William E. Woods

58 papers receiving 628 citations

Peers

William E. Woods
Comparison fields: 5 of 79
  • Equine 137
  • Small Animals 251
  • Animal Science and Zoology 143
  • Toxicology 69
  • Analytical Chemistry 48
Replace M. Debackere with:
M. Debackere Belgium
Dan S. McKemie United States
Cynthia L. Gaskill United States
Patricia Anielski Germany
Fabien Bévalot France
Beata Łebkowska‐Wieruszewska Poland
Robert Leonard Epstein United States
D. C. Dyer United States
Pedro Sánchez-Aparicio Mexico
Ibrahim Hakki Yoruk Türkiye
William E. Woods relative to M. Debackere Belgium M. Debackere's profile →
Citations per field
00.5×2×4×6×8.1×
M. Debackere · 1×
Citations per year

Countries citing papers authored by William E. Woods

Since Specialization
Citations

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

Fields of papers citing papers by William E. Woods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Woods. 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 E. Woods. The network helps show where William E. Woods may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198681
2 199466
3 200132
4 199030
5 200127
6 199626
7 198324
8 198522
9 200822
10 198320
11
The effects of naloxone on endotoxic and hemorrhagic shock in horses.
198417
12 199716
13 200416
14 200416
15 198615
16 200014
17 198413
18 200013
19
New therapeutic approaches for equine protozoal myeloencephalitis: pharmacokinetics of diclazuril sodium salts in horses.
200613
20 199612

About William E. Woods

William E. Woods is a scholar working on Small Animals, Animal Science and Zoology, Toxicology, Equine and Sociology and Political Science, having authored 58 papers that have together received 702 indexed citations. Recurring topics across this work include Veterinary Pharmacology and Anesthesia (33 papers), Pharmacological Effects and Assays (31 papers), Doping in Sports (17 papers), Forensic Toxicology and Drug Analysis (16 papers), Veterinary Equine Medical Research (8 papers), Analytical Methods in Pharmaceuticals (2 papers), Sepsis Diagnosis and Treatment (2 papers) and Coffee research and impacts (1 paper). The work is most often cited by research in Equine (137 citations), Small Animals (251 citations), Animal Science and Zoology (143 citations), Toxicology (69 citations) and Analytical Chemistry (48 citations). William E. Woods has collaborated with scholars based in United States, Brazil and France. Frequent co-authors include Thomas Tobin, J. Daniel Harkins, Jerry W. Blake, Andreas F. Lehner, Timothy J. Weckman, John K. Belknap, Bryan K. Tolliver, John M. Carney, Levent Dirikolu and Scott D. Stanley. Their work appears in journals such as Journal of Veterinary Pharmacology and Therapeutics, Equine Veterinary Journal, Journal of Analytical Toxicology, American Journal of Veterinary Research and Chromatographia.

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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