Aiping Lü

36.1k total citations · 6 hit papers
549 papers, 20.7k citations indexed

About

Aiping Lü is a scholar working on Molecular Biology, Complementary and alternative medicine and Pharmacology. According to data from OpenAlex, Aiping Lü has authored 549 papers receiving a total of 20.7k indexed citations (citations by other indexed papers that have themselves been cited), including 256 papers in Molecular Biology, 149 papers in Complementary and alternative medicine and 82 papers in Pharmacology. Recurrent topics in Aiping Lü's work include Traditional Chinese Medicine Studies (74 papers), Computational Drug Discovery Methods (68 papers) and Pharmacological Effects of Natural Compounds (56 papers). Aiping Lü is often cited by papers focused on Traditional Chinese Medicine Studies (74 papers), Computational Drug Discovery Methods (68 papers) and Pharmacological Effects of Natural Compounds (56 papers). Aiping Lü collaborates with scholars based in China, Hong Kong and United States. Aiping Lü's co-authors include Ge Zhang, Dongsheng Cao, Cheng Lü, Miao Jiang, Tingjun Hou, Jie Dong, Xiaojuan He, Ningning Wang, Chao Liang and Zhijiang Yang and has published in prestigious journals such as The Lancet, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Aiping Lü

538 papers receiving 20.4k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties

2021 1.7k citations Aiping Lü, Dongsheng Cao et al. profile →
ADMETlab: a platform for systematic ADMET evaluation based on a comprehensively collected ADMET database

2018 591 citations Aiping Lü, Dongsheng Cao et al. profile →
Recent Progress in Aptamer Discoveries and Modifications for Therapeutic Applications

2020 415 citations Liang Yu, Dijie Li et al. profile →
Surface Functionalization and Targeting Strategies of Liposomes in Solid Tumor Therapy: A Review

2018 355 citations Ge Zhang, Aiping Lü et al. International Journal of Molecular Sciences profile →
TargetNet: a web service for predicting potential drug–target interaction profiling via multi-target SAR models

2016 316 citations Aiping Lü, Dongsheng Cao et al. profile →
ChemDes: an integrated web-based platform for molecular descriptor and fingerprint computation

2015 311 citations Dongsheng Cao, Aiping Lü et al. profile →

Author Peers

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

Author						Papers	Cites
Aiping Lü	10.6k	3.3k	2.8k	2.2k	2.2k	549	20.7k
Shao Li	9.2k 0.9×	2.3k 0.7×	2.2k 0.8×	2.5k 1.1×	1.0k 0.5×	357	17.3k
Ling Yang	7.3k 0.7×	2.3k 0.7×	2.3k 0.8×	4.8k 2.2×	1.7k 0.8×	480	15.1k
Guanhua Du	9.3k 0.9×	3.2k 1.0×	1.0k 0.4×	2.2k 1.0×	1.2k 0.6×	752	20.0k
Thomas Efferth	17.4k 1.6×	3.2k 1.0×	2.0k 0.7×	4.8k 2.2×	6.4k 3.0×	972	37.0k
Hua Li	9.9k 0.9×	937 0.3×	1.0k 0.4×	1.2k 0.6×	2.3k 1.1×	901	21.9k
Yu Chen	10.0k 0.9×	696 0.2×	5.3k 1.9×	1.8k 0.8×	1.3k 0.6×	455	17.6k
Cheng Peng	11.6k 1.1×	2.0k 0.6×	494 0.2×	2.9k 1.3×	1.7k 0.8×	963	25.7k
Oleg Trott	14.2k 1.3×	995 0.3×	6.5k 2.3×	2.0k 0.9×	2.7k 1.2×	7	27.3k
Mohammad Amjad Kamal	5.3k 0.5×	1.1k 0.3×	1.3k 0.5×	729 0.3×	892 0.4×	598	15.5k
Vincent Zoete	13.1k 1.2×	1.5k 0.5×	7.9k 2.8×	2.6k 1.2×	2.9k 1.4×	157	28.4k

Countries citing papers authored by Aiping Lü

Since Specialization

Citations

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

Fields of papers citing papers by Aiping Lü

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aiping Lü

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

All Works

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20 of 20 papers shown

Zeng, Yu, Xiaoli Chen, Wenbin Huang, et al.. (2025). Targeting tumor-infiltrating regulatory T cells: combining CD47 and PD-L1 inhibition via a novel aptamer-siRNA chimera. Molecular Biomedicine. 6(1). 140–140.

Wu, Hangtian, Jun Wang, Yupeng Chen, et al.. (2024). Injectable Ozone‐Rich Nanocomposite Hydrogel Loaded with D‐Mannose for Anti‐Inflammatory and Cartilage Protection in Osteoarthritis Treatment. Small. 20(25). e2309597–e2309597. 19 indexed citations

Zhang, Zhengjia, Xinyi Luo, Xiaoxia Xue, et al.. (2024). Engineered Exosomes Carrying miR-588 for Treatment of Triple Negative Breast Cancer Through Remodeling the Immunosuppressive Microenvironment. International Journal of Nanomedicine. Volume 19. 743–758. 17 indexed citations

Fu, Xiangzheng, et al.. (2024). Predicting novel targets with Bayesian machine learning by integrating multiple biological signatures. Chemical Science. 15(35). 14471–14484. 3 indexed citations

Ren, Meishen, Shanshan Yao, Hang Luo, et al.. (2024). Connective Tissue Growth Factor: Regulation, Diseases, and Drug Discovery. International Journal of Molecular Sciences. 25(9). 4692–4692. 6 indexed citations

Dai, Hong, et al.. (2024). Insights and therapeutic advances in pancreatic cancer: the role of electron microscopy in decoding the tumor microenvironment. Frontiers in Cell and Developmental Biology. 12. 1460544–1460544. 1 indexed citations

Zhou, You, Xueping Yao, Yan Luo, et al.. (2023). Pan-genome wide association study of Glaesserella parasuis highlights genes associated with virulence and biofilm formation. Frontiers in Microbiology. 14. 1160433–1160433. 5 indexed citations

Wang, Luyao, Jin Liu, Xin Yang, et al.. (2023). Macrophagic Sclerostin Loop2