Jeff R. Wilcke
- Equine top 2%
- Veterinary Equine Medical Research 4
- Small Animals top 2%
- Veterinary Pharmacology and Anesthesia 5
- Veterinary Medicine and Surgery 2
- Pharmacology top 10%
- Antibiotics Pharmacokinetics and Efficacy 8
- Inflammatory mediators and NSAID effects 3
- Animal Science and Zoology top 10%
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- Drug Transport and Resistance Mechanisms 3
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- Insect and Pesticide Research 3
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- Pesticide Exposure and Toxicity 3
- Co-authors
- Mark V. CrismanLloyd DavisC. A. NEFF‐DAVISRichard A. SamsG. D. KORITZW. Kent ScarrattMarion EhrichDaniel L. Ward
- Cited by
- EquineSmall AnimalsPharmacology
- Journals
- Journal of the American Medical Informatics Association (1 paper)Computers in Biology and Medicine (1 paper)Journal of the American Veterinary Medical Association (3 papers)
- Partner nations
- United States
In The Last Decade
Jeff R. Wilcke
29 papers receiving 346 citations
Peers
Comparison fields: 5 of 97
- Equine 57
- Small Animals 139
- Pharmacology 116
- Anesthesiology and Pain Medicine 24
- Animal Science and Zoology 41
Countries citing papers authored by Jeff R. Wilcke
This map shows the geographic impact of Jeff R. Wilcke'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 Jeff R. Wilcke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff R. Wilcke more than expected).
Fields of papers citing papers by Jeff R. Wilcke
This network shows the impact of papers produced by Jeff R. Wilcke. 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 Jeff R. Wilcke. The network helps show where Jeff R. Wilcke may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeff R. Wilcke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 14 | |
| 2 | 2006 | 15 | |
| 3 | 2005 | 6 | |
| 4 | 2003 | 13 | |
| 5 | 2003 | 6 | |
| 6 | 1998 | 18 | |
| 7 | 1998 | 3 | |
| 8 | 1997 | 7 | |
| 9 | 1996 | 25 | |
| 10 | 1995 | 4 | |
| 11 | 1993 | 22 | |
| 12 | 1993 | 18 | |
| 13 | 1992 | 17 | |
| 14 | 1991 | 4 | |
| 15 | 1991 | 7 | |
| 16 | Use of antimicrobial drugs to prevent infections in veterinary patients. | 1990 | 3 |
| 17 | Therapeutic application of sulfadiazine/trimethoprim in dogs and cats: a review | 1988 | 5 |
| 18 | 1986 | 4 | |
| 19 | 1983 | 30 | |
| 20 | 1980 | 5 |
About Jeff R. Wilcke
Jeff R. Wilcke is a scholar working on Equine, Small Animals and Pharmacology, having authored 29 papers that have together received 370 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (8 papers), Veterinary Pharmacology and Anesthesia (5 papers), Veterinary Equine Medical Research (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Insect and Pesticide Research (3 papers), Pesticide Exposure and Toxicity (3 papers), Inflammatory mediators and NSAID effects (3 papers) and Veterinary Medicine and Surgery (2 papers). The work is most often cited by research in Equine (57 citations), Small Animals (139 citations) and Pharmacology (116 citations). Jeff R. Wilcke has collaborated with scholars based in United States. Frequent co-authors include Mark V. Crisman, Lloyd Davis, C. A. NEFF‐DAVIS, Richard A. Sams, G. D. KORITZ, W. Kent Scarratt, Marion Ehrich, Daniel L. Ward, J. Dawn Abbott and Julie M. Green. Their work appears in journals such as Journal of the American Medical Informatics Association, Computers in Biology and Medicine and Journal of the American Veterinary Medical Association.
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.