Elizabeth C. Lee

121 total papers · 3.1k total citations
40 papers, 664 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 664 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, William I. Sivitz and Scott J. Cameron and has published in prestigious journals such as Science, The Lancet and Nature Medicine.

In The Last Decade

Elizabeth C. Lee

38 papers receiving 650 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Elizabeth C. Lee 309 200 142 131 73 40 664
Godfrey Bwire 190 0.6× 385 1.9× 74 0.5× 187 1.4× 131 1.8× 37 791
Amanda K. Debes 132 0.4× 276 1.4× 89 0.6× 171 1.3× 53 0.7× 31 566
Didier Bompangue 226 0.7× 415 2.1× 159 1.1× 73 0.6× 83 1.1× 43 644
Iqbal Ansary Khan 124 0.4× 268 1.3× 148 1.0× 112 0.9× 30 0.4× 27 592
Atek Kagirita 106 0.3× 235 1.2× 52 0.4× 250 1.9× 128 1.8× 23 608
Rita Reyburn 113 0.4× 298 1.5× 340 2.4× 100 0.8× 50 0.7× 36 693
Nirod Chandra Saha 79 0.3× 168 0.8× 118 0.8× 108 0.8× 33 0.5× 29 554
Hilary E. Tillett 57 0.2× 107 0.5× 242 1.7× 203 1.5× 45 0.6× 44 780
Ahmed Khatib 113 0.4× 287 1.4× 243 1.7× 196 1.5× 42 0.6× 19 623
Francesco Grandesso 92 0.3× 169 0.8× 62 0.4× 152 1.2× 484 6.6× 29 772

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

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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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