Young-Goo Han

4.3k total citations
26 papers, 3.1k citations indexed

About

Young-Goo Han is a scholar working on Molecular Biology, Genetics and Developmental Neuroscience. According to data from OpenAlex, Young-Goo Han has authored 26 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Genetics and 8 papers in Developmental Neuroscience. Recurrent topics in Young-Goo Han's work include Hedgehog Signaling Pathway Studies (16 papers), Genetic and Kidney Cyst Diseases (11 papers) and Epigenetics and DNA Methylation (9 papers). Young-Goo Han is often cited by papers focused on Hedgehog Signaling Pathway Studies (16 papers), Genetic and Kidney Cyst Diseases (11 papers) and Epigenetics and DNA Methylation (9 papers). Young-Goo Han collaborates with scholars based in United States, France and Japan. Young-Goo Han's co-authors include Arturo Álvarez-Buylla, José Manuel García‐Verdugo, Nathalie Spassky, Andrea Aguilar, Maurice J. Kernan, Yong Ha Youn, Zaman Mirzadeh, Benjamin H. Kwok, Richard J. Gilbertson and Sylvie Schneider‐Maunoury and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Young-Goo Han

26 papers receiving 3.0k 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-Goo Han United States 20 2.3k 1.5k 555 543 460 26 3.1k
Aimin Liu United States 28 3.8k 1.7× 2.1k 1.4× 613 1.1× 342 0.6× 361 0.8× 55 4.3k
Brian Ciruna Canada 26 3.3k 1.4× 974 0.7× 1.1k 2.0× 532 1.0× 430 0.9× 45 4.3k
Anjen Chenn United States 26 2.6k 1.2× 660 0.5× 667 1.2× 1.5k 2.7× 1.0k 2.2× 43 4.0k
Jean‐Pierre Hardelin France 39 2.8k 1.2× 1.3k 0.9× 331 0.6× 158 0.3× 575 1.3× 79 5.2k
Jennifer L. Fish United States 23 1.6k 0.7× 627 0.4× 382 0.7× 616 1.1× 285 0.6× 49 2.5k
Kate G. Storey United Kingdom 36 4.3k 1.9× 876 0.6× 800 1.4× 830 1.5× 515 1.1× 65 4.8k
Thomas Theil United Kingdom 28 2.1k 0.9× 627 0.4× 383 0.7× 498 0.9× 665 1.4× 55 2.7k
Rivka A. Rachel United States 27 2.6k 1.1× 605 0.4× 960 1.7× 237 0.4× 755 1.6× 38 3.3k
Harukazu Nakamura Japan 39 3.7k 1.6× 969 0.7× 704 1.3× 700 1.3× 1.3k 2.8× 128 4.7k
Osamu Chisaka Japan 28 3.4k 1.5× 799 0.5× 656 1.2× 516 1.0× 1.3k 2.8× 44 4.6k

Countries citing papers authored by Young-Goo Han

Since Specialization
Citations

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

Fields of papers citing papers by Young-Goo Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young-Goo Han. 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-Goo Han. The network helps show where Young-Goo Han may publish in the future.

