Jacob Lee
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Epidemiology top 2%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
- Herpesvirus Infections and Treatments
Papers in
- Epidemiology 69
- Influenza Virus Research Studies 47
- Respiratory viral infections research 22
- Pneumonia and Respiratory Infections 10
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- SARS-CoV-2 and COVID-19 Research 14
- Co-authors
- Joon Young Song (71 shared papers)Woo Joo Kim (68 shared papers)Hee Jin Cheong (67 shared papers)Yu Bin Seo (62 shared papers)Won Suk Choi (63 shared papers)Ji Yun Noh (49 shared papers)Hye Won Jeong (39 shared papers)Jin Soo Lee (41 shared papers)
- Journals
- Journal of Korean Medical Science (18 papers)Vaccine (12 papers)PLoS ONE (10 papers)Human Vaccines & Immunotherapeutics (8 papers)Clinical and Vaccine Immunology (6 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jacob Lee
158 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 145
- Molecular Medicine 218
- Epidemiology 916
- Modeling and Simulation 131
- Applied Microbiology and Biotechnology 47
- Infectious Diseases 402
Countries citing papers authored by Jacob Lee
This map shows the geographic impact of Jacob 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 Jacob Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Lee more than expected).
Fields of papers citing papers by Jacob Lee
This network shows the impact of papers produced by Jacob 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 Jacob Lee. The network helps show where Jacob Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacob 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
Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 151 | |
| 2 | 2013 | 80 | |
| 3 | 2017 | 79 | |
| 4 | 2009 | 72 | |
| 5 | 2008 | 71 | |
| 6 | 2016 | 64 | |
| 7 | 2013 | 44 | |
| 8 | 2007 | 44 | |
| 9 | 2015 | 42 | |
| 10 | 2013 | 42 | |
| 11 | 2010 | 41 | |
| 12 | 2016 | 39 | |
| 13 | 2014 | 33 | |
| 14 | 2024 | 32 | |
| 15 | 2021 | 32 | |
| 16 | 2011 | 31 | |
| 17 | 2016 | 30 | |
| 18 | 2017 | 29 | |
| 19 | 2018 | 28 | |
| 20 | 2013 | 28 |
About Jacob Lee
Jacob Lee is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Clinical Psychology and Molecular Medicine, having authored 170 papers that have together received 2.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (47 papers), Respiratory viral infections research (22 papers), SARS-CoV-2 and COVID-19 Research (14 papers), COVID-19 epidemiological studies (13 papers), Antibiotic Resistance in Bacteria (10 papers), Child and Adolescent Psychosocial and Emotional Development (10 papers), Pneumonia and Respiratory Infections (10 papers) and Vaccine Coverage and Hesitancy (7 papers). The work is most often cited by research in Molecular Medicine (218 citations), Epidemiology (916 citations), Modeling and Simulation (131 citations), Applied Microbiology and Biotechnology (47 citations) and Infectious Diseases (402 citations). Jacob Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Joon Young Song, Woo Joo Kim, Hee Jin Cheong, Yu Bin Seo, Won Suk Choi, Ji Yun Noh, Hye Won Jeong, Jin Soo Lee, Brooks King‐Casas and Jungmeen Kim‐Spoon. Their work appears in journals such as Journal of Korean Medical Science, Vaccine, PLoS ONE, Human Vaccines & Immunotherapeutics and Clinical and Vaccine Immunology.
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.