T O'Connor

1.5k citations
37 papers · 1.2k indexed · h-index 15

T O'Connor

34 papers receiving 1.2k citations

Peers

T O'Connor
Comparison fields: 5 of 83
  • Virology 574
  • Parasitology 433
  • Infectious Diseases 486
  • Epidemiology 467
  • Genetics 293
Replace Shelly J. Robertson with:
Shelly J. Robertson United States
J. Norman Flynn United Kingdom
Rose E. Sekulovich United States
Juliana Almeida Leite Brazil
Claude Méric France
Edward Guy United Kingdom
Béla Dénes Hungary
Milind M. Gore India
D Gallo United States
Dale Dondero United States
T O'Connor relative to Shelly J. Robertson United States Shelly J. Robertson's profile →
Citations per field
00.5×2.7×
Shelly J. Robertson · 1×
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-authorship network

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
#Work
1 20252
2 20250
3 20251
4 20243
5 20230
6 202080
7 201912
8 201912
9 201744
10 201413
11 201112
12 201036
13 201014
14 201092
15 200912
16 200923
17 200670
18 199048
19 1988397
20 198836

About T O'Connor

T O'Connor is a scholar working on Parasitology, Virology, Infectious Diseases, Issues, ethics and legal aspects and Applied Microbiology and Biotechnology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (15 papers), Viral Infections and Vectors (8 papers), HIV Research and Treatment (7 papers), Dermatological diseases and infestations (7 papers), Virus-based gene therapy research (5 papers), Mosquito-borne diseases and control (4 papers), Rabies epidemiology and control (4 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Virology (574 citations), Parasitology (433 citations), Infectious Diseases (486 citations), Epidemiology (467 citations) and Genetics (293 citations). T O'Connor has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Janet K. Yamamoto, R. Munn, Niels C. Pedersen, Ellen E. Sparger, Philip R. Andersen, Carol P. Mandell, Linda Lowenstine, Edward B. Breitschwerdt, Ramaswamy Chandrashekar and Steven A. Levy. Their work appears in journals such as American Journal of Veterinary Research, Clinical and Vaccine Immunology, Journal of Veterinary Diagnostic Investigation, Vector-Borne and Zoonotic Diseases and Journal of Clinical Microbiology.

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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