Yiseul Lee

1.4k total citations · 1 hit paper
6 papers, 804 citations indexed

About

Yiseul Lee is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Yiseul Lee has authored 6 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Modeling and Simulation, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Economics and Econometrics. Recurrent topics in Yiseul Lee's work include COVID-19 epidemiological studies (6 papers), COVID-19 Pandemic Impacts (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Yiseul Lee is often cited by papers focused on COVID-19 epidemiological studies (6 papers), COVID-19 Pandemic Impacts (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Yiseul Lee collaborates with scholars based in United States, Canada and Denmark. Yiseul Lee's co-authors include Gerardo Chowell, Amna Tariq, Wongyeong Choi, Eunha Shim, Kimberlyn Roosa, Ping Yan, Ruiyan Luo, Richard Rothenberg, Alexander Kirpich and James M. Hyman and has published in prestigious journals such as Emerging infectious diseases, BMC Medicine and International Journal of Infectious Diseases.

In The Last Decade

Yiseul Lee

6 papers receiving 787 citations

Hit Papers

align trajectories

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.

Transmission potential and severity of COVID-19 in South Korea

2020 500 citations Eunha Shim, Amna Tariq et al. International Journal of Infectious Diseases profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yiseul Lee United States	5	553	331	265	105	102	6	804
Zian Zhuang Hong Kong	14	562 1.0×	419 1.3×	248 0.9×	89 0.8×	138 1.4×	27	919
Yinxiaohe Sun Singapore	7	545 1.0×	398 1.2×	257 1.0×	196 1.9×	135 1.3×	12	1.1k
Francesco Pinotti France	9	622 1.1×	356 1.1×	336 1.3×	132 1.3×	112 1.1×	12	996
Wongyeong Choi South Korea	7	410 0.7×	272 0.8×	169 0.6×	91 0.9×	85 0.8×	11	672
Carmen Huber Canada	4	306 0.6×	389 1.2×	158 0.6×	107 1.0×	85 0.8×	7	897
Joel Ruihan Koo Singapore	9	459 0.8×	260 0.8×	204 0.8×	141 1.3×	91 0.9×	20	852
Amna Tariq United States	15	772 1.4×	494 1.5×	327 1.2×	116 1.1×	151 1.5×	25	1.1k
Minah Park Singapore	11	626 1.1×	495 1.5×	297 1.1×	225 2.1×	161 1.6×	18	1.2k
Swapnil Mishra United Kingdom	14	384 0.7×	239 0.7×	179 0.7×	105 1.0×	112 1.1×	46	844
Haoyang Sun Singapore	11	466 0.8×	286 0.9×	207 0.8×	142 1.4×	91 0.9×	16	877

Countries citing papers authored by Yiseul Lee

Since Specialization

Citations

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

Fields of papers citing papers by Yiseul Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiseul Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Yiseul Lee. A scholar is included among the top collaborators of Yiseul 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 Yiseul Lee. Yiseul Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Tariq, Amna, Yiseul Lee, Kimberlyn Roosa, et al.. (2020). Real-time monitoring the transmission potential of COVID-19 in Singapore, March 2020. BMC Medicine. 18(1). 166–166. 82 indexed citations

2.

Shim, Eunha, Amna Tariq, Wongyeong Choi, Yiseul Lee, & Gerardo Chowell. (2020). Transmission potential and severity of COVID-19 in South Korea. International Journal of Infectious Diseases. 93. 339–344. 500 indexed citations breakdown →

3.

Roosa, Kimberlyn, Yiseul Lee, Ruiyan Luo, et al.. (2020). Short-term Forecasts of the COVID-19 Epidemic in Guangdong and Zhejiang, China: February 13–23, 2020. Journal of Clinical Medicine. 9(2). 596–596. 126 indexed citations

4.

Lee, Yiseul, Kimberlyn Roosa, & Gerardo Chowell. (2020). Systematic comparison of epidemic growth patterns using two different estimation approaches. Infectious Disease Modelling. 6. 5–14. 1 indexed citations

5.

Fung, Isaac Chun‐Hai, et al.. (2020). Severe Acute Respiratory Syndrome Coronavirus 2 Transmission Potential, Iran, 2020. Emerging infectious diseases. 26(8). 1915–1917. 31 indexed citations

6.

Chowell, Gerardo, Yiseul Lee, Sylvia K. Ofori, et al.. (2020). Doubling Time of the COVID-19 Epidemic by Province, China. Emerging infectious diseases. 26(8). 1912–1914. 64 indexed citations

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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