Goya Choi

1.7k total citations
104 papers, 1.3k citations indexed

About

Goya Choi is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Goya Choi has authored 104 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 44 papers in Plant Science and 19 papers in Pharmacology. Recurrent topics in Goya Choi's work include Phytochemistry and Biological Activities (21 papers), Natural product bioactivities and synthesis (15 papers) and Food Quality and Safety Studies (12 papers). Goya Choi is often cited by papers focused on Phytochemistry and Biological Activities (21 papers), Natural product bioactivities and synthesis (15 papers) and Food Quality and Safety Studies (12 papers). Goya Choi collaborates with scholars based in South Korea, South Africa and Uganda. Goya Choi's co-authors include Byeong Cheol Moon, Ho Kyoung Kim, A Yeong Lee, Sungyu Yang, Taesook Yoon, Byung-Kil Choo, Doyeon Lee, Myeong Sook Cheon, Wook Jin Kim and Jun‐Ho Song 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

Goya Choi

96 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Goya Choi South Korea 21 623 388 172 161 158 104 1.3k
Young‐Kyoon Kim South Korea 25 621 1.0× 510 1.3× 230 1.3× 159 1.0× 151 1.0× 69 1.6k
Raimundo Gonçalves de Oliveira Júnior Brazil 22 452 0.7× 359 0.9× 278 1.6× 160 1.0× 144 0.9× 83 1.4k
Dae Joong Kim South Korea 20 474 0.8× 337 0.9× 194 1.1× 62 0.4× 84 0.5× 46 1.3k
Anna Pick Kiong Ling Malaysia 20 707 1.1× 536 1.4× 144 0.8× 175 1.1× 91 0.6× 71 1.6k
Hyun‐Na Koo South Korea 21 514 0.8× 504 1.3× 88 0.5× 77 0.5× 89 0.6× 86 1.3k
Günter Seelinger Germany 10 401 0.6× 283 0.7× 129 0.8× 83 0.5× 105 0.7× 12 1.3k
Tzi‐Bun Ng Hong Kong 24 712 1.1× 484 1.2× 108 0.6× 185 1.1× 181 1.1× 54 1.7k
Xiuting Yu China 18 497 0.8× 279 0.7× 220 1.3× 67 0.4× 186 1.2× 25 1.2k
Fangli Ma China 26 753 1.2× 405 1.0× 263 1.5× 139 0.9× 152 1.0× 66 1.6k
Kyungsu Kang South Korea 23 817 1.3× 300 0.8× 162 0.9× 85 0.5× 134 0.8× 77 1.6k

