Sang-Yun Lee

1.2k total citations
21 papers, 918 citations indexed

About

Sang-Yun Lee is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Sang-Yun Lee has authored 21 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Immunology and 5 papers in Oncology. Recurrent topics in Sang-Yun Lee's work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (7 papers) and Escherichia coli research studies (5 papers). Sang-Yun Lee is often cited by papers focused on Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (7 papers) and Escherichia coli research studies (5 papers). Sang-Yun Lee collaborates with scholars based in United States, Canada and Denmark. Sang-Yun Lee's co-authors include Rama P. Cherla, Vernon L. Tesh, David L. Wiest, Moo‐Seung Lee, Dietmar J. Kappes, Michele Rhodes, Juan Carlos Zúñiga‐Pflücker, Gladys W. Wong, Juliette M. Lefebvre and Jason Stadanlick and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Blood.

In The Last Decade

Sang-Yun Lee

20 papers receiving 897 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang-Yun Lee United States 16 446 350 212 159 119 21 918
Ayub Qadri India 15 231 0.5× 274 0.8× 95 0.4× 95 0.6× 52 0.4× 36 647
Alexandre Bobard France 11 411 0.9× 433 1.2× 130 0.6× 354 2.2× 87 0.7× 14 1.2k
Dakshina M. Jandhyala United States 13 123 0.3× 254 0.7× 137 0.6× 120 0.8× 35 0.3× 16 577
Jan Schulze‐Luehrmann Germany 16 367 0.8× 430 1.2× 96 0.5× 119 0.7× 171 1.4× 25 985
Hafida Fsihi France 13 233 0.5× 549 1.6× 51 0.2× 127 0.8× 185 1.6× 18 1.0k
Stefanie Deppenmeier Germany 10 248 0.6× 394 1.1× 58 0.3× 55 0.3× 106 0.9× 11 826
Mandy Rettel Germany 18 172 0.4× 704 2.0× 48 0.2× 145 0.9× 55 0.5× 38 1.1k
A. Goepfert Switzerland 10 148 0.3× 239 0.7× 105 0.5× 41 0.3× 109 0.9× 16 568
Hai V. Nguyen United States 14 536 1.2× 305 0.9× 134 0.6× 42 0.3× 206 1.7× 22 1.1k
Francisco S. Mesquita Switzerland 13 91 0.2× 354 1.0× 79 0.4× 88 0.6× 37 0.3× 20 625

Countries citing papers authored by Sang-Yun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sang-Yun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang-Yun Lee

