Young‐Don Lee

2.0k total citations
42 papers, 1.6k citations indexed

About

Young‐Don Lee is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Young‐Don Lee has authored 42 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 10 papers in Developmental Neuroscience. Recurrent topics in Young‐Don Lee's work include Neurogenesis and neuroplasticity mechanisms (10 papers), Mesenchymal stem cell research (7 papers) and Pluripotent Stem Cells Research (5 papers). Young‐Don Lee is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (10 papers), Mesenchymal stem cell research (7 papers) and Pluripotent Stem Cells Research (5 papers). Young‐Don Lee collaborates with scholars based in South Korea, United States and Japan. Young‐Don Lee's co-authors include Haeyoung Suh‐Kim, Sung‐Soo Kim, Seung‐Wan Yoo, Sungho Ghil, Doo‐Sik Kim, In‐Cheol Kang, Soo‐Yeol Lee, Da‐Young Chang, Akihiro Takemura and Noriaki Mitsuda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Young‐Don Lee

42 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young‐Don Lee South Korea 24 747 422 387 336 242 42 1.6k
Patricia Jensen United States 24 1.2k 1.6× 819 1.9× 443 1.1× 303 0.9× 177 0.7× 43 2.4k
Ann C. Kato Switzerland 18 829 1.1× 875 2.1× 235 0.6× 390 1.2× 140 0.6× 28 1.9k
Josep E. Esquerda Spain 26 806 1.1× 648 1.5× 411 1.1× 208 0.6× 63 0.3× 66 1.7k
Masoud Tavazoie United States 8 1.4k 1.8× 431 1.0× 194 0.5× 734 2.2× 182 0.8× 19 2.2k
Tsukasa Sanosaka Japan 22 1.0k 1.4× 303 0.7× 190 0.5× 489 1.5× 306 1.3× 41 1.6k
Aurélie Ernst Germany 15 908 1.2× 377 0.9× 308 0.8× 576 1.7× 148 0.6× 28 1.8k
Mackenzie W. Amoroso United States 9 1.5k 2.1× 505 1.2× 291 0.8× 163 0.5× 113 0.5× 9 2.1k
Marie‐Christine Birling France 25 1.0k 1.4× 477 1.1× 173 0.4× 201 0.6× 403 1.7× 61 1.8k
Hiroko Yano United States 23 1.5k 2.1× 1.3k 3.1× 156 0.4× 447 1.3× 143 0.6× 56 2.8k
Chang‐Hyuk Kwon United States 17 1.6k 2.1× 625 1.5× 554 1.4× 624 1.9× 625 2.6× 19 3.0k

Countries citing papers authored by Young‐Don Lee

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Don Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young‐Don Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Don Lee. A scholar is included among the top collaborators of Young‐Don 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 Young‐Don Lee. Young‐Don 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
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Shin, Tae Hwan, Eun-Sil Sung, Ye‐Jin Kim, et al.. (2014). Enhancement of the Tumor Penetration of Monoclonal Antibody by Fusion of a Neuropilin-Targeting Peptide Improves the Antitumor Efficacy. Molecular Cancer Therapeutics. 13(3). 651–661. 54 indexed citations
3.
4.
Lee, Young‐Don, et al.. (2013). Neural Induction with Neurogenin 1 Enhances the Therapeutic Potential of Mesenchymal Stem Cells in an Amyotrophic Lateral Sclerosis Mouse Model. Cell Transplantation. 22(5). 855–870. 28 indexed citations
5.
Park, Jin‐Sung, Da‐Young Chang, Jin Hwa Jung, et al.. (2013). Retrovirus-mediated transduction of a cytosine deaminase gene preserves the stemness of mesenchymal stem cells. Experimental & Molecular Medicine. 45(2). e10–e10. 16 indexed citations
6.
Yoo, Seung‐Wan, Da‐Young Chang, Hye Sun Lee, et al.. (2013). Immune following suppression mesenchymal stem cell transplantation in the ischemic brain is mediated by TGF-β. Neurobiology of Disease. 58. 249–257. 102 indexed citations
7.
Jung, Mi-Young, Ki‐Sun Kwon, Eunpyo Moon, et al.. (2012). Deregulation of CREB Signaling Pathway Induced by Chronic Hyperglycemia Downregulates NeuroD Transcription. PLoS ONE. 7(4). e34860–e34860. 18 indexed citations
8.
Hur, Sang‐Woo, Chi‐Hoon Lee, Seunghyun Lee, et al.. (2012). Characterization of cholecystokinin-producing cells and mucus-secreting goblet cells in the blacktip grouper, Epinephelus fasciatus. Tissue and Cell. 45(2). 153–157. 17 indexed citations
9.
Jeon, Young-Jin, Dong‐Sik Ham, Mi-Young Jung, et al.. (2009). Id Proteins Facilitate Self-Renewal and Proliferation of Neural Stem Cells. Stem Cells and Development. 19(6). 831–841. 58 indexed citations
10.
Tsai, Ming‐Jer, et al.. (2008). Expression of Disabled 1 suppresses astroglial differentiation in neural stem cells. Molecular and Cellular Neuroscience. 40(1). 50–61. 15 indexed citations
11.
Kim, Sung‐Soo, Seung‐Wan Yoo, Han‐Seong Jeong, et al.. (2008). Neural Induction with Neurogenin1 Increases the Therapeutic Effects of Mesenchymal Stem Cells in the Ischemic Brain. Stem Cells. 26(9). 2217–2228. 79 indexed citations
12.
Lee, Young‐Don, et al.. (2007). Effects of estrogen on lifespan and motor functions in female hSOD1 G93A transgenic mice. Journal of the Neurological Sciences. 268(1-2). 40–47. 96 indexed citations
13.
Park, Yongju, et al.. (2006). Diurnal and circadian regulation of a melatonin receptor, MT1, in the golden rabbitfish, Siganus guttatus. General and Comparative Endocrinology. 150(2). 253–262. 47 indexed citations
14.
Kim, Jun‐Ho, et al.. (2005). Survival after Curative Surgery for a Colorectal Mucinous Carcinoma. 21(4). 220–224. 1 indexed citations
15.
Ghil, Sungho, Dong Sun Kim, Sung Hwan Kim, et al.. (2003). Modulation of the N-type calcium channel gene expression by the α subunit of Go. Molecular Brain Research. 112(1-2). 95–102. 3 indexed citations
16.
Kim, So-Yeon, et al.. (2001). Overexpression of BETA2/NeuroD induces neurite outgrowth in F11 neuroblastoma cells. Journal of Neurochemistry. 77(1). 103–109. 30 indexed citations
17.
Cho, Jang‐Hyeon, Soyeon Kim, Sungho Ghil, et al.. (2001). Overexpression of BETA2/NeuroD induces neurite outgrowth in F11 neuroblastoma cells. Journal of Neurochemistry. 77(1). 103–109. 24 indexed citations
18.
Ghil, Sungho, et al.. (2000). Neurite Outgrowth Induced by Cyclic AMP Can Be Modulated by the α Subunit of Go. Journal of Neurochemistry. 74(1). 151–158. 56 indexed citations
19.
Lee, Ja‐Kyeong, Ji Hyun Park, In Young Choi, et al.. (1999). Molecular Cloning of Multiple Splicing Variants of JIP‐1 Preferentially Expressed in Brain. Journal of Neurochemistry. 72(4). 1335–1343. 43 indexed citations
20.
Kang, In‐Cheol, Young‐Don Lee, & Doo‐Sik Kim. (1999). A novel disintegrin salmosin inhibits tumor angiogenesis.. PubMed. 59(15). 3754–60. 100 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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