Seong‐Gyu Ko

7.3k total citations
306 papers, 5.7k citations indexed

About

Seong‐Gyu Ko is a scholar working on Molecular Biology, Complementary and alternative medicine and Pharmacology. According to data from OpenAlex, Seong‐Gyu Ko has authored 306 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Molecular Biology, 64 papers in Complementary and alternative medicine and 57 papers in Pharmacology. Recurrent topics in Seong‐Gyu Ko's work include Natural product bioactivities and synthesis (30 papers), Traditional Chinese Medicine Studies (29 papers) and Healthcare and Venom Research (28 papers). Seong‐Gyu Ko is often cited by papers focused on Natural product bioactivities and synthesis (30 papers), Traditional Chinese Medicine Studies (29 papers) and Healthcare and Venom Research (28 papers). Seong‐Gyu Ko collaborates with scholars based in South Korea, United States and Japan. Seong‐Gyu Ko's co-authors include Yong Cheol Shin, Chunhoo Cheon, Bo-Hyoung Jang, Sung‐Gook Cho, Tae Woo Kim, Hyunsu Bae, Youn Kyung Choi, Sung‐Hoon Kim, Jin Mo Ku and Mia Kim and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Seong‐Gyu Ko

290 papers receiving 5.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seong‐Gyu Ko South Korea 39 2.6k 938 901 797 745 306 5.7k
Zhi‐Ling Yu Hong Kong 47 3.4k 1.3× 895 1.0× 782 0.9× 1.1k 1.3× 1.1k 1.5× 234 7.0k
Joen‐Rong Sheu Taiwan 43 2.1k 0.8× 846 0.9× 1.0k 1.1× 624 0.8× 534 0.7× 233 6.0k
Naghma Khan United States 45 3.0k 1.1× 733 0.8× 1.0k 1.1× 577 0.7× 1.2k 1.6× 82 8.5k
Jae‐Young Um South Korea 45 3.5k 1.3× 867 0.9× 759 0.8× 842 1.1× 824 1.1× 263 7.5k
Kyung‐Soo Chun South Korea 37 2.9k 1.1× 606 0.6× 960 1.1× 1.1k 1.4× 596 0.8× 101 5.8k
Yue Dai China 43 2.3k 0.9× 660 0.7× 582 0.6× 704 0.9× 432 0.6× 185 5.2k
Liang Liu Macao 47 3.6k 1.4× 1.3k 1.4× 1.1k 1.2× 1.5k 1.9× 526 0.7× 210 7.0k
Yu‐Chih Liang Taiwan 44 2.8k 1.1× 508 0.5× 879 1.0× 468 0.6× 812 1.1× 136 6.4k
Joydeb Kumar Kundu South Korea 43 3.0k 1.2× 548 0.6× 546 0.6× 886 1.1× 603 0.8× 83 5.8k
Eun‐Jung Park South Korea 49 4.5k 1.7× 495 0.5× 702 0.8× 590 0.7× 966 1.3× 253 8.6k

