Ming‐Jen Fan

911 total citations
20 papers, 547 citations indexed

About

Ming‐Jen Fan is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Ming‐Jen Fan has authored 20 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Plant Science and 3 papers in Pharmacology. Recurrent topics in Ming‐Jen Fan's work include Cell death mechanisms and regulation (3 papers), Natural Antidiabetic Agents Studies (3 papers) and Bioactive Compounds and Antitumor Agents (2 papers). Ming‐Jen Fan is often cited by papers focused on Cell death mechanisms and regulation (3 papers), Natural Antidiabetic Agents Studies (3 papers) and Bioactive Compounds and Antitumor Agents (2 papers). Ming‐Jen Fan collaborates with scholars based in Taiwan, United States and Japan. Ming‐Jen Fan's co-authors include Jing‐Gung Chung, Jai‐Sing Yang, Wenwen Huang, Hsu‐Feng Lu, Jin‐Cherng Lien, Yu‐Jen Chiu, Po‐Yuan Chen, Shu‐Fen Peng, Hui‐Yi Lin and Yi‐Shih Ma and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Plant Cell & Environment and Journal of the Science of Food and Agriculture.

In The Last Decade

Ming‐Jen Fan

20 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Jen Fan Taiwan 15 325 127 97 55 46 20 547
Hyun Ju Kwon South Korea 13 290 0.9× 95 0.7× 88 0.9× 53 1.0× 33 0.7× 49 603
Stella S. Taddeo United States 9 323 1.0× 109 0.9× 135 1.4× 74 1.3× 78 1.7× 14 662
Pritam Bhagwan Bhosale South Korea 13 280 0.9× 96 0.8× 94 1.0× 82 1.5× 56 1.2× 37 592
Keiko Sakata Japan 14 357 1.1× 131 1.0× 109 1.1× 93 1.7× 81 1.8× 25 723
Sahar Behzad Iran 13 209 0.6× 166 1.3× 104 1.1× 75 1.4× 36 0.8× 23 582
Hun Hwan Kim South Korea 14 368 1.1× 115 0.9× 115 1.2× 105 1.9× 63 1.4× 44 742
Sook‐Hee Rhee South Korea 15 274 0.8× 89 0.7× 129 1.3× 39 0.7× 39 0.8× 40 700
Dae‐Seung Kim South Korea 14 314 1.0× 112 0.9× 66 0.7× 67 1.2× 62 1.3× 21 609
Preethi Vetrivel South Korea 17 422 1.3× 135 1.1× 110 1.1× 113 2.1× 65 1.4× 33 791
Faya Martin Millimouno China 5 348 1.1× 140 1.1× 70 0.7× 99 1.8× 76 1.7× 8 697

Countries citing papers authored by Ming‐Jen Fan

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Jen Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Jen Fan. 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 Ming‐Jen Fan. The network helps show where Ming‐Jen Fan may publish in the future.

