Elizabeth C. Lee

36 papers and 639 indexed citations i.

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 36 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Modeling and Simulation, 13 papers in Endocrinology and 12 papers in Epidemiology. Recurrent topics in Elizabeth C. Lee’s work include COVID-19 epidemiological studies (23 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 (23 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 DR Congo. Elizabeth C. Lee's co-authors include Justin Lessler, Shweta Bansal, Emily S. Gurley, Andrew S. Azman, M. Kate Grabowski, Cécile Viboud, Nikolas Wada, William I. Sivitz, Francisco J. Luquero and Scott J. Cameron and has published in prestigious journals such as Science, The Lancet and Nature Medicine.

In The Last Decade

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

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.

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).

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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2025