David X. Lee
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 3
-
- COVID-19 epidemiological studies 3
- Co-authors
- William B. Messer (7 shared papers)Marcel E. Curlin (5 shared papers)Zoë L. Lyski (5 shared papers)Hans C. Leier (3 shared papers)Fikadu Tafesse (3 shared papers)Savannah K. McBride (3 shared papers)Timothy A. Bates (3 shared papers)Devin Schoen (2 shared papers)
- Journals
- Journal of Clinical Investigation (1 paper)Science Immunology (1 paper)Nature Communications (1 paper)JCI Insight (1 paper)Blood Advances (1 paper)
- Partner nations
- United StatesCuba
In The Last Decade
David X. Lee
7 papers receiving 292 citations
David X. Lee's Hit Papers
Peers
Comparison fields: 5 of 33
- Infectious Diseases 258
- Modeling and Simulation 31
- Health 35
- Animal Science and Zoology 29
- Immunology 38
Countries citing papers authored by David X. Lee
This map shows the geographic impact of David X. 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 David X. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David X. Lee more than expected).
Fields of papers citing papers by David X. Lee
This network shows the impact of papers produced by David X. 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 David X. Lee. The network helps show where David X. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside David X. 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 | Vaccination before or after SARS-CoV-2 infection leads to robust humoral response and antibodies that effectively neutralize variants Hit paper breakdown → | 2022 | 180 |
| 2 | 2021 | 72 | |
| 3 | 2023 | 22 | |
| 4 | 2021 | 11 | |
| 5 | 2024 | 9 | |
| 6 | 2022 | 2 | |
| 7 | 2025 | 1 |
About David X. Lee
David X. Lee is a scholar working on Infectious Diseases, Modeling and Simulation, Genetics, Oncology and Molecular Biology, having authored 7 papers that have together received 297 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (3 papers), COVID-19 epidemiological studies (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Blood properties and coagulation (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Vaccine Coverage and Hesitancy (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Infectious Diseases (258 citations), Modeling and Simulation (31 citations), Health (35 citations), Animal Science and Zoology (29 citations) and Immunology (38 citations). David X. Lee has collaborated with scholars based in United States and Cuba. Frequent co-authors include William B. Messer, Marcel E. Curlin, Zoë L. Lyski, Hans C. Leier, Fikadu Tafesse, Savannah K. McBride, Timothy A. Bates, Devin Schoen, Gaelen Guzman and Joon‐Yong Lee. Their work appears in journals such as Journal of Clinical Investigation, Science Immunology, Nature Communications, JCI Insight and Blood 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.