Fengming Lan

1.2k total citations
19 papers, 999 citations indexed

About

Fengming Lan is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fengming Lan has authored 19 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fengming Lan's work include Circular RNAs in diseases (14 papers), MicroRNA in disease regulation (14 papers) and Cancer-related molecular mechanisms research (7 papers). Fengming Lan is often cited by papers focused on Circular RNAs in diseases (14 papers), MicroRNA in disease regulation (14 papers) and Cancer-related molecular mechanisms research (7 papers). Fengming Lan collaborates with scholars based in China, Ethiopia and United States. Fengming Lan's co-authors include Xiao Yue, Tingyi Xia, Huiming Yu, Qiang Pan‐Hammarström, Man Hu, Qing Qin, Jinhuan Wang, Qiong Wang, Chunsheng Kang and Peiyu Pu and has published in prestigious journals such as Journal of Neurochemistry, Journal of neurosurgery and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Fengming Lan

19 papers receiving 987 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengming Lan China 14 828 747 102 63 61 19 999
Jianxing Yin China 14 1.1k 1.4× 986 1.3× 123 1.2× 66 1.0× 84 1.4× 20 1.3k
Bo Pang China 15 451 0.5× 256 0.3× 88 0.9× 36 0.6× 50 0.8× 22 641
Pasqualino De Antonellis Italy 10 632 0.8× 471 0.6× 37 0.4× 56 0.9× 45 0.7× 16 889
Weidong Yang China 13 481 0.6× 340 0.5× 44 0.4× 22 0.3× 44 0.7× 22 652
Mao Ouyang China 12 400 0.5× 298 0.4× 91 0.9× 171 2.7× 29 0.5× 22 681
Bingxi Lei China 13 405 0.5× 283 0.4× 128 1.3× 31 0.5× 25 0.4× 28 602
Lei Lü China 15 926 1.1× 481 0.6× 106 1.0× 51 0.8× 8 0.1× 29 1.1k
Riccardo Bazzoni Italy 12 416 0.5× 203 0.3× 210 2.1× 69 1.1× 35 0.6× 18 618
Marta Pojo Portugal 13 350 0.4× 245 0.3× 95 0.9× 60 1.0× 25 0.4× 30 567

Countries citing papers authored by Fengming Lan

Since Specialization
Citations

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

Fields of papers citing papers by Fengming Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengming Lan

