Yoon Seung Lee

1.1k total citations · 1 hit paper
10 papers, 238 citations indexed

About

Yoon Seung Lee is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Yoon Seung Lee has authored 10 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Infectious Diseases. Recurrent topics in Yoon Seung Lee's work include T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). Yoon Seung Lee is often cited by papers focused on T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). Yoon Seung Lee collaborates with scholars based in South Korea, United States and France. Yoon Seung Lee's co-authors include Nora Lam, Donna L. Färber, Takashi Senda, Lorenz Studer, Tomer Granot, Bastian Zimmer, Jean‐Laurent Casanova, Shen‐Ying Zhang, Daniel P. Caron and Rei Matsumoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Immunity.

In The Last Decade

Yoon Seung Lee

10 papers receiving 234 citations

Hit Papers

A guide to adaptive immune memory 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoon Seung Lee South Korea 7 75 50 47 31 30 10 238
Lizhen Song United States 6 41 0.5× 28 0.6× 49 1.0× 16 0.5× 36 1.2× 10 208
Hyun Jeong Ju South Korea 11 128 1.7× 46 0.9× 48 1.0× 6 0.2× 24 0.8× 46 456
Fernando Stengel Argentina 11 37 0.5× 58 1.2× 48 1.0× 19 0.6× 17 0.6× 27 383
Basak B. Ural United States 5 216 2.9× 41 0.8× 82 1.7× 37 1.2× 54 1.8× 8 420
Chhavi Goel India 7 31 0.4× 32 0.6× 91 1.9× 13 0.4× 17 0.6× 8 210
Moïse Michel France 10 155 2.1× 26 0.5× 50 1.1× 17 0.5× 200 6.7× 27 447
Olga Danov Germany 12 66 0.9× 68 1.4× 143 3.0× 35 1.1× 103 3.4× 22 436
Peter A. McAnulty United States 9 39 0.5× 17 0.3× 100 2.1× 12 0.4× 28 0.9× 10 277
Liming Gong China 10 26 0.3× 65 1.3× 139 3.0× 12 0.4× 54 1.8× 31 346
Mustafa Turhan Şahin Türkiye 10 40 0.5× 58 1.2× 27 0.6× 11 0.4× 12 0.4× 18 296

Countries citing papers authored by Yoon Seung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yoon Seung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoon Seung Lee

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

All Works

10 of 10 papers shown
1.
Lam, Nora, Bruce A. Buchholz, Yoon Seung Lee, et al.. (2025). Asynchronous aging and turnover of human circulating and tissue-resident memory T cells across sites. Immunity. 58(9). 2271–2288.e6. 1 indexed citations
2.
Park, Shin‐Young, et al.. (2024). Inhibitory Effect of Alnustone on Survival and Lung Metastasis of Colorectal Cancer Cells. Nutrients. 16(21). 3737–3737. 1 indexed citations
3.
Lam, Nora, Yoon Seung Lee, & Donna L. Färber. (2024). A guide to adaptive immune memory. Nature reviews. Immunology. 24(11). 810–829. 74 indexed citations breakdown →
4.
Lee, Yoon Seung, et al.. (2024). Saikosaponin D Inhibits Lung Metastasis of Colorectal Cancer Cells by Inducing Autophagy and Apoptosis. Nutrients. 16(12). 1844–1844. 7 indexed citations
5.
Ural, Basak B., Daniel P. Caron, Pranay Dogra, et al.. (2022). Inhaled particulate accumulation with age impairs immune function and architecture in human lung lymph nodes. Nature Medicine. 28(12). 2622–2632. 54 indexed citations
7.
Zhang, Peng, Aurélie Cobat, Yoon Seung Lee, et al.. (2021). A computational approach for detecting physiological homogeneity in the midst of genetic heterogeneity. The American Journal of Human Genetics. 108(6). 1012–1025. 8 indexed citations
8.
Zimmer, Bastian, Oliver Harschnitz, Yoon Seung Lee, et al.. (2018). Human iPSC-derived trigeminal neurons lack constitutive TLR3-dependent immunity that protects cortical neurons from HSV-1 infection. Proceedings of the National Academy of Sciences. 115(37). E8775–E8782. 56 indexed citations
9.
Ryoo, Seung Mok, Won Yong Kim, Chang Hwan Sohn, et al.. (2012). Factors promoting the prolonged shedding of the pandemic (H1N1) 2009 influenza virus in patients treated with oseltamivir for 5 days. Influenza and Other Respiratory Viruses. 7(5). 833–837. 26 indexed citations
10.
Son, Young‐Jin, et al.. (2008). Production of cyclodextrins in ultrafiltration membrane reactor containing cyclodextrin glycosyltransferase from Bacillus macerans.. PubMed. 18(4). 725–9. 6 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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