John J. Treanor

1.6k total citations
35 papers, 1.2k citations indexed

About

John J. Treanor is a scholar working on Agronomy and Crop Science, Small Animals and Epidemiology. According to data from OpenAlex, John J. Treanor has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Agronomy and Crop Science, 11 papers in Small Animals and 10 papers in Epidemiology. Recurrent topics in John J. Treanor's work include Animal Disease Management and Epidemiology (13 papers), Brucella: diagnosis, epidemiology, treatment (11 papers) and Influenza Virus Research Studies (7 papers). John J. Treanor is often cited by papers focused on Animal Disease Management and Epidemiology (13 papers), Brucella: diagnosis, epidemiology, treatment (11 papers) and Influenza Virus Research Studies (7 papers). John J. Treanor collaborates with scholars based in United States, Canada and France. John J. Treanor's co-authors include Ann R. Falsey, Nadia Tornieporth, Jose Capellan, Geoffrey J. Gorse, Rick Wallen, P. J. White, Chris Geremia, Robert B. Belshe, Christopher S. Hackett and Gale Smith and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and PLoS ONE.

In The Last Decade

John J. Treanor

32 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John J. Treanor United States 18 616 253 253 200 166 35 1.2k
Leslie A. Reperant Netherlands 21 615 1.0× 146 0.6× 505 2.0× 330 1.6× 106 0.6× 32 1.2k
Hélder Cortes Portugal 24 243 0.4× 188 0.7× 357 1.4× 138 0.7× 48 0.3× 48 1.3k
Megan Lloyd Australia 18 335 0.5× 178 0.7× 251 1.0× 54 0.3× 92 0.6× 34 903
Susan K. Mikota United States 17 612 1.0× 80 0.3× 664 2.6× 139 0.7× 117 0.7× 35 1.2k
Mara Rocchi United Kingdom 20 186 0.3× 351 1.4× 252 1.0× 355 1.8× 92 0.6× 71 1.1k
P. Cynda Crawford United States 24 641 1.0× 120 0.5× 341 1.3× 242 1.2× 62 0.4× 44 1.5k
Dale E. Berry United States 15 670 1.1× 81 0.3× 727 2.9× 349 1.7× 63 0.4× 23 1.0k
Anne Sofie Hammer Denmark 15 221 0.4× 86 0.3× 444 1.8× 135 0.7× 131 0.8× 49 941
Gastón Moré Argentina 23 448 0.7× 68 0.3× 188 0.7× 173 0.9× 40 0.2× 94 1.5k
Suzan Murray United States 17 204 0.3× 55 0.2× 268 1.1× 97 0.5× 71 0.4× 83 905

Countries citing papers authored by John J. Treanor

Since Specialization
Citations

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

Fields of papers citing papers by John J. Treanor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John J. Treanor

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Treanor. A scholar is included among the top collaborators of John J. Treanor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John J. Treanor. John J. Treanor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Belshe, Robert B., David I. Bernstein, Kathryn M. Edwards, et al.. (2025). Vaccine and Treatment Evaluation Units: A Historical Perspective. Clinical Infectious Diseases. 81(Supplement_2). S59–S77.
2.
Register, Karen B., Kelly Patyk, Steven J. Sweeney, et al.. (2021). Serological evidence for historical and present-day exposure of North American bison to Mycoplasma bovis. BMC Veterinary Research. 17(1). 18–18. 5 indexed citations
3.
Kamath, Pauline L., Jeffrey T. Foster, Kevin P. Drees, et al.. (2016). Genomics reveals historic and contemporary transmission dynamics of a bacterial disease among wildlife and livestock. Nature Communications. 7(1). 11448–11448. 90 indexed citations
4.
Hobbs, N. Thompson, Chris Geremia, John J. Treanor, et al.. (2015). State‐space modeling to support management of brucellosis in the Yellowstone bison population. Ecological Monographs. 85(4). 525–556. 41 indexed citations
5.
Treanor, John J., et al.. (2015). Plains Spadefoot,Spea bombifrons, Confirmed in Yellowstone National Park. Northwestern Naturalist. 96(3). 227–229. 2 indexed citations
6.
White, P. J., et al.. (2013). Bovine brucellosis in wildlife: using adaptive management to improve understanding, technology and suppression. Revue Scientifique et Technique de l OIE. 32(1). 263–270. 3 indexed citations
7.
Treanor, John J.. (2013). Integrating ecology with management to control wildlife brucellosis. Revue Scientifique et Technique de l OIE. 32(1). 239–247. 7 indexed citations
8.
Cross, Paul C., et al.. (2011). Simulating sterilization, vaccination, and test-and-remove as brucellosis control measures in bison. Ecological Applications. 21(8). 2944–2959. 23 indexed citations
9.
Treanor, John J., Chris Geremia, Philip H. Crowley, et al.. (2011). Estimating probabilities of active brucellosis infection in Yellowstone bison through quantitative serology and tissue culture. Journal of Applied Ecology. 48(6). 1324–1332. 30 indexed citations
10.
Geremia, Chris, P. J. White, Rick Wallen, et al.. (2011). Predicting Bison Migration out of Yellowstone National Park Using Bayesian Models. PLoS ONE. 6(2). e16848–e16848. 31 indexed citations
11.
12.
Treanor, John J., Joseph S. Johnson, Rick Wallen, et al.. (2010). Vaccination strategies for managing brucellosis in Yellowstone bison. Vaccine. 28. F64–F72. 25 indexed citations
13.
Keitel, Wendy A., John J. Treanor, Hana M. El Sahly, et al.. (2009). Evaluation of a plasmid DNA-based anthrax vaccine in rabbits, nonhuman primates and healthy adults. Human Vaccines. 5(8). 536–544. 19 indexed citations
14.
Keitel, Wendy A., James Campbell, John J. Treanor, et al.. (2008). Safety and Immunogenicity of an Inactivated Influenza A/H5N1 Vaccine Given with or without Aluminum Hydroxide to Healthy Adults: Results of a Phase I–II Randomized Clinical Trial. The Journal of Infectious Diseases. 198(9). 1309–1316. 75 indexed citations
15.
Belshe, Robert B., Frances K. Newman, Sharon E. Frey, et al.. (2004). Dose‐Dependent Neutralizing‐Antibody Responses to Vaccinia. The Journal of Infectious Diseases. 189(3). 493–497. 30 indexed citations
16.
17.
Kallás, Esper G., et al.. (1999). Production of Influenza-Stimulated Tumor Necrosis Factor-alpha by Monocytes Following Acute Influenza Infection in Humans. Journal of Interferon & Cytokine Research. 19(7). 751–755. 11 indexed citations
18.
Kallás, Esper G., et al.. (1999). Detection of Intracellular Antigen‐Specific Cytokines in Human T Cell Populations. The Journal of Infectious Diseases. 179(5). 1124–1131. 36 indexed citations
19.
Treanor, John J., Robert F. Betts, Gale Smith, et al.. (1996). Evaluation of a Recombinant Hemagglutinin Expressed in Insect Cells as an Influenza Vaccine in Young and Elderly Adults. The Journal of Infectious Diseases. 173(6). 1467–1470. 64 indexed citations
20.
Treanor, John J., Ghinwa Dumyati, Amos M. Yinnon, et al.. (1992). Annals of Internal Medicine Protective Efficacy of Combined Live Intranasal and Inactivated Influenza A Virus Vaccines in the Elderly. 1 indexed citations

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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