S. C. E. FRIEND

548 citations
18 papers · 400 indexed · 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-authorship network

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

About S. C. E. FRIEND

S. C. E. FRIEND is a scholar working on Equine, Small Animals, Microbiology, Endocrinology and Virology, having authored 18 papers that have together received 400 indexed citations. Recurring topics across this work include Microbial infections and disease research (5 papers), Diphtheria, Corynebacterium, and Tetanus (2 papers), Tuberculosis Research and Epidemiology (2 papers), Mycotoxins in Agriculture and Food (2 papers), Animal health and immunology (2 papers), Mycobacterium research and diagnosis (2 papers), Veterinary Equine Medical Research (2 papers) and Veterinary Oncology Research (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 Czechia. 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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