James S. Guy

4.1k citations
99 papers · 2.9k · h-index 33

Impact in

Papers in

James S. Guy

98 papers receiving 2.8k citations

Peers

James S. Guy
Comparison fields: 5 of 109
  • Animal Science and Zoology 1.2k
  • Infectious Diseases 1.3k
  • Agronomy and Crop Science 426
  • Endocrinology 177
  • Epidemiology 1.0k
Replace Y. Μ. Saif with:
Y. Μ. Saif United States
Laila Darwich Spain
Peter J. Timoney United States
Dolores Gavier‐Widén Sweden
Xutao Deng United States
Joanne M. Devlin Australia
Tongling Shan China
Ádám Dán Hungary
Susan L. Brockmeier United States
Amir H. Noormohammadi Australia
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Citations per field
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Y. Μ. Saif · 1×
Citations per year

Countries citing papers authored by James S. Guy

Since Specialization
Citations

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

Fields of papers citing papers by James S. Guy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James S. Guy. 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 James S. Guy. The network helps show where James S. Guy may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991151
2 2000136
3 2000115
4 1984113
5
Experimental ocular herpesvirus infection in the cat. Sites of virus replication, clinical features and effects of corticosteroid administration.
198997
6 199088
7 200487
8 199886
9 199769
10 200067
11 200066
12 200763
13 199359
14 198959
15 198953
16 200352
17 199450
18 198649
19 198048
20 199948

About James S. Guy

James S. Guy is a scholar working on Animal Science and Zoology, Infectious Diseases, Epidemiology, Cardiology and Cardiovascular Medicine and Genetics, having authored 99 papers that have together received 2.9k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (45 papers), Viral gastroenteritis research and epidemiology (36 papers), Herpesvirus Infections and Treatments (33 papers), Viral Infections and Immunology Research (20 papers), Virus-based gene therapy research (16 papers), Animal Disease Management and Epidemiology (16 papers), SARS-CoV-2 and COVID-19 Research (10 papers) and Cytomegalovirus and herpesvirus research (8 papers). The work is most often cited by research in Animal Science and Zoology (1.2k citations), Infectious Diseases (1.3k citations), Agronomy and Crop Science (426 citations), Endocrinology (177 citations) and Epidemiology (1.0k citations). James S. Guy has collaborated with scholars based in United States, France and Malaysia. Frequent co-authors include H. John Barnes, Lynda G. Smith, Jamie J. Breslin, Mark P. Nasisse, Michael G. Davidson, Martin D. Ficken, L. N. D. Potgieter, Richard C. Jones, T. J. Bagust and Frederick J. Fuller. Their work appears in journals such as Avian Diseases, Avian Pathology, American Journal of Veterinary Research, Journal of Medical Entomology and Journal of Virology.

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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