Katelyn M. Gostic

2.4k total citations · 1 hit paper
20 papers, 949 citations indexed

About

Katelyn M. Gostic is a scholar working on Epidemiology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Katelyn M. Gostic has authored 20 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Modeling and Simulation and 7 papers in Infectious Diseases. Recurrent topics in Katelyn M. Gostic's work include Influenza Virus Research Studies (9 papers), COVID-19 epidemiological studies (8 papers) and Respiratory viral infections research (5 papers). Katelyn M. Gostic is often cited by papers focused on Influenza Virus Research Studies (9 papers), COVID-19 epidemiological studies (8 papers) and Respiratory viral infections research (5 papers). Katelyn M. Gostic collaborates with scholars based in United States, United Kingdom and Switzerland. Katelyn M. Gostic's co-authors include James O. Lloyd‐Smith, Michael Worobey, Monique Ambrose, Adam J. Kucharski, Riley O. Mummah, Ana C. R. Gomez, Cécile Viboud, Shane Brady, John W. McCauley and Trevor Bedford and has published in prestigious journals such as Science, Nature Communications and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Katelyn M. Gostic

18 papers receiving 931 citations

Hit Papers

align trajectories sort by overperformance

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.

Potent protection against H5N1 and H7N9 influenza via childhood hemagglutinin imprinting

2016 314 citations Katelyn M. Gostic, Monique Ambrose et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katelyn M. Gostic United States	11	476	349	285	145	92	20	949
Ryosuke Omori Japan	19	447 0.9×	422 1.2×	258 0.9×	51 0.4×	54 0.6×	75	1.1k
Yuelong Shu China	14	414 0.9×	406 1.2×	88 0.3×	198 1.4×	172 1.9×	69	896
Lars Schaade Germany	21	399 0.8×	552 1.6×	162 0.6×	64 0.4×	226 2.5×	87	1.3k
Marcel Jonges Netherlands	18	709 1.5×	926 2.7×	230 0.8×	147 1.0×	240 2.6×	35	1.6k
Natasha L. Tilston‐Lunel United States	17	502 1.1×	679 1.9×	240 0.8×	46 0.3×	75 0.8×	25	1.1k
Lindsay Czajkowski United States	10	605 1.3×	322 0.9×	78 0.3×	176 1.2×	94 1.0×	15	850
Rani Athota United States	9	579 1.2×	305 0.9×	74 0.3×	165 1.1×	86 0.9×	11	806
Sylvie Behillil France	17	388 0.8×	598 1.7×	173 0.6×	63 0.4×	78 0.8×	27	1.1k
Jennie S. Lavine United States	12	308 0.6×	250 0.7×	206 0.7×	53 0.4×	49 0.5×	14	630
Jin Zhao China	22	474 1.0×	1.1k 3.1×	70 0.2×	115 0.8×	228 2.5×	95	1.7k

Countries citing papers authored by Katelyn M. Gostic

Since Specialization

Citations

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

Fields of papers citing papers by Katelyn M. Gostic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katelyn M. Gostic. 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 Katelyn M. Gostic. The network helps show where Katelyn M. Gostic may publish in the future.

Co-authorship network of co-authors of Katelyn M. Gostic

This figure shows the co-authorship network connecting the top 25 collaborators of Katelyn M. Gostic. A scholar is included among the top collaborators of Katelyn M. Gostic 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 Katelyn M. Gostic. Katelyn M. Gostic 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

Yang, Bingyi, Katelyn M. Gostic, Dillon C. Adam, et al.. (2025). Breadth of influenza A antibody cross-reactivity varies by virus isolation interval and subtype. Nature Microbiology. 10(7). 1711–1722.

Bubar, Kate M., et al.. (2025). A fundamental limit to the effectiveness of traveller screening with molecular tests. Epidemiology and Infection. 153. e95–e95.

