Elizabeth C. Lee

3.2k total citations
40 papers, 677 citations indexed

About

Elizabeth C. Lee is a scholar working on Modeling and Simulation, Endocrinology and Epidemiology. According to data from OpenAlex, Elizabeth C. Lee has authored 40 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Modeling and Simulation, 13 papers in Endocrinology and 11 papers in Epidemiology. Recurrent topics in Elizabeth C. Lee's work include COVID-19 epidemiological studies (22 papers), Vibrio bacteria research studies (13 papers) and Influenza Virus Research Studies (10 papers). Elizabeth C. Lee is often cited by papers focused on COVID-19 epidemiological studies (22 papers), Vibrio bacteria research studies (13 papers) and Influenza Virus Research Studies (10 papers). Elizabeth C. Lee collaborates with scholars based in United States, Switzerland and Democratic Republic of the Congo. Elizabeth C. Lee's co-authors include Justin Lessler, Emily S. Gurley, Andrew S. Azman, Shweta Bansal, Cécile Viboud, M. Kate Grabowski, Nikolas Wada, Francisco J. Luquero, Scott J. Cameron and William I. Sivitz and has published in prestigious journals such as Science, The Lancet and Nature Medicine.

In The Last Decade

Elizabeth C. Lee

38 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elizabeth C. Lee United States 16 314 205 146 131 74 40 677
Flavio Finger Switzerland 14 226 0.7× 249 1.2× 109 0.7× 80 0.6× 85 1.1× 24 500
Marjorie Pollack United States 8 94 0.3× 90 0.4× 169 1.2× 120 0.9× 44 0.6× 12 465
Martin Mengel France 15 255 0.8× 576 2.8× 301 2.1× 105 0.8× 210 2.8× 31 953
Md Taufiqul Islam Bangladesh 12 65 0.2× 238 1.2× 77 0.5× 88 0.7× 91 1.2× 59 417
Christopher Troeger United States 11 83 0.3× 89 0.4× 62 0.4× 240 1.8× 114 1.5× 17 458
Ahmed Khatib Tanzania 14 113 0.4× 287 1.4× 243 1.7× 196 1.5× 89 1.2× 19 623
Sandra Moore France 10 136 0.4× 190 0.9× 90 0.6× 30 0.2× 47 0.6× 17 436
Fred Lwilla Tanzania 14 40 0.1× 134 0.7× 310 2.1× 405 3.1× 79 1.1× 21 806
Emily MacDonald Norway 12 67 0.2× 90 0.4× 33 0.2× 193 1.5× 50 0.7× 29 500
Peter Maes Belgium 15 71 0.2× 141 0.7× 40 0.3× 91 0.7× 113 1.5× 30 525

Countries citing papers authored by Elizabeth C. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth C. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth C. Lee. 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 Elizabeth C. Lee. The network helps show where Elizabeth C. Lee may publish in the future.

Co-authorship network of co-authors of Elizabeth C. Lee

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

All Works

20 of 20 papers shown
1.
Tiffany, Amanda, Francisco J. Luquero, Suman Kanungo, et al.. (2025). Protection from killed whole-cell cholera vaccines: a systematic review and meta-analysis. The Lancet Global Health. 13(7). e1203–e1212. 1 indexed citations
2.
Zile, Michael R., William T. Abraham, JoAnn Lindenfeld, et al.. (2025). Mechanistic Basis for Differential Effects of Interatrial Shunt Treatment in HFrEF vs HFpEF. JACC. Cardiovascular imaging. 19(1). 1–15.
3.
4.
Dent, Juan, Kirsten E. Wiens, Espoir Bwenge Malembaka, et al.. (2024). Enhanced cholera surveillance to improve vaccination campaign efficiency. Nature Medicine. 30(4). 1104–1110. 5 indexed citations
5.
Wiens, Kirsten E., John Mwaba, Justin Lessler, et al.. (2023). Estimating the proportion of clinically suspected cholera cases that are true Vibrio cholerae infections: A systematic review and meta-analysis. PLoS Medicine. 20(9). e1004286–e1004286. 8 indexed citations
6.
Boru, Waqo, Shaoming Xiao, Patrick Amoth, et al.. (2023). Prioritizing interventions for cholera control in Kenya, 2015–2020. PLoS neglected tropical diseases. 17(5). e0010928–e0010928. 5 indexed citations
7.
Wohl, Shirlee, Elizabeth C. Lee, Bethany L. DiPrete, & Justin Lessler. (2023). Sample size calculations for pathogen variant surveillance in the presence of biological and systematic biases. Cell Reports Medicine. 4(5). 101022–101022. 10 indexed citations
8.
Perez‐Saez, Javier, Justin Lessler, Elizabeth C. Lee, et al.. (2022). The seasonality of cholera in sub-Saharan Africa: a statistical modelling study. The Lancet Global Health. 10(6). e831–e839. 26 indexed citations
9.
Nixon, Kristen, et al.. (2022). An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation. The Lancet Digital Health. 4(10). e738–e747. 22 indexed citations
10.
Nixon, Kristen, Maximilian Marshall, Nicholas G Reich, et al.. (2022). Real-time COVID-19 forecasting: challenges and opportunities of model performance and translation. The Lancet Digital Health. 4(10). e699–e701. 13 indexed citations
11.
Hegde, Sonia T., Elizabeth C. Lee, Ashraful Islam Khan, et al.. (2021). Clinical Cholera Surveillance Sensitivity in Bangladesh and Implications for Large-Scale Disease Control. The Journal of Infectious Diseases. 224(Supplement_7). S725–S731. 4 indexed citations
12.
Meredith, Hannah R., Kyra H. Grantz, Richard Nelson, et al.. (2021). Coordinated Strategy for a Model-Based Decision Support Tool for Coronavirus Disease, Utah, USA. Emerging infectious diseases. 27(5). 1259–1265. 6 indexed citations
13.
Grantz, Kyra H., Elizabeth C. Lee, Lucy D’Agostino McGowan, et al.. (2021). Maximizing and evaluating the impact of test-trace-isolate programs: A modeling study. PLoS Medicine. 18(4). e1003585–e1003585. 30 indexed citations
14.
Lee, Elizabeth C., et al.. (2018). Deploying digital health data to optimize influenza surveillance at national and local scales. PLoS Computational Biology. 14(3). e1006020–e1006020. 19 indexed citations
15.
Lee, Elizabeth C. & Scott J. Cameron. (2017). Cancer and Thrombotic Risk: The Platelet Paradigm. Frontiers in Cardiovascular Medicine. 4. 67–67. 21 indexed citations
16.
Lee, Elizabeth C., et al.. (2016). Contact, travel, and transmission: The impact of winter holidays on influenza dynamics in the United States. The Journal of Infectious Diseases. 215(5). jiw642–jiw642. 34 indexed citations
17.
Clay, Ryan, et al.. (2016). Teaching the internist to see: effectiveness of a 1-day workshop in bedside ultrasound for internal medicine residents. Critical Ultrasound Journal. 8(1). 11–11. 27 indexed citations
18.
Lee, Elizabeth C., Cécile Viboud, Lone Simonsen, Farid Khan, & Shweta Bansal. (2015). Detecting signals of seasonal influenza severity through age dynamics. BMC Infectious Diseases. 15(1). 587–587. 9 indexed citations
19.
Lee, Elizabeth C.. (2010). Methicillin-resistant Staphylococcus aureus: The Deadly Superbug. Biochemistry and Molecular Biology Education. 20(6). 1 indexed citations
20.

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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