Elizabeth C. Lee
- Modeling and Simulation top 1%
- Endocrinology top 2%
- Epidemiology
- Infectious Diseases top 10%
- Nutrition and Dietetics
- Co-authors
- Justin LesslerEmily S. GurleyAndrew S. AzmanShweta BansalCécile ViboudNikolas WadaM. Kate GrabowskiFrancisco J. Luquero
- Topics
- COVID-19 epidemiological studies (22 papers)Vibrio bacteria research studies (13 papers)Influenza Virus Research Studies (10 papers)
- Journals
- ScienceThe LancetNature Medicine
- Partner nations
- United StatesSwitzerlandDemocratic Republic of the Congo
In The Last Decade
Elizabeth C. Lee
38 papers receiving 661 citations
Peers
Comparison fields: 5 of 114
- Modeling and Simulation 314
- Endocrinology 205
- Epidemiology 146
- Infectious Diseases 131
- Nutrition and Dietetics 74
Countries citing papers authored by Elizabeth C. Lee
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 22 | |
| 9 | 13 | |
| 10 | 26 | |
| 11 | 31 | |
| 12 | 4 | |
| 13 | 30 | |
| 14 | 19 | |
| 15 | 127 | |
| 16 | 21 | |
| 17 | 34 | |
| 18 | 9 | |
| 19 | Methicillin-resistant Staphylococcus aureus: The Deadly Superbug | 1 |
| 20 | 12 |
About Elizabeth C. Lee
Elizabeth C. Lee is a scholar working on Modeling and Simulation, Endocrinology and Applied Microbiology and Biotechnology, having authored 40 papers that have together received 677 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (22 papers), Vibrio bacteria research studies (13 papers) and Influenza Virus Research Studies (10 papers). The work is most often cited by research in Modeling and Simulation (314 citations), Endocrinology (205 citations) and Infectious Diseases (131 citations). Elizabeth C. Lee has collaborated with scholars based in United States, Switzerland and Democratic Republic of the Congo. Frequent co-authors include Justin Lessler, Emily S. Gurley, Andrew S. Azman, Shweta Bansal, Cécile Viboud, Nikolas Wada, M. Kate Grabowski, Francisco J. Luquero, William I. Sivitz and Scott J. Cameron. Their work appears in journals such as Science, The Lancet and Nature Medicine.
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.