Yu E. Lee
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
-
- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Pamela J. Björkman (8 shared papers)Michel C. Nussenzweig (8 shared papers)Christopher O. Barnes (6 shared papers)Anthony P. West (5 shared papers)Claudia A. Jette (2 shared papers)Kathryn E. Huey‐Tubman (3 shared papers)Morgan E. Abernathy (3 shared papers)Harry B. Gristick (3 shared papers)
- Journals
- Immunity (2 papers)Science Translational Medicine (1 paper)Science (1 paper)Cell Reports (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Yu E. Lee
9 papers receiving 1.2k citations
Yu E. Lee's Hit Papers
Peers
Comparison fields: 5 of 70
- Infectious Diseases 1.0k
- Animal Science and Zoology 180
- Virology 69
- Radiology, Nuclear Medicine and Imaging 265
- Immunology 206
Countries citing papers authored by Yu E. Lee
This map shows the geographic impact of Yu E. 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 Yu E. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu E. Lee more than expected).
Fields of papers citing papers by Yu E. Lee
This network shows the impact of papers produced by Yu E. 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 Yu E. Lee. The network helps show where Yu E. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu E. Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | SARS-CoV-2 neutralizing antibody structures inform therapeutic strategies Hit paper breakdown → | 2020 | 832 |
| 2 | Mosaic nanoparticles elicit cross-reactive immune responses to zoonotic coronaviruses in mice Hit paper breakdown → | 2021 | 209 |
| 3 | 2019 | 57 | |
| 4 | 2021 | 45 | |
| 5 | 2022 | 22 | |
| 6 | 2022 | 10 | |
| 7 | 2020 | 5 | |
| 8 | 2021 | 3 | |
| 9 | 2025 | 3 |
About Yu E. Lee
Yu E. Lee is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Virology, Animal Science and Zoology and Immunology, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), HIV Research and Treatment (3 papers), Animal Virus Infections Studies (3 papers), Malaria Research and Control (1 paper), Insect symbiosis and bacterial influences (1 paper), Immune responses and vaccinations (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Infectious Diseases (1.0k citations), Animal Science and Zoology (180 citations), Virology (69 citations), Radiology, Nuclear Medicine and Imaging (265 citations) and Immunology (206 citations). Yu E. Lee has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Pamela J. Björkman, Michel C. Nussenzweig, Christopher O. Barnes, Anthony P. West, Claudia A. Jette, Kathryn E. Huey‐Tubman, Morgan E. Abernathy, Harry B. Gristick, Shannon R. Esswein and Davide F. Robbiani. Their work appears in journals such as Immunity, Science Translational Medicine, Science, Cell Reports and Science Advances.
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.