Hee‐Chul Ko

1.5k total citations
47 papers, 1.3k citations indexed

About

Hee‐Chul Ko is a scholar working on Molecular Biology, Biochemistry and Plant Science. According to data from OpenAlex, Hee‐Chul Ko has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 19 papers in Biochemistry and 15 papers in Plant Science. Recurrent topics in Hee‐Chul Ko's work include Phytochemicals and Antioxidant Activities (19 papers), Bioactive Compounds in Plants (10 papers) and Adipose Tissue and Metabolism (9 papers). Hee‐Chul Ko is often cited by papers focused on Phytochemicals and Antioxidant Activities (19 papers), Bioactive Compounds in Plants (10 papers) and Adipose Tissue and Metabolism (9 papers). Hee‐Chul Ko collaborates with scholars based in South Korea, United States and Thailand. Hee‐Chul Ko's co-authors include Se‐Jae Kim, Seong‐Il Kang, Seon‐A Yoon, Joon‐Ho Hwang, Soo‐Youn Choi, Ji‐Gweon Park, Hye‐Sun Shin, Seung-Woo Kang, Hye‐Sun Shin and Jeong‐Hwan Kim and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Hee‐Chul Ko

45 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
Hee‐Chul Ko South Korea 20 527 472 377 190 166 47 1.3k
Jeong Sook Noh South Korea 23 563 1.1× 286 0.6× 264 0.7× 195 1.0× 138 0.8× 71 1.4k
Ruili Yang China 21 418 0.8× 352 0.7× 441 1.2× 355 1.9× 290 1.7× 43 1.5k
Mon‐Yuan Yang Taiwan 22 549 1.0× 351 0.7× 361 1.0× 150 0.8× 131 0.8× 38 1.5k
Jeehye Sung South Korea 22 466 0.9× 417 0.9× 453 1.2× 400 2.1× 252 1.5× 93 1.6k
Hongming Su China 18 444 0.8× 363 0.8× 243 0.6× 355 1.9× 122 0.7× 24 1.2k
Jianxin Cao China 21 485 0.9× 397 0.8× 390 1.0× 237 1.2× 137 0.8× 71 1.4k
Carmelina Filesi Italy 11 372 0.7× 563 1.2× 165 0.4× 203 1.1× 211 1.3× 12 1.3k
Jer‐An Lin Taiwan 22 413 0.8× 315 0.7× 270 0.7× 222 1.2× 131 0.8× 54 1.5k
Yukari Egashira Japan 20 632 1.2× 367 0.8× 273 0.7× 353 1.9× 329 2.0× 80 1.7k
Débora Esposito United States 26 561 1.1× 735 1.6× 407 1.1× 469 2.5× 334 2.0× 59 1.9k

