James T. Case

54 papers receiving 1.6k citations

Peers

James T. Case
Comparison fields: 5 of 142
  • Equine 573
  • Orthopedics and Sports Medicine 292
  • Health Information Management 130
  • Small Animals 175
  • Agronomy and Crop Science 164
Replace Johann Detilleux with:
Johann Detilleux Belgium
David J. Platt United Kingdom
Gabriel Milinovich Australia
Sarah Parker Canada
L. Bonizzi Italy
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Bryn Tennant United Kingdom
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Countries citing papers authored by James T. Case

Since Specialization
Citations

This map shows the geographic impact of James T. Case'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 T. Case with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. Case more than expected).

Fields of papers citing papers by James T. Case

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003370
2 1996121
3 199889
4 199889
5 201082
6 199675
7 199575
8 198172
9 200271
10 201646
11 201145
12 201444
13 199635
14 199135
15
Optimization of parameters for detecting antibodies against infectious bronchitis virus using an enzyme-linked immunosorbent assay: temporal response to vaccination and challenge with live virus.
198333
16 201433
17 199232
18 200630
19 201229
20 199827

About James T. Case

James T. Case is a scholar working on Molecular Biology, Equine, Artificial Intelligence, Genetics and Agronomy and Crop Science, having authored 59 papers that have together received 1.7k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (12 papers), Veterinary Equine Medical Research (11 papers), Semantic Web and Ontologies (7 papers), Animal Disease Management and Epidemiology (5 papers), Animal Virus Infections Studies (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Veterinary Practice and Education Studies (4 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Equine (573 citations), Orthopedics and Sports Medicine (292 citations), Health Information Management (130 citations), Small Animals (175 citations) and Agronomy and Crop Science (164 citations). James T. Case has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Alex Ardans, Susan M. Stover, Ian A. Gardner, Bill Johnson, Deryck H. Read, Douglas C. Wallace, Hailu Kinde, Janet Moore, Raymond D. Aller and Clement J. McDonald. Their work appears in journals such as Journal of Veterinary Diagnostic Investigation, Journal of the American Veterinary Medical Association, American Journal of Veterinary Research, Avian Diseases and Journal of the American Medical Informatics Association.

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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