Jacob Lee

3.9k citations
167 papers · 2.2k · h-index 25

Impact in

Papers in

    • Influenza Virus Research Studies 51
    • Respiratory viral infections research 45
    • Pneumonia and Respiratory Infections 15
    • SARS-CoV-2 and COVID-19 Research 22

Jacob Lee

155 papers receiving 2.1k citations

Peers

Jacob Lee
Comparison fields: 5 of 150
  • Molecular Medicine 238
  • Modeling and Simulation 167
  • Applied Microbiology and Biotechnology 67
  • Epidemiology 1.0k
  • Infectious Diseases 531
Replace Emily P. Hyle with:
Emily P. Hyle United States
Luis Furuya‐Kanamori Australia
Jin Young Ahn South Korea
Eric Chamot United States
Minn Soe United States
Byung Chul Chun South Korea
Motasim Badri South Africa
Sara Y. Tartof United States
Piotr Kramarz Sweden
Ali M. Somily Saudi Arabia
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Citations per field
00.5×1.6×
Emily P. Hyle · 1×
Citations per year

Countries citing papers authored by Jacob Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jacob Lee Line = papers co-authored together Jacob Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015145
2 201777
3 201376
4 200868
5 200967
6 201662
7 201343
8 201342
9 200741
10 201541
11 201638
12 201037
13 201131
14 201431
15 202130
16 201729
17 201828
18 201727
19 201627
20 201327

About Jacob Lee

Jacob Lee is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Clinical Psychology and Molecular Medicine, having authored 167 papers that have together received 2.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (51 papers), Respiratory viral infections research (45 papers), SARS-CoV-2 and COVID-19 Research (22 papers), COVID-19 epidemiological studies (18 papers), Pneumonia and Respiratory Infections (15 papers), Antibiotic Resistance in Bacteria (14 papers), Child and Adolescent Psychosocial and Emotional Development (10 papers) and Animal Disease Management and Epidemiology (9 papers). The work is most often cited by research in Molecular Medicine (238 citations), Modeling and Simulation (167 citations), Applied Microbiology and Biotechnology (67 citations), Epidemiology (1.0k citations) and Infectious Diseases (531 citations). Jacob Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Woo Joo Kim, Joon Young Song, Hee Jin Cheong, Yu Bin Seo, Won Suk Choi, Hye Won Jeong, Ji Yun Noh, Jin Soo Lee, Jungmeen Kim‐Spoon and Brooks King‐Casas. 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.

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