Kyeong-Mi Choi

630 total citations
18 papers, 509 citations indexed

About

Kyeong-Mi Choi is a scholar working on Molecular Biology, Pharmacology and Epidemiology. According to data from OpenAlex, Kyeong-Mi Choi has authored 18 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Pharmacology and 4 papers in Epidemiology. Recurrent topics in Kyeong-Mi Choi's work include Metabolism, Diabetes, and Cancer (6 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Sphingolipid Metabolism and Signaling (4 papers). Kyeong-Mi Choi is often cited by papers focused on Metabolism, Diabetes, and Cancer (6 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Sphingolipid Metabolism and Signaling (4 papers). Kyeong-Mi Choi collaborates with scholars based in South Korea and Japan. Kyeong-Mi Choi's co-authors include Hwan‐Soo Yoo, Mi Kyeong Lee, Lee younsun, Yeo‐Pyo Yun, Yong-Moon Lee, Jin Tae Hong, Bang Yeon Hwang, Jin‐Tae Hong, Chong‐Kil Lee and Ji‐Yeon Yu and has published in prestigious journals such as Molecules, Nutrients and Journal of Natural Products.

In The Last Decade

Kyeong-Mi Choi

17 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyeong-Mi Choi South Korea	12	310	100	84	71	69	18	509
Tina Blažević Austria	8	342 1.1×	109 1.1×	82 1.0×	60 0.8×	89 1.3×	9	654
Sang Gwon Seo South Korea	15	241 0.8×	148 1.5×	121 1.4×	68 1.0×	51 0.7×	21	628
Na-Hyun Kim South Korea	14	174 0.6×	65 0.7×	59 0.7×	86 1.2×	64 0.9×	47	496
Bùi Thanh Tùng Vietnam	12	168 0.5×	108 1.1×	71 0.8×	50 0.7×	35 0.5×	56	479
Martina S. Savova Bulgaria	10	286 0.9×	124 1.2×	81 1.0×	81 1.1×	59 0.9×	21	625
Filip Vlavcheski Canada	14	242 0.8×	167 1.7×	88 1.0×	54 0.8×	128 1.9×	18	605
Kengo Kawasaki Japan	15	429 1.4×	157 1.6×	91 1.1×	99 1.4×	105 1.5×	22	729
Zeqin Lian China	14	211 0.7×	90 0.9×	118 1.4×	36 0.5×	50 0.7×	22	527
JongWook Kang South Korea	14	243 0.8×	148 1.5×	110 1.3×	113 1.6×	85 1.2×	19	682
Nair Seiko Yamamoto Brazil	16	298 1.0×	100 1.0×	73 0.9×	52 0.7×	116 1.7×	36	617

Countries citing papers authored by Kyeong-Mi Choi

Since Specialization

Citations

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

Fields of papers citing papers by Kyeong-Mi Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyeong-Mi Choi

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

All Works

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18 of 18 papers shown

Choi, Kyeong-Mi & Hwan‐Soo Yoo. (2019). Amelioration of Hyperglycemia-Induced Nephropathy by 3,3′-Diindolylmethane in Diabetic Mice. Molecules. 24(24). 4474–4474. 14 indexed citations

Choi, Kyeong-Mi, et al.. (2017). Allium Hookeri Extract Enhances Glucose Uptake through GLUT4 Up-regulation in 3T3-L1 Cells. Journal of Life Science. 27(3). 289–294.

Lee, Anna, Kyeong-Mi Choi, Hee-Jin Jeong, et al.. (2017). Enhancement of Glucose Uptake by Meso-Dihydroguaiaretic Acid through GLUT4 Up-Regulation in 3T3-L1 Adipocytes. Molecules. 22(9). 1423–1423. 11 indexed citations

Choi, Kyeong-Mi, et al.. (2016). Dodeca-2(E),4(E)-dienoic acid isobutylamide enhances glucose uptake in 3T3-L1 cells via activation of Akt signaling. Molecular and Cellular Biochemistry. 426(1-2). 9–15. 4 indexed citations