Co-authorship network of co-authors of Ming‐Jen Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Jen Fan. A scholar is included among the top collaborators of Ming‐Jen Fan 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 Ming‐Jen Fan. Ming‐Jen Fan 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.
Tsai, Yu‐Hsiang, Jen‐Jyh Lin, Yi‐Shih Ma, et al.. (2019). Fisetin Inhibits Cell Proliferation through the Induction of G0/G1 Phase Arrest and Caspase-3-Mediated Apoptosis in Mouse Leukemia Cells. The American Journal of Chinese Medicine. 47(4). 841–863. 22 indexed citations
2.
Ma, Yi‐Shih, Jen‐Jyh Lin, Chin‐Chung Lin, et al.. (2018). Benzyl isothiocyanate inhibits human brain glioblastoma multiforme GBM 8401 cell xenograft tumor in nude mice in vivo. Environmental Toxicology. 33(11). 1097–1104. 22 indexed citations
3.
Fan, Ming‐Jen, et al.. (2017). Anthocyanins from black rice (Oryza sativa) promote immune responses in leukemia through enhancing phagocytosis of macrophages in vivo. Experimental and Therapeutic Medicine. 14(1). 59–64. 24 indexed citations
4.
Huang, Pei‐Chen, Guei‐Jane Wang, Ming‐Jen Fan, et al.. (2017). Cellular apoptosis and cardiac dysfunction in STZ‐induced diabetic rats attenuated by anthocyanins via activation of IGFI‐R/PI3K/Akt survival signaling. Environmental Toxicology. 32(12). 2471–2480. 32 indexed citations
5.
Chou, Han-Yu, Fu‐Shin Chueh, Yi‐Shih Ma, et al.. (2017). Bufalin induced apoptosis in SCC-4 human tongue cancer cells by decreasing Bcl-2 and increasing Bax expression via the mitochondria-dependent pathway. Molecular Medicine Reports. 16(6). 7959–7966. 22 indexed citations
6.
Wu, Hshin‐Ping, Fu‐Jin Wei, Cheng‐Chieh Wu, et al.. (2017). Large-scale phenomics analysis of a T-DNA tagged mutant population. GigaScience. 6(8). 1–7. 8 indexed citations
7.
Peng, Shu‐Fen, Ching‐Lung Liao, Kung‐Wen Lu, et al.. (2017). Casticin impairs cell growth and induces cell apoptosis via cell cycle arrest in human oral cancer SCC‐4 cells. Environmental Toxicology. 33(2). 127–141. 25 indexed citations
9.
Lo, Shuen‐Fang, Ming‐Jen Fan, Yue‐Ie Hsing, et al.. (2015). Genetic resources offer efficient tools for rice functional genomics research. Plant Cell & Environment. 39(5). 998–1013. 35 indexed citations
10.
Chang, Tung‐Ti, et al.. (2014). In Silico Insight into Potent of Anthocyanin Regulation of FKBP52 to Prevent Alzheimer’s Disease. Evidence-based Complementary and Alternative Medicine. 2014(1). 450592–450592. 9 indexed citations
11.
Pan, Chun, Chia‐Hua Tsai, Ming‐Jen Fan, et al.. (2013). Influence of different particle processing on hypocholesterolemic and antiatherogenic activities of yam (Dioscorea pseudojaponica) in cholesterol‐fed rabbit model. Journal of the Science of Food and Agriculture. 93(6). 1278–1283. 14 indexed citations
12.
Tsou, Mei‐Fen, Ni Tien, Chi‐Cheng Lu, et al.. (2011). Phenethyl isothiocyanate promotes immune responses in normal BALB/c mice, inhibits murine leukemia WEHI‐3 cells, and stimulates immunomodulations in vivo. Environmental Toxicology. 28(3). 127–136. 23 indexed citations
13.
Chung, Jing‐Gung, et al.. (2011). The Application of Molecular Markers to Identify Edible Fungi: A Case Study of Tremella Fuciformis. 213–220. 1 indexed citations
14.
Fan, Ming‐Jen, Su‐May Yu, Fu‐Jin Wei, et al.. (2010). Methods for Rice Phenomics Studies. Methods in molecular biology. 678. 129–138. 4 indexed citations
15.
Huang, Wenwen, Yu‐Jen Chiu, Ming‐Jen Fan, et al.. (2010). Kaempferol induced apoptosis via endoplasmic reticulum stress and mitochondria‐dependent pathway in human osteosarcoma U‐2 OS cells. Molecular Nutrition & Food Research. 54(11). 1585–1595. 141 indexed citations
16.
Su, Chin‐Cheng, Jai‐Sing Yang, Chi‐Cheng Lu, et al.. (2010). Curcumin inhibits human lung large cell carcinoma cancer tumour growth in a murine xenograft model. Phytotherapy Research. 24(2). 189–192. 30 indexed citations
17.
Fan, Ming‐Jen, et al.. (2009). Transgene-specific and event-specific molecular markers for characterization of transgenic papaya lines resistant to Papaya ringspot virus. Transgenic Research. 18(6). 971–986. 18 indexed citations
18.
Chiu, Chuan‐Sung, Jeng‐Shyan Deng, Ming‐Tsuen Hsieh, et al.. (2009). Yam (Dioscorea pseudojaponicaYamamoto) Ameliorates Cognition Deficit and Attenuates Oxidative Damage in Senescent Mice Induced by D-Galactose. The American Journal of Chinese Medicine. 37(5). 889–902. 26 indexed citations
19.
Sung, Hsien-Yi, Chun-Yi Kuo, Ming‐Jen Fan, et al.. (2005). Cloning and Characterization of a Plant Defensin VaD1 from Azuki Bean. Journal of Agricultural and Food Chemistry. 53(4). 982–988. 46 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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