Countries citing papers authored by Goya Choi

Since Specialization
Citations

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

Fields of papers citing papers by Goya Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Goya Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Goya Choi. A scholar is included among the top collaborators of Goya Choi 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 Goya Choi. Goya Choi 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.
2.
Seo, Yun‐Soo, Jun‐Ho Song, Hyo Seon Kim, et al.. (2024). An Integrative Study of Scrophularia takesimensis Nakai in an Ovalbumin-Induced Murine Model of Asthma: The Effect on T Helper 2 Cell Activation. Pharmaceutics. 16(4). 529–529. 1 indexed citations
3.
Yang, Sungyu, et al.. (2021). Comparative Floral and Pollen Micromorphology of Leonurus japonicus and L. macranthus (Lamiaceae). Diversity. 13(11). 533–533. 4 indexed citations
4.
Park, Gunhyuk, Byeong Cheol Moon, Goya Choi, & Hye-Sun Lim. (2021). Cera Flava Alleviates Atopic Dermatitis by Activating Skin Barrier Function via Immune Regulation. International Journal of Molecular Sciences. 22(14). 7531–7531. 8 indexed citations
5.
Kim, Wook Jin, et al.. (2021). PCR-based rapid diagnostic tools for the authentication of medicinal mistletoe species. Phytomedicine. 91. 153667–153667. 17 indexed citations
6.
Kim, Wook Jin, et al.. (2020). Rapid and Simple Species Identification of Cicada Exuviae Using COI-Based SCAR Assay. Insects. 11(3). 168–168. 10 indexed citations
7.
Trinh, Tuy An, Seung Mok Ryu, Hyo Seon Kim, et al.. (2020). Chemical Constituents from the Aerial Parts of Elsholtzia ciliata and Their Protective Activities on Glutamate-Induced HT22 Cell Death. Journal of Natural Products. 83(10). 3149–3155. 14 indexed citations
8.
Ryu, Seung Mok, Goya Choi, Byeong Cheol Moon, et al.. (2019). Chemical Constituents from the Aerial Parts of Agastache rugosa and Their Inhibitory Activities on Prostaglandin E2 Production in Lipopolysaccharide-Treated RAW 264.7 Macrophages. Journal of Natural Products. 82(12). 3379–3385. 20 indexed citations
9.
Kim, Young‐Sik, et al.. (2019). Comparative study of external-intenal morphological shape in origins and hybrids for Glycyrrhizae Radix et Rhizoma. The Korea Journal of Herbology. 34(5). 1–12. 1 indexed citations
10.
Lim, Hye‐Sun, Joong‐Sun Kim, Byeong Cheol Moon, et al.. (2019). Cicadidae Periostracum, the Cast-Off Skin of Cicada, Protects Dopaminergic Neurons in a Model of Parkinson’s Disease. Oxidative Medicine and Cellular Longevity. 2019. 1–17. 20 indexed citations
11.
Lee, Kyungjin, et al.. (2019). Global Comparison of Stability Testing Parameters and Testing Methods for Finished Herbal Products. Evidence-based Complementary and Alternative Medicine. 2019. 1–14. 12 indexed citations
12.
Kim, Young Hwa, A‐Rang Im, Bo-Kyung Park, et al.. (2018). Antidepressant-Like and Neuroprotective Effects of Ethanol Extract from the Root Bark of Hibiscus syriacus L.. BioMed Research International. 2018. 1–13. 24 indexed citations
13.
Lee, A Yeong, Hyo Seon Kim, Goya Choi, Young Min Kang, & Ho Kyoung Kim. (2015). Optimization of Ultrasonic-Assisted Extraction of Daurisoline and Dauricine from Menispermi Rhizoma by Response Surface Methodology. Journal of Liquid Chromatography & Related Technologies. 38(16). 1561–1570. 3 indexed citations
14.
15.
Lee, Mi Young, Hyojun Kim, Sungwook Chae, et al.. (2013). Anti-aging activity of Korean pine ( Pinus koraiensis ) leaf extracts demonstrated through the induction of mitochondrial biogenesis in mice. Journal of Medicinal Plants Research. 7(25). 1833–1838. 1 indexed citations
16.
Kim, Younghwa, Goya Choi, Byoung‐Seob Ko, et al.. (2011). PCR Analysis for the Discrimination of Leonuri Herba Medicine on the Basis of Chloroplast DNA Sequence Comparison in Six Lamiaceae Species. The Korea Journal of Herbology. 26(3). 15–21.
17.
Kim, Youngsik, et al.. (2011). A Study of Cutting Methods by Comparing the Contents of Cinnamic acid and Cinnamaldehyde in Different Parts of Cinnamomi Ramulus. The Korea Journal of Herbology. 26(2). 11–15. 2 indexed citations
18.
Choi, Goya, Young‐Hwa Kim, Sungwook Chae, et al.. (2011). Discrimination of Chinese Glycyrrhiza uralensis and Uzbek Glycyrrhiza glabra Using Taste Sensor. The Korea Journal of Herbology. 26(1). 35–39. 1 indexed citations
19.
Yoon, Taesook, et al.. (2009). Comparative Study of Extracts from Rhubarb on Inflammatory Activity in Raw 264.7 Cells. Korean Journal of Medicinal Crop Science. 17(2). 109–114. 10 indexed citations
20.
Choi, Goya, et al.. (2008). Synergistic Effect of Notopterygium incisum and Saposhnikovia divaricata in the Anti-inflammatory Activity. The Korea Journal of Herbology. 23(4). 39–44. 3 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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