Lu Meng

492 total citations
12 papers, 395 citations indexed

About

Lu Meng is a scholar working on Molecular Biology, Oncology and Biotechnology. According to data from OpenAlex, Lu Meng has authored 12 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Biotechnology. Recurrent topics in Lu Meng's work include Cancer Research and Treatments (2 papers), Cancer Cells and Metastasis (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). Lu Meng is often cited by papers focused on Cancer Research and Treatments (2 papers), Cancer Cells and Metastasis (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). Lu Meng collaborates with scholars based in China, United States and Canada. Lu Meng's co-authors include María Jaramillo, Maureen D. O'Connor‐McCourt, Enrico O. Purisima, Qinghua Cui, Song Yang, Lixue Liu, Yun Ma, Edwin Wang, Youji Feng and Fangyu Shi and has published in prestigious journals such as PLoS ONE, Chemical Communications and International Journal of Molecular Sciences.

In The Last Decade

Lu Meng

12 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Meng China 9 299 54 49 39 38 12 395
Xi Long China 11 252 0.8× 105 1.9× 54 1.1× 46 1.2× 50 1.3× 31 445
Siôn L. Williams United States 11 270 0.9× 58 1.1× 21 0.4× 24 0.6× 62 1.6× 26 435
Akhilesh Kumar Bajpai United States 8 164 0.5× 29 0.5× 14 0.3× 37 0.9× 27 0.7× 34 317
Catherine Snow United Kingdom 3 411 1.4× 73 1.4× 25 0.5× 53 1.4× 46 1.2× 3 544
Kenneth Segers Netherlands 12 169 0.6× 20 0.4× 33 0.7× 72 1.8× 11 0.3× 17 451
Max Schelker Germany 7 318 1.1× 70 1.3× 22 0.4× 24 0.6× 81 2.1× 7 450
Ksenia Lezhnina United States 7 213 0.7× 53 1.0× 108 2.2× 18 0.5× 32 0.8× 8 359
Joel P. Wagner United States 9 294 1.0× 61 1.1× 29 0.6× 30 0.8× 101 2.7× 14 477
Sharon Shechter United States 11 264 0.9× 49 0.9× 21 0.4× 13 0.3× 63 1.7× 22 372
Sanhua Wei China 11 324 1.1× 64 1.2× 16 0.3× 28 0.7× 121 3.2× 22 517

Countries citing papers authored by Lu Meng

Since Specialization
Citations

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

Fields of papers citing papers by Lu Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Meng

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

All Works

12 of 12 papers shown
1.
Li, Fangjun, Qian Wu, Keke Yu, et al.. (2022). Thidiazuron Promotes Leaf Abscission by Regulating the Crosstalk Complexities between Ethylene, Auxin, and Cytokinin in Cotton. International Journal of Molecular Sciences. 23(5). 2696–2696. 25 indexed citations
2.
Wang, Lu, Xinyue Wang, Fengmin Yang, et al.. (2021). Systemic antiviral immunization by virus-mimicking nanoparticles-decorated erythrocytes. Nano Today. 40. 101280–101280. 46 indexed citations
3.
Yang, Fengmin, Lu Meng, Sisi Lin, Feng Wu, & Jinyao Liu. (2021). Polyethyleneimine-complexed charge-reversed yeast cell walls for the enhanced oral delivery of pseudovirus-based antigens. Chemical Communications. 57(95). 12768–12771. 8 indexed citations
4.
Meng, Lu, et al.. (2018). OCT4B regulates p53 and p16 pathway genes to prevent apoptosis of breast cancer cells. Oncology Letters. 16(1). 522–528. 12 indexed citations
5.
6.
Meng, Lu, et al.. (2016). RNAi-Mediated Downregulation of FKBP14 Suppresses the Growth of Human Ovarian Cancer Cells. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 23(6). 267–274. 12 indexed citations
7.
Shi, Fangyu, et al.. (2013). The Expression of Pax6 Variants Is Subject to Posttranscriptional Regulation in the Developing Mouse Eyelid. PLoS ONE. 8(1). e53919–e53919. 5 indexed citations
8.
Sun, Yunyan, Lu Meng, Xiaowei Xi, et al.. (2011). Regulation of Epithelial-Mesenchymal Transition by Homeobox Gene DLX4 in JEG-3 Trophoblast Cells: A Role in Preeclampsia. Reproductive Sciences. 18(11). 1138–1145. 27 indexed citations
9.
Hu, Hongyu, et al.. (2010). Immortalization of bovine mammary epithelial cells alone by human telomerase reverse transcriptase. Cell Biology International. 34(6). 579–586. 9 indexed citations
10.
Meng, Lu, Hongyu Hu, Xudong Wang, et al.. (2010). Spontaneously immortalised bovine mammary epithelial cells exhibit a distinct gene expression pattern from the breast cancer cells. BMC Cell Biology. 11(1). 82–82. 14 indexed citations
11.
12.
Cui, Qinghua, Yun Ma, María Jaramillo, et al.. (2007). A map of human cancer signaling. Molecular Systems Biology. 3(1). 152–152. 221 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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