Jae Souk Lee

756 total citations
10 papers, 577 citations indexed

About

Jae Souk Lee is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jae Souk Lee has authored 10 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jae Souk Lee's work include Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (4 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Jae Souk Lee is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (4 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Jae Souk Lee collaborates with scholars based in South Korea, Japan and United States. Jae Souk Lee's co-authors include Dong‐Wook Kim, Chul‐Yong Park, Joong Woo Leem, Dongjin R. Lee, Ji Young Kim, In Hyun Park, George Q. Daley, Tomer Halevy, Jin Jea Sung and Nissim Benvenisty and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cell stem cell and Stem Cells.

In The Last Decade

Jae Souk Lee

10 papers receiving 574 citations

Peers

Jae Souk Lee

GENET

CMN

SURGE

Dongjin R. Lee South Korea

Kent Imaizumi Japan

Kristen Martins‐Taylor United States

Meiyan Wang United States

Marc Thier Germany

Raquel Martín‐Ibáñez Spain

Mark Denham Australia

Fatima Cavaleri Germany

Yoichi Imaizumi Japan

Dongjin R. Lee South Korea

Jae Souk Lee

337 ×0.7

110 ×0.9

GENET

104 ×0.8

CMN

51 ×0.7

41 ×0.6

SURGE

Citations per year, relative to Jae Souk Lee Jae Souk Lee (= 1×) peers Dongjin R. Lee

Countries citing papers authored by Jae Souk Lee

Since Specialization

Citations

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

Fields of papers citing papers by Jae Souk Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae Souk Lee

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

All Works

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10 of 10 papers shown

Park, Sang Hyun, Jae Souk Lee, Seung Taek Nam, et al.. (2023). Preclinical and dose-ranging assessment of hESC-derived dopaminergic progenitors for a clinical trial on Parkinson's disease. Cell stem cell. 31(1). 25–38.e8. 23 indexed citations

Park, Sanghyun, Jeong‐Eun Yoo, Jin Hee Kim, et al.. (2021). Trophoblast glycoprotein is a new candidate gene for Parkinson’s disease. npj Parkinson s Disease. 7(1). 110–110. 3 indexed citations

Kim, Ji Young, Jae Souk Lee, Hyun Sub Hwang, et al.. (2018). Wnt signal activation induces midbrain specification through direct binding of the beta-catenin/TCF4 complex to the EN1 promoter in human pluripotent stem cells. Experimental & Molecular Medicine. 50(4). 1–13. 15 indexed citations

Kim, Dae‐Sung, Jae Souk Lee, Hyun Ah Kim, et al.. (2017). Rapid generation of OPC-like cells from human pluripotent stem cells for treating spinal cord injury. Experimental & Molecular Medicine. 49(7). e361–e361. 32 indexed citations

Yoo, Jeong-Eun, Jae Souk Lee, Sanghyun Park, et al.. (2015). PSA-NCAM-Negative Neural Crest Cells Emerging during Neural Induction of Pluripotent Stem Cells Cause Mesodermal Tumors and Unwanted Grafts. Stem Cell Reports. 4(5). 821–834. 18 indexed citations

Park, Chul‐Yong, Tomer Halevy, Dongjin R. Lee, et al.. (2015). Reversion of FMR1 Methylation and Silencing by Editing the Triplet Repeats in Fragile X iPSC-Derived Neurons. Cell Reports. 13(2). 234–241. 133 indexed citations

Park, Chul‐Yong, Jung‐Eun Kim, Jiyeon Kweon, et al.. (2014). Targeted inversion and reversion of the blood coagulation factor 8 gene in human iPS cells using TALENs. Proceedings of the National Academy of Sciences. 111(25). 9253–9258. 104 indexed citations

Lee, Jae Souk, Joong Woo Leem, Ji Young Kim, et al.. (2010). Robust Enhancement of Neural Differentiation from Human ES and iPS Cells Regardless of their Innate Difference in Differentiation Propensity. Stem Cell Reviews and Reports. 6(2). 270–281. 186 indexed citations

Kim, Dae‐Sung, Taick Sang Nam, Younghoon Jeon, et al.. (2010). Transplantation of GABAergic Neurons from ESCs Attenuates Tactile Hypersensitivity Following Spinal Cord Injury. Stem Cells. 28(11). 2099–2108. 24 indexed citations

10.

Moon, Ju Hyun, et al.. (2008). Cross talk between P2 purinergic receptors modulates extracellular ATP-mediated interleukin-10 production in rat microglial cells. Experimental & Molecular Medicine. 40(1). 19–19. 39 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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