Jeff Caswell

4.2k citations
103 papers · 2.6k indexed · h-index 27

Impact in

Papers in

    • Microbial infections and disease research 40
    • Antimicrobial Peptides and Activities 17
    • Animal health and immunology 12

Jeff Caswell

97 papers receiving 2.5k citations

Peers

Jeff Caswell
Comparison fields: 5 of 107
  • Microbiology 1.2k
  • Equine 91
  • Small Animals 372
  • Agronomy and Crop Science 508
  • Immunology 661
Replace Trevor R. Ames with:
Trevor R. Ames United States
Joachim Spergser Austria
Terry W. Lehenbauer United States
Katleen Hermans Belgium
Michele A. Miller South Africa
Derek A. Mosier United States
D. L. Step United States
R. Ducatelle Belgium
Dale L. Godson Canada
Robert J. Callan United States
Jeff Caswell relative to Trevor R. Ames United States Trevor R. Ames's profile →
Citations per field
00.5×8.3×
Trevor R. Ames · 1×
Citations per year

Countries citing papers authored by Jeff Caswell

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Caswell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff Caswell. 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 Caswell. The network helps show where Jeff Caswell may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3
The effect of aerosolized bacterial lysate on experimentally induced Mannheimia haemolytica pneumonia in calves.
20222
4 20216
5 20217
6 201916
7 20181
8 201825
9 201874
10 20158
11 20159
12 201237
13 20117
14 200845
15 200724
16 200520
17 20048
18 200012
19
Chronic fibrinous and necrotic orchitis in a cat.
199611
20 199522

About Jeff Caswell

Jeff Caswell is a scholar working on Microbiology, Small Animals, Equine, Agronomy and Crop Science and Immunology, having authored 103 papers that have together received 2.6k indexed citations. Recurring topics across this work include Microbial infections and disease research (40 papers), Antimicrobial Peptides and Activities (17 papers), Immune Response and Inflammation (16 papers), Animal health and immunology (12 papers), Animal Disease Management and Epidemiology (8 papers), Veterinary Oncology Research (7 papers), Immune Cell Function and Interaction (6 papers) and Milk Quality and Mastitis in Dairy Cows (6 papers). The work is most often cited by research in Microbiology (1.2k citations), Equine (91 citations), Small Animals (372 citations), Agronomy and Crop Science (508 citations) and Immunology (661 citations). Jeff Caswell has collaborated with scholars based in Canada, United States and Egypt. Frequent co-authors include Marie Archambault, Gordon Mitchell, Mary E. Clark, Hugh Y. Cai, John Gordon, Dorothy M. Middleton, Tony van Dreumel, K G Bateman, Laura Bassel and Mihai Gagea. Their work appears in journals such as Veterinary Pathology, Veterinary Immunology and Immunopathology, American Journal of Veterinary Research, Journal of Veterinary Diagnostic Investigation and Veterinary Research.

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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