Amy L. Greer

3.3k total citations
115 papers, 2.1k citations indexed

About

Amy L. Greer is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology. According to data from OpenAlex, Amy L. Greer has authored 115 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Infectious Diseases, 35 papers in Modeling and Simulation and 32 papers in Epidemiology. Recurrent topics in Amy L. Greer's work include COVID-19 epidemiological studies (35 papers), Animal Disease Management and Epidemiology (25 papers) and Influenza Virus Research Studies (21 papers). Amy L. Greer is often cited by papers focused on COVID-19 epidemiological studies (35 papers), Animal Disease Management and Epidemiology (25 papers) and Influenza Virus Research Studies (21 papers). Amy L. Greer collaborates with scholars based in Canada, United States and United Kingdom. Amy L. Greer's co-authors include David N. Fisman, Ashleigh R. Tuite, James P. Collins, Zvonimir Poljak, Seyed M. Moghadas, Jian Wu, Jeffrey C. Kwong, Jan M. Sargeant, Gabrielle Brankston and Steven J. Drews and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Amy L. Greer

108 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy L. Greer Canada 24 811 689 581 413 185 115 2.1k
Jonathan M. Read United Kingdom 28 1.5k 1.8× 1.2k 1.8× 1.1k 1.8× 485 1.2× 151 0.8× 93 3.4k
Małgorzata Sadkowska-Todys Poland 12 1.4k 1.7× 842 1.2× 1.0k 1.8× 376 0.9× 126 0.7× 108 2.7k
Petra Klepac United Kingdom 22 991 1.2× 442 0.6× 486 0.8× 319 0.8× 59 0.3× 40 1.8k
Ellen Brooks‐Pollock United Kingdom 22 630 0.8× 1.1k 1.6× 758 1.3× 245 0.6× 374 2.0× 66 2.2k
Zhongjie Li China 36 859 1.1× 1.4k 2.0× 1.1k 1.8× 979 2.4× 400 2.2× 156 3.9k
Aronrag Meeyai Thailand 15 1.1k 1.3× 410 0.6× 956 1.6× 360 0.9× 196 1.1× 30 1.8k
Ashleigh R. Tuite Canada 29 1.3k 1.6× 1.2k 1.7× 990 1.7× 498 1.2× 71 0.4× 124 3.3k
Sopon Iamsirithaworn Thailand 22 1.4k 1.8× 1.1k 1.6× 1.1k 1.9× 1.2k 2.9× 234 1.3× 99 3.1k
Tianmu Chen China 17 843 1.0× 670 1.0× 328 0.6× 453 1.1× 140 0.8× 128 1.6k
James E. Truscott United Kingdom 31 540 0.7× 548 0.8× 282 0.5× 700 1.7× 102 0.6× 72 3.1k

Countries citing papers authored by Amy L. Greer

Since Specialization
Citations

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

Fields of papers citing papers by Amy L. Greer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy L. Greer. 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 Amy L. Greer. The network helps show where Amy L. Greer may publish in the future.

