John Pringle

90 papers receiving 1.7k citations

Peers

John Pringle
Comparison fields: 5 of 120
  • Equine 383
  • Small Animals 248
  • Microbiology 190
  • Parasitology 184
  • Infectious Diseases 276
Replace R. F. Slocombe with:
R. F. Slocombe Australia
Ken Smith United Kingdom
Elspeth Milne United Kingdom
Harold C. Schott United States
T. S. Mair United Kingdom
Barton W. Rohrbach United States
Andrea Gröne Netherlands
Dorothee Bienzle Canada
Virginia Buechner‐Maxwell United States
Michael T. Kearney United States
John Pringle relative to R. F. Slocombe Australia R. F. Slocombe's profile →
Citations per field
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R. F. Slocombe · 1×
Citations per year

Countries citing papers authored by John Pringle

Since Specialization
Citations

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

Fields of papers citing papers by John Pringle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982118
2 200556
3 200552
4 201152
5 200951
6 201351
7 200648
8
Bronchoalveolar lavage of cranial and caudal lung regions in selected normal calves: cellular, microbiological, immunoglobulin, serological and histological variables.
198848
9
Markers of respiratory inflammation in horses in relation to seasonal changes in air quality in a conventional racing stable.
200844
10 199943
11 200942
12 200538
13 200038
14 201035
15 201532
16 201432
17 198232
18 201331
19 201530
20 200730

About John Pringle

John Pringle is a scholar working on Equine, Small Animals, Epidemiology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 91 papers that have together received 1.8k indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (20 papers), Streptococcal Infections and Treatments (11 papers), Microbial infections and disease research (8 papers), Marine and coastal plant biology (7 papers), Animal health and immunology (6 papers), Marine Biology and Ecology Research (6 papers), Optical Imaging and Spectroscopy Techniques (4 papers) and Vector-Borne Animal Diseases (4 papers). The work is most often cited by research in Equine (383 citations), Small Animals (248 citations), Microbiology (190 citations), Parasitology (184 citations) and Infectious Diseases (276 citations). John Pringle has collaborated with scholars based in Sweden, Canada and United States. Frequent co-authors include Agneta Egenvall, Miia Riihimäki, Anna Aspán, Johanna Penell, A. Gunnarsson, B. N. Bonnett, Peter L. Franzen, Lena Elfman, Pierre Lekeux and P. Olson. Their work appears in journals such as Journal of Veterinary Internal Medicine, Equine Veterinary Journal, Veterinary Microbiology, Veterinary Record and PLoS ONE.

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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