and Pharmacology, having authored 21 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Spectroscopy and Chemometric Analyses (4 papers), Analytical Chemistry and Sensors (1 paper), Advanced Statistical Methods and Models (1 paper), Chemical Synthesis and Analysis (1 paper), Microbial Natural Products and Biosynthesis (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Computational Theory and Mathematics (904 citations), Organic Chemistry (243 citations), Analytical Chemistry (75 citations), Pharmacology (86 citations) and Pharmaceutical Science (34 citations). William J. Egan has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Kenneth M. Merz, John J. Baldwin, Stephen L. Morgan, Istvan J. Enyedy, W. Patrick Walters, Mark A. Murcko, Edward G. Bartick, Gregor Zlokarnik, Peter D. J. Grootenhuis and William E. Brewer. Their work appears in journals such as Applied Spectroscopy, Analytical and Bioanalytical Chemistry, MedChemComm, Journal of Chemometrics and Annual reports in medicinal chemistry.
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.