Aiping Lu

2.6k total citations
45 papers, 1.1k citations indexed

About

Aiping Lu is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Aiping Lu has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 19 papers in Genetics and 12 papers in Surgery. Recurrent topics in Aiping Lu's work include Muscle Physiology and Disorders (22 papers), Mesenchymal stem cell research (18 papers) and Telomeres, Telomerase, and Senescence (5 papers). Aiping Lu is often cited by papers focused on Muscle Physiology and Disorders (22 papers), Mesenchymal stem cell research (18 papers) and Telomeres, Telomerase, and Senescence (5 papers). Aiping Lu collaborates with scholars based in United States, China and Japan. Aiping Lu's co-authors include Johnny Huard, Ying Tang, Bing Wang, Arvydas Ūsas, Xueqin Gao, Paul D. Robbins, Laura J. Niedernhofer, Jonathan D. Proto, James H. Cummins and Johnny Huard and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and PLoS ONE.

In The Last Decade

Aiping Lu

43 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aiping Lu United States 18 579 279 266 167 142 45 1.1k
Fatemeh Talebian United States 14 487 0.8× 708 2.5× 334 1.3× 145 0.9× 287 2.0× 27 1.5k
Annie C. Bowles United States 20 373 0.6× 538 1.9× 294 1.1× 123 0.7× 211 1.5× 41 1.1k
Koichi Nishijo Japan 19 667 1.2× 228 0.8× 167 0.6× 97 0.6× 269 1.9× 28 1.2k
Séverine Lecourt France 17 321 0.6× 302 1.1× 194 0.7× 109 0.7× 146 1.0× 22 795
Tu‐Lai Yew Taiwan 8 388 0.7× 573 2.1× 271 1.0× 108 0.6× 130 0.9× 10 986
Sylma Diabira France 11 463 0.8× 633 2.3× 388 1.5× 67 0.4× 153 1.1× 17 1.2k
Bong Ihn Koh South Korea 11 529 0.9× 334 1.2× 222 0.8× 116 0.7× 489 3.4× 14 1.3k
Mandana Mohyeddin Bonab Iran 10 414 0.7× 893 3.2× 367 1.4× 145 0.9× 102 0.7× 18 1.2k
Elisa Montelatici Italy 16 465 0.8× 674 2.4× 420 1.6× 84 0.5× 145 1.0× 33 1.2k
Yasuhito Yahara Japan 17 579 1.0× 161 0.6× 307 1.2× 66 0.4× 145 1.0× 50 1.2k

