Sangmyung Rhee

2.3k total citations
68 papers, 1.8k citations indexed

About

Sangmyung Rhee is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Sangmyung Rhee has authored 68 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 31 papers in Cell Biology and 13 papers in Immunology and Allergy. Recurrent topics in Sangmyung Rhee's work include Cellular Mechanics and Interactions (20 papers), Cell Adhesion Molecules Research (13 papers) and Ubiquitin and proteasome pathways (10 papers). Sangmyung Rhee is often cited by papers focused on Cellular Mechanics and Interactions (20 papers), Cell Adhesion Molecules Research (13 papers) and Ubiquitin and proteasome pathways (10 papers). Sangmyung Rhee collaborates with scholars based in South Korea, United States and Japan. Sangmyung Rhee's co-authors include Frederick Grinnell, Chin-Han Ho, Hongmei Jiang, Daehwan Kim, Jung-Woong Kim, Dae‐Hwan Kim, Woo Keun Song, Hong Jiang, Lenaldo Branco Rocha and Chin Ha Chung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Sangmyung Rhee

67 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangmyung Rhee South Korea 26 873 585 330 253 173 68 1.8k
Yang-Kao Wang Taiwan 19 824 0.9× 931 1.6× 753 2.3× 329 1.3× 178 1.0× 31 2.2k
Manimalha Balasubramani United States 21 790 0.9× 412 0.7× 230 0.7× 114 0.5× 323 1.9× 29 1.9k
Panagiotis Mistriotis United States 21 785 0.9× 586 1.0× 468 1.4× 371 1.5× 120 0.7× 37 1.8k
Cristina Magnoni Italy 23 742 0.8× 368 0.6× 218 0.7× 371 1.5× 158 0.9× 92 2.1k
Irina Arnaoutova United States 15 953 1.1× 441 0.8× 562 1.7× 430 1.7× 251 1.5× 23 2.1k
Dhandapani Kuppuswamy United States 29 1.1k 1.3× 487 0.8× 153 0.5× 239 0.9× 104 0.6× 48 1.9k
Il Ho Jang South Korea 28 1.7k 1.9× 827 1.4× 367 1.1× 334 1.3× 130 0.8× 62 2.8k
Wayne Carver United States 30 927 1.1× 615 1.1× 249 0.8× 217 0.9× 334 1.9× 60 2.6k
Zhong‐Dong Shi United States 18 985 1.1× 337 0.6× 375 1.1× 206 0.8× 130 0.8× 25 1.8k
Buer Sen United States 30 1.5k 1.7× 768 1.3× 249 0.8× 241 1.0× 62 0.4× 46 2.7k

Countries citing papers authored by Sangmyung Rhee

Since Specialization
Citations

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

Fields of papers citing papers by Sangmyung Rhee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangmyung Rhee

This figure shows the co-authorship network connecting the top 25 collaborators of Sangmyung Rhee. A scholar is included among the top collaborators of Sangmyung Rhee 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 Sangmyung Rhee. Sangmyung Rhee 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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Choi, Jee‐Hye, Jaesung Choi, Dong Ho Lee, et al.. (2024). EGCG-induced selective death of cancer cells through autophagy-dependent regulation of the p62-mediated antioxidant survival pathway. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1871(5). 119659–119659. 8 indexed citations
3.
Kim, Jiyoung, Jiyoung Kim, Jinho Kim, et al.. (2024). Reorganization of H3K9me heterochromatin leads to neuronal impairment via the cascading destruction of the KDM3B-centered epigenomic network. iScience. 27(8). 110380–110380. 2 indexed citations
4.
Choi, Jee‐Hye, et al.. (2024). Genetic disruption of ATAT1 causes RhoA downregulation through abnormal truncation of C/EBPβ. BMB Reports. 57(6). 293–298. 1 indexed citations
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6.
Kim, Jung-Woong, et al.. (2020). Dynein-mediated nuclear translocation of yes-associated protein through microtubule acetylation controls fibroblast activation. Cellular and Molecular Life Sciences. 77(20). 4143–4161. 22 indexed citations
7.
Kim, Il Hwan, Hyejin Oh, Jeomil Bae, et al.. (2019). SPIN90, an adaptor protein, alters the proximity between Rab5 and Gapex5 and facilitates Rab5 activation during EGF endocytosis. Experimental & Molecular Medicine. 51(7). 1–14. 8 indexed citations
8.
Kim, Dae‐Hyun, Chulhong Kim, Mijin Kim, et al.. (2018). Histone demethylase KDM3B regulates the transcriptional network of cell-cycle genes in hepatocarcinoma HepG2 cells. Biochemical and Biophysical Research Communications. 508(2). 576–582. 22 indexed citations
9.
Kim, Dae‐Hwan, et al.. (2018). Spindle pole body component 25 homolog expressed by ECM stiffening is required for lung cancer cell proliferation. Biochemical and Biophysical Research Communications. 500(4). 937–943. 29 indexed citations
10.
Huh, Yun Hyun, Sohee Kim, Ok-Jun Lee, et al.. (2017). SPIN90 Depletion and Microtubule Acetylation Mediate Stromal Fibroblast Activation in Breast Cancer Progression. Cancer Research. 77(17). 4710–4722. 25 indexed citations
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Kim, Kee‐Beom, Dongwook Kim, Jin Woo Park, et al.. (2013). Inhibition of Ku70 acetylation by INHAT subunit SET/TAF-Iβ regulates Ku70-mediated DNA damage response. Cellular and Molecular Life Sciences. 71(14). 2731–2745. 29 indexed citations
14.
Kim, Daehwan, et al.. (2013). Discoidin domain receptor 2 regulates the adhesion of fibroblasts to 3D collagen matrices. International Journal of Molecular Medicine. 31(5). 1113–1118. 14 indexed citations
15.
Lee, Seung Joon, et al.. (2011). Interaction of microtubules and actin with the N-terminus of βPix-bL directs cellular pinocytosis. Molecular and Cellular Biochemistry. 351(1-2). 207–215. 4 indexed citations
16.
Ryou, Sang-Mi, Jongmyung Kim, Ji‐Hyun Yeom, et al.. (2011). Gold nanoparticle-assisted delivery of small, highly structured RNA into the nuclei of human cells. Biochemical and Biophysical Research Communications. 416(1-2). 178–183. 27 indexed citations
17.
Choi, Jee‐Hye, Jina Park, Jin‐Hong Kim, et al.. (2009). TSA-induced DNMT1 down-regulation represses hTERT expression via recruiting CTCF into demethylated core promoter region of hTERT in HCT116. Biochemical and Biophysical Research Communications. 391(1). 449–454. 53 indexed citations
18.
Kang, Yun Chan, Kyung‐Hee Kim, Yang‐Jo Seol, & Sangmyung Rhee. (2008). Evaluations of osteogenic and osteoconductive properties of a non-woven silica gel fabric made by the electrospinning method. Acta Biomaterialia. 5(1). 462–469. 33 indexed citations
19.
Rhee, Sangmyung, Hongmei Jiang, Chin-Han Ho, & Frederick Grinnell. (2007). Microtubule function in fibroblast spreading is modulated according to the tension state of cell–matrix interactions. Proceedings of the National Academy of Sciences. 104(13). 5425–5430. 130 indexed citations
20.
Lee, Kun Ho, Sangmyung Rhee, Yunhee Kim Kwon, et al.. (1999). Neuregulin Stimulates Myogenic Differentiation in an Autocrine Manner. Journal of Biological Chemistry. 274(22). 15395–15400. 58 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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