Eva K. Lee
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Virology top 5%
Papers in
-
- COVID-19 epidemiological studies 9
- Co-authors
- Helder I. NakayaBali PulendranRafi AhmedAlan AderemIan CrockerTim FoxMarco ZaiderMark J. Mulligan
- Journals
- INFORMS Journal on Applied Analytics (10 papers)Annals of Operations Research (9 papers)International Journal of Radiation Oncology*Biology*Physics (6 papers)INFORMS journal on computing (4 papers)Human Vaccines & Immunotherapeutics (2 papers)
- Partner nations
- United StatesBrazilItaly
In The Last Decade
Eva K. Lee
84 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Immunology 1.1k
- Virology 209
- Infectious Diseases 777
- Radiation 355
- Emergency Medical Services 220
Countries citing papers authored by Eva K. Lee
This map shows the geographic impact of Eva K. 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 Eva K. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva K. Lee more than expected).
Fields of papers citing papers by Eva K. Lee
This network shows the impact of papers produced by Eva K. 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 Eva K. Lee. The network helps show where Eva K. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva K. 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 | 2020 | 0 | |
| 2 | 2016 | 25 | |
| 3 | 2016 | 2 | |
| 4 | 2015 | 211 | |
| 5 | 2013 | 87 | |
| 6 | BIOSPIDA: A Relational Database Translator for NCBI. | 2010 | 3 |
| 7 | 2010 | 46 | |
| 8 | 2009 | 81 | |
| 9 | 2009 | 38 | |
| 10 | 2008 | 51 | |
| 11 | Systems biology approach predicts immunogenicity of the yellow fever vaccine in humans Hit paper breakdown → | 2008 | 809 |
| 12 | 2007 | 11 | |
| 13 | 2007 | 47 | |
| 14 | 2006 | 71 | |
| 15 | 2003 | 27 | |
| 16 | 2001 | 16 | |
| 17 | 2000 | 48 | |
| 18 | 2000 | 100 | |
| 19 | 2000 | 19 | |
| 20 | 1999 | 52 |
About Eva K. Lee
Eva K. Lee is a scholar working on Modeling and Simulation, Health Information Management, Emergency Medical Services, Radiation and Medical Laboratory Technology, having authored 90 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (11 papers), COVID-19 epidemiological studies (9 papers), Influenza Virus Research Studies (6 papers), Healthcare Operations and Scheduling Optimization (6 papers), Biomedical Text Mining and Ontologies (6 papers), Healthcare Policy and Management (6 papers), Emergency and Acute Care Studies (5 papers) and Optimization and Packing Problems (5 papers). The work is most often cited by research in Immunology (1.1k citations), Virology (209 citations), Infectious Diseases (777 citations), Radiation (355 citations) and Emergency Medical Services (220 citations). Eva K. Lee has collaborated with scholars based in United States, Brazil and Italy. Frequent co-authors include Helder I. Nakaya, Bali Pulendran, Rafi Ahmed, Alan Aderem, Ian Crocker, Tim Fox, Marco Zaider, Mark J. Mulligan, Troy D. Querec and Aneesh K. Mehta. Their work appears in journals such as INFORMS Journal on Applied Analytics, Annals of Operations Research, International Journal of Radiation Oncology*Biology*Physics, INFORMS journal on computing and Human Vaccines & Immunotherapeutics.
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.