Gabsang Lee

8.1k total citations · 2 hit papers
68 papers, 5.7k citations indexed

About

Gabsang Lee is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Gabsang Lee has authored 68 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 20 papers in Cellular and Molecular Neuroscience and 10 papers in Surgery. Recurrent topics in Gabsang Lee's work include Pluripotent Stem Cells Research (37 papers), CRISPR and Genetic Engineering (18 papers) and Muscle Physiology and Disorders (9 papers). Gabsang Lee is often cited by papers focused on Pluripotent Stem Cells Research (37 papers), CRISPR and Genetic Engineering (18 papers) and Muscle Physiology and Disorders (9 papers). Gabsang Lee collaborates with scholars based in United States, South Korea and Germany. Gabsang Lee's co-authors include Lorenz Studer, Stuart M. Chambers, Mark Tomishima, Hyesoo Kim, Viviane Tabar, Yvonne Mica, Michel Sadelain, Eirini P. Papapetrou, Agnès Viale and Han Seok Ko and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Gabsang Lee

66 papers receiving 5.6k citations

Hit Papers

Transneuronal Propagation of Patho... 2009 2026 2014 2020 2019 2009 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabsang Lee United States 29 3.9k 1.2k 864 802 780 68 5.7k
Haruhisa Inoue Japan 42 4.4k 1.1× 2.0k 1.6× 1.5k 1.8× 1.4k 1.8× 851 1.1× 189 8.5k
Jens C. Schwamborn Luxembourg 39 3.3k 0.9× 1.6k 1.4× 840 1.0× 447 0.6× 825 1.1× 125 5.5k
Brian J. Wainger United States 19 2.9k 0.7× 1.4k 1.2× 927 1.1× 947 1.2× 565 0.7× 38 4.8k
Andreas Hermann Germany 42 2.6k 0.7× 1.3k 1.1× 1.7k 2.0× 845 1.1× 400 0.5× 241 5.8k
Qing Gao China 37 6.8k 1.8× 753 0.6× 320 0.4× 983 1.2× 605 0.8× 105 9.1k
Tilo Kunath United Kingdom 32 3.9k 1.0× 693 0.6× 472 0.5× 447 0.6× 439 0.6× 76 5.6k
Philip J. Horner United States 41 2.9k 0.8× 2.0k 1.7× 384 0.4× 442 0.6× 401 0.5× 96 6.4k
Oleksandr Platoshyn United States 37 3.4k 0.9× 1.0k 0.8× 450 0.5× 1.0k 1.3× 344 0.4× 68 6.2k
Gabriela Constantin Italy 40 2.8k 0.7× 826 0.7× 420 0.5× 1.2k 1.5× 247 0.3× 93 7.7k
Allison D. Ebert United States 30 2.6k 0.7× 839 0.7× 496 0.6× 378 0.5× 396 0.5× 65 3.4k

