Jeon‐Ok Moon

1.1k total citations
25 papers, 941 citations indexed

About

Jeon‐Ok Moon is a scholar working on Hepatology, Epidemiology and Pharmacology. According to data from OpenAlex, Jeon‐Ok Moon has authored 25 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hepatology, 12 papers in Epidemiology and 10 papers in Pharmacology. Recurrent topics in Jeon‐Ok Moon's work include Liver physiology and pathology (13 papers), Liver Disease Diagnosis and Treatment (12 papers) and Drug-Induced Hepatotoxicity and Protection (10 papers). Jeon‐Ok Moon is often cited by papers focused on Liver physiology and pathology (13 papers), Liver Disease Diagnosis and Treatment (12 papers) and Drug-Induced Hepatotoxicity and Protection (10 papers). Jeon‐Ok Moon collaborates with scholars based in South Korea, United States and Japan. Jeon‐Ok Moon's co-authors include Sik Yoon, Mi‐Hye Lee, Hae Young Chung, Eunsil Lee, Bo-Young Kim, Myung‐Hee Lee, Hae‐Young Chung, Jong-Hee Park, Bryan L. Copple and Hye‐Eun Lee and has published in prestigious journals such as The FASEB Journal, International Journal of Molecular Sciences and Oxidative Medicine and Cellular Longevity.

In The Last Decade

Jeon‐Ok Moon

25 papers receiving 898 citations

Peers

Jeon‐Ok Moon

PHARM

EPIDE

HEPAT

BIOCH

Laila A. Eissa Egypt

Halka Lotková Czechia

Cristina E. Carnovale Argentina

Sang Mi Shin South Korea

Jinyong Peng China

Runzhi Zhu China

Hongming Lv China

Víctor Pérez-Álvarez Mexico

Otto Kučera Czechia

Laila A. Eissa Egypt

Jeon‐Ok Moon

399 ×1.3

214 ×0.9

PHARM

236 ×1.0

EPIDE

169 ×1.0

HEPAT

42 ×0.4

BIOCH

Citations per year, relative to Jeon‐Ok Moon Jeon‐Ok Moon (= 1×) peers Laila A. Eissa

Countries citing papers authored by Jeon‐Ok Moon

Since Specialization

Citations

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

Fields of papers citing papers by Jeon‐Ok Moon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeon‐Ok Moon. 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 Jeon‐Ok Moon. The network helps show where Jeon‐Ok Moon may publish in the future.

Co-authorship network of co-authors of Jeon‐Ok Moon

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

All Works

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20 of 20 papers shown

Jung, Jin‐Woo, Jeon‐Ok Moon, Song Ih Ahn, & Haeseung Lee. (2024). Predicting antioxidant activity of compounds based on chemical structure using machine learning methods. Korean Journal of Physiology and Pharmacology. 28(6). 527–537. 7 indexed citations

Lee, Chang‐Yong, Sik Yoon, & Jeon‐Ok Moon. (2023). Kaempferol Suppresses Carbon Tetrachloride-Induced Liver Damage in Rats via the MAPKs/NF-κB and AMPK/Nrf2 Signaling Pathways. International Journal of Molecular Sciences. 24(8). 6900–6900. 18 indexed citations

Kim, Jihyun, Chang‐Yong Lee, Sang Gyun Noh, et al.. (2023). Integrative Transcriptomic Analysis Reveals Upregulated Apoptotic Signaling in Wound-Healing Pathway in Rat Liver Fibrosis Models. Antioxidants. 12(8). 1588–1588. 3 indexed citations

Lee, Chang‐Yong, Kyung Wook Kim, Nam Kyung Je, et al.. (2015). Hepatoprotective effects of zingerone on carbon tetrachloride- and dimethylnitrosamine-induced liver injuries in rats. Archives of Pharmacal Research. 39(2). 279–291. 34 indexed citations

Je, Nam Kyung, et al.. (2015). Oligonol Ameliorates CCl₄‐Induced Liver Injury in Rats via the NF‐Kappa B and MAPK Signaling Pathways. Oxidative Medicine and Cellular Longevity. 2016(1). 3935841–3935841. 41 indexed citations

