T. Alex Perkins

7.9k total citations · 2 hit papers
84 papers, 2.6k citations indexed

About

T. Alex Perkins is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, T. Alex Perkins has authored 84 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Public Health, Environmental and Occupational Health, 41 papers in Modeling and Simulation and 34 papers in Infectious Diseases. Recurrent topics in T. Alex Perkins's work include Mosquito-borne diseases and control (55 papers), COVID-19 epidemiological studies (41 papers) and Viral Infections and Vectors (25 papers). T. Alex Perkins is often cited by papers focused on Mosquito-borne diseases and control (55 papers), COVID-19 epidemiological studies (41 papers) and Viral Infections and Vectors (25 papers). T. Alex Perkins collaborates with scholars based in United States, United Kingdom and Peru. T. Alex Perkins's co-authors include Thomas W. Scott, Guido España, Robert C. Reiner, David L. Smith, Amy C. Morrison, Ben L. Phillips, Moritz U. G. Kraemer, Sean Cavany, Nicole L. Achee and Alan Hastings and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

T. Alex Perkins

79 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Critical Assessment of Vector Control for Dengue Prevention

2015 310 citations T. Alex Perkins, Robert C. Reiner et al. PLoS neglected tropical diseases profile →
Aggregated mobility data could help fight COVID-19

2020 279 citations Moritz U. G. Kraemer, T. Alex Perkins et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. Alex Perkins United States	26	1.5k	836	824	278	242	84	2.6k
Steven T. Stoddard United States	22	1.8k 1.3×	787 0.9×	907 1.1×	227 0.8×	194 0.8×	35	2.5k
Eric S. Halsey United States	33	2.4k 1.7×	495 0.6×	1.7k 2.1×	536 1.9×	182 0.8×	102	3.4k
Donal Bisanzio United States	25	1.0k 0.7×	318 0.4×	661 0.8×	244 0.9×	84 0.3×	80	2.2k
Maciej F. Boni United Kingdom	34	1.3k 0.9×	629 0.8×	2.1k 2.5×	1.1k 3.8×	138 0.6×	99	4.8k
Tadeusz J. Kochel United States	42	3.4k 2.3×	791 0.9×	3.0k 3.6×	980 3.5×	261 1.1×	121	5.2k
Colin J. Carlson United States	30	1.6k 1.1×	428 0.5×	1.2k 1.4×	164 0.6×	223 0.9×	98	3.7k
Cláudia Torres Codeço Brazil	37	2.8k 1.9×	1.1k 1.3×	1.2k 1.5×	605 2.2×	385 1.6×	147	4.4k
Shweta Bansal United States	30	942 0.6×	1.5k 1.8×	733 0.9×	763 2.7×	63 0.3×	118	3.9k
Andrea Pugliese Italy	31	1.0k 0.7×	770 0.9×	727 0.9×	491 1.8×	240 1.0×	154	2.7k
Matthew J. Ferrari United States	35	499 0.3×	1.3k 1.6×	828 1.0×	1.4k 5.1×	131 0.5×	112	3.6k

Countries citing papers authored by T. Alex Perkins

Since Specialization

Citations

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

Fields of papers citing papers by T. Alex Perkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Alex Perkins. 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. Alex Perkins. The network helps show where T. Alex Perkins may publish in the future.

Co-authorship network of co-authors of T. Alex Perkins

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tran, Quan Minh & T. Alex Perkins. (2025). Misclassification of yellow fever vaccination status revealed through hierarchical Bayesian modeling. American Journal of Epidemiology. 194(10). 2879–2886.

Dean, Natalie E., et al.. (2025). Predictability of infectious disease outbreak severity: Chikungunya as a case study. Science Advances. 11(40). eadt5419–eadt5419.

