Wayne S. Schwark

2.6k citations
84 papers · 1.9k indexed · h-index 23

Wayne S. Schwark

81 papers receiving 1.8k citations

Peers

Wayne S. Schwark
Comparison fields: 5 of 113
  • Equine 108
  • Pharmacology 710
  • Small Animals 278
  • Cellular and Molecular Neuroscience 511
  • Molecular Medicine 91
Replace Meike Mevissen with:
Meike Mevissen Switzerland
Thomas W. Vickroy United States
Giulio Soldani Italy
Ziv Gan‐Or Canada
H. Richard Adams United States
Ove Svendsen Denmark
Christa Thöne‐Reineke Germany
F.G. Sulman Israel
H.‐H. Frey Germany
Karen L. Houseknecht United States
Wayne S. Schwark relative to Meike Mevissen Switzerland Meike Mevissen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wayne S. Schwark

Since Specialization
Citations

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

Fields of papers citing papers by Wayne S. Schwark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne S. Schwark. 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 Wayne S. Schwark. The network helps show where Wayne S. Schwark may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202220
4 2018189
5 201347
6 20135
7 201217
8 20119
9 200938
10 199912
11 199879
12
Pharmacological considerations in the management of peripartum conditions in the cow
19932
13 199317
14 19931
15 19928
16 19926
17 199214
18 19873
19
Age-related alterations in trimethoprim-sulfadiazine disposition following oral or parenteral administration in calves.
198616
20 198513

About Wayne S. Schwark

Wayne S. Schwark is a scholar working on Equine, Small Animals, Pharmacology, Clinical Biochemistry and Toxicology, having authored 84 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (16 papers), Neuroscience and Neuropharmacology Research (15 papers), Cannabis and Cannabinoid Research (12 papers), Drug Transport and Resistance Mechanisms (10 papers), Veterinary Pharmacology and Anesthesia (9 papers), Metabolism and Genetic Disorders (8 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Pharmacological Effects and Assays (6 papers). The work is most often cited by research in Equine (108 citations), Pharmacology (710 citations), Small Animals (278 citations), Cellular and Molecular Neuroscience (511 citations) and Molecular Medicine (91 citations). Wayne S. Schwark has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Wolfgang Löscher, John G. Babish, Joseph J. Wakshlag, Paul M. Vancutsem, Radhey L. Singhal, C.L. Guard, Debbie Callaghan, D. J. Ecobichon, Lisa Wolf and R.O. Gilbert. Their work appears in journals such as American Journal of Veterinary Research, Journal of Veterinary Pharmacology and Therapeutics, Frontiers in Veterinary Science, Experimental Neurology and Journal of Neurochemistry.

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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