Fanling Meng

797 total citations
34 papers, 599 citations indexed

About

Fanling Meng is a scholar working on Molecular Biology, Cancer Research and Reproductive Medicine. According to data from OpenAlex, Fanling Meng has authored 34 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 14 papers in Cancer Research and 6 papers in Reproductive Medicine. Recurrent topics in Fanling Meng's work include Cancer-related molecular mechanisms research (11 papers), Ubiquitin and proteasome pathways (7 papers) and Epigenetics and DNA Methylation (6 papers). Fanling Meng is often cited by papers focused on Cancer-related molecular mechanisms research (11 papers), Ubiquitin and proteasome pathways (7 papers) and Epigenetics and DNA Methylation (6 papers). Fanling Meng collaborates with scholars based in China, United States and Greece. Fanling Meng's co-authors include Xiuwei Chen, Yunduo Liu, Rouli Zhou, Mingzhu Yin, Ge Lou, Hongtao Song, Shanshan Yang, Ge Lou, Ge Lou and Bairong Xia and has published in prestigious journals such as Cancer, Small and International Journal of Cancer.

In The Last Decade

Fanling Meng

32 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fanling Meng China 15 444 154 118 75 55 34 599
Tianshui Sun China 9 456 1.0× 179 1.2× 137 1.2× 30 0.4× 18 0.3× 14 556
Martin Hellriegel Germany 8 227 0.5× 62 0.4× 104 0.9× 39 0.5× 30 0.5× 15 372
Todd Boren United States 9 431 1.0× 334 2.2× 114 1.0× 24 0.3× 111 2.0× 22 635
Shuyun Yang China 15 383 0.9× 136 0.9× 139 1.2× 69 0.9× 21 0.4× 18 490
Andrea Milić Canada 9 275 0.6× 71 0.5× 221 1.9× 43 0.6× 24 0.4× 10 557
Grazia Palomba Italy 17 347 0.8× 248 1.6× 229 1.9× 24 0.3× 38 0.7× 41 660
Victoria Heredia-Soto Spain 11 158 0.4× 124 0.8× 176 1.5× 21 0.3× 57 1.0× 37 436
Mitsuyo Yoshida Japan 12 167 0.4× 108 0.7× 121 1.0× 30 0.4× 60 1.1× 20 354
Xiangyan Jiang China 12 203 0.5× 83 0.5× 159 1.3× 29 0.4× 26 0.5× 26 409

