Fandi Meng

1.2k total citations
45 papers, 915 citations indexed

About

Fandi Meng is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Fandi Meng has authored 45 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Cancer Research and 10 papers in Surgery. Recurrent topics in Fandi Meng's work include MicroRNA in disease regulation (9 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers) and Circular RNAs in diseases (7 papers). Fandi Meng is often cited by papers focused on MicroRNA in disease regulation (9 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers) and Circular RNAs in diseases (7 papers). Fandi Meng collaborates with scholars based in China and United States. Fandi Meng's co-authors include Jichao Wei, Yong Wan, Qifei Wu, Ming‐Hui Tai, Kai Qu, Qinhong Xu, Ganghua Yang, Kai Qu, Lin Wang and Xinsen Xu and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Molecules.

In The Last Decade

Fandi Meng

42 papers receiving 905 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fandi Meng China 17 564 332 157 137 105 45 915
Alvin Wei Tian Ng Singapore 10 429 0.8× 330 1.0× 102 0.6× 160 1.2× 94 0.9× 15 1.0k
Yau-Tuen Chan Hong Kong 15 713 1.3× 355 1.1× 186 1.2× 185 1.4× 42 0.4× 26 1.1k
Xuanfu Xu China 14 470 0.8× 243 0.7× 76 0.5× 186 1.4× 75 0.7× 25 820
Yongdong Niu China 16 414 0.7× 159 0.5× 93 0.6× 222 1.6× 82 0.8× 43 890
Kurt W. Fisher United States 18 423 0.8× 160 0.5× 97 0.6× 248 1.8× 72 0.7× 44 839
Sha Huang China 20 424 0.8× 174 0.5× 195 1.2× 147 1.1× 119 1.1× 39 971
Hoi-Wing Leung Hong Kong 15 478 0.8× 292 0.9× 78 0.5× 137 1.0× 40 0.4× 22 782
Ming Bai China 16 464 0.8× 291 0.9× 168 1.1× 242 1.8× 114 1.1× 57 839
Xiang Zhou China 22 618 1.1× 366 1.1× 211 1.3× 193 1.4× 124 1.2× 57 1.2k

