Kenneth E. Peck

19 papers receiving 430 citations

Peers

Kenneth E. Peck
Comparison fields: 5 of 67
  • Equine 170
  • Small Animals 225
  • Animal Science and Zoology 91
  • Cellular and Molecular Neuroscience 121
  • Insect Science 75
Replace R. A. Mosher with:
R. A. Mosher United States
L. Μ. McLeay New Zealand
Masahiko Kurosawa Japan
Ximena Valderrama Chile
Mickey A. Latour United States
P. Minoia Italy
G Stodulski United Kingdom
Laura Arroyo Spain
E. Payne Australia
Juan Carlos Gardón Spain
Kenneth E. Peck relative to R. A. Mosher United States R. A. Mosher's profile →
Citations per field
00.5×10×15×20×25×
R. A. Mosher · 1×
Citations per year

Countries citing papers authored by Kenneth E. Peck

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth E. Peck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 199946
2 198843
3 199739
4 199038
5 200636
6 200436
7 200435
8 199731
9 199726
10 200126
11 198825
12 200224
13 198721
14 200219
15 200418
16 19968
17 20025
18 20014
19 20221

About Kenneth E. Peck

Kenneth E. Peck is a scholar working on Pharmacology, Small Animals, Equine, Animal Science and Zoology and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 481 indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (6 papers), Veterinary Pharmacology and Anesthesia (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Pharmacological Effects and Assays (5 papers), Neurobiology and Insect Physiology Research (4 papers), Dermatology and Skin Diseases (3 papers), Analytical Methods in Pharmaceuticals (2 papers) and Insect Utilization and Effects (2 papers). The work is most often cited by research in Equine (170 citations), Small Animals (225 citations), Animal Science and Zoology (91 citations), Cellular and Molecular Neuroscience (121 citations) and Insect Science (75 citations). Kenneth E. Peck has collaborated with scholars based in United States. Frequent co-authors include Katrina L. Mealey, Nora S. Matthews, Tex S. Taylor, Karl H. Dahm, T. Taylor, Govindan Bhaskaran, Steven Sparagana, Rance K. Sellon, Katja Melzer and Graham Swinney. Their work appears in journals such as American Journal of Veterinary Research, Journal of Veterinary Internal Medicine, Journal of Veterinary Pharmacology and Therapeutics, Journal of Veterinary Diagnostic Investigation and Journal of Insect Physiology.

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.

Explore authors with similar magnitude of impact