Charniga, Kelly, Sang Woo Park, Andrei R. Akhmetzhanov, et al.. (2024). Best practices for estimating and reporting epidemiological delay distributions of infectious diseases. PLoS Computational Biology. 20(10). e1012520–e1012520. 9 indexed citations

Susswein, Zachary, Sarah Connolly, Kelly Carey, et al.. (2024). Detection of Real-Time Changes in Direction of COVID-19 Transmission Using National- and State-Level Epidemic Trends Based on R Estimates — United States Overall and New Mexico, April–October 2024. MMWR Morbidity and Mortality Weekly Report. 73(46). 1058–1063. 1 indexed citations

Gostic, Katelyn M., Soanandrasana Rahelinirina, Olivier Gorgé, et al.. (2023). Population dynamics of plague vector fleas in an endemic focus: implications for plague surveillance. Journal of Medical Entomology. 61(1). 201–211. 6 indexed citations

Tsang, Tim K., Katelyn M. Gostic, Sijie Chen, et al.. (2023). Investigation of the Impact of Childhood Immune Imprinting on Birth Year-Specific Risk of Clinical Infection During Influenza A Virus Epidemics in Hong Kong. The Journal of Infectious Diseases. 228(2). 169–172. 6 indexed citations

Arevalo, Philip, Katelyn M. Gostic, Massimo Pacilli, et al.. (2022). Tracking changes in SARS-CoV-2 transmission with a novel outpatient sentinel surveillance system in Chicago, USA. Nature Communications. 13(1). 5547–5547. 4 indexed citations

Vegvari, Carolin, Sam Abbott, Frank Ball, et al.. (2021). Commentary on the use of the reproduction number R during the COVID-19 pandemic. Statistical Methods in Medical Research. 31(9). 1675–1685. 25 indexed citations

Oidtman, Rachel J., Philip Arevalo, Qifang Bi, et al.. (2021). Influenza immune escape under heterogeneous host immune histories. Trends in Microbiology. 29(12). 1072–1082. 23 indexed citations

10.

Mummah, Riley O., et al.. (2020). Estimating prevalence and test accuracy in disease ecology: How Bayesian latent class analysis can boost or bias imperfect test results. Ecology and Evolution. 10(14). 7221–7232. 13 indexed citations

11.

Gostic, Katelyn M., Ana C. R. Gomez, Riley O. Mummah, Adam J. Kucharski, & James O. Lloyd‐Smith. (2020). Estimated effectiveness of symptom and risk screening to prevent the spread of COVID-19. eLife. 9. 271 indexed citations

12.

Viboud, Cécile, Katelyn M. Gostic, Martha I. Nelson, et al.. (2020). Beyond clinical trials: Evolutionary and epidemiological considerations for development of a universal influenza vaccine. PLoS Pathogens. 16(9). e1008583–e1008583. 21 indexed citations

13.

Abbott, Sam, Joel Hellewell, Katharine Sherratt, et al.. (2020). Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters [R package EpiNow2 version 1.3.2]. 1 indexed citations

14.

Gostic, Katelyn M., et al.. (2019). Childhood immune imprinting to influenza A shapes birth year-specific risk during seasonal H1N1 and H3N2 epidemics. PLoS Pathogens. 15(12). e1008109–e1008109. 83 indexed citations

15.

Gostic, Katelyn M., Elsio A. Wunder, Camila Hamond, et al.. (2019). Supplementary material from "Mechanistic dose–response modelling of animal challenge data shows that intact skin is a crucial barrier to leptospiral infection". Figshare. 1 indexed citations

16.

Gostic, Katelyn M., Elsio A. Wunder, Camila Hamond, et al.. (2019). Mechanistic dose–response modelling of animal challenge data shows that intact skin is a crucial barrier to leptospiral infection. Philosophical Transactions of the Royal Society B Biological Sciences. 374(1782). 20190367–20190367. 16 indexed citations

17.

Morris, Dylan H., Katelyn M. Gostic, Simone Pompei, et al.. (2017). Predictive Modeling of Influenza Shows the Promise of Applied Evolutionary Biology. Trends in Microbiology. 26(2). 102–118. 82 indexed citations

18.

Gostic, Katelyn M., Monique Ambrose, Michael Worobey, & James O. Lloyd‐Smith. (2016). Potent protection against H5N1 and H7N9 influenza via childhood hemagglutinin imprinting. Science. 354(6313). 722–726. 314 indexed citations breakdown →

19.

Gostic, Katelyn M., Adam J. Kucharski, & James O. Lloyd‐Smith. (2015). Effectiveness of traveller screening for emerging pathogens is shaped by epidemiology and natural history of infection. eLife. 4. 40 indexed citations

20.

Buhnerkempe, Michael, et al.. (2015). Mapping influenza transmission in the ferret model to transmission in humans. eLife. 4. 33 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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