Countries citing papers authored by Hee‐Chul Ko

Since Specialization
Citations

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

Fields of papers citing papers by Hee‐Chul Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hee‐Chul Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Hee‐Chul Ko. A scholar is included among the top collaborators of Hee‐Chul 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 Hee‐Chul Ko. Hee‐Chul 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.
Ko, Hee‐Chul, et al.. (2024). Anti-Obesity Effect of Jeju Roasted Citrus Peel Extract in High-Fat Diet-Induced Obese Mice and 3T3-L1 Adipocytes Via Lipid Metabolism Regulation. Journal of Medicinal Food. 27(4). 369–378. 1 indexed citations
2.
Kwon, Kwang An, et al.. (2024). Jeju Citrus (Citrus unshiu) Leaf Extract and Hesperidin Inhibit Small Intestinal α-Glucosidase Activities In Vitro and Postprandial Hyperglycemia in Animal Model. International Journal of Molecular Sciences. 25(24). 13721–13721. 3 indexed citations
3.
Ko, Hee‐Chul, et al.. (2022). Phytochemical content and antioxidant activity in eight citrus cultivars grown in Jeju Island according to harvest time. International Journal of Food Properties. 26(1). 14–23. 11 indexed citations
4.
Oh, Jung Min, et al.. (2021). Clerodendrum trichotomum extract improves metabolic derangements in high fructose diet-fed rats. Animal Cells and Systems. 25(6). 396–404. 6 indexed citations
5.
Ko, Hee‐Chul, et al.. (2021). Elucidation of phytochemicals and antioxidants properties ofSasa quelpaertensis. International Journal of Food Properties. 24(1). 210–221. 3 indexed citations
6.
Oh, Jung Min, et al.. (2020). Prevention of Hyperuricemia by Clerodendrum trichotomum Leaf Extract in Potassium Oxonate-Induced Mice. Development & Reproduction. 24(2). 89–100. 11 indexed citations
7.
Ko, Hee‐Chul, et al.. (2020). Effects of p-coumaric acid on microRNA expression profiles in SNU-16 human gastric cancer cells. Genes & Genomics. 42(7). 817–825. 30 indexed citations
8.
Ko, Hee‐Chul, et al.. (2019). 생쥐에서 제주조릿대 잎 잔사 추출물의 고요산 혈증 저감 효과. JoLS Journal of Life Sciences. 29(1). 37–44.
9.
Ko, Hee‐Chul, et al.. (2019). SNU-16 위암 세포주에서 p-coumaric acid의 세포성장 억제 효과. JoLS Journal of Life Sciences. 29(7). 809–816.
10.
Ko, Hee‐Chul, et al.. (2018). Sasa quelpaertensis leaf extract mitigates fatigue and regulates the transcriptome profile in mice. Genes & Genomics. 41(3). 317–324. 5 indexed citations
11.
Ko, Hee‐Chul, et al.. (2018). Anti-oxidant and Anti-inflammatory Potentials of Sasa quelpaertensis Leaf Residue Extracts. JoLS Journal of Life Sciences. 28(6). 738–744. 2 indexed citations
12.
Ko, Hee‐Chul, et al.. (2017). Anti-oxidant and Anti-inflammatory Properties of Clerodendrum trichotomum Leaf Extracts. JoLS Journal of Life Sciences. 27(6). 640–645. 3 indexed citations
13.
Kim, Jina, Yoo Sun Kim, Hyun Ah Lee, et al.. (2014). Sasa quelpaertensis Leaf Extract Improves High Fat Diet-Induced Lipid Abnormalities and Regulation of Lipid Metabolism Genes in Rats. Journal of Medicinal Food. 17(5). 571–581. 12 indexed citations
14.
Yoon, Seon‐A, Seong‐Il Kang, Hye‐Sun Shin, Hee‐Chul Ko, & Se‐Jae Kim. (2014). Anti-diabetic potential of a Sasa quelpaertensis Nakai extract in L6 skeletal muscle cells. Food Science and Biotechnology. 23(4). 1335–1339. 1 indexed citations
15.
Kang, Seung-Woo, Seong‐Il Kang, Hye‐Sun Shin, et al.. (2013). Sasa quelpaertensis Nakai extract and its constituent p-coumaric acid inhibit adipogenesis in 3T3-L1 cells through activation of the AMPK pathway. Food and Chemical Toxicology. 59. 380–385. 65 indexed citations
16.
Kang, Seong‐Il, Hye‐Sun Shin, Ji‐Gweon Park, et al.. (2010). A water-soluble extract of Petalonia binghamiae inhibits the expression of adipogenic regulators in 3T3-L1 preadipocytes and reduces adiposity and weight gain in rats fed a high-fat diet. The Journal of Nutritional Biochemistry. 21(12). 1251–1257. 35 indexed citations
17.
Park, Soo‐Young, Sun-Ryung Lee, Joon‐Ho Hwang, et al.. (2008). Sasa quelpaertensis Leaf Extracts Induce Apoptosis in Human Leukemia HL-60 Cells. Food Science and Biotechnology. 17(1). 188–190. 7 indexed citations
18.
19.
Hwang, Joon‐Ho, Soo‐Youn Choi, Hee‐Chul Ko, et al.. (2007). Anti-inflammatory Effect of the Hot Water Extract from Sasa quelpaertensis Leaves. Food Science and Biotechnology. 16(5). 728–733. 16 indexed citations
20.
Choi, Soo‐Youn, Joon‐Ho Hwang, Hee‐Chul Ko, et al.. (2006). Inhibitory Actiion of Tsunokaori Tangor Peel on The Lipopolysaccharide-Induced Inflammatory Response in RAW 264.7 Macrophage Cells. Food Science and Biotechnology. 15(2). 270–276. 2 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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