Natalie E. Dean

9.1k total citations · 4 hit papers
62 papers, 3.3k citations indexed

About

Natalie E. Dean is a scholar working on Infectious Diseases, Modeling and Simulation and Health. According to data from OpenAlex, Natalie E. Dean has authored 62 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Infectious Diseases, 31 papers in Modeling and Simulation and 13 papers in Health. Recurrent topics in Natalie E. Dean's work include COVID-19 epidemiological studies (31 papers), SARS-CoV-2 and COVID-19 Research (23 papers) and Viral Infections and Outbreaks Research (14 papers). Natalie E. Dean is often cited by papers focused on COVID-19 epidemiological studies (31 papers), SARS-CoV-2 and COVID-19 Research (23 papers) and Viral Infections and Outbreaks Research (14 papers). Natalie E. Dean collaborates with scholars based in United States, United Kingdom and Italy. Natalie E. Dean's co-authors include Ira M. Longini, M. Elizabeth Halloran, Zachary J. Madewell, Yang Yang, Marc Lipsitch, Alessandro Vespignani, Ana Pastore y Piontti, Matteo Chinazzi, Stefano Merler and Marco Ajelli and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Natalie E. Dean

58 papers receiving 3.3k 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.

Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19

2020 519 citations Ana Pastore y Piontti, Marco Ajelli et al. profile →
The changing epidemiology of SARS-CoV-2

2022 177 citations Katia Koelle, Michael A. Martin et al. Science profile →
Household transmission of SARS-CoV-2 and risk factors for susceptibility and infectivity in Wuhan: a retrospective observational study

2021 154 citations Li-Qun Fang, Natalie E. Dean et al. The Lancet Infectious Diseases profile →
Household Secondary Attack Rates of SARS-CoV-2 by Variant and Vaccination Status

2022 123 citations Zachary J. Madewell, Yang Yang et al. JAMA Network Open profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Natalie E. Dean United States	27	1.7k	1.7k	602	520	477	62	3.3k
Rosalind M. Eggo United Kingdom	26	1.6k 0.9×	1.5k 0.8×	766 1.3×	386 0.7×	577 1.2×	83	3.2k
Stephen M. Kissler United States	16	1.6k 0.9×	1.2k 0.7×	503 0.8×	366 0.7×	271 0.6×	31	3.1k
Meagan C. Fitzpatrick United States	26	1.1k 0.6×	1.5k 0.8×	606 1.0×	475 0.9×	346 0.7×	66	2.9k
Matthew Biggerstaff United States	30	1.6k 0.9×	1.4k 0.8×	1.6k 2.7×	340 0.7×	351 0.7×	81	4.0k
Ashleigh R. Tuite Canada	29	1.3k 0.8×	1.2k 0.7×	990 1.6×	277 0.5×	498 1.0×	124	3.3k
Christian L. Althaus Switzerland	30	1.3k 0.7×	1.4k 0.8×	621 1.0×	191 0.4×	532 1.1×	80	3.5k
Jessica Y. Wong Hong Kong	24	1.2k 0.7×	1.2k 0.7×	732 1.2×	309 0.6×	188 0.4×	72	3.0k
Calvin J. Chiew Singapore	22	1.1k 0.6×	1.7k 1.0×	435 0.7×	332 0.6×	193 0.4×	60	3.3k
Seyed M. Moghadas Canada	34	2.7k 1.6×	1.7k 1.0×	1.2k 2.0×	549 1.1×	1.2k 2.6×	157	4.7k
Vernon J. Lee Singapore	34	1.6k 0.9×	2.5k 1.5×	1.1k 1.8×	420 0.8×	1.1k 2.2×	93	5.1k

Countries citing papers authored by Natalie E. Dean

Since Specialization

Citations

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

Fields of papers citing papers by Natalie E. Dean

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie E. Dean. 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 Natalie E. Dean. The network helps show where Natalie E. Dean may publish in the future.

Co-authorship network of co-authors of Natalie E. Dean

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie E. Dean. A scholar is included among the top collaborators of Natalie E. Dean 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 Natalie E. Dean. Natalie E. Dean 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

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

Moore, Sean M., et al.. (2025). Estimation of Lassa fever incidence rates in West Africa: Development of a modeling framework to inform vaccine trial design. PLoS neglected tropical diseases. 19(7). e0012751–e0012751. 1 indexed citations

Amin, Avnika B., Matt D. T. Hitchings, Otávio T. Ranzani, et al.. (2024). Severity-dependent test-seeking behaviors and test-negative designs: impact on estimated vaccine effectiveness and utility of analytic and design choices. American Journal of Epidemiology. 194(7). 1855–1862.