Countries citing papers authored by Seong‐Gyu Ko

Since Specialization
Citations

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

Fields of papers citing papers by Seong‐Gyu Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seong‐Gyu Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Seong‐Gyu Ko. A scholar is included among the top collaborators of Seong‐Gyu 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 Seong‐Gyu Ko. Seong‐Gyu 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.
Kang, Soo‐Yeon, et al.. (2025). Trichosanthes kirilowii Maxim. and Bioactive Compound Cucurbitacin D Alleviate Cisplatin-Induced Peripheral Neuropathy In Vitro and In Vivo. Integrative Cancer Therapies. 24. 1583654257–1583654257.
2.
Kim, Kyeong Han, et al.. (2025). Effectiveness of Bee Venom Injection for Parkinson’s Disease: A Systematic Review. Toxins. 17(4). 204–204. 1 indexed citations
3.
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Woo, Seon Rang, et al.. (2024). Prognostic Significance of SASP-Related Gene Signature of Radiation Therapy in Head and Neck Squamous Cell Carcinoma. Molecular Cancer Therapeutics. 23(9). 1348–1359. 1 indexed citations
5.
Kim, Ji‐Hyun, et al.. (2023). Current Characteristics of Herbal Medicine Interventions for Cancer on Clinical Databases: A Cross-Sectional Study. Integrative Cancer Therapies. 22. 1563533391–1563533391. 3 indexed citations
6.
Lee, Kangwook, et al.. (2021). Herbal Prescription SH003 Alleviates Docetaxel-Induced Neuropathic Pain in C57BL/6 Mice. Evidence-based Complementary and Alternative Medicine. 2021. 1–10. 16 indexed citations
7.
Jang, Bo-Hyoung, et al.. (2020). Implementing accountable care organizations with integrative medicine in Korean health care system. Integrative Medicine Research. 10(3). 100711–100711. 1 indexed citations
8.
Jang, Soobin, Ju Ah Lee, Bo-Hyoung Jang, et al.. (2019). Clinical Effectiveness of Traditional and Complementary Medicine Interventions in Combination with Nicotine Replacement Therapy on Smoking Cessation: A Randomized Controlled Pilot Trial. The Journal of Alternative and Complementary Medicine. 25(5). 526–534. 9 indexed citations
9.
Hwang, I-Hsuan, Ye‐Seul Lee, Shinn‐Jang Hwang, et al.. (2018). Utilization patterns of traditional medicine in Taiwan and South Korea by using national health insurance data in 2011. PLoS ONE. 13(12). e0208569–e0208569. 29 indexed citations
10.
Kim, Kyeong Han, Soobin Jang, Ju Ah Lee, et al.. (2018). Characteristics and Outcomes of Female Infertility Treatment Programs Using Traditional Medicine in Korea: A Multisite Analysis. The Journal of Alternative and Complementary Medicine. 24(6). 570–577. 4 indexed citations
11.
Lee, Kangwook, Sung‐Gook Cho, Sang‐Mi Woo, et al.. (2016). Danggui-Sayuk-Ga-Osuyu-Senggang-Tang ameliorates cold-induced vasoconstriction in vitro and in vivo. Molecular Medicine Reports. 14(5). 4723–4728. 5 indexed citations
12.
Kim, Kyeong Han, Ju Ah Lee, Jiae Choi, et al.. (2016). The Effect of Dangguijagyag-san on Mild Cognitive Impairment. The Journal of Alternative and Complementary Medicine. 22(7). 509–514. 11 indexed citations
13.
Park, Sunju, In‐Hwan Oh, Bo-Hyoung Jang, et al.. (2016). Utilization Patterns of Korean Medicine: An Analysis of the National Health Insurance Cohort Database from 2002 to 2013. The Journal of Alternative and Complementary Medicine. 22(10). 824–831.
14.
Ko, Seong‐Gyu, et al.. (2016). Angelica acutilobaKitagawa Extract Attenuates DSS-Induced Murine Colitis. Mediators of Inflammation. 2016. 1–13. 19 indexed citations
15.
Seo, Hye‐Sook, Jin Mo Ku, Jong Kyu Woo, et al.. (2015). Apigenin induces caspase-dependent apoptosis by inhibiting signal transducer and activator of transcription 3 signaling in HER2-overexpressing SKBR3 breast cancer cells. Molecular Medicine Reports. 12(2). 2977–2984. 62 indexed citations
16.
Yin, Chang Shik & Seong‐Gyu Ko. (2014). Introduction to the History and Current Status of Evidence‐Based Korean Medicine: A Unique Integrated System of Allopathic and Holistic Medicine. Evidence-based Complementary and Alternative Medicine. 2014(1). 740515–740515. 22 indexed citations
17.
Song, Yun-Kyung, et al.. (2013). Development of Questionnaire for Pattern Identification of Chronic Low Back Pain by Delphi Method. Journal of Korean Medicine Rehabilitation. 23(4). 143–158. 5 indexed citations
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Sun, Seung‐Ho, Seong‐Gyu Ko, & Yongsu Jeong. (2003). Effects of KanghwalSokdantang(KS) on LDL Oxidation in Macrophage Cell. The Journal of Internal Korean Medicine. 24(2). 203–212. 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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