Countries citing papers authored by Fanling Meng

Since Specialization
Citations

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

Fields of papers citing papers by Fanling Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanling Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Fanling Meng. A scholar is included among the top collaborators of Fanling 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 Fanling Meng. Fanling 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.
Li, Jiajia, Xiaoping Yang, Di Qin, et al.. (2025). Instantaneous Self‐Healing Chitosan Hydrogels with Enhanced Drug Leakage Resistance for Infected Stretchable Wounds Healing. Small. 21(11). e2409641–e2409641. 7 indexed citations
2.
Zhang, Yibo, Lili Zhuo, Kaidi Sun, et al.. (2024). Prediction of prognosis and treatment response in ovarian cancer patients from histopathology images using graph deep learning: a multicenter retrospective study. European Journal of Cancer. 199. 113532–113532. 30 indexed citations
3.
Lou, Shenghan, Wei Huang, Jian Li, et al.. (2024). Clinical and prognostic significance of FBXL6 expression in ovarian cancer. Gene. 933. 148978–148978.
4.
Meng, Fanling, Jing Ding, Wei Xu, et al.. (2022). Knockdown of TRIM44 inhibits the progression of ovarian cancer and is related to the FOXM1-EZH2 signaling pathway. Translational Cancer Research. 11(2). 414–425. 7 indexed citations
5.
Ding, Jing, Xiaoyan Cheng, Shuang Liu, et al.. (2019). Apatinib exerts anti-tumour effects on ovarian cancer cells. Gynecologic Oncology. 153(1). 165–174. 23 indexed citations
6.
Liu, Shuang, Lin Mu, Jing Ding, et al.. (2019). RRBP1 overexpression is associated with progression and prognosis in endometrial endometrioid adenocarcinoma. Diagnostic Pathology. 14(1). 7–7. 11 indexed citations
7.
Li, Panpan, et al.. (2018). High TRIM44 expression in endometrial carcinoma is associated with a poorer patient outcome. Pathology - Research and Practice. 214(5). 727–731. 9 indexed citations
8.
Xiao, Min, Shanshan Yang, Fanling Meng, et al.. (2017). LAPTM4B Predicts Axillary Lymph Node Metastasis in Breast Cancer and Promotes Breast Cancer Cell Aggressiveness in Vitro. Cellular Physiology and Biochemistry. 41(3). 1072–1082. 21 indexed citations
9.
Xu, Ye, Jiawei Yu, Tianbo Liu, et al.. (2016). Loss of FBXW7 is related to the susceptibility and poor prognosis of cervical squamous carcinoma. Biomarkers. 21(4). 379–385. 13 indexed citations
10.
Liu, Tianbo, et al.. (2015). Increased NUCKS expression is a risk factor for poor prognosis and recurrence in endometrial cancer.. PubMed Central. 5(12). 3659–67. 12 indexed citations
11.
Shang, Pan, Fanling Meng, Yunduo Liu, & Xiuwei Chen. (2015). Overexpression of ANCCA/ATAD2 in endometrial carcinoma and its correlation with tumor progression and poor prognosis. Tumor Biology. 36(6). 4479–4485. 27 indexed citations
12.
Liu, Yunduo, Meng Dai, Shanshan Yang, et al.. (2015). Overexpression of Lysine-Specific Demethylase 1 Is Associated with Tumor Progression and Unfavorable Prognosis in Chinese Patients With Endometrioid Endometrial Adenocarcinoma. International Journal of Gynecological Cancer. 25(8). 1453–1460. 15 indexed citations
13.
Meng, Fanling, Xiuwei Chen, Hongtao Song, & Ge Lou. (2015). LAPTM4B Down Regulation Inhibits the Proliferation, Invasion and Angiogenesis of HeLa Cells In Vitro. Cellular Physiology and Biochemistry. 37(3). 890–900. 25 indexed citations
14.
Liu, Yunduo, et al.. (2013). Clinical Significance of Yes-Associated Protein Overexpression in Cervical Carcinoma. International Journal of Gynecological Cancer. 23(4). 735–742. 36 indexed citations
15.
Liu, Yunduo, Fanling Meng, Shanshan Yang, et al.. (2013). Overexpression of Wnt7a Is Associated With Tumor Progression and Unfavorable Prognosis in Endometrial Cancer. International Journal of Gynecological Cancer. 23(2). 304–311. 35 indexed citations
16.
Meng, Fanling, Hongtao Song, Mingzhu Yin, et al.. (2011). Correlation of LAPTM4B polymorphisms with cervical carcinoma. Cancer. 117(12). 2652–2658. 30 indexed citations
17.
Yin, Mingzhu, Cong Li, Xia Li, et al.. (2011). Over‐expression of LAPTM4B is associated with poor prognosis and chemotherapy resistance in stages III and IV epithelial ovarian cancer. Journal of Surgical Oncology. 104(1). 29–36. 46 indexed citations
18.
Meng, Fanling, Yuanlong Hu, Mingzhu Yin, et al.. (2010). Overexpression of LAPTM4B-35 in Cervical Carcinoma. International Journal of Gynecological Pathology. 29(6). 587–593. 24 indexed citations
19.
Yin, Mingzhu, Ye Xu, Ge Lou, et al.. (2010). LAPTM4B overexpression is a novel predictor of epithelial ovarian carcinoma metastasis. International Journal of Cancer. 129(3). 629–635. 37 indexed citations
20.
Meng, Fanling, Mingzhu Yin, Hongtao Song, et al.. (2010). LAPTM4B-35 Overexpression Is an Independent Prognostic Marker in Endometrial Carcinoma. International Journal of Gynecological Cancer. 20(5). 745–750. 29 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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