Yena Cho

490 total citations
12 papers, 356 citations indexed

About

Yena Cho is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Yena Cho has authored 12 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Oncology. Recurrent topics in Yena Cho's work include Epigenetics and DNA Methylation (7 papers), Cancer-related gene regulation (6 papers) and Autophagy in Disease and Therapy (3 papers). Yena Cho is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Cancer-related gene regulation (6 papers) and Autophagy in Disease and Therapy (3 papers). Yena Cho collaborates with scholars based in South Korea and United States. Yena Cho's co-authors include Yong Kee Kim, Su‐Nam Kim, Jee Won Hwang, Yong Kee Kim, Gyu‐Un Bae, In Su Kim, Woo‐Young Kim, Sang Hoon Han, Mi Na Park and Saegun Kim and has published in prestigious journals such as Scientific Reports, Free Radical Biology and Medicine and International Journal of Molecular Sciences.

In The Last Decade

Yena Cho

11 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yena Cho South Korea	7	249	63	38	25	18	12	356
Merve Çakır United States	7	244 1.0×	81 1.3×	66 1.7×	34 1.4×	32 1.8×	9	340
Poonam Gera India	12	201 0.8×	54 0.9×	49 1.3×	17 0.7×	26 1.4×	32	326
Yalei Wen China	8	170 0.7×	97 1.5×	40 1.1×	26 1.0×	30 1.7×	16	283
Chun Chen China	6	219 0.9×	85 1.3×	107 2.8×	26 1.0×	29 1.6×	8	366
Geoffrey Grandjean United States	7	191 0.8×	63 1.0×	100 2.6×	39 1.6×	19 1.1×	9	305
Lin Yu China	10	134 0.5×	77 1.2×	48 1.3×	19 0.8×	24 1.3×	22	292
Boheng Li China	8	175 0.7×	58 0.9×	25 0.7×	10 0.4×	16 0.9×	20	326
Federico Lucantoni Spain	10	183 0.7×	75 1.2×	84 2.2×	50 2.0×	28 1.6×	14	333
Zhi Qi China	11	331 1.3×	85 1.3×	54 1.4×	30 1.2×	54 3.0×	32	502

Countries citing papers authored by Yena Cho

Since Specialization

Citations

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

Fields of papers citing papers by Yena Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yena Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Yena Cho. A scholar is included among the top collaborators of Yena Cho 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 Yena Cho. Yena Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Cho, Yena & Yong Kee Kim. (2026). Multilayered regulation of cytoskeletal protein abundance: autoregulatory mechanisms of actin and tubulin. Experimental & Molecular Medicine. 58(1). 59–72.

Choi, Kyuwan, et al.. (2025). Cell–cell communications in the brain of hepatic encephalopathy: The neurovascular unit. Life Sciences. 363. 123413–123413. 1 indexed citations

Cho, Yena, Dae‐Geun Song, Su‐Nam Kim, & Yong Kee Kim. (2025). CARM1 S217 phosphorylation by CDK1 in late G2 phase facilitates mitotic entry. Cell Death and Disease. 16(1). 202–202. 1 indexed citations

Cho, Yena, Jee Won Hwang, Mark T. Bedford, et al.. (2025). Reversible arginine methylation of PI3KC2α controls mitotic spindle dynamics. Cell Communication and Signaling. 23(1). 409–409. 1 indexed citations

Cho, Yena, et al.. (2025). CARM1 regulates tubulin autoregulation through PI3KC2α R175 methylation. Cell Communication and Signaling. 23(1). 120–120. 2 indexed citations

Cho, Yena & Yong Kee Kim. (2024). CARM1 phosphorylation at S595 by p38γ MAPK drives ROS-mediated cellular senescence. Redox Biology. 76. 103344–103344. 11 indexed citations

Cho, Yena & Yong Kee Kim. (2024). ROS-mediated cytoplasmic localization of CARM1 induces mitochondrial fission through DRP1 methylation. Redox Biology. 73. 103212–103212. 15 indexed citations

Cho, Yena, Jee Won Hwang, No-June Park, et al.. (2023). SPC-180002, a SIRT1/3 dual inhibitor, impairs mitochondrial function and redox homeostasis and represents an antitumor activity. Free Radical Biology and Medicine. 208. 73–87. 9 indexed citations

Cho, Yena, et al.. (2022). PRMT7 Inhibitor SGC8158 Enhances Doxorubicin-Induced DNA Damage and Its Cytotoxicity. International Journal of Molecular Sciences. 23(20). 12323–12323. 7 indexed citations

10.

Park, Mi Na, Jee Won Hwang, Yena Cho, et al.. (2021). A novel synthetic microtubule inhibitor exerts antiproliferative effects in multidrug resistant cancer cells and cancer stem cells. Scientific Reports. 11(1). 10822–10822. 59 indexed citations

11.

Hwang, Jee Won, Yena Cho, Gyu‐Un Bae, Su‐Nam Kim, & Yong Kee Kim. (2021). Protein arginine methyltransferases: promising targets for cancer therapy. Experimental & Molecular Medicine. 53(5). 788–808. 169 indexed citations

12.

Cho, Yena & Yong Kee Kim. (2020). Cancer Stem Cells as a Potential Target to Overcome Multidrug Resistance. Frontiers in Oncology. 10. 764–764. 81 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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