Joong‐Soo Han

2.9k total citations
110 papers, 2.5k citations indexed

About

Joong‐Soo Han is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Joong‐Soo Han has authored 110 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 23 papers in Immunology and 18 papers in Physiology. Recurrent topics in Joong‐Soo Han's work include Protein Kinase Regulation and GTPase Signaling (24 papers), Cell death mechanisms and regulation (13 papers) and Neurogenesis and neuroplasticity mechanisms (9 papers). Joong‐Soo Han is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (24 papers), Cell death mechanisms and regulation (13 papers) and Neurogenesis and neuroplasticity mechanisms (9 papers). Joong‐Soo Han collaborates with scholars based in South Korea, United States and China. Joong‐Soo Han's co-authors include Shin‐Young Park, Ju Hwan Cho, Sangmin Lee, Yang‐Kook Sun, Seung‐Taek Myung, Khalil Amine, Joel Moss, Walter A. Patton, Marek Liyanage and Sangkee Rhee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Joong‐Soo Han

108 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joong‐Soo Han South Korea 26 1.3k 400 343 327 257 110 2.5k
Wenlu Li China 30 1.6k 1.2× 287 0.7× 478 1.4× 327 1.0× 83 0.3× 102 3.1k
Ruian Xu China 30 1.4k 1.1× 154 0.4× 214 0.6× 229 0.7× 111 0.4× 80 2.5k
Jin Woong Chung South Korea 31 1.4k 1.1× 141 0.4× 227 0.7× 568 1.7× 106 0.4× 85 3.0k
Pei‐Hui Lin United States 30 2.0k 1.5× 585 1.5× 368 1.1× 339 1.0× 67 0.3× 75 4.1k
Zhen Zheng China 27 1.1k 0.8× 129 0.3× 218 0.6× 324 1.0× 136 0.5× 65 2.5k
Marianna Sikorska Canada 39 2.9k 2.2× 326 0.8× 330 1.0× 327 1.0× 121 0.5× 78 4.3k
Ji Young Mun South Korea 32 1.9k 1.4× 365 0.9× 237 0.7× 210 0.6× 58 0.2× 108 3.5k
Ke‐Yu Deng China 31 1.7k 1.2× 169 0.4× 213 0.6× 332 1.0× 66 0.3× 72 3.0k
Uh‐Hyun Kim South Korea 37 2.0k 1.5× 396 1.0× 405 1.2× 479 1.5× 51 0.2× 114 4.0k

Countries citing papers authored by Joong‐Soo Han

Since Specialization
Citations

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

Fields of papers citing papers by Joong‐Soo Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joong‐Soo 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 Joong‐Soo Han. The network helps show where Joong‐Soo Han may publish in the future.

Co-authorship network of co-authors of Joong‐Soo Han

This figure shows the co-authorship network connecting the top 25 collaborators of Joong‐Soo Han. A scholar is included among the top collaborators of Joong‐Soo 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 Joong‐Soo Han. Joong‐Soo 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.
Lee, Junwon, et al.. (2025). NOTCH1-STAT3 signaling axis regulates astrocytic differentiation of hippocampal neural stem/progenitor cells. Biochemical and Biophysical Research Communications. 765. 151844–151844. 1 indexed citations
2.
Kim, Dong‐Ju, Mee‐Sup Yoon, Seung‐Jun Lee, Shin‐Young Park, & Joong‐Soo Han. (2024). Effects of phospholipase D1-inhibitory peptide on the growth and metastasis of gastric cancer cells. Molecules and Cells. 47(11). 100128–100128. 1 indexed citations
3.
Kang, Min‐Jeong, Shin‐Young Park, & Joong‐Soo Han. (2019). MicroRNA-24-3p regulates neuronal differentiation by controlling hippocalcin expression. Cellular and Molecular Life Sciences. 76(22). 4569–4580. 23 indexed citations
4.
Han, Joong‐Soo, et al.. (2018). Detection Method for Distributed Web-Crawlers: A Long-Tail Threshold Model. Security and Communication Networks. 2018. 1–7. 5 indexed citations
5.
Han, Joong‐Soo, et al.. (2018). Differential regulation of mTORC1 and mTORC2 is critical for 8-Br-cAMP-induced decidualization. Experimental & Molecular Medicine. 50(10). 1–11. 33 indexed citations
6.
7.
Park, Shin‐Young, et al.. (2016). Hippocalcin Promotes Neuronal Differentiation and Inhibits Astrocytic Differentiation in Neural Stem Cells. Stem Cell Reports. 8(1). 95–111. 27 indexed citations
8.
Park, Shin‐Young, Min‐Jeong Kang, & Joong‐Soo Han. (2016). Neuronal NOS Induces Neuronal Differentiation Through a PKCα-Dependent GSK3β Inactivation Pathway in Hippocampal Neural Progenitor Cells. Molecular Neurobiology. 54(7). 5646–5656. 17 indexed citations
9.
Park, Shin‐Young, et al.. (2014). Phospholipase D1 Increases Bcl-2 Expression During Neuronal Differentiation of Rat Neural Stem Cells. Molecular Neurobiology. 51(3). 1089–1102. 12 indexed citations
10.
Choi, Hye Jin & Joong‐Soo Han. (2012). Overexpression of phospholipase D enhances Bcl-2 expression by activating STAT3 through independent activation of ERK and p38MAPK in HeLa cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1823(6). 1082–1091. 31 indexed citations
11.
Han, Myoung Sook, Yu-Mi Lim, Wenying Quan, et al.. (2011). Lysophosphatidylcholine as an effector of fatty acid-induced insulin resistance. Journal of Lipid Research. 52(6). 1234–1246. 115 indexed citations
12.
Cho, Ju Hwan, Eun‐Young Kim, Shin‐Young Park, et al.. (2008). Overexpression of phospholipase D suppresses taxotere-induced cell death in stomach cancer cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1783(5). 912–923. 29 indexed citations
13.
Oh, Doo‐Yi, et al.. (2006). Phospholipase D1 activation through Src and Ras is involved in basic fibroblast growth factor‐induced neurite outgrowth of H19‐7 cells. Journal of Cellular Biochemistry. 101(1). 221–234. 18 indexed citations
14.
Yoon, Mee‐Sup, et al.. (2005). Activation of phospholipase D by 8‐Br‐cAMP occurs through novel pathway involving Src, Ras, and ERK in human endometrial stromal cells. FEBS Letters. 579(25). 5635–5642. 22 indexed citations
15.
Shin, Incheol, et al.. (2002). Differential effects of Fas cross-linking on phospholipase D activation and related lipid metabolism in Fas-resistant A20 cells. Experimental & Molecular Medicine. 34(3). 201–210. 7 indexed citations
16.
Kim, Kyoung‐Ah, Young-Hoon Kim, Min Seok Seo, et al.. (2002). Mechanism of silica-induced ROS generation in Rat2 fibroblast cells. Toxicology Letters. 135(3). 185–191. 27 indexed citations
17.
Shin, Incheol, et al.. (2001). D609-sensitive tyrosine phosphorylation is involved in Fas-mediated phospholipase D activation. Experimental & Molecular Medicine. 33(4). 303–309. 12 indexed citations
18.
19.
Kim, Yong‐Seok, et al.. (1988). Chloramphenicol Resistance in Multiple Drug Resistant Clinical Isolates. Experimental & Molecular Medicine. 20(2). 137–149.
20.
Han, Joong‐Soo, et al.. (1987). Quantitative Determination of Markers for Trophoblastic Diseases in Urine using High-Performance Liquid Chromatography. Experimental & Molecular Medicine. 19(1). 47–57. 1 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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