Todd Ewing

3.0k total citations · 1 hit paper
14 papers, 1.8k citations indexed

About

Todd Ewing is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Todd Ewing has authored 14 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 3 papers in Organic Chemistry. Recurrent topics in Todd Ewing's work include Computational Drug Discovery Methods (7 papers), Chemical Synthesis and Analysis (3 papers) and Click Chemistry and Applications (2 papers). Todd Ewing is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Chemical Synthesis and Analysis (3 papers) and Click Chemistry and Applications (2 papers). Todd Ewing collaborates with scholars based in United States and Canada. Todd Ewing's co-authors include Irwin D. Kuntz, A. Geoffrey Skillman, Shingo Makino, Miklós Fehér, Junaid Baber, Daniel E. Goldberg, Tasir S. Haque, Ilya Y. Gluzman, Hiromu Habashita and Jonathan A. Ellman and has published in prestigious journals such as The Journal of Physical Chemistry, Journal of Medicinal Chemistry and Journal of Computational Chemistry.

In The Last Decade

Todd Ewing

14 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases

2001 921 citations Todd Ewing, Shingo Makino et al. Journal of Computer-Aided Molecular Design profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Todd Ewing United States	11	1.3k	1.1k	343	236	139	14	1.8k
James M. Woolven United Kingdom	11	1.3k 1.0×	923 0.9×	443 1.3×	229 1.0×	192 1.4×	13	2.0k
Matthew T. Stahl United States	3	1.2k 0.9×	1.0k 1.0×	405 1.2×	294 1.2×	230 1.7×	7	2.0k
Pieter F. W. Stouten United States	20	1.4k 1.1×	696 0.7×	313 0.9×	306 1.3×	121 0.9×	54	2.1k
Oliver Korb United Kingdom	17	1.4k 1.0×	922 0.9×	461 1.3×	285 1.2×	235 1.7×	34	2.1k
Edward W. Lowe United States	11	976 0.7×	828 0.8×	314 0.9×	238 1.0×	175 1.3×	24	1.8k
Sudipto Mukherjee United States	17	1.3k 1.0×	722 0.7×	250 0.7×	241 1.0×	148 1.1×	27	1.9k
Brian Y. Feng United States	11	1.2k 0.9×	599 0.6×	322 0.9×	157 0.7×	212 1.5×	18	1.9k
David Lagorce France	25	1.4k 1.0×	933 0.9×	361 1.1×	152 0.6×	287 2.1×	34	2.6k
Daniel Kühn Germany	13	1.3k 1.0×	763 0.7×	319 0.9×	280 1.2×	250 1.8×	28	1.9k
Erin S. D. Bolstad United States	11	1.3k 1.0×	942 0.9×	329 1.0×	303 1.3×	309 2.2×	15	2.3k

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-authorship network of co-authors of Todd Ewing

This figure shows the co-authorship network connecting the top 25 collaborators of Todd Ewing. A scholar is included among the top collaborators of Todd Ewing based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Todd Ewing. Todd Ewing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Ewing, Todd & Miklós Fehér. (2010). Forecasting CYP2D6 and CYP3A4 Risk with a Global/Local Fusion Model of CYP450 Inhibition. Molecular Informatics. 29(1-2). 127–141. 4 indexed citations

Fehér, Miklós & Todd Ewing. (2009). Global or Local QSAR: Is There a Way Out?. QSAR & Combinatorial Science. 28(8). 850–855. 17 indexed citations

Pontillo, Joseph, Dongpei Wu, Yinghong Gao, et al.. (2008). Synthesis and structure–activity relationships of selective norepinephrine reuptake inhibitors (sNRI) with improved pharmaceutical characteristics. Bioorganic & Medicinal Chemistry Letters. 18(23). 6151–6155. 7 indexed citations

Ewing, Todd, Junaid Baber, & Miklós Fehér. (2006). Novel 2D Fingerprints for Ligand-Based Virtual Screening. Journal of Chemical Information and Modeling. 46(6). 2423–2431. 57 indexed citations

Ewing, Todd, et al.. (2005). Polyimide Coated Capillary Tubing: A Summary of Cutting Technologies. LCGC North America. 1 indexed citations

Skillman, A. Geoffrey, Karl Maurer, Diana C. Roe, et al.. (2002). A novel mechanism for inhibition of HIV-1 reverse transcriptase. Bioorganic Chemistry. 30(6). 443–458. 27 indexed citations

Ewing, Todd, Shingo Makino, A. Geoffrey Skillman, & Irwin D. Kuntz. (2001). DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases. Journal of Computer-Aided Molecular Design. 15(5). 411–428. 921 indexed citations breakdown →

Makino, Shingo, Todd Ewing, & Irwin D. Kuntz. (1999). DREAM++: Flexible docking program for virtual combinatorial libraries. Journal of Computer-Aided Molecular Design. 13(5). 513–532. 48 indexed citations

Haque, Tasir S., A. Geoffrey Skillman, Hiromu Habashita, et al.. (1999). Potent, Low-Molecular-Weight Non-Peptide Inhibitors of Malarial Aspartyl Protease Plasmepsin II. Journal of Medicinal Chemistry. 42(8). 1428–1440. 135 indexed citations

10.

Ewing, Todd, et al.. (1998). CombiDOCK: Structure-based combinatorial docking and library design. Journal of Computer-Aided Molecular Design. 12(6). 597–604. 48 indexed citations

11.

Kick, Ellen K., Diana C. Roe, Guangcheng Liu, et al.. (1997). Structure-based design and combinatorial chemistry yield low nanomolar inhibitors of cathepsin D. Chemistry & Biology. 4(4). 297–307. 105 indexed citations

12.

Ewing, Todd & Irwin D. Kuntz. (1997). Critical evaluation of search algorithms for automated molecular docking and database screening. Journal of Computational Chemistry. 18(9). 1175–1189. 414 indexed citations

13.

Good, Andrew C., Todd Ewing, Daniel A. Gschwend, & Irwin D. Kuntz. (1995). New molecular shape descriptors: Application in database screening. Journal of Computer-Aided Molecular Design. 9(1). 1–12. 34 indexed citations

14.

Ewing, Todd & Terry P. Lybrand. (1994). A Comparison of Perturbation Methods and Poisson-Boltzmann Electrostatics Calculations for Estimation of Relative Solvation Free Energies. The Journal of Physical Chemistry. 98(7). 1748–1752. 18 indexed citations

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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