Wang, Rui, Yunda Huang, Natalie E. Dean, et al.. (2024). Methods for the estimation of direct and indirect vaccination effects by combining data from individual‐ and cluster‐randomized trials. Statistics in Medicine. 43(8). 1627–1639. 1 indexed citations

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

Gozzi, Nicolò, Matteo Chinazzi, Natalie E. Dean, et al.. (2023). Estimating the impact of COVID-19 vaccine inequities: a modeling study. Nature Communications. 14(1). 3272–3272. 51 indexed citations

Koelle, Katia, Michael A. Martin, Rustom Antia, Ben Lopman, & Natalie E. Dean. (2022). The changing epidemiology of SARS-CoV-2. Science. 375(6585). 1116–1121. 177 indexed citations breakdown →

Lind, Margaret L., Alexander J. Robertson, Julio Silva, et al.. (2022). Association between primary or booster COVID-19 mRNA vaccination and Omicron lineage BA.1 SARS-CoV-2 infection in people with a prior SARS-CoV-2 infection: A test-negative case–control analysis. PLoS Medicine. 19(12). e1004136–e1004136. 11 indexed citations

Ranzani, Otávio T., Matt D. T. Hitchings, Rosana Leite de Melo, et al.. (2022). Effectiveness of an inactivated Covid-19 vaccine with homologous and heterologous boosters against Omicron in Brazil. Nature Communications. 13(1). 5536–5536. 67 indexed citations

10.

Madewell, Zachary J., Yang Yang, Ira M. Longini, M. Elizabeth Halloran, & Natalie E. Dean. (2022). Household Secondary Attack Rates of SARS-CoV-2 by Variant and Vaccination Status. JAMA Network Open. 5(4). e229317–e229317. 123 indexed citations breakdown →

11.

Dean, Ethan W., Natalie E. Dean, Thomas W. Wright, et al.. (2022). Clinical outcomes related to glenosphere overhang in reverse shoulder arthroplasty using a lateralized humeral design. Journal of Shoulder and Elbow Surgery. 31(10). 2106–2115. 6 indexed citations

12.

Hitchings, Matt D. T., Natalie E. Dean, Bernardo García‐Carreras, et al.. (2021). The Usefulness of the Test-Positive Proportion of Severe Acute Respiratory Syndrome Coronavirus 2 as a Surveillance Tool. American Journal of Epidemiology. 190(7). 1396–1405. 9 indexed citations

13.

Madewell, Zachary J., Ana Pastore y Piontti, Qian Zhang, et al.. (2021). Using simulated infectious disease outbreaks to inform site selection and sample size for individually randomized vaccine trials during an ongoing epidemic. Clinical Trials. 18(5). 630–638. 2 indexed citations

14.

Manrique‐Saide, Pablo, Natalie E. Dean, M. Elizabeth Halloran, et al.. (2020). The TIRS trial: protocol for a cluster randomized controlled trial assessing the efficacy of preventive targeted indoor residual spraying to reduce Aedes-borne viral illnesses in Merida, Mexico. Trials. 21(1). 839–839. 20 indexed citations

15.

Fang, Li-Qun, Jun Yuan, Natalie E. Dean, et al.. (2020). Household secondary attack rate of COVID-19 and associated determinants in Guangzhou, China: a retrospective cohort study. The Lancet Infectious Diseases. 20(10). 1141–1150. 301 indexed citations

16.

Cardel, Michelle I., Natalie E. Dean, & Diana Montoya‐Williams. (2020). Preventing a Secondary Epidemic of Lost Early Career Scientists. Effects of COVID-19 Pandemic on Women with Children. Annals of the American Thoracic Society. 17(11). 1366–1370. 93 indexed citations

17.

Dean, Natalie E., Ron Brookmeyer, Victor De Gruttola, et al.. (2019). Design of vaccine efficacy trials during public health emergencies. Science Translational Medicine. 11(499). 41 indexed citations

18.

Merler, Stefano, Marco Ajelli, Laura Fumanelli, et al.. (2016). Containing Ebola at the Source with Ring Vaccination. PLoS neglected tropical diseases. 10(11). e0005093–e0005093. 47 indexed citations

19.

Ajelli, Marco, Stefano Merler, Laura Fumanelli, et al.. (2016). Spatiotemporal dynamics of the Ebola epidemic in Guinea and implications for vaccination and disease elimination: a computational modeling analysis. BMC Medicine. 14(1). 130–130. 26 indexed citations

20.

Zarkin, Gary A., Natalie E. Dean, Josephine Mauskopf, & Richard A. Williams. (1993). Potential health benefits of nutrition label changes.. American Journal of Public Health. 83(5). 717–724. 67 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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