Countries citing papers authored by Fandi Meng

Since Specialization
Citations

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

Fields of papers citing papers by Fandi Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fandi Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Fandi Meng. A scholar is included among the top collaborators of Fandi Meng 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 Fandi Meng. Fandi Meng 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.
Huang, Shicong, Yi Nan, Guoqing Chen, et al.. (2023). The Role and Mechanism of Perilla frutescens in Cancer Treatment. Molecules. 28(15). 5883–5883. 18 indexed citations
2.
3.
Meng, Fandi, et al.. (2023). Multi-Objective Optimization of Land Use in the Beijing–Tianjin–Hebei Region of China Based on the GMOP-PLUS Coupling Model. Sustainability. 15(5). 3977–3977. 15 indexed citations
4.
Liu, Qian, Ying Xie, Jie Wei, et al.. (2023). Klotho/FGF23 Axis Regulates Cardiomyocyte Apoptosis and Cytokine Release through ERK/MAPK Pathway. Cardiovascular Toxicology. 23(9-10). 317–328. 9 indexed citations
5.
Li, Xia, Ning Na, Guoqing Chen, et al.. (2023). MiR-204-3p overexpression inhibits gastric carcinoma cell proliferation by inhibiting the MAPK pathway and RIP1/MLK1 necroptosis pathway to promote apoptosis. World Journal of Gastroenterology. 29(29). 4542–4556. 7 indexed citations
6.
Meng, Fandi, et al.. (2023). Anti-tumor effect of coix seed based on the theory of medicinal and food homology. World Journal of Clinical Oncology. 14(12). 593–605. 7 indexed citations
7.
Chen, Guoqing, Yi Nan, Ning Na, et al.. (2023). Research progress of ginger in the treatment of gastrointestinal tumors. World Journal of Gastrointestinal Oncology. 15(11). 1835–1851. 11 indexed citations
8.
Yang, Ganghua, Qinhong Xu, Yong Wan, et al.. (2021). miR-193a-3p Enhanced the Chemosensitivity to Trametinib in Gallbladder Carcinoma by Targeting KRAS and Downregulating ERK Signaling. Cancer Biotherapy and Radiopharmaceuticals. 38(6). 371–379. 6 indexed citations
9.
Yang, Ganghua, Qinhong Xu, Yong Wan, et al.. (2021). Circ-CSPP1 knockdown suppresses hepatocellular carcinoma progression through miR-493-5p releasing-mediated HMGB1 downregulation. Cellular Signalling. 86. 110065–110065. 30 indexed citations
10.
Wang, Zhixin, Kai Qu, Li Ren, et al.. (2021). Apaf1 nanoLuc biosensors identified lentinan as a potent synergizer of cisplatin in targeting hepatocellular carcinoma cells. Biochemical and Biophysical Research Communications. 577. 45–51. 7 indexed citations
11.
Xu, Qinhong, Lijing Zhou, Ganghua Yang, et al.. (2020). Overexpression of circ_0001445 decelerates hepatocellular carcinoma progression by regulating miR-942-5p/ALX4 axis. Biotechnology Letters. 42(12). 2735–2747. 13 indexed citations
12.
Zhang, Jingyao, Sidong Song, Qing Pang, et al.. (2015). Serotonin Deficiency Exacerbates Acetaminophen-Induced Liver Toxicity In Mice. Scientific Reports. 5(1). 8098–8098. 29 indexed citations
13.
Yu, Ming‐Lung, Zheng Tang, Fandi Meng, et al.. (2015). Elevated expression of FoxM1 promotes the tumor cell proliferation in hepatocellular carcinoma. Tumor Biology. 37(1). 1289–1297. 30 indexed citations
14.
Wei, Jichao, Fandi Meng, Kai Qu, et al.. (2015). Sorafenib inhibits proliferation and invasion of human hepatocellular carcinoma cells via up-regulation of p53 and suppressing FoxM1. Acta Pharmacologica Sinica. 36(2). 241–251. 82 indexed citations
15.
Meng, Fandi. (2015). FoxM1 overexpression promotes epithelial-mesenchymal transition and metastasis of hepatocellular carcinoma. World Journal of Gastroenterology. 21(1). 196–196. 63 indexed citations
16.
Zhang, Lingqiang, Jia Xu, Yong Wan, et al.. (2013). Potential Therapeutic Targets for the Primary Gallbladder Carcinoma: Estrogen Receptors. Asian Pacific Journal of Cancer Prevention. 14(4). 2185–2190. 10 indexed citations
17.
Tian, Feng, Chang Liu, Qifei Wu, et al.. (2013). Upregulation of Glycoprotein Nonmetastatic B by Colony-Stimulating Factor-1 and Epithelial Cell Adhesion Molecule in Hepatocellular Carcinoma Cells. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 20(8). 341–350. 17 indexed citations
18.
Zhou, Lei, Chang Liu, Fandi Meng, et al.. (2012). Long-term Prognosis in Hepatocellular Carcinoma Patients after Hepatectomy. Asian Pacific Journal of Cancer Prevention. 13(2). 483–486. 14 indexed citations
19.
Xu, Jia, Chang Liu, Lei Zhou, et al.. (2012). Distinctions Between Clinicopathological Factors and Prognosis of Alpha-fetoprotein Negative and Positive Hepatocelluar Carcinoma Patients. Asian Pacific Journal of Cancer Prevention. 13(2). 559–562. 26 indexed citations
20.
Zhou, Lei, Fandi Meng, Qifei Wu, et al.. (2011). Exploration on Surgical-Related Factors Influencing HCC Patients Prognosis. Hepatogastroenterology. 59(117). 1541–3. 6 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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