Ho Jeong Kwon

11.8k total citations · 2 hit papers
204 papers, 7.3k citations indexed

About

Ho Jeong Kwon is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ho Jeong Kwon has authored 204 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Molecular Biology, 51 papers in Cancer Research and 33 papers in Oncology. Recurrent topics in Ho Jeong Kwon's work include Histone Deacetylase Inhibitors Research (29 papers), Cancer, Hypoxia, and Metabolism (29 papers) and Angiogenesis and VEGF in Cancer (24 papers). Ho Jeong Kwon is often cited by papers focused on Histone Deacetylase Inhibitors Research (29 papers), Cancer, Hypoxia, and Metabolism (29 papers) and Angiogenesis and VEGF in Cancer (24 papers). Ho Jeong Kwon collaborates with scholars based in South Korea, United States and Japan. Ho Jeong Kwon's co-authors include Joong Sup Shim, Hye Jin Jung, Kyu-Won Kim, Minoru Yoshida, Teruhiko Beppu, Hui‐Yun Hwang, Jin Hee Kim, You Mie Lee, Dasol Kim and Jong Shin Yoo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Ho Jeong Kwon

199 papers receiving 7.2k citations

Hit Papers

Histone deacetylases indu... 2001 2026 2009 2017 2001 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ho Jeong Kwon South Korea 44 5.0k 1.2k 948 773 591 204 7.3k
Yong‐Yeon Cho South Korea 54 5.1k 1.0× 1.0k 0.9× 1.5k 1.6× 578 0.7× 358 0.6× 268 8.6k
Frank Arfuso Australia 56 5.5k 1.1× 1.7k 1.4× 1.8k 1.9× 987 1.3× 550 0.9× 131 10.2k
Yasunari Takada United States 39 5.0k 1.0× 1.7k 1.4× 1.5k 1.6× 982 1.3× 448 0.8× 58 9.1k
François M. Vallette France 51 5.7k 1.1× 1.5k 1.2× 1.3k 1.4× 1.3k 1.6× 289 0.5× 178 9.2k
Ling Li China 45 3.7k 0.7× 1.1k 0.9× 1.1k 1.2× 636 0.8× 312 0.5× 304 7.0k
Zhiyu Li China 43 3.1k 0.6× 790 0.7× 974 1.0× 825 1.1× 755 1.3× 291 6.0k
A. Ivana Scovassi Italy 38 3.5k 0.7× 582 0.5× 1.6k 1.7× 654 0.8× 415 0.7× 139 5.4k
Dongmei Zhang China 43 3.5k 0.7× 892 0.7× 872 0.9× 664 0.9× 628 1.1× 202 6.3k
Shile Huang United States 55 5.3k 1.1× 1.1k 0.9× 1.3k 1.3× 672 0.9× 315 0.5× 177 9.7k
Shazib Pervaiz Singapore 58 5.9k 1.2× 1.5k 1.2× 1.3k 1.4× 358 0.5× 477 0.8× 176 9.9k

Countries citing papers authored by Ho Jeong Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Ho Jeong Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ho Jeong Kwon. 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 Ho Jeong Kwon. The network helps show where Ho Jeong Kwon may publish in the future.