Dean, Natalie E., et al.. (2023). Model-based estimates of chikungunya epidemiological parameters and outbreak risk from varied data types. Epidemics. 45. 100721–100721. 5 indexed citations

Cavany, Sean, Guido España, Alun L. Lloyd, et al.. (2023). Fusing an agent-based model of mosquito population dynamics with a statistical reconstruction of spatio-temporal abundance patterns. PLoS Computational Biology. 19(4). e1010424–e1010424. 3 indexed citations

Vazquez‐Prokopec, Gonzalo M., Amy C. Morrison, Valerie A. Paz‐Soldán, et al.. (2023). Inapparent infections shape the transmission heterogeneity of dengue. PNAS Nexus. 2(3). pgad024–pgad024. 9 indexed citations

Cavany, Sean, John H. Huber, Quan Minh Tran, et al.. (2023). Does ignoring transmission dynamics lead to underestimation of the impact of interventions against mosquito-borne disease?. BMJ Global Health. 8(8). e012169–e012169. 7 indexed citations

Cavany, Sean, et al.. (2022). Modeling cellular co-infection and reassortment of bluetongue virus in Culicoides midges. Virus Evolution. 8(2). veac094–veac094. 4 indexed citations

Huber, John H., et al.. (2022). The Impact of Emerging Plasmodium knowlesi on Accurate Diagnosis by Light Microscopy: A Systematic Review and Modeling Analysis. American Journal of Tropical Medicine and Hygiene. 108(1). 61–68. 3 indexed citations

España, Guido, T. Alex Perkins, Simon Pollett, et al.. (2022). Prioritizing interventions for preventing COVID-19 outbreaks in military basic training. PLoS Computational Biology. 18(10). e1010489–e1010489. 3 indexed citations

10.

Bron, Gebbiena M., Anita Lerch, Sean M. Moore, et al.. (2021). Over 100 Years of Rift Valley Fever: A Patchwork of Data on Pathogen Spread and Spillover. Pathogens. 10(6). 708–708. 35 indexed citations

11.

Cavany, Sean, Guido España, Gonzalo M. Vazquez‐Prokopec, Thomas W. Scott, & T. Alex Perkins. (2021). Pandemic-associated mobility restrictions could cause increases in dengue virus transmission. PLoS neglected tropical diseases. 15(8). e0009603–e0009603. 21 indexed citations

12.

Morrison, Amy C., William H. Elson, Helvio Astete, et al.. (2021). The impact of dengue illness on social distancing and caregiving behavior. PLoS neglected tropical diseases. 15(7). e0009614–e0009614. 2 indexed citations

13.

Perkins, T. Alex, John H. Huber, Quan Minh Tran, et al.. (2021). Burden is in the eye of the beholder: Sensitivity of yellow fever disease burden estimates to modeling assumptions. Science Advances. 7(42). eabg5033–eabg5033. 5 indexed citations

14.

Perkins, T. Alex, et al.. (2020). Estimating unobserved SARS-CoV-2 infections in the United States. Proceedings of the National Academy of Sciences. 117(36). 22597–22602. 45 indexed citations

15.

Moore, Sean M., Rachel J. Oidtman, Kenji Soda, et al.. (2020). Leveraging multiple data types to estimate the size of the Zika epidemic in the Americas. PLoS neglected tropical diseases. 14(9). e0008640–e0008640. 22 indexed citations

16.

Kraemer, Moritz U. G., Adam Sadilek, Qian Zhang, et al.. (2020). Mapping global variation in human mobility. Nature Human Behaviour. 4(8). 800–810. 83 indexed citations

17.

Cavany, Sean, Guido España, Alun L. Lloyd, et al.. (2020). Optimizing the deployment of ultra-low volume and targeted indoor residual spraying for dengue outbreak response. PLoS Computational Biology. 16(4). e1007743–e1007743. 23 indexed citations

18.

Perkins, T. Alex, Robert C. Reiner, Guido España, et al.. (2019). An agent-based model of dengue virus transmission shows how uncertainty about breakthrough infections influences vaccination impact projections. PLoS Computational Biology. 15(3). e1006710–e1006710. 20 indexed citations

19.

Kraemer, Moritz U. G., Donal Bisanzio, Robert C. Reiner, et al.. (2018). Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan. EPJ Data Science. 7(1). 16–16. 35 indexed citations

20.

Vazquez‐Prokopec, Gonzalo M., T. Alex Perkins, Lance A. Waller, et al.. (2016). Coupled Heterogeneities and Their Impact on Parasite Transmission and Control. Trends in Parasitology. 32(5). 356–367. 32 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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