Countries citing papers authored by Aiping Lu

Since Specialization
Citations

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

Fields of papers citing papers by Aiping Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aiping Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Aiping Lu. A scholar is included among the top collaborators of Aiping 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 Aiping Lu. Aiping 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.
Doerner, Jessica, et al.. (2025). Dendritic cells activate pyroptosis and effector-triggered apoptosis to restrict Legionella infection. mBio. 16(7). e0125725–e0125725.
2.
3.
Guo, Ping, Ting Zhang, Aiping Lu, et al.. (2023). Specific reprogramming of alpha cells to insulin-producing cells by short glucagon promoter-driven Pdx1 and MafA. Molecular Therapy — Methods & Clinical Development. 28. 355–365. 11 indexed citations
4.
Gao, Xueqin, Mintai P. Hwang, Nathaniel C. Wright, et al.. (2022). The use of heparin/polycation coacervate sustain release system to compare the bone regenerative potentials of 5 BMPs using a critical sized calvarial bone defect model. Biomaterials. 288. 121708–121708. 18 indexed citations
5.
Zhang, Xue, et al.. (2022). Vanin-1 as a novel biomarker for chronic obstructive pulmonary disease. Heart & Lung. 56. 91–95. 4 indexed citations
6.
Gao, Zhan‐Guo, Aiping Lu, Alexes C. Daquinag, et al.. (2021). Partial Ablation of Non-Myogenic Progenitor Cells as a Therapeutic Approach to Duchenne Muscular Dystrophy. Biomolecules. 11(10). 1519–1519. 5 indexed citations
7.
Kawakami, Yohei, William S. Hambright, Koji Takayama, et al.. (2019). Rapamycin Rescues Age-Related Changes in Muscle-Derived Stem/Progenitor Cells from Progeroid Mice. Molecular Therapy — Methods & Clinical Development. 14. 64–76. 35 indexed citations
8.
Proto, Jonathan D., Aiping Lu, Akaitz Dorronsoro, et al.. (2017). Inhibition of NF-κB improves the stress resistance and myogenic differentiation of MDSPCs isolated from naturally aged mice. PLoS ONE. 12(6). e0179270–e0179270. 8 indexed citations
9.
Tang, Ying, Aiping Lu, Koji Takayama, et al.. (2015). The role of Notch signaling in muscle progenitor cell depletion and the rapid onset of histopathology in muscular dystrophy. Human Molecular Genetics. 24(10). 2923–2937. 35 indexed citations
10.
Lu, Aiping, Minakshi Poddar, Ying Tang, et al.. (2014). Rapid depletion of muscle progenitor cells in dystrophic mdx/utrophin−/− mice. Human Molecular Genetics. 23(18). 4786–4800. 45 indexed citations
11.
Gao, Xueqin, Arvydas Ūsas, Ying Tang, et al.. (2014). A comparison of bone regeneration with human mesenchymal stem cells and muscle-derived stem cells and the critical role of BMP. Biomaterials. 35(25). 6859–6870. 73 indexed citations
12.
He, Yingjian, Yiqiang Liu, Zhaoqing Fan, et al.. (2013). [Analysis of associations between molecular subtypes and responses to neoadjuvant chemotherapy in primary breast cancer patients].. PubMed. 93(22). 1711–5. 2 indexed citations
13.
Yang, Qichang, Ying Tang, Aiping Lu, et al.. (2012). AAV-based shRNA silencing of NF-κB ameliorates muscle pathologies in mdx mice. Gene Therapy. 19(12). 1196–1204. 32 indexed citations
14.
Lavasani, Mitra, Andria R. Robinson, Aiping Lu, et al.. (2012). Muscle-derived stem/progenitor cell dysfunction limits healthspan and lifespan in a murine progeria model. Nature Communications. 3(1). 608–608. 161 indexed citations
15.
Lu, Aiping, Jonathan D. Proto, Ying Tang, et al.. (2011). NF-κB Negatively Impacts the Myogenic Potential of Muscle-derived Stem Cells. Molecular Therapy. 20(3). 661–668. 51 indexed citations
16.
Chang, Aileen Y., Lan X. Chen, Miao Jiang, et al.. (2010). What Can the Tongue Tell You About Sjögren's Syndrome?. JCR Journal of Clinical Rheumatology. 16(7). 348–350. 1 indexed citations
17.
Liu, Caiyun, Bin Dong, Aiping Lu, et al.. (2010). Synuclein gamma predicts poor clinical outcome in colon cancer with normal levels of carcinoembryonic antigen. BMC Cancer. 10(1). 359–359. 30 indexed citations
18.
Lu, Aiping, et al.. (2009). Expression of phosphatase regenerating liver 3 is an independent prognostic indicator for gastric cancer. World Journal of Gastroenterology. 15(12). 1499–1499. 35 indexed citations
19.
Lu, Aiping, James H. Cummins, Jonathan B. Pollett, et al.. (2008). Isolation of myogenic progenitor populations from Pax7-deficient skeletal muscle based on adhesion characteristics. Gene Therapy. 15(15). 1116–1125. 17 indexed citations
20.
Gu, Jin, Jiyou Li, Yunfeng Yao, Aiping Lu, & Hongyi Wang. (2007). Synchronous rectal adenocarcinoma and anal canal adenocarcinoma. Frontiers of Medicine in China. 1(3). 333–337. 1 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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