Jonggul Lee

895 total citations · 1 hit paper
16 papers, 570 citations indexed

About

Jonggul Lee is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Jonggul Lee has authored 16 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Modeling and Simulation, 4 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Jonggul Lee's work include COVID-19 epidemiological studies (10 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Viral Infections and Outbreaks Research (3 papers). Jonggul Lee is often cited by papers focused on COVID-19 epidemiological studies (10 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Viral Infections and Outbreaks Research (3 papers). Jonggul Lee collaborates with scholars based in South Korea, France and United States. Jonggul Lee's co-authors include Eunok Jung, Gerardo Chowell, Hiroshi Nishiura, Sunmi ‍Lee, Cécile Viboud, Fatima Abdirizak, Soyoung Kim, Eugenio Valdano, Shweta Bansal and Vittoria Colizza and has published in prestigious journals such as PLoS ONE, International Journal of Environmental Research and Public Health and Journal of Theoretical Biology.

In The Last Decade

Jonggul Lee

15 papers receiving 559 citations

Hit Papers

Transmission characteristics of MERS and SARS in the heal... 2015 2026 2018 2022 2015 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Transmission characteristics of MERS and SARS in the healthcare setting: a comparative study
    2015 323 citations Gerardo Chowell, Fatima Abdirizak et al. BMC Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonggul Lee South Korea 10 281 278 95 75 72 16 570
Fatima Abdirizak United States 5 173 0.6× 267 1.0× 71 0.7× 50 0.7× 58 0.8× 7 433
Stefanie Hossmann Switzerland 6 316 1.1× 506 1.8× 99 1.0× 99 1.3× 68 0.9× 14 822
Shu-Wan Jian Taiwan 8 327 1.2× 355 1.3× 48 0.5× 107 1.4× 79 1.1× 10 715
Miriam Casey-Bryars Ireland 6 482 1.7× 380 1.4× 62 0.7× 109 1.5× 43 0.6× 8 668
Talía M. Quandelacy United States 8 308 1.1× 471 1.7× 92 1.0× 189 2.5× 114 1.6× 18 816
Kalaiarasu M. Peariasamy Malaysia 16 148 0.5× 383 1.4× 65 0.7× 60 0.8× 28 0.4× 45 719
Pragati Prasad United States 7 261 0.9× 447 1.6× 38 0.4× 136 1.8× 108 1.5× 9 698
Dongxuan Chen Hong Kong 8 528 1.9× 409 1.5× 73 0.8× 173 2.3× 65 0.9× 13 757
Zeyao Zhao China 9 278 1.0× 470 1.7× 44 0.5× 79 1.1× 34 0.5× 15 663
Dillon C. Adam Australia 12 418 1.5× 389 1.4× 58 0.6× 217 2.9× 90 1.3× 39 771

Countries citing papers authored by Jonggul Lee

Since Specialization
Citations

This map shows the geographic impact of Jonggul 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 Jonggul Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonggul Lee more than expected).

Fields of papers citing papers by Jonggul Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonggul 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 Jonggul Lee. The network helps show where Jonggul Lee may publish in the future.

Co-authorship network of co-authors of Jonggul Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jonggul Lee. A scholar is included among the top collaborators of Jonggul Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonggul Lee. Jonggul Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Mendoza, Victoria, Renier Mendoza, Yu Bin Seo, et al.. (2022). Multi-Faceted Analysis of COVID-19 Epidemic in Korea Considering Omicron Variant: Mathematical Modeling-Based Study. Journal of Korean Medical Science. 37(26). e209–e209. 11 indexed citations
2.
Lee, Jonggul, et al.. (2021). Descriptors of atoms and structure information for predicting properties of crystalline materials. Materials Research Express. 8(2). 26302–26302. 4 indexed citations
3.
Valdano, Eugenio, Jonggul Lee, Shweta Bansal, Stefania Rubrichi, & Vittoria Colizza. (2021). Highlighting socio-economic constraints on mobility reductions during COVID-19 restrictions in France can inform effective and equitable pandemic response. Journal of Travel Medicine. 28(4). 26 indexed citations
4.
Lee, Jonggul, et al.. (2021). Mathematical model of STAT signalling pathways in cancer development and optimal control approaches. Royal Society Open Science. 8(9). 210594–210594. 11 indexed citations
5.
Kim, Hyun Woo, Jino Im, Seok Ki Kim, et al.. (2020). Applying Machine Learning Algorithms to Predict Potential Energies and Atomic Forces during C-H Activation. Journal of the Korean Physical Society. 77(8). 680–688. 3 indexed citations
6.
Kim, Soyoung, et al.. (2020). Keeping Low Reproductive Number Despite the Rebound Population Mobility in Korea, a Country Never under Lockdown during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health. 17(24). 9551–9551. 22 indexed citations
7.
8.
Lee, Jonggul, Bo Youl Choi, & Eunok Jung. (2018). Metapopulation model using commuting flow for national spread of the 2009 H1N1 influenza virus in the Republic of Korea. Journal of Theoretical Biology. 454. 320–329. 12 indexed citations
9.
Kim, Soyoung, Jonggul Lee, & Eunok Jung. (2016). Mathematical model of transmission dynamics and optimal control strategies for 2009 A/H1N1 influenza in the Republic of Korea. Journal of Theoretical Biology. 412. 74–85. 46 indexed citations
10.
Lee, Jonggul, et al.. (2016). Continuous and discrete SIR-models with spatial distributions. Journal of Mathematical Biology. 74(7). 1709–1727. 15 indexed citations
11.
Lee, Jonggul, Gerardo Chowell, & Eunok Jung. (2016). A dynamic compartmental model for the Middle East respiratory syndrome outbreak in the Republic of Korea: A retrospective analysis on control interventions and superspreading events. Journal of Theoretical Biology. 408. 118–126. 77 indexed citations
12.
Chowell, Gerardo, Fatima Abdirizak, Sunmi ‍Lee, et al.. (2015). Transmission characteristics of MERS and SARS in the healthcare setting: a comparative study. BMC Medicine. 13(1). 210–210. 323 indexed citations breakdown →
13.
Lee, Jonggul & Eunok Jung. (2015). A spatial–temporal transmission model and early intervention policies of 2009 A/H1N1 influenza in South Korea. Journal of Theoretical Biology. 380. 60–73. 5 indexed citations
14.
Jung, Eunok, et al.. (2015). MULTIDIMENSIONAL OPEN SYSTEM FOR VALVELESS PUMPING. Bulletin of the Korean Mathematical Society. 52(6). 1973–2000. 1 indexed citations
15.
Choi, Sunhwa, Jonggul Lee, & Eunok Jung. (2014). OPTIMAL STRATEGIES FOR PREVENTION OF ECSTASY USE. Journal of the Korea Society for Industrial and Applied Mathematics. 18(1). 1–15. 3 indexed citations
16.
Lee, Jonggul, Eunok Jung, & Dowan Kim. (2010). An Open Tank System of Valveless Pumping. 5(2). 197–198.

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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