Yong-Kwan Cheong

1.4k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Yong-Kwan Cheong is a scholar working on Molecular Biology, Pharmacology and Epidemiology. According to data from OpenAlex, Yong-Kwan Cheong has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Epidemiology. Recurrent topics in Yong-Kwan Cheong's work include Heme Oxygenase-1 and Carbon Monoxide (5 papers), Autophagy in Disease and Therapy (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Yong-Kwan Cheong is often cited by papers focused on Heme Oxygenase-1 and Carbon Monoxide (5 papers), Autophagy in Disease and Therapy (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Yong-Kwan Cheong collaborates with scholars based in South Korea. Yong-Kwan Cheong's co-authors include Hyun‐Ock Pae, Hun‐Taeg Chung, Yong Son, Nam‐Ho Kim, Dae Gill Kang, Ju Hwan Lee, Sun‐Oh Jeong, Seong‐Hoon Park, Jong‐Moon Kim and Kyu‐Yun Chai and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Medicine and BioMed Research International.

In The Last Decade

Yong-Kwan Cheong

8 papers receiving 1.1k citations

Hit Papers

Mitogen-Activated Protein Kinases and Reactive Oxygen Spe... 2011 2026 2016 2021 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong-Kwan Cheong South Korea 7 510 145 117 111 99 8 1.2k
Sun Woo Jin South Korea 22 488 1.0× 135 0.9× 117 1.0× 125 1.1× 98 1.0× 57 1.1k
Suxia Sun China 18 450 0.9× 171 1.2× 79 0.7× 107 1.0× 74 0.7× 45 985
Sung‐Jin Kim South Korea 17 491 1.0× 182 1.3× 148 1.3× 104 0.9× 67 0.7× 25 1.2k
Amy H. Ponsford United Kingdom 5 660 1.3× 111 0.8× 133 1.1× 138 1.2× 87 0.9× 6 1.2k
Yan Yang China 20 602 1.2× 89 0.6× 107 0.9× 109 1.0× 84 0.8× 79 1.4k
Jiangzheng Liu China 19 575 1.1× 122 0.8× 139 1.2× 161 1.5× 116 1.2× 35 1.1k
Rufeng Ma China 16 657 1.3× 116 0.8× 89 0.8× 104 0.9× 113 1.1× 24 1.3k
Goran Poznanović Serbia 21 442 0.9× 128 0.9× 109 0.9× 87 0.8× 69 0.7× 82 1.1k
Mi‐Young Jeong South Korea 19 538 1.1× 202 1.4× 68 0.6× 164 1.5× 88 0.9× 35 1.1k
Venkateswaran Subramanian United States 24 438 0.9× 101 0.7× 103 0.9× 127 1.1× 86 0.9× 54 1.6k

Countries citing papers authored by Yong-Kwan Cheong

Since Specialization
Citations

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

Fields of papers citing papers by Yong-Kwan Cheong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong-Kwan Cheong. 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 Yong-Kwan Cheong. The network helps show where Yong-Kwan Cheong may publish in the future.

Co-authorship network of co-authors of Yong-Kwan Cheong

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

All Works

8 of 8 papers shown
1.
Jeong, Sun‐Oh, Yong Son, Ju Hwan Lee, et al.. (2017). Both nitric oxide and nitrite prevent homocysteine-induced endoplasmic reticulum stress and subsequent apoptosis via cGMP-dependent pathway in neuronal cells. Biochemical and Biophysical Research Communications. 493(1). 164–169. 12 indexed citations
2.
Kim, Yeon-Dong, et al.. (2016). Epidemiology of Postherpetic Neuralgia in Korea. Medicine. 95(14). e3304–e3304. 15 indexed citations
4.
Son, Yong, Ju Hwan Lee, Yong-Kwan Cheong, Hun‐Taeg Chung, & Hyun‐Ock Pae. (2013). Antidiabetic Potential of the Heme Oxygenase-1 Inducer Curcumin Analogues. BioMed Research International. 2013. 1–7. 15 indexed citations
5.
Son, Yong, Yong-Kwan Cheong, Nam‐Ho Kim, et al.. (2011). Mitogen-Activated Protein Kinases and Reactive Oxygen Species: How Can ROS Activate MAPK Pathways?. PubMed. 2011. 1–6. 959 indexed citations breakdown →
6.
Son, Young Min, Yong-Kwan Cheong, Nam‐Ho Kim, et al.. (2011). Okanin, a chalcone found in the genus Bidens, and 3-penten-2-one inhibit inducible nitric oxide synthase expression via heme oxygenase-1 induction in RAW264.7 macrophages activated with lipopolysaccharide. Journal of Clinical Biochemistry and Nutrition. 50(1). 53–58. 31 indexed citations
7.
Son, Yong, Yong-Kwan Cheong, Nam‐Ho Kim, et al.. (2011). An anticancer/cytotoxic activity of resveratrol is not hampered by its ability to induce the expression of the antioxidant/cytoprotective heme oxygenase-1 in RAW264.7 cells. Biomedicine & Preventive Nutrition. 1(2). 146–152. 4 indexed citations
8.
Kim, Ki Mo, Hyun‐Ock Pae, Kyu‐Yun Chai, et al.. (2008). Involvement of anti-inflammatory heme oxygenase-1 in the inhibitory effect of curcumin on the expression of pro-inflammatory inducible nitric oxide synthase in RAW264.7 macrophages. Biomedicine & Pharmacotherapy. 62(9). 630–636. 60 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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