Countries citing papers authored by Gabsang Lee

Since Specialization
Citations

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

Fields of papers citing papers by Gabsang Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabsang Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Gabsang Lee. A scholar is included among the top collaborators of Gabsang 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 Gabsang Lee. Gabsang 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, Sangkyu, Dongsan Kim, Yohan Oh, et al.. (2025). A Rho GTPase-effector ensemble governs cell migration behavior. Nature Communications. 16(1). 9637–9637.
2.
Mi, Ruifa, et al.. (2024). hESC- and hiPSC-derived Schwann cells are molecularly comparable and functionally equivalent. iScience. 27(6). 109855–109855. 2 indexed citations
3.
Braun, Jessica L., Kun Ho Kim, Gabsang Lee, et al.. (2024). GSK3 inhibition improves skeletal muscle function and whole-body metabolism in male mouse models of Duchenne muscular dystrophy. Nature Communications. 15(1). 10210–10210. 5 indexed citations
4.
Kim, Min Seong, et al.. (2024). Stem Cell-Based Approaches in Parkinson's Disease Research. International Journal of Stem Cells. 18(1). 21–36. 3 indexed citations
5.
Kim, Min Seong, Hyesoo Kim, & Gabsang Lee. (2024). Precision Medicine in Parkinson's Disease Using Induced Pluripotent Stem Cells. Advanced Healthcare Materials. 13(21). e2303041–e2303041. 7 indexed citations
6.
Sun, Congshan, Suraj Kannan, In Young Choi, et al.. (2022). Human pluripotent stem cell-derived myogenic progenitors undergo maturation to quiescent satellite cells upon engraftment. Cell stem cell. 29(4). 610–619.e5. 17 indexed citations
8.
Tampakakis, Emmanouil, Stephanie Glavaris, Sean Murphy, et al.. (2021). Heart neurons use clock genes to control myocyte proliferation. Science Advances. 7(49). eabh4181–eabh4181. 22 indexed citations
9.
Sun, Congshan, In Young Choi, Peter Andersen, et al.. (2020). Duchenne muscular dystrophy hiPSC-derived myoblast drug screen identifies compounds that ameliorate disease in mdx mice. JCI Insight. 5(11). 24 indexed citations
10.
Choi, In Young, Hosuk Lee, Peter Andersen, et al.. (2020). Novel culture system via wirelessly controllable optical stimulation of the FGF signaling pathway for human and pig pluripotency. Biomaterials. 269. 120222–120222. 7 indexed citations
11.
Mi, Ruifa, Barbara Kern, In Young Choi, et al.. (2019). Comparison of three congruent patient-specific cell types for the modelling of a human genetic Schwann-cell disorder. Nature Biomedical Engineering. 3(7). 571–582. 23 indexed citations
12.
Kim, Sangjune, Seung‐Hwan Kwon, Tae‐In Kam, et al.. (2019). Transneuronal Propagation of Pathologic α-Synuclein from the Gut to the Brain Models Parkinson’s Disease. Neuron. 103(4). 627–641.e7. 961 indexed citations breakdown →
13.
Sun, Congshan, Carlo Serra, Gabsang Lee, & Kathryn R. Wagner. (2019). Stem cell-based therapies for Duchenne muscular dystrophy. Experimental Neurology. 323. 113086–113086. 76 indexed citations
14.
Nguyen, Trang, Wei Sun Park, Byung Ouk Park, et al.. (2016). PLEKHG3 enhances polarized cell migration by activating actin filaments at the cell front. Proceedings of the National Academy of Sciences. 113(36). 10091–10096. 25 indexed citations
15.
Choi, Jiho, Soohyun Lee, William Mallard, et al.. (2015). A comparison of genetically matched cell lines reveals the equivalence of human iPSCs and ESCs. Nature Biotechnology. 33(11). 1173–1181. 194 indexed citations
16.
Chambers, Stuart M., Yvonne Mica, Gabsang Lee, et al.. (2012). Combined small-molecule inhibition accelerates developmental timing and converts human pluripotent stem cells into nociceptors. Nature Biotechnology. 30(7). 715–720. 433 indexed citations
17.
Zimmer, Bastian, Gabsang Lee, Nina V. Balmer, et al.. (2012). Evaluation of Developmental Toxicants and Signaling Pathways in a Functional Test Based on the Migration of Human Neural Crest Cells. Environmental Health Perspectives. 120(8). 1116–1122. 79 indexed citations
18.
Kim, Hyesoo, Gabsang Lee, Yosif Ganat, et al.. (2011). miR-371-3 Expression Predicts Neural Differentiation Propensity in Human Pluripotent Stem Cells. Cell stem cell. 8(6). 695–706. 104 indexed citations
19.
Lee, Gabsang & Lorenz Studer. (2009). Induced pluripotent stem cell technology for the study of human disease. Nature Methods. 7(1). 25–27. 45 indexed citations
20.
Moore, Malcolm A.S., Jae-Hung Shieh, & Gabsang Lee. (2006). Hematopoietic Cells. Methods in enzymology on CD-ROM/Methods in enzymology. 418. 208–242. 2 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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