James A. Hay

5.3k total citations · 1 hit paper
28 papers, 1.0k citations indexed

About

James A. Hay is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases. According to data from OpenAlex, James A. Hay has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Modeling and Simulation, 12 papers in Epidemiology and 11 papers in Infectious Diseases. Recurrent topics in James A. Hay's work include COVID-19 epidemiological studies (15 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Influenza Virus Research Studies (8 papers). James A. Hay is often cited by papers focused on COVID-19 epidemiological studies (15 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Influenza Virus Research Studies (8 papers). James A. Hay collaborates with scholars based in United States, United Kingdom and Gambia. James A. Hay's co-authors include Michael J. Mina, James M. Burke, Evan Lester, Roy Parker, Daniel B. Larremore, Soraya I. Shehata, Bryan Wilder, Milind Tambe, Marc Lipsitch and Stacey Gabriel and has published in prestigious journals such as Science, Nature Communications and PLoS Biology.

In The Last Decade

James A. Hay

28 papers receiving 985 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.

Test sensitivity is secondary to frequency and turnaround time for COVID-19 screening

2021 565 citations Daniel B. Larremore, Bryan Wilder et al. Science Advances profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James A. Hay United States	13	762	352	268	191	156	28	1.0k
Anthony Chin‐Ki Ng Hong Kong	9	1.1k 1.4×	156 0.4×	241 0.9×	89 0.5×	182 1.2×	11	1.3k
Bingyi Yang Hong Kong	16	1.0k 1.3×	295 0.8×	47 0.2×	181 0.9×	97 0.6×	51	1.4k
Felicity Chandler Netherlands	7	1.1k 1.5×	106 0.3×	149 0.6×	76 0.4×	116 0.7×	17	1.2k
Philip Meade United States	11	1.2k 1.5×	151 0.4×	74 0.3×	373 2.0×	162 1.0×	23	1.5k
Marie Luisa Schmidt Germany	10	592 0.8×	120 0.3×	190 0.7×	107 0.6×	127 0.8×	16	704
Barbara Mühlemann Germany	7	514 0.7×	112 0.3×	192 0.7×	87 0.5×	112 0.7×	19	630
Severino Jefferson Ribeiro da Silva Brazil	13	313 0.4×	66 0.2×	152 0.6×	92 0.5×	169 1.1×	23	612
Carl Boodman Canada	8	711 0.9×	90 0.3×	169 0.6×	118 0.6×	87 0.6×	44	905
Angkana T. Huang United States	10	817 1.1×	191 0.5×	46 0.2×	83 0.4×	61 0.4×	22	986
Olha Puhach Switzerland	8	464 0.6×	112 0.3×	71 0.3×	119 0.6×	71 0.5×	9	592

Countries citing papers authored by James A. Hay

Since Specialization

Citations

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

Fields of papers citing papers by James A. Hay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Hay. 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 James A. Hay. The network helps show where James A. Hay may publish in the future.

Co-authorship network of co-authors of James A. Hay

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

All Works

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20 of 20 papers shown

Hodgson, David, et al.. (2025). serojump: A Bayesian tool for inferring infection timing and antibody kinetics from longitudinal serological data. PLoS Computational Biology. 21(9). e1013467–e1013467. 1 indexed citations

Hay, James A., Isobel Routledge, & Saki Takahashi. (2024). Serodynamics: A primer and synthetic review of methods for epidemiological inference using serological data. Epidemics. 49. 100806–100806. 6 indexed citations

Bajaj, Sumali, Joseph L.-H. Tsui, George Nicholson, et al.. (2024). COVID-19 testing and reporting behaviours in England across different sociodemographic groups: a population-based study using testing data and data from community prevalence surveillance surveys. The Lancet Digital Health. 6(11). e778–e790. 5 indexed citations

Hay, James A., Chao Qiang Jiang, Kin On Kwok, et al.. (2024). Reconstructed influenza A/H3N2 infection histories reveal variation in incidence and antibody dynamics over the life course. PLoS Biology. 22(11). e3002864–e3002864. 3 indexed citations

Kissler, Stephen M., James A. Hay, Joseph R. Fauver, et al.. (2023). Viral kinetics of sequential SARS-CoV-2 infections. Nature Communications. 14(1). 6206–6206. 12 indexed citations

Takahashi, Saki, et al.. (2023). serosim: An R package for simulating serological data arising from vaccination, epidemiological and antibody kinetics processes. PLoS Computational Biology. 19(8). e1011384–e1011384. 7 indexed citations

Hay, James A., Isobel Routledge, & Saki Takahashi. (2023). Serodynamics: a review of methods for epidemiological inference using serological data. OSF Preprints (OSF Preprints). 6 indexed citations

Salazar, Pablo M. De, Fred Lu, James A. Hay, et al.. (2022). Near real-time surveillance of the SARS-CoV-2 epidemic with incomplete data. PLoS Computational Biology. 18(3). e1009964–e1009964. 11 indexed citations

Yang, Bingyi, Bernardo García‐Carreras, Justin Lessler, et al.. (2022). Long term intrinsic cycling in human life course antibody responses to influenza A(H3N2): an observational and modeling study. eLife. 11. 6 indexed citations

10.

Chin, Taylor, James A. Hay, Pablo M. De Salazar, et al.. (2021). Estimating internationally imported cases during the early COVID-19 pandemic. Nature Communications. 12(1). 311–311. 27 indexed citations

11.

Cleary, Brian, James A. Hay, Brendan Blumenstiel, et al.. (2021). Using viral load and epidemic dynamics to optimize pooled testing in resource-constrained settings. Science Translational Medicine. 13(589). 30 indexed citations

12.

Hay, James A.. (2021). jameshay218/lazymcmc: virosolver paper release. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

13.

Larremore, Daniel B., Bryan Wilder, Evan Lester, et al.. (2021). Test sensitivity is secondary to frequency and turnaround time for COVID-19 screening. Science Advances. 7(1). 565 indexed citations breakdown →

14.

Hay, James A. & Lee Kennedy‐Shaffer. (2021). jameshay218/virosolver: Publication release. Figshare. 1 indexed citations

15.

Hay, James A., David Haw, William P. Hanage, C. Jessica E. Metcalf, & Michael Mina. (2020). Implications of the Age Profile of the Novel Coronavirus. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 3 indexed citations

16.

Yang, Bingyi, Justin Lessler, Huachen Zhu, et al.. (2020). Life course exposures continually shape antibody profiles and risk of seroconversion to influenza. PLoS Pathogens. 16(7). e1008635–e1008635. 13 indexed citations

17.

Hay, James A., Amanda Minter, Kylie E. C. Ainslie, et al.. (2020). An open source tool to infer epidemiological and immunological dynamics from serological data: serosolver. PLoS Computational Biology. 16(5). e1007840–e1007840. 16 indexed citations

18.

Hay, James A., Karen Laurie, Michael White, & Steven Riley. (2019). Characterising antibody kinetics from multiple influenza infection and vaccination events in ferrets. PLoS Computational Biology. 15(8). e1007294–e1007294. 13 indexed citations

19.

Hay, James A., Pierre Nouvellet, Christl A. Donnelly, & Steven Riley. (2018). Potential inconsistencies in Zika surveillance data and our understanding of risk during pregnancy. PLoS neglected tropical diseases. 12(12). e0006991–e0006991. 13 indexed citations

20.

Hay, James A.. (1982). A study of principled moral reasoning within a sample of conscientious objectors. Medical Entomology and Zoology. 6 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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