T O'Connor

34 papers receiving 1.2k citations

Peers

T O'Connor
Comparison fields: 5 of 82
  • Virology 575
  • Parasitology 421
  • Infectious Diseases 442
  • Epidemiology 461
  • Genetics 288
Replace Shelly J. Robertson with:
Shelly J. Robertson United States
Dale Dondero United States
Milind M. Gore India
Nisha K. Duggal United States
Juliana Almeida Leite Brazil
Edward Guy United Kingdom
Béla Dénes Hungary
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Citations per field
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Citations per year

Countries citing papers authored by T O'Connor

Since Specialization
Citations

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

Fields of papers citing papers by T O'Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T O'Connor. 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 T O'Connor. The network helps show where T O'Connor may publish in the future.

Co-authors

The 25 scholars most cited alongside T O'Connor, 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 T O'Connor Line = papers co-authored together T O'Connor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988409
2 201096
3 202085
4 200672
5 198966
6 199051
7 200449
8 198849
9 201746
10 201038
11 200738
12
Utility of an in-office C6 ELISA test kit for determination of infection status of dogs naturally exposed to Borrelia burgdorferi.
200238
13 198838
14
Evaluation of a canine C6 ELISA Lyme disease test for the determination of the infection status of cats naturally exposed to Borrelia burgdorferi.
200323
15 200922
16 201019
17 199015
18 201714
19 201414
20 201114

About T O'Connor

T O'Connor is a scholar working on Parasitology, Infectious Diseases, Virology, Genetics and Molecular Biology, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (13 papers), Viral Infections and Vectors (7 papers), HIV Research and Treatment (7 papers), Dermatological diseases and infestations (6 papers), Virus-based gene therapy research (4 papers), Vector-Borne Animal Diseases (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Virology (575 citations), Parasitology (421 citations), Infectious Diseases (442 citations), Epidemiology (461 citations) and Genetics (288 citations). T O'Connor has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Janet K. Yamamoto, Linda Lowenstine, Carol P. Mandell, R. Munn, Philip R. Andersen, Niels C. Pedersen, Edward B. Breitschwerdt, Ramaswamy Chandrashekar, Steven A. Levy and Melissa J. Beall. Their work appears in journals such as American Journal of Veterinary Research, Clinical and Vaccine Immunology, Journal of Clinical Microbiology, Vector-Borne and Zoonotic Diseases and Journal of Veterinary Diagnostic Investigation.

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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