Jesang Ko

2.4k total citations
72 papers, 2.0k citations indexed

About

Jesang Ko is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jesang Ko has authored 72 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 30 papers in Oncology and 20 papers in Immunology. Recurrent topics in Jesang Ko's work include Chemokine receptors and signaling (15 papers), Cell Adhesion Molecules Research (11 papers) and Protease and Inhibitor Mechanisms (10 papers). Jesang Ko is often cited by papers focused on Chemokine receptors and signaling (15 papers), Cell Adhesion Molecules Research (11 papers) and Protease and Inhibitor Mechanisms (10 papers). Jesang Ko collaborates with scholars based in South Korea, United States and Japan. Jesang Ko's co-authors include Sung-Wuk Jang, Hyereen Kang, Doe Sun Na, Hyoung‐Tae An, Jeonghan Kim, Ki Hoon Han, Yoon Suk Kim, Ho Joong Sung, Sung‐Wuk Jang and Jin Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Jesang Ko

71 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jesang Ko South Korea 28 1.1k 491 399 313 211 72 2.0k
Masataka Kohno Japan 22 1.2k 1.1× 542 1.1× 250 0.6× 376 1.2× 187 0.9× 79 2.3k
Xiuling Zhi China 27 1.1k 1.0× 384 0.8× 509 1.3× 399 1.3× 170 0.8× 63 2.3k
Ju-Ming Wang Taiwan 28 1.3k 1.2× 455 0.9× 414 1.0× 499 1.6× 102 0.5× 44 2.1k
Mary M. Kavurma Australia 30 1.5k 1.3× 751 1.5× 280 0.7× 413 1.3× 221 1.0× 60 2.4k
Satoru Kase Japan 29 1.3k 1.2× 241 0.5× 328 0.8× 220 0.7× 184 0.9× 203 3.4k
Chenghui Yan China 27 1.2k 1.1× 360 0.7× 239 0.6× 403 1.3× 195 0.9× 166 2.3k
Raj Wadgaonkar United States 23 923 0.8× 387 0.8× 213 0.5× 209 0.7× 213 1.0× 41 1.5k
Hyo Kyun Chung South Korea 28 986 0.9× 513 1.0× 440 1.1× 241 0.8× 461 2.2× 44 2.2k
Juan‐José Ventura United States 22 1.8k 1.6× 472 1.0× 650 1.6× 521 1.7× 158 0.7× 34 2.6k
Osman Nidai Özeş United States 4 1.5k 1.3× 525 1.1× 465 1.2× 704 2.2× 160 0.8× 5 2.2k