Co-authorship network of co-authors of Ho Jeong Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Ho Jeong Kwon. A scholar is included among the top collaborators of Ho Jeong Kwon 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 Ho Jeong Kwon. Ho Jeong Kwon 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.
Tao, Shishi, Eun Ju Yang, Guanghui Zong, et al.. (2023). ER translocon inhibitor ipomoeassin F inhibits triple-negative breast cancer growth via blocking ER molecular chaperones. International Journal of Biological Sciences. 19(13). 4020–4035. 3 indexed citations
2.
Cho, Sung Min, et al.. (2021). Development of Novel VEGFR2 Inhibitors Originating from Natural Product Analogues with Antiangiogenic Impact. Journal of Medicinal Chemistry. 64(21). 15858–15867. 16 indexed citations
3.
Kim, Dasol, Hui‐Yun Hwang, Eun Sun Ji, et al.. (2021). Activation of mitochondrial TUFM ameliorates metabolic dysregulation through coordinating autophagy induction. Communications Biology. 4(1). 1–1. 182 indexed citations breakdown →
4.
Cho, Sung‐Min, et al.. (2021). Functional inhibition of fatty acid binding protein 4 ameliorates impaired ciliogenesis in GCs. Biochemical and Biophysical Research Communications. 539. 28–33. 4 indexed citations
5.
Ji, Eun Sun, Ju Yeon Lee, Jin Young Kim, et al.. (2020). DNA Polymerase Alpha Subunit B Is a Binding Protein for Erlotinib Resistance in Non-Small Cell Lung Cancer. Cancers. 12(9). 2613–2613. 8 indexed citations
6.
Hong, Ji Won, Jung Min Kim, Jeong Eun Kim, et al.. (2020). MiR-4435 is an UQCRB-related circulating miRNA in human colorectal cancer. Scientific Reports. 10(1). 2833–2833. 13 indexed citations
7.
Kim, Yonghyo, Jeovanis Gil, Indira Plá, et al.. (2020). Protein Expression in Metastatic Melanoma and the Link to Disease Presentation in a Range of Tumor Phenotypes. Cancers. 12(3). 767–767. 2 indexed citations
8.
Kim, Dasol, Hui‐Yun Hwang, & Ho Jeong Kwon. (2020). Targeting Autophagy In Disease: Recent Advances In Drug Discovery. Expert Opinion on Drug Discovery. 15(9). 1045–1063. 11 indexed citations
10.
Kim, Jinwoo, Mi‐Kyung Park, Jiwon Choi, et al.. (2019). Design, synthesis, and biological evaluation of novel pyrrolo[1,2-a]pyrazine derivatives. Bioorganic & Medicinal Chemistry Letters. 29(11). 1350–1356. 32 indexed citations
11.
Kim, Beom Seok, Kyeong Lee, Hye Jin Jung, Deepak Bhattarai, & Ho Jeong Kwon. (2015). HIF-1α suppressing small molecule, LW6, inhibits cancer cell growth by binding to calcineurin b homologous protein 1. Biochemical and Biophysical Research Communications. 458(1). 14–20. 24 indexed citations
12.
Jung, Hye Jin, et al.. (2014). A mutation in the mitochondrial protein UQCRB promotes angiogenesis through the generation of mitochondrial reactive oxygen species. Biochemical and Biophysical Research Communications. 455(3-4). 290–297. 31 indexed citations
13.
Kwon, Ho Jeong, et al.. (2008). Inhibition of histone deacetylase1 induces autophagy. Biochemical and Biophysical Research Communications. 369(4). 1179–1183. 82 indexed citations
14.
Kim, Hye Jin, Jin Hee Kim, Choong Hwan Lee, & Ho Jeong Kwon. (2006). Gentisyl Alcohol, an Antioxidant from Microbial Metabolite, Induces Angiogenesis In Vitro. Journal of Microbiology and Biotechnology. 16(3). 475–479. 5 indexed citations
15.
Kim, Dong Hoon, Joong Sup Shim, & Ho Jeong Kwon. (2005). Coordinated transcriptional regulation of calmegin, a testis-specific molecular chaperon, by histone deacetylase and CpG methyltransferase. Experimental & Molecular Medicine. 37(5). 492–496. 7 indexed citations
16.
Shim, Joong Sup & Ho Jeong Kwon. (2004). Chemical genetics for therapeutic target mining. Expert Opinion on Therapeutic Targets. 8(6). 653–661. 13 indexed citations
18.
Kwon, Ho Jeong, Jin Hee Kim, Hye Jin Jung, et al.. (2001). Anti-angiogenic activity of acalycixenolide E, a novel marine natural product from Acalycigorgia inermis. Journal of Microbiology and Biotechnology. 11(4). 656–662. 6 indexed citations
19.
Kwon, Ho Jeong, et al.. (2001). Production of Oleamide, a Functional Lipid, by Streptomyces sp. KK90378. Journal of Microbiology and Biotechnology. 11(6). 1018–1023. 10 indexed citations
20.
Yoo, Gyeol, et al.. (2000). Growth and Differentiation of Preadipocytes in Alginate and Collagen Gels. 27(4). 386–392. 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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