William J. Egan

3.1k citations
26 papers · 2.3k indexed · 1 hit paper · h-index 15

William J. Egan

24 papers receiving 2.2k citations

Hit Papers

Prediction of Drug Absorption Using Multivariate Statistics1.4k20002026200820174008001.2k

Peers

William J. Egan
Comparison fields: 5 of 149
  • Computational Theory and Mathematics 841
  • Toxicology 105
  • Organic Chemistry 731
  • Pharmacology 178
  • Analytical Chemistry 141
Replace Bernhard Rohde with:
Bernhard Rohde Switzerland
Káthia M. Honório Brazil
Vsevolod Yu. Tanchuk Ukraine
Julio Caballero Chile
Vijay K. Gombar United States
Eric Gifford United States
Hua Gao China
Manuel Pastor Spain
Chartchalerm Isarankura‐Na‐Ayudhya Thailand
Massimo Baroni Italy
William J. Egan relative to Bernhard Rohde Switzerland Bernhard Rohde's profile →
Citations per field
00.5×1.6×
Bernhard Rohde · 1×
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-authorship network

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
#Work
1 201615
2 201118
3 200869
4 20080
5 200710
6 200436
7 200343
8 200341
9 2002252
10
Guiding molecules towards drug-likeness.
200242
11 200137
12
Prediction of Drug Absorption Using Multivariate Statisticsbreakdown →
20001422
13 20007
14 19991
15 19983
16 1998121
17 19811
18 19780
19
Evaluation of circumferential airflow uniformity entering combustors from compressors. Volume 2: Data supplement
19721
20 197162

About William J. Egan

William J. Egan is a scholar working on Biophysics, Analytical Chemistry, Computational Theory and Mathematics, Spectroscopy and Bioengineering, having authored 26 papers that have together received 2.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Analytical Chemistry and Chromatography (4 papers), Spectroscopy and Chemometric Analyses (4 papers), Combustion and flame dynamics (4 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers) and Monetary Policy and Economic Impact (2 papers). The work is most often cited by research in Computational Theory and Mathematics (841 citations), Toxicology (105 citations), Organic Chemistry (731 citations), Pharmacology (178 citations) and Analytical Chemistry (141 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, Edward G. Bartick, Gregor Zlokarnik, Peter D. J. Grootenhuis, William E. Brewer and R. A. Merrill. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Applied Spectroscopy, Current Topics in Medicinal Chemistry, Analytical Chemistry 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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