Megan N. Thomas

459 total citations
8 papers, 174 citations indexed

About

Megan N. Thomas is a scholar working on Epidemiology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, Megan N. Thomas has authored 8 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Infectious Diseases and 4 papers in Agronomy and Crop Science. Recurrent topics in Megan N. Thomas's work include Influenza Virus Research Studies (6 papers), Viral gastroenteritis research and epidemiology (4 papers) and Animal Disease Management and Epidemiology (4 papers). Megan N. Thomas is often cited by papers focused on Influenza Virus Research Studies (6 papers), Viral gastroenteritis research and epidemiology (4 papers) and Animal Disease Management and Epidemiology (4 papers). Megan N. Thomas collaborates with scholars based in United States. Megan N. Thomas's co-authors include Joshua F. McMichael, Malachi Griffith, Obi L. Griffith, William E. Gillanders, Aaron Graubert, Huiming Xia, Christopher A. Miller, Elaine R. Mardis, Jasreet Hundal and Sidi Zhao and has published in prestigious journals such as Journal of Virology, Veterinary Microbiology and Viruses.

In The Last Decade

Megan N. Thomas

7 papers receiving 170 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Megan N. Thomas United States	4	100	97	68	49	24	8	174
Anne Slomp Netherlands	7	60 0.6×	184 1.9×	55 0.8×	16 0.3×	26 1.1×	8	304
Antonela Merlotti Argentina	7	128 1.3×	91 0.9×	49 0.7×	8 0.2×	11 0.5×	13	217
Nivashini Kaliaperumal Singapore	5	136 1.4×	87 0.9×	34 0.5×	10 0.2×	58 2.4×	10	258
Daniel Gliddon United Kingdom	8	209 2.1×	55 0.6×	166 2.4×	70 1.4×	10 0.4×	15	309
Nigel A. Sharp United Kingdom	10	107 1.1×	135 1.4×	97 1.4×	22 0.4×	32 1.3×	11	285
Clément Cocita United Kingdom	6	214 2.1×	137 1.4×	65 1.0×	46 0.9×	22 0.9×	10	286
Lan Zhu China	7	72 0.7×	83 0.9×	27 0.4×	8 0.2×	26 1.1×	8	178
Anna Obraztsova Russia	6	163 1.6×	76 0.8×	67 1.0×	21 0.4×	14 0.6×	8	234
Susan Kelley United States	6	64 0.6×	89 0.9×	55 0.8×	21 0.4×	8 0.3×	7	197
Mark Yarmarkovich United States	8	96 1.0×	178 1.8×	43 0.6×	68 1.4×	55 2.3×	10	258

Countries citing papers authored by Megan N. Thomas

Since Specialization

Citations

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

Fields of papers citing papers by Megan N. Thomas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan N. Thomas. 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 Megan N. Thomas. The network helps show where Megan N. Thomas may publish in the future.

Co-authorship network of co-authors of Megan N. Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Megan N. Thomas. A scholar is included among the top collaborators of Megan N. Thomas 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 Megan N. Thomas. Megan N. Thomas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Markin, Alexey, Megan N. Thomas, Carine K. Souza, et al.. (2025). Transmission and Pathologic Findings of Divergent Human Seasonal H1N1pdm09 Influenza A Viruses Following Spillover Into Pigs in the United States. Influenza and Other Respiratory Viruses. 19(7). e70128–e70128. 1 indexed citations

Thomas, Megan N., Garrett M. Janzen, Alexey Markin, et al.. (2025). Active surveillance for influenza A virus in swine reveals within-farm reassortment and cocirculation of distinct subtypes and genetic clades. Veterinary Microbiology. 309. 110681–110681.

Thomas, Megan N., et al.. (2024). 2018-2019 human seasonal H3N2 influenza A virus spillovers into swine with demonstrated virus transmission in pigs were not sustained in the pig population. Journal of Virology. 98(12). e0008724–e0008724. 1 indexed citations

Zeller, Michael, Megan N. Thomas, Tavis K. Anderson, et al.. (2024). Influenza A Virus Detection at the Human–Swine Interface in US Midwest Swine Farms. Viruses. 16(12). 1921–1921. 2 indexed citations

Thomas, Megan N., C. Joaquín Cáceres, Daniela S. Rajão, et al.. (2024). Nucleoprotein reassortment enhanced transmissibility of H3 1990.4.a clade influenza A virus in swine. Journal of Virology. 98(3). e0170323–e0170323. 7 indexed citations

Thomas, Megan N., Michael Zeller, Bryan S. Kaplan, et al.. (2022). Genetic and Antigenic Characterization of an Expanding H3 Influenza A Virus Clade in U.S. Swine Visualized by Nextstrain. mSphere. 7(3). e0099421–e0099421. 15 indexed citations

Welch, Michael, Karen Krueger, Jianqiang Zhang, et al.. (2022). Characterization of Two Porcine Parainfluenza Virus 1 Isolates and Human Parainfluenza Virus 1 Infection in Weaned Nursery Pigs. Veterinary Sciences. 10(1). 18–18. 3 indexed citations

Hundal, Jasreet, Susanna Kiwala, Joshua F. McMichael, et al.. (2020). pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens. Cancer Immunology Research. 8(3). 409–420. 145 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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