William J. Egan

27 papers receiving 2.4k citations

William J. Egan's Hit Papers

Prediction of Drug Absorption Using Multivariate Statistics 2000 · 1.5k citations
1.5k0+8+17Years since publication50010001.5k

Peers

William J. Egan
Comparison fields: 5 of 151
  • Computational Theory and Mathematics 891
  • Toxicology 104
  • Organic Chemistry 745
  • Pharmacology 201
  • Analytical Chemistry 150
Replace Bernhard Rohde with:
Bernhard Rohde Switzerland
Káthia M. Honório Brazil
Vsevolod Yu. Tanchuk Ukraine
Julio Caballero Chile
Vijay K. Gombar United States
Hua Gao China
Alessandro Pedretti Italy
Mario Marsili Italy
Eric Gifford United States
William J. Egan relative to Bernhard Rohde Switzerland Bernhard Rohde's profile →
Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by William J. Egan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with William J. Egan Line = papers co-authored together William J. Egan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prediction of Drug Absorption Using Multivariate Statistics
Hit paper breakdown →
20001514
2 2002271
3 1998128
4 200877
5 197162
6 200350
7
Guiding molecules towards drug-likeness.
200250
8 200446
9 200344
10 199941
11 200139
12 199823
13 200020
14 201120
15 201016
16 201615
17 200115
18 200712
19 200710
20 20007

About William J. Egan

William J. Egan is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Computational Mechanics and Aerospace Engineering, having authored 29 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Spectroscopy and Chemometric Analyses (4 papers), Analytical Chemistry and Chromatography (4 papers), Combustion and flame dynamics (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (891 citations), Toxicology (104 citations), Organic Chemistry (745 citations), Pharmacology (201 citations) and Analytical Chemistry (150 citations). William J. Egan has collaborated with scholars based in United States, Russia and Switzerland. Frequent co-authors include Kenneth M. Merz, John J. Baldwin, Stephen L. Morgan, Istvan Enyedy, Leonard Cohen, Mark A. Murcko, Edward G. Bartick, Peter D. J. Grootenhuis, Gregor Zlokarnik and William E. Brewer. Their work appears in journals such as Applied Spectroscopy, Analytical and Bioanalytical Chemistry, Journal of Computational Chemistry, Drug Discovery Today Technologies and IEEE Transactions on Engineering Management.

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.

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