Countries citing papers authored by Jesang Ko

Since Specialization
Citations

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

Fields of papers citing papers by Jesang Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesang Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Jesang Ko. A scholar is included among the top collaborators of Jesang Ko 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 Jesang Ko. Jesang Ko 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, Sunyoung, Ji Hyun Kim, In-Hwan Jang, et al.. (2024). Harnessing B7-H6 for Anticancer Immunotherapy: Expression, Pathways, and Therapeutic Strategies. International Journal of Molecular Sciences. 25(19). 10326–10326. 2 indexed citations
2.
3.
Kim, S.B., et al.. (2024). CD133-containing microvesicles promote colorectal cancer progression by inducing tumor angiogenesis. Heliyon. 10(7). e29292–e29292. 6 indexed citations
4.
Park, Sung‐Yeon, et al.. (2020). α-Actinin-4 Promotes the Progression of Prostate Cancer Through the Akt/GSK-3β/β-Catenin Signaling Pathway. Frontiers in Cell and Developmental Biology. 8. 588544–588544. 14 indexed citations
5.
Jeong, Ju‐Yeon, et al.. (2017). Small leucine zipper protein functions as a negative regulator of estrogen receptor α in breast cancer. PLoS ONE. 12(6). e0180197–e0180197. 9 indexed citations
6.
7.
Park, Ok Hyun, Joori Park, Mi Ra Yu, et al.. (2016). Identification and molecular characterization of cellular factors required for glucocorticoid receptor-mediated mRNA decay. Genes & Development. 30(18). 2093–2105. 42 indexed citations
8.
Park, Eunsoo, Hyereen Kang, Jeonghan Kim, & Jesang Ko. (2014). The Role of sLZIP in Transcriptional Regulation of c-Jun and Involvement in Migration and Invasion of Cervical Cancer Cells. Cellular Physiology and Biochemistry. 33(1). 151–164. 9 indexed citations
9.
An, Hyoung‐Tae, Jeonghan Kim, Seung‐Min Yoo, & Jesang Ko. (2013). Small Leucine Zipper Protein (sLZIP) Negatively Regulates Skeletal Muscle Differentiation via Interaction with α-Actinin-4. Journal of Biological Chemistry. 289(8). 4969–4979. 14 indexed citations
10.
Sung, Ho Joong, et al.. (2011). N-acetyl cysteine suppresses the foam cell formation that is induced by oxidized low density lipoprotein via regulation of gene expression. Molecular Biology Reports. 39(3). 3001–3007. 25 indexed citations
11.
Jang, Soon Young, Sung-Wuk Jang, & Jesang Ko. (2011). Regulation of ADP-ribosylation factor 4 expression by small leucine zipper protein and involvement in breast cancer cell migration. Cancer Letters. 314(2). 185–197. 26 indexed citations
12.
Kim, Jeonghan, Yoon Suk Kim, & Jesang Ko. (2010). CKβ8/CCL23 and its isoform CKβ8-1 induce up-regulation of cyclins via the Gi/Go protein/PLC/PKCδ/ERK leading to cell-cycle progression. Cytokine. 50(1). 42–49. 10 indexed citations
13.
Jang, Soon Young, Sung-Wuk Jang, & Jesang Ko. (2010). Celastrol inhibits the growth of estrogen positive human breast cancer cells through modulation of estrogen receptor α. Cancer Letters. 300(1). 57–65. 48 indexed citations
14.
Kim, Jeonghan, Yoon Suk Kim, & Jesang Ko. (2009). CKβ8/CCL23 induces cell migration via the Gi/Go protein/PLC/PKCδ/NF-κB and is involved in inflammatory responses. Life Sciences. 86(9-10). 300–308. 24 indexed citations
15.
Jang, Sung‐Wuk, et al.. (2007). Regulation of Human LZIP Expression by NF-κB and Its Involvement in Monocyte Cell Migration Induced by Lkn-1. Journal of Biological Chemistry. 282(15). 11092–11100. 23 indexed citations
16.
Jang, Sung‐Wuk, Yoon Suk Kim, Young Han Lee, & Jesang Ko. (2006). Role of human LZIP in differential activation of the NF‐κB pathway that is induced by CCR1‐dependent chemokines. Journal of Cellular Physiology. 211(3). 630–637. 16 indexed citations
17.
Chung, Yeun Jun, Hae Myung Jeon, Hong Namkoong, et al.. (2006). HCCR-1–Interacting Molecule “Deleted in Polyposis 1” Plays a Tumor-Suppressor Role in Colon Carcinogenesis. Gastroenterology. 130(7). 2074–2086. 13 indexed citations
18.
Hong, Kyung Hee, Jin Hee Maeng, Jae Bum Kim, et al.. (2004). Overexpression of Uncoupling Protein 2 in THP1 Monocytes Inhibits β 2 Integrin-Mediated Firm Adhesion and Transendothelial Migration. Arteriosclerosis Thrombosis and Vascular Biology. 24(5). 864–870. 57 indexed citations
19.
Kim, In Sik, Sung-Wuk Jang, Ho Joong Sung, et al.. (2004). Differential effects of 9-cis retinoic acid on expression of CC chemokine receptors in human monocytes. Biochemical Pharmacology. 68(4). 611–620. 10 indexed citations
20.
Ko, Jesang, et al.. (2003). PKCδ‐dependent cleavage and nuclear translocation of annexin A1 by phorbol 12‐myristate 13‐acetate. European Journal of Biochemistry. 270(20). 4089–4094. 28 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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