Co-authorship network of co-authors of Young-Goo Han

This figure shows the co-authorship network connecting the top 25 collaborators of Young-Goo Han. A scholar is included among the top collaborators of Young-Goo Han 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-Goo Han. Young-Goo Han 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.
Mann, Beth, Jeremy Chase Crawford, K. Kishta Reddy, et al.. (2023). Bacterial TLR2/6 Ligands Block Ciliogenesis, Derepress Hedgehog Signaling, and Expand the Neocortex. mBio. 14(3). e0051023–e0051023. 2 indexed citations
2.
Youn, Yong Ha, Shirui Hou, Daisuke Kawauchi, et al.. (2022). Primary cilia control translation and the cell cycle in medulloblastoma. Genes & Development. 36(11-12). 737–751. 23 indexed citations
3.
Liu, Fengming, Shirui Hou, Jamy C. Peng, et al.. (2022). A kinase-independent function of cyclin-dependent kinase 6 promotes outer radial glia expansion and neocortical folding. Proceedings of the National Academy of Sciences. 119(38). e2206147119–e2206147119. 6 indexed citations
4.
Garcia, A. Denise R., Young-Goo Han, Jason W. Triplett, et al.. (2018). The Elegance of Sonic Hedgehog: Emerging Novel Functions for a Classic Morphogen. Journal of Neuroscience. 38(44). 9338–9345. 35 indexed citations
5.
Youn, Yong Ha & Young-Goo Han. (2017). Primary Cilia in Brain Development and Diseases. American Journal Of Pathology. 188(1). 11–22. 115 indexed citations
6.
Hou, Shirui, Brent A. Orr, Bryan Kuo, et al.. (2017). mTORC1-Mediated Inhibition of 4EBP1 Is Essential for Hedgehog Signaling-Driven Translation and Medulloblastoma. Developmental Cell. 43(6). 673–688.e5. 44 indexed citations
7.
Campos, Yvan, Xiaohui Qiu, Elida Gomero, et al.. (2016). Alix-mediated assembly of the actomyosin–tight junction polarity complex preserves epithelial polarity and epithelial barrier. Nature Communications. 7(1). 11876–11876. 36 indexed citations
8.
Wang, Lei, Shirui Hou, & Young-Goo Han. (2016). Hedgehog signaling promotes basal progenitor expansion and the growth and folding of the neocortex. Nature Neuroscience. 19(7). 888–896. 127 indexed citations
9.
Vo, BaoHan T., Elmar Wolf, Daisuke Kawauchi, et al.. (2016). The Interaction of Myc with Miz1 Defines Medulloblastoma Subgroup Identity. Cancer Cell. 29(1). 5–16. 51 indexed citations
10.
Marada, Suresh, et al.. (2013). The Unfolded Protein Response Selectively Targets Active Smoothened Mutants. Molecular and Cellular Biology. 33(12). 2375–2387. 15 indexed citations
11.
Mirzadeh, Zaman, Young-Goo Han, Mario Soriano‐Navarro, José Manuel García‐Verdugo, & Arturo Álvarez-Buylla. (2010). Cilia Organize Ependymal Planar Polarity. Journal of Neuroscience. 30(7). 2600–2610. 197 indexed citations
12.
Han, Young-Goo & Arturo Álvarez-Buylla. (2010). Role of primary cilia in brain development and cancer. Current Opinion in Neurobiology. 20(1). 58–67. 122 indexed citations
13.
Guirao, Boris, Alice Meunier, Stéphane Mortaud, et al.. (2010). Coupling between hydrodynamic forces and planar cell polarity orients mammalian motile cilia. Nature Cell Biology. 12(4). 341–350. 316 indexed citations
14.
Han, Young-Goo, Hong Joo Kim, Andrzej A. Dlugosz, et al.. (2009). Dual and opposing roles of primary cilia in medulloblastoma development. Nature Medicine. 15(9). 1062–1065. 330 indexed citations
15.
Schüller, Ulrich, Vivi M. Heine, Junhao Mao, et al.. (2008). Acquisition of Granule Neuron Precursor Identity Is a Critical Determinant of Progenitor Cell Competence to Form Shh-Induced Medulloblastoma. Cancer Cell. 14(2). 123–134. 456 indexed citations
16.
Han, Young-Goo, Nathalie Spassky, José Manuel García‐Verdugo, et al.. (2008). Hedgehog signaling and primary cilia are required for the formation of adult neural stem cells. Nature Neuroscience. 11(3). 277–284. 411 indexed citations
17.
Spassky, Nathalie, Young-Goo Han, Andrea Aguilar, et al.. (2008). Primary cilia are required for cerebellar development and Shh-dependent expansion of progenitor pool. Developmental Biology. 317(1). 246–259. 235 indexed citations
18.
Han, Young-Goo, Benjamin H. Kwok, & Maurice J. Kernan. (2003). Intraflagellar Transport Is Required in Drosophila to Differentiate Sensory Cilia but Not Sperm. Current Biology. 13(19). 1679–1686. 180 indexed citations
19.
Chung, Yun Doo, Jingchun Zhu, Young-Goo Han, & Maurice J. Kernan. (2001). nompA Encodes a PNS-Specific, ZP Domain Protein Required to Connect Mechanosensory Dendrites to Sensory Structures. Neuron. 29(2). 415–428. 134 indexed citations
20.

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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