Chung, Hae Young, et al.. (2013). Effect of sinapic acid against carbon tetrachloride-induced acute hepatic injury in rats. Archives of Pharmacal Research. 36(5). 626–633. 64 indexed citations

Chung, Hae Young, et al.. (2013). Effect of sinapic acid against dimethylnitrosamine-induced hepatic fibrosis in rats. Archives of Pharmacal Research. 36(5). 608–618. 53 indexed citations

Lee, Hae‐Young, et al.. (2013). Identification and analysis of expressed genes using a cDNA library from rat thymus during regeneration following cyclophosphamide-induced T cell depletion. International Journal of Molecular Medicine. 31(3). 731–739. 2 indexed citations

Copple, Bryan L., Shan Bai, & Jeon‐Ok Moon. (2010). Hypoxia‐inducible factor‐dependent production of profibrotic mediators by hypoxic Kupffer cells. Hepatology Research. 40(5). 530–539. 27 indexed citations

10.

Lee, Eunsil, et al.. (2010). Resveratrol inhibits dimethylnitrosamine-induced hepatic fibrosis in rats. Archives of Pharmacal Research. 33(6). 925–932. 68 indexed citations

11.

Yoon, Sik, et al.. (2010). The proanthocyanidins inhibit dimethylnitrosamine-induced liver damage in rats. Archives of Pharmacal Research. 33(1). 167–173. 38 indexed citations

12.

Copple, Bryan L., Juan J. Bustamante, Timothy P. Welch, Nam Deuk Kim, & Jeon‐Ok Moon. (2009). Hypoxia‐inducible factor‐dependent production of profibrotic mediators by hypoxic hepatocytes. Liver International. 29(7). 1010–1021. 72 indexed citations

13.

Lee, Hae‐Young, Mina Kim, Sung Min Kim, et al.. (2008). Nerve growth factor stimulates proliferation, adhesion and thymopoietic cytokine expression in mouse thymic epithelial cells in vitro. Regulatory Peptides. 147(1-3). 72–81. 15 indexed citations

14.

Welch, Timothy P., Juan J. Bustamante, Jeon‐Ok Moon, & Bryan L. Copple. (2008). Hypoxia‐inducible Factor‐dependent Production of Profibrotic Mediators by Hypoxic Hepatocytes. The FASEB Journal. 22(S1). 1 indexed citations

15.

Copple, Bryan L. & Jeon‐Ok Moon. (2008). Role Hypoxia‐inducible Factor‐1 α in the Development of Liver Fibrosis. The FASEB Journal. 22(S1). 1 indexed citations

16.

Lee, Hae‐Young, Sung‐Min Kim, Soo‐Kyung Bae, et al.. (2007). Expression of nerve growth factor is upregulated in the rat thymic epithelial cells during thymus regeneration following acute thymic involution. Regulatory Peptides. 141(1-3). 86–95. 12 indexed citations

17.

Lee, Tae Young, Hwajeong Kim, Jeon‐Ok Moon, & Yoon‐Bo Shim. (2004). Determination of Cytochrome C with Cellulose – DNA Modified Carbon Paste Electrodes. Electroanalysis. 16(10). 821–826. 24 indexed citations

18.

Lee, Mi‐Hye, Sik Yoon, & Jeon‐Ok Moon. (2004). The Flavonoid Naringenin Inhibits Dimethylnitrosamine-Induced Liver Damage in Rats. Biological and Pharmaceutical Bulletin. 27(1). 72–76. 138 indexed citations

19.

Lee, Eunsil, et al.. (2003). The flavonoid quercetin inhibits dimethylnitrosamine-induced liver damage in rats. Journal of Pharmacy and Pharmacology. 55(8). 1169–1174. 81 indexed citations

20.

Moon, Jeon‐Ok, et al.. (1998). Hepatoprotective Effect of Fe-TPEN on Carbon Tetrachloride Induced Liver Injury in Rats.. Biological and Pharmaceutical Bulletin. 21(3). 284–288. 11 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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