Jo, Yang Hee, Kyeong-Mi Choi, Qing Liu, et al.. (2015). Anti-Obesity Effect of 6,8-Diprenylgenistein, an Isoflavonoid of Cudrania tricuspidata Fruits in High-Fat Diet-Induced Obese Mice. Nutrients. 7(12). 10480–10490. 39 indexed citations

Choi, Kyeong-Mi, Anna Lee, Yong‐Gil Kim, et al.. (2014). Xanthigen attenuates high-fat diet-induced obesity through down-regulation of PPARγ and activation of the AMPK pathway. Food Science and Biotechnology. 23(3). 931–935. 16 indexed citations

Choi, Kyeong-Mi, Lee younsun, Seung-Jung Kim, et al.. (2013). Sulforaphane attenuates obesity by inhibiting adipogenesis and activating the AMPK pathway in obese mice. The Journal of Nutritional Biochemistry. 25(2). 201–207. 128 indexed citations

younsun, Lee, Kyeong-Mi Choi, Yong‐Moon Lee, et al.. (2013). Hinokitiol Inhibits Cell Growth through Induction of S-Phase Arrest and Apoptosis in Human Colon Cancer Cells and Suppresses Tumor Growth in a Mouse Xenograft Experiment. Journal of Natural Products. 76(12). 2195–2202. 56 indexed citations

younsun, Lee, Kyeong-Mi Choi, Yong-Moon Lee, et al.. (2012). Quantitative Analysis of Sphingomyelin by High-Performance Liquid Chromatography after Enzymatic Hydrolysis. Evidence-based Complementary and Alternative Medicine. 2012. 1–9. 11 indexed citations

10.

Ahn, Jong Hoon, Qing Liu, Seon Beom Kim, et al.. (2012). Secoiridoids from the stem barks ofFraxinus rhynchophyllawith pancreatic lipase inhibitory activity. Natural Product Research. 27(12). 1132–1135. 24 indexed citations

11.

younsun, Lee, Kyeong-Mi Choi, Seung‐Hyun Lee, et al.. (2012). Myriocin, a serine palmitoyltransferase inhibitor, suppresses tumor growth in a murine melanoma model by inhibiting de novo sphingolipid synthesis. Cancer Biology & Therapy. 13(2). 92–100. 39 indexed citations

12.

Choi, Kyeong-Mi, Lee younsun, Dong‐Mi Shin, et al.. (2012). Green tomato extract attenuates high-fat-diet-induced obesity through activation of the AMPK pathway in C57BL/6 mice. The Journal of Nutritional Biochemistry. 24(1). 335–342. 47 indexed citations

13.

Choi, Kyeong-Mi, Lee younsun, Ji‐Yeon Yu, et al.. (2012). Rhamnetin-induced suppression of clonal expansion during early stage of adipogenesis. Archives of Pharmacal Research. 35(6). 1083–1089. 9 indexed citations

14.

Choi, Kyeong-Mi, et al.. (2012). Improvement of High-fat Diet-induced Obesity by Xanthigen in C57BL/6N Mice. Journal of Life Science. 22(12). 1697–1703. 3 indexed citations

15.

Choi, Kyeong-Mi, et al.. (2011). Hydroxyframoside B, a Secoiridoid ofFraxinus rhynchophylla, Inhibits Adipocyte Differentiation in 3T3-L1 Cells. Planta Medica. 77(10). 1020–1023. 13 indexed citations

16.

Choi, Kyeong-Mi, Lee younsun, Seung‐Hyun Lee, et al.. (2011). Inverse Relationship between Adipocyte Differentiation and Ceramide Level in 3T3-L1 Cells. Biological and Pharmaceutical Bulletin. 34(6). 912–916. 12 indexed citations

17.

Choi, Kyeong-Mi, et al.. (2010). Inhibitory Effects of Coumarins from the Stem Barks of <i>Fraxinus rhynchophylla</i> on Adipocyte Differentiation in 3T3-L1 Cells. Biological and Pharmaceutical Bulletin. 33(9). 1610–1614. 76 indexed citations

18.

younsun, Lee, Kyeong-Mi Choi, Jae‐Myung Yoo, et al.. (2009). Simultaneous HPLC analysis of ceramide and dihydroceramide in human hairs. Archives of Pharmacal Research. 32(12). 1795–1801. 7 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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