Todd Ewing

3.0k citations
14 papers · 1.8k · 1 hit paper · h-index 11

Impact in

Papers in

Todd Ewing

14 papers receiving 1.8k citations

Todd Ewing's Hit Papers

DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases 2001 · 924 citations
9240+8+16Years since publication250500750

Peers

Todd Ewing
Comparison fields: 5 of 105
  • Computational Theory and Mathematics 1.0k
  • Molecular Biology 1.3k
  • Organic Chemistry 336
  • Pharmacology 81
  • Virology 42
Replace Daniel K. Gehlhaar with:
Daniel K. Gehlhaar United States
Pieter F. W. Stouten United States
Matthew T. Stahl United States
P. Therese Lang United States
Manfred Hendlich Germany
Johannes Voigt United States
James M. Woolven United Kingdom
Massimo Baroni Italy
David Lagorce France
Edward W. Lowe United States
Todd Ewing relative to Daniel K. Gehlhaar United States Daniel K. Gehlhaar's profile →
Citations per field
00.5×1.7×
Daniel K. Gehlhaar · 1×
Citations per year

Countries citing papers authored by Todd Ewing

Since Specialization
Citations

This map shows the geographic impact of Todd Ewing'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 Todd Ewing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Ewing more than expected).

Fields of papers citing papers by Todd Ewing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd Ewing. 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 Todd Ewing. The network helps show where Todd Ewing may publish in the future.

Co-authors

The 25 scholars most cited alongside Todd Ewing, 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 Todd Ewing Line = papers co-authored together Todd Ewing links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases
Hit paper breakdown →
2001924
2 1997416
3 1999135
4 1997106
5 200657
6 199948
7 199848
8 199534
9 200227
10 199418
11 200917
12 20087
13 20104
14
Polyimide Coated Capillary Tubing: A Summary of Cutting Technologies
20051

About Todd Ewing

Todd Ewing is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Pharmacology and Spectroscopy, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Chemical Synthesis and Analysis (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Click Chemistry and Applications (2 papers), Protein Structure and Dynamics (2 papers), Analytical Chemistry and Chromatography (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Drilling and Well Engineering (1 paper). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Molecular Biology (1.3k citations), Organic Chemistry (336 citations), Pharmacology (81 citations) and Virology (42 citations). Todd Ewing has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Irwin D. Kuntz, A. Geoffrey Skillman, Shingo Makino, Miklós Fehér, Junaid Baber, Diana C. Roe, Jonathan A. Ellman, Christina E. Lee, Daniel E. Goldberg and Ilya Y. Gluzman. Their work appears in journals such as Journal of Computer-Aided Molecular Design, Molecular Informatics, Journal of Medicinal Chemistry, The Journal of Physical Chemistry and Journal of Computational 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.

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