Co-authorship network of co-authors of Amy L. Greer

This figure shows the co-authorship network connecting the top 25 collaborators of Amy L. Greer. A scholar is included among the top collaborators of Amy L. Greer 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 Amy L. Greer. Amy L. Greer 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
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Greer, Amy L., et al.. (2025). Exploring the impact and transmission of Salmonella Dublin in crossbred dairy calves. Journal of Dairy Science. 108(4). 4225–4233. 1 indexed citations
3.
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Fernandez‐Prada, Christopher, et al.. (2024). Ecological determinants of leishmaniasis vector, Lutzomyia spp.: A scoping review. Medical and Veterinary Entomology. 38(4). 393–406. 5 indexed citations
5.
Brankston, Gabrielle, Jean‐Paul Soucy, Anette Hulth, et al.. (2024). An Evaluation of the Impact of an OPEN Stewardship Generated Feedback Intervention on Antibiotic Prescribing among Primary Care Veterinarians in Canada and Israel. Animals. 14(4). 626–626. 1 indexed citations
6.
Berry, Isha, Shelby L. Sturrock, James E. Wright, et al.. (2021). A sub-national real-time epidemiological and vaccination database for the COVID-19 pandemic in Canada. Scientific Data. 8(1). 173–173. 18 indexed citations
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Berry, Isha, Punam Mangtani, Mahbubur Rahman, et al.. (2021). Population Health Surveillance Using Mobile Phone Surveys in Low- and Middle-Income Countries: Methodology and Sample Representativeness of a Cross-sectional Survey of Live Poultry Exposure in Bangladesh. JMIR Public Health and Surveillance. 7(11). e29020–e29020. 6 indexed citations
9.
Brankston, Gabrielle, Eric Merkley, David N. Fisman, et al.. (2021). Quantifying contact patterns in response to COVID-19 public health measures in Canada. BMC Public Health. 21(1). 2040–2040. 20 indexed citations
10.
Brankston, Gabrielle, Eric Merkley, David N. Fisman, et al.. (2021). Socio-demographic disparities in knowledge, practices, and ability to comply with COVID-19 public health measures in Canada. Canadian Journal of Public Health. 112(3). 363–375. 42 indexed citations
11.
O’Sullivan, Terri L., Amy L. Greer, Davor Ojkić, et al.. (2021). The impact of porcine reproductive and respiratory syndrome virus (PRRSV) genotypes, established on the basis of ORF-5 nucleotide sequences, on three production parameters in Ontario sow farms. Preventive Veterinary Medicine. 189. 105312–105312. 5 indexed citations
12.
Fisman, David N., et al.. (2020). Derivation and Validation of Clinical Prediction Rules for COVID-19 Mortality in Ontario, Canada. Open Forum Infectious Diseases. 7(11). ofaa463–ofaa463. 14 indexed citations
13.
Sargeant, Jan M., et al.. (2020). The Prevalence of Campylobacter in Live Cattle, Turkey, Chicken, and Swine in the United States and Canada: A Systematic Review and Meta-Analysis. Foodborne Pathogens and Disease. 18(4). 230–242. 23 indexed citations
14.
Farrell, Alex, James P. Collins, Amy L. Greer, & Horst R. Thieme. (2018). Times from Infection to Disease-Induced Death and their Influence on Final Population Sizes After Epidemic Outbreaks. Bulletin of Mathematical Biology. 80(7). 1937–1961. 8 indexed citations
15.
Kelton, D.F., et al.. (2018). A rapid scoping review of Middle East respiratory syndrome coronavirus in animal hosts. Zoonoses and Public Health. 66(1). 35–46. 5 indexed citations
16.
Tuite, Ashleigh R., et al.. (2017). Stochastic agent-based modeling of tuberculosis in Canadian Indigenous communities. BMC Public Health. 17(1). 73–73. 20 indexed citations
17.
Greer, Amy L., et al.. (2012). Transmissibility of the 2009 H1N1 pandemic in remote and isolated Canadian communities: a modelling study. BMJ Open. 2(5). e001614–e001614. 18 indexed citations
18.
Arino, Julien, Chris T. Bauch, Fred Brauer, et al.. (2011). Pandemic influenza: Modelling and public health perspectives. Mathematical Biosciences & Engineering. 8(1). 1–20. 14 indexed citations
19.
Greer, Amy L., Danna M. Schock, Jesse L. Brunner, et al.. (2009). Guidelines for the safe use of disposable gloves with amphibian larvae in light of pathogens and possible toxic effects. Herpetological review. 40(2). 145–147. 8 indexed citations
20.
Fisman, David N., et al.. (2009). Of gastro and the gold standard: evaluation and policy implications of norovirus test performance for outbreak detection. Journal of Translational Medicine. 7(1). 23–23. 17 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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