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

All Works

20 of 20 papers shown
1.
Lee, Sang-Yun, et al.. (2025). Phytochemical Profiling and Antioxidant Activity of True Leaves and Cotyledons of Adenocaulon himalaicum. ChemEngineering. 9(2). 31–31. 1 indexed citations
2.
Lee, Sang-Yun, Susan A. Shinton, Mitchell I. Parker, et al.. (2024). E proteins control the development of NKγδT cells through their invariant T cell receptor. Nature Communications. 15(1). 5078–5078. 2 indexed citations
3.
Lee, Jong‐Soo, et al.. (2023). Analysis of Aminoglycoside Antibiotics in Meat and Cell Culture Medium Coupled with Direct Injection of an Ion-pairing Reagent. Journal of Food Hygiene and Safety. 38(5). 319–331.
4.
Rao, Shuyun, Kathy Q. Cai, Jason Stadanlick, et al.. (2016). Ribosomal Protein Rpl22 Controls the Dissemination of T-cell Lymphoma. Cancer Research. 76(11). 3387–3396. 28 indexed citations
5.
Lee, Sang-Yun, Francis Coffey, Shawn P. Fahl, et al.. (2014). Noncanonical Mode of ERK Action Controls Alternative αβ and γδ T Cell Lineage Fates. Immunity. 41(6). 934–946. 25 indexed citations
6.
Coffey, Francis, Sang-Yun Lee, Terkild B. Buus, et al.. (2014). The TCR ligand-inducible expression of CD73 marks γδ lineage commitment and a metastable intermediate in effector specification. The Journal of Experimental Medicine. 211(2). 329–343. 63 indexed citations
7.
Kraus, Zachary, Julio Gómez‐Rodríguez, Sun‐Hee Hwang, et al.. (2013). A Role for Ly108 in the Induction of Promyelocytic Zinc Finger Transcription Factor in Developing Thymocytes. The Journal of Immunology. 190(5). 2121–2128. 42 indexed citations
8.
Rao, Shuyun, Sang-Yun Lee, Alejandro Gutiérrez, et al.. (2012). Inactivation of ribosomal protein L22 promotes transformation by induction of the stemness factor, Lin28B. Blood. 120(18). 3764–3773. 109 indexed citations
9.
Stadanlick, Jason, Sang-Yun Lee, Matthew C. Biery, et al.. (2011). Developmental Arrest of T Cells in Rpl22-Deficient Mice Is Dependent upon Multiple p53 Effectors. The Journal of Immunology. 187(2). 664–675. 28 indexed citations
10.
Lee, Sang-Yun, Jason Stadanlick, Dietmar J. Kappes, & David L. Wiest. (2010). Towards a molecular understanding of the differential signals regulating αβ/γδ T lineage choice. Seminars in Immunology. 22(4). 237–246. 32 indexed citations
11.
Weston, Paula, Kim Boekelheide, John M. Sedivy, et al.. (2009). Disruption of Supv3L1 damages the skin and causes sarcopenia, loss of fat, and death. Mammalian Genome. 20(2). 92–108. 15 indexed citations
12.
Lauritsen, Jens Peter H., Gladys W. Wong, Sang-Yun Lee, et al.. (2009). Marked Induction of the Helix-Loop-Helix Protein Id3 Promotes the γδ T Cell Fate and Renders Their Functional Maturation Notch Independent. Immunity. 31(4). 565–575. 119 indexed citations
13.
Lee, Sang-Yun, Moo‐Seung Lee, Rama P. Cherla, & Vernon L. Tesh. (2008). Shiga toxin 1 induces apoptosis through the endoplasmic reticulum stress response in human monocytic cells. Cellular Microbiology. 10(3). 770–780. 134 indexed citations
14.
Lee, Sang-Yun, et al.. (2008). Egr2 Is Required for Bcl-2 Induction during Positive Selection. The Journal of Immunology. 181(11). 7778–7785. 30 indexed citations
15.
Lee, Sang-Yun, et al.. (2008). Saponin Composition and Physico-Chemical Properties of Korean Red Ginseng Extract as Affected by Extracting Conditions. Journal of the Korean Society of Food Science and Nutrition. 37(2). 256–260. 23 indexed citations
16.
Lee, Sang-Yun, Rama P. Cherla, & Vernon L. Tesh. (2006). Simultaneous Induction of Apoptotic and Survival Signaling Pathways in Macrophage-Like THP-1 Cells by Shiga Toxin 1. Infection and Immunity. 75(3). 1291–1302. 31 indexed citations
17.
Harrison, Lisa M., et al.. (2005). Comparative evaluation of apoptosis induced by Shiga toxin 1 and/or lipopolysaccharides in human monocytic and macrophage-like cells. Microbial Pathogenesis. 38(2-3). 63–76. 37 indexed citations
18.
19.
Ryu, Ji Young, Dong-Wook Son, Jung-Il Kang, et al.. (2003). Phytochemical Constituents of Acanthopanax senticosus (Rupr. & Maxim.) Harms Stem. Korean Journal of Medicinal Crop Science. 11(4). 306–310. 3 indexed citations
20.
Cherla, Rama P., Sang-Yun Lee, & Vernon L. Tesh. (2003). Shiga toxins and apoptosis. FEMS Microbiology Letters. 228(2). 159–166. 86 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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