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

All Works

19 of 19 papers shown
1.
Xiao, Yue, Fengming Lan, & Weiping Liu. (2023). Serum exosomal circCCDC66 as a potential diagnostic and prognostic biomarker for pituitary adenomas. Frontiers in Oncology. 13. 1268778–1268778. 3 indexed citations
2.
Xiao, Yue, Fengming Lan, & Weiping Liu. (2023). CircDDX17 inhibits invasive progression of pituitary adenomas by sponging miR-1279 and regulating CADM2 expression. Frontiers in Oncology. 13. 1268644–1268644. 2 indexed citations
3.
4.
Lan, Fengming, Xiaodan Zhang, Huibing Li, Xiao Yue, & Qinghong Sun. (2021). Serum exosomal lncRNA XIST is a potential non‐invasive biomarker to diagnose recurrence of triple‐negative breast cancer. Journal of Cellular and Molecular Medicine. 25(16). 7602–7607. 54 indexed citations
5.
Lan, Fengming, Xiao Yue, & Tingyi Xia. (2020). Exosomal microRNA‑210 is a potentially non‑invasive biomarker for the diagnosis and prognosis of glioma. Oncology Letters. 19(3). 1967–1974. 52 indexed citations
6.
Yue, Xiao, Fengming Lan, & Tingyi Xia. (2019). Hypoxic Glioma Cell-Secreted Exosomal miR-301a Activates Wnt/β-catenin Signaling and Promotes Radiation Resistance by Targeting TCEAL7. Molecular Therapy. 27(11). 1939–1949. 155 indexed citations
7.
Lan, Fengming, Qing Qin, Huiming Yu, & Xiao Yue. (2019). Effect of glycolysis inhibition by miR-448 on glioma radiosensitivity. Journal of neurosurgery. 132(5). 1456–1464. 22 indexed citations
8.
Lan, Fengming, Qing Qin, Qiang Pan‐Hammarström, et al.. (2017). Serum exosomal miR-301a as a potential diagnostic and prognostic biomarker for human glioma. Cellular Oncology. 41(1). 25–33. 154 indexed citations
9.
Yue, Xiao, et al.. (2016). MiR-301a is activated by the Wnt/β-catenin pathway and promotes glioma cell invasion by suppressing SEPT7. Neuro-Oncology. 18(9). 1288–1296. 40 indexed citations
10.
Lan, Fengming, Huiming Yu, Man Hu, Tingyi Xia, & Xiao Yue. (2015). miR‐144‐3p exerts anti‐tumor effects in glioblastoma by targeting c‐Met. Journal of Neurochemistry. 135(2). 274–286. 63 indexed citations
11.
Lan, Fengming, Yang Yang, Jing Han, et al.. (2015). Sulforaphane reverses chemo-resistance to temozolomide in glioblastoma cells by NF-κB-dependent pathway downregulating MGMT expression. International Journal of Oncology. 48(2). 559–568. 53 indexed citations
12.
Lan, Fengming, Qiang Pan‐Hammarström, Huiming Yu, & Xiao Yue. (2015). Sulforaphane enhances temozolomide‐induced apoptosis because of down‐regulation of miR‐21 via Wnt/β‐catenin signaling in glioblastoma. Journal of Neurochemistry. 134(5). 811–818. 81 indexed citations
13.
Yue, Xiao, Fengming Lan, Man Hu, et al.. (2015). Downregulation of serum microRNA-205 as a potential diagnostic and prognostic biomarker for human glioma. Journal of neurosurgery. 124(1). 122–128. 90 indexed citations
14.
Lan, Fengming, Xiao Yue, Hongqi Li, et al.. (2014). miR-15a/16 Enhances Radiation Sensitivity of Non-Small Cell Lung Cancer Cells by Targeting the TLR1/NF-κB Signaling Pathway. International Journal of Radiation Oncology*Biology*Physics. 91(1). 73–81. 52 indexed citations
15.
Wang, Yingjie, Fengming Lan, Hong‐Qi Li, et al.. (2014). Outcome Study of Cobalt Based Stereotactic Body Radiation Therapy for Patients with Inoperable Stage III Non-small Cell Lung Cancer. Technology in Cancer Research & Treatment. 14(5). 539–545. 6 indexed citations
16.
Lan, Fengming, Xiao Yue, Gang Ren, Yingjie Wang, & Tingyi Xia. (2014). Serum toll-like receptors are potential biomarkers of radiation pneumonia in locally advanced NSCLC.. PubMed. 7(11). 8087–95. 14 indexed citations
17.
Liu, Xiaozhi, Zhenlin Liu, Fengming Lan, et al.. (2013). A meta-analysis of carotid endarterectomy versus stenting in the treatment of symptomatic carotid stenosis. Chinese Medical Journal. 126(3). 532–535. 2 indexed citations
18.
Wang, Yingyi, Guan Sun, Hui Luo, et al.. (2012). MiR‐21 Modulates hTERT Through a STAT3‐Dependent Manner on Glioblastoma Cell Growth. CNS Neuroscience & Therapeutics. 18(9). 722–728. 59 indexed citations
19.
Han, Lei, Xiao Yue, Xuan Zhou, et al.. (2012). MicroRNA‐21 Expression is regulated by β‐catenin/STAT3 Pathway and Promotes Glioma Cell Invasion by Direct Targeting RECK. CNS Neuroscience & Therapeutics. 18(7). 573–583. 93 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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