S. C. E. FRIEND

548 citations
18 papers · 400 · h-index 11

Impact in

  • Equine top 2%
    • Veterinary Equine Medical Research
    • Microbial infections and disease research

Papers in

S. C. E. FRIEND

18 papers receiving 335 citations

Peers

S. C. E. FRIEND
Comparison fields: 5 of 67
  • Equine 63
  • Microbiology 120
  • Small Animals 79
  • Parasitology 44
  • Virology 28
Replace Susan S. Pourciau with:
Susan S. Pourciau United States
Rue Jensen United States
Edita Jeklová Czechia
M. J. Obwolo Zimbabwe
Bruce G. McLaughlin United States
Brandon N. Lillie Canada
Rafael Ramírez Romero Mexico
S. F. E. Scholes United Kingdom
Mary Waterston United Kingdom
D.H. Lloyd United Kingdom
S. C. E. FRIEND relative to Susan S. Pourciau United States Susan S. Pourciau's profile →
Citations per field
00.5×1.5×2.3×
Susan S. Pourciau · 1×
Citations per year

Countries citing papers authored by S. C. E. FRIEND

Since Specialization
Citations

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

Fields of papers citing papers by S. C. E. FRIEND

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. C. E. FRIEND. 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 S. C. E. FRIEND. The network helps show where S. C. E. FRIEND may publish in the future.

Co-authors

The 21 scholars most cited alongside S. C. E. FRIEND, 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 S. C. E. FRIEND Line = papers co-authored together S. C. E. FRIEND links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Bovine pneumonic pasteurellosis: experimental induction in vaccinated and nonvaccinated calves.
197767
2 198946
3 198338
4
Experimental Eimeria bovis infection in calves: a histopathological study.
198037
5
Pulmonary lesions induced by Pasteurella hemolytica in cattle.
197736
6 199233
7 198326
8
Experimental T-2 toxicosis in sheep.
198325
9 197920
10 198518
11 197914
12 198810
13 19888
14 20038
15 19826
16 19854
17 19763
18 20161

About S. C. E. FRIEND

S. C. E. FRIEND is a scholar working on Small Animals, Microbiology, Surgery, Epidemiology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 400 indexed citations. Recurring topics across this work include Microbial infections and disease research (5 papers), Toxin Mechanisms and Immunotoxins (2 papers), Tuberculosis Research and Epidemiology (2 papers), Diphtheria, Corynebacterium, and Tetanus (2 papers), Veterinary Oncology Research (2 papers), Mycobacterium research and diagnosis (2 papers), Mycotoxins in Agriculture and Food (2 papers) and Animal health and immunology (2 papers). The work is most often cited by research in Equine (63 citations), Microbiology (120 citations), Small Animals (79 citations), Parasitology (44 citations) and Virology (28 citations). S. C. E. FRIEND has collaborated with scholars based in Australia, Canada and Poland. Frequent co-authors include B.N. Wilkie, R. G. Thomson, H. B. Schiefer, Lorne A. Babiuk, L. B. JEFFCOTT, P. H. G. Stockdale, D. A. Barnum, A. R. Luff, Peter Huntington and E G Russell. Their work appears in journals such as Equine Veterinary Journal, Veterinary Pathology, Australian Veterinary Journal, Veterinary Record and Journal of Wildlife Diseases.

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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