Guanming Lu

826 total citations
27 papers, 565 citations indexed

About

Guanming Lu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Guanming Lu has authored 27 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Guanming Lu's work include Mesenchymal stem cell research (5 papers), Cancer-related molecular mechanisms research (5 papers) and MicroRNA in disease regulation (4 papers). Guanming Lu is often cited by papers focused on Mesenchymal stem cell research (5 papers), Cancer-related molecular mechanisms research (5 papers) and MicroRNA in disease regulation (4 papers). Guanming Lu collaborates with scholars based in China, Sweden and United States. Guanming Lu's co-authors include Yanfei Ma, Yongcheng Chen, Qiang Qin, Lifeng Zhao, Yueyong Li, Shiqing Huang, Yongqiang Li, Liwei Sun, Dalang Fang and Zhi Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Advanced Science.

In The Last Decade

Guanming Lu

24 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guanming Lu China 11 386 330 123 65 60 27 565
Pen‐Yuan Chu Taiwan 13 411 1.1× 232 0.7× 162 1.3× 47 0.7× 88 1.5× 19 606
Andrej Bešše Switzerland 12 501 1.3× 334 1.0× 99 0.8× 49 0.8× 30 0.5× 35 636
Adilson Fonseca Teixeira Australia 7 294 0.8× 161 0.5× 166 1.3× 107 1.6× 63 1.1× 17 486
Katayoon Pakravan Iran 11 492 1.3× 399 1.2× 72 0.6× 53 0.8× 31 0.5× 17 590
Liwei Song China 13 319 0.8× 140 0.4× 125 1.0× 76 1.2× 97 1.6× 21 502
Rongjing Zhou China 11 320 0.8× 223 0.7× 194 1.6× 70 1.1× 63 1.1× 17 491
Dali Yan China 12 390 1.0× 345 1.0× 99 0.8× 37 0.6× 44 0.7× 14 503
Yi Ba China 11 503 1.3× 322 1.0× 98 0.8× 119 1.8× 27 0.5× 23 665
Zengya Guo China 9 449 1.2× 297 0.9× 104 0.8× 131 2.0× 43 0.7× 11 565

Countries citing papers authored by Guanming Lu

Since Specialization
Citations

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

Fields of papers citing papers by Guanming Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanming Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Guanming Lu. A scholar is included among the top collaborators of Guanming Lu 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 Guanming Lu. Guanming Lu 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, Jiexing, et al.. (2025). Molecular mechanism of long chain non coding RNA LINC00511 influencing breast cancer stem cells: Mechanism of VEGFR1 protein. International Journal of Biological Macromolecules. 302. 140437–140437.
2.
Zhou, Guannan, et al.. (2025). Bioengineered extracellular vesicles presenting PD-L1 and Gal-9 to ameliorate new-onset primary ovarian insufficiency (POI). Chemical Engineering Journal. 512. 162635–162635. 2 indexed citations
3.
Sun, Zicheng, Hua‐Zhen Xu, Guanming Lu, et al.. (2025). AKT1 Phosphorylates FDX1 to Promote Cuproptosis Resistance in Triple‐Negative Breast Cancer. Advanced Science. 12(17). e2408106–e2408106. 14 indexed citations
4.
Zhou, Guannan, Yuanyuan Gu, Menglei Zhang, et al.. (2025). Genetically platform presenting CD24 ScFv enhance antitumor immunity by restoring macrophage phagocytosis and modulating the immune environment. Cell Communication and Signaling. 23(1). 517–517.
5.
Deng, Ming, et al.. (2025). Molecular characteristics of oligomeric protein complexes AIM2 and TM4SF19 and their association with the pathogenesis of oral squamous cell carcinoma: Potential biomarkers. International Journal of Biological Macromolecules. 306(Pt 4). 141816–141816. 1 indexed citations
7.
Li, Changmin, et al.. (2024). Colorectal cancer’s burden attributable to a diet high in processed meat in the Belt and Road Initiative countries. World Journal of Gastrointestinal Oncology. 16(1). 182–196. 3 indexed citations
8.
Li, Jingjing, et al.. (2024). In silico analysis of the wild-type and mutant-type of BRCA2 gene. Journal of Translational Medicine. 22(1). 484–484.
10.
Ma, Yanfei, Jingjie Zhao, Qiang Qin, et al.. (2022). Endothelial Cells Potentially Participate in the Metastasis of Triple-Negative Breast Cancer. Journal of Immunology Research. 2022. 1–13. 6 indexed citations
11.
Gao, Chunxia, et al.. (2021). 3D-Printed Degradable Anti-Tumor Scaffolds for Controllable Drug Delivery. International Journal of Bioprinting. 7(4). 418–418. 38 indexed citations
12.
Ma, Yanfei, Yongcheng Chen, Dalang Fang, et al.. (2021). The immune-related gene CD52 is a favorable biomarker for breast cancer prognosis. Gland Surgery. 10(2). 780–798. 21 indexed citations
13.
Gao, Xinya, Yuanhui Lai, Zhanqiang Zhang, et al.. (2020). Long Non-coding RNA RP11-480I12.5 Promotes the Proliferation, Migration, and Invasion of Breast Cancer Cells Through the miR-490-3p-AURKA-Wnt/β-Catenin Axis. Frontiers in Oncology. 10. 948–948. 9 indexed citations
14.
Fang, Dalang & Guanming Lu. (2020). Expression and role of nuclear receptor-interacting protein 1 (NRIP1) in stomach adenocarcinoma. Annals of Translational Medicine. 8(20). 1293–1293. 16 indexed citations
15.
Mei, Yan, Chao Zhou, Guanming Lu, et al.. (2020). A method to establish a c-Myc transgenic mouse model of hepatocellular carcinoma. MethodsX. 7. 100921–100921. 9 indexed citations
16.
Lu, Guanming, Zhi-Jie Liang, Yanfei Ma, et al.. (2020). Multiomics global landscape of stemness-related gene clusters in adipose-derived mesenchymal stem cells. Stem Cell Research & Therapy. 11(1). 310–310. 11 indexed citations
17.
Liang, Lina, Guanming Lu, Limei Liang, et al.. (2019). A Case-Control Study of the Association Between the SPP1 Gene SNPs and the Susceptibility to Breast Cancer in Guangxi, China. Frontiers in Oncology. 9. 1415–1415. 8 indexed citations
18.
Zhang, Zhi, et al.. (2018). Long non‐coding RNA FEZF1‐AS1 promotes breast cancer stemness and tumorigenesis via targeting miR‐30a/Nanog axis. Journal of Cellular Physiology. 233(11). 8630–8638. 62 indexed citations
19.
Lu, Guanming, Yueyong Li, Yanfei Ma, et al.. (2018). Long noncoding RNA LINC00511 contributes to breast cancer tumourigenesis and stemness by inducing the miR-185-3p/E2F1/Nanog axis. Journal of Experimental & Clinical Cancer Research. 37(1). 289–289. 216 indexed citations
20.
Lu, Guanming, Jie Li, Shuncong Wang, et al.. (2018). The fluctuating incidence, improved survival of patients with breast cancer, and disparities by age, race, and socioeconomic status by decade, 1981–2010. Cancer Management and Research. Volume 10. 4899–4914. 17 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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