Feng Lu

5.1k total citations
145 papers, 3.3k citations indexed

About

Feng Lu is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Feng Lu has authored 145 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 46 papers in Genetics and 38 papers in Surgery. Recurrent topics in Feng Lu's work include Mesenchymal stem cell research (45 papers), Electrospun Nanofibers in Biomedical Applications (16 papers) and Cancer-related molecular mechanisms research (16 papers). Feng Lu is often cited by papers focused on Mesenchymal stem cell research (45 papers), Electrospun Nanofibers in Biomedical Applications (16 papers) and Cancer-related molecular mechanisms research (16 papers). Feng Lu collaborates with scholars based in China, Hong Kong and United States. Feng Lu's co-authors include Aiwu Dong, Qiang Chang, Ziqiang Liu, Yang Li, Hai Huang, Yunjun Liao, Jianhua Gao, Gang Li, Yi Yuan and Ziqing Dong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Feng Lu

138 papers receiving 3.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Feng Lu 1.6k 913 698 693 370 145 3.3k
Mehryar Habibi Roudkenar 1.3k 0.8× 473 0.5× 421 0.6× 649 0.9× 204 0.6× 147 2.9k
Chunmei Zhang 1.9k 1.2× 581 0.6× 726 1.0× 1.4k 2.1× 166 0.4× 103 4.2k
Basem M. Abdallah 2.7k 1.7× 812 0.9× 1.0k 1.5× 1.9k 2.7× 809 2.2× 94 5.4k
Mohit Kapoor 2.9k 1.8× 1.5k 1.6× 870 1.2× 442 0.6× 720 1.9× 144 7.5k
Yue Wang 3.2k 1.9× 2.2k 2.4× 417 0.6× 478 0.7× 290 0.8× 111 4.9k
Rosa Maria Borzı̀ 1.2k 0.8× 657 0.7× 458 0.7× 245 0.4× 428 1.2× 75 3.5k
Jeong Hoon Kim 1.3k 0.8× 450 0.5× 899 1.3× 653 0.9× 583 1.6× 193 4.5k
Xin Xu 1.8k 1.1× 601 0.7× 359 0.5× 357 0.5× 464 1.3× 142 3.5k

Countries citing papers authored by Feng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Lu. A scholar is included among the top collaborators of Feng 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 Feng Lu. Feng 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.
Yang, Zhengmeng, Boguang Yang, Corjena Cheung, et al.. (2025). DHA laden liposome incorporated HA-menthol-CD host-guest hydrogels as delivery system for osteoarthritis treatment. International Journal of Biological Macromolecules. 328(Pt 1). 147650–147650.
2.
Lu, Feng, Zhengmeng Yang, Haixing Wang, et al.. (2025). MiR-378 mediates the ovariectomy induced bone loss via exaggerating osteoclastogenesis and transforming growth factor beta impaired osteogenesis. Genes & Diseases. 13(1). 101754–101754.
3.
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Chang, Qiang, et al.. (2023). Active Hydrophilic Graphene Oxide Nanocomposites Delivery Mediated by Adipose-Derived Stem Cell for Elevated Photothermal Therapy of Breast Cancer. International Journal of Nanomedicine. Volume 18. 971–986. 8 indexed citations
6.
Lu, Feng, Zhengmeng Yang, Ming Wang, et al.. (2023). Long Non-Coding RNA Malat1 Increases the Rescuing Effect of Quercetin on TNFα-Impaired Bone Marrow Stem Cell Osteogenesis and Ovariectomy-Induced Osteoporosis. International Journal of Molecular Sciences. 24(6). 5965–5965. 14 indexed citations
7.
Li, Yibao, Yao Yao, Li J, et al.. (2023). Pathological characteristics of breast nodules after large‐volume fat grafting for breast augmentation. Journal of Cosmetic Dermatology. 22(12). 3387–3394. 1 indexed citations
8.
Wang, Xinyue, Qian Yang, Xiaolin Yan, et al.. (2022). Collaborative Action of Microglia and Astrocytes Mediates Neutrophil Recruitment to the CNS to Defend against Escherichia coli K1 Infection. International Journal of Molecular Sciences. 23(12). 6540–6540. 13 indexed citations
9.
Han, Hongwei, Wenxue Sun, Feng Lu, et al.. (2021). Differential relieving effects of shikonin and its derivatives on inflammation and mucosal barrier damage caused by ulcerative colitis. PeerJ. 9. e10675–e10675. 21 indexed citations
10.
Chen, Hui, et al.. (2020). Comparison of Novel Metabolic Indices in Estimation of Chronic Kidney Diseases in a Southern Chinese Population. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Cai, Junrong, Ye Li, Yunfan He, et al.. (2019). External Volume Expansion Adjusted Adipose Stem Cell by Shifting the Ratio of Fibronectin to Laminin. Tissue Engineering Part A. 26(1-2). 66–77. 14 indexed citations
12.
Lu, Feng, Liu Shi, Yingfei Lu, et al.. (2018). Linc-ROR Promotes Osteogenic Differentiation of Mesenchymal Stem Cells by Functioning as a Competing Endogenous RNA for miR-138 and miR-145. Molecular Therapy — Nucleic Acids. 11. 345–353. 96 indexed citations
13.
Du, Meng, Qiongfang Yu, Feng Lu, et al.. (2018). Citron kinase (CIT-K) promotes aggressiveness and tumorigenesis of breast cancer cells in vitro and in vivo: preliminary study of the underlying mechanism. Clinical & Translational Oncology. 21(7). 910–923. 12 indexed citations
14.
Xiao, Zhangang, Chi Han Li, Stephen L. Chan, et al.. (2014). A Small-Molecule Modulator of the Tumor-Suppressor miR34a Inhibits the Growth of Hepatocellular Carcinoma. Cancer Research. 74(21). 6236–6247. 74 indexed citations
15.
Liu, Sijun, Yun Qian, Feng Lu, et al.. (2014). Genetic variants at 10q23.33 are associated with plasma lipid levels in a Chinese population. Journal of Biomedical Research. 28(1). 53–53. 5 indexed citations
16.
Liu, Linqi, Jianhua Gao, Yi Yuan, et al.. (2013). Hypoxia preconditioned human adipose derived mesenchymal stem cells enhance angiogenic potential via secretion of increased VEGF and bFGF. Cell Biology International. 37(6). 551–560. 135 indexed citations
17.
Yuan, Yi, Jianhua Gao, Linqi Liu, & Feng Lu. (2013). Role of adipose‐derived stem cells in enhancing angiogenesis early after aspirated fat transplantation: induction or differentiation?. Cell Biology International. 37(6). 547–550. 31 indexed citations
18.
Li, Huizhang, Chuanli Ren, Zhining Fan, et al.. (2012). A Genetic Variant in 3′-Untranslated Region of Cyclooxygenases-2 Gene Is Associated with Risk of Gastric Cancer in a Chinese Population. DNA and Cell Biology. 31(7). 1252–1257. 6 indexed citations
19.
Li, Jie, Jianhua Gao, Feng Lu, Hongmian Li, & FU Bing-chuan. (2009). [Experimental study of the effect of adipose tissue derived stem cells on the survival rate of free fat transplantation].. PubMed. 25(2). 129–33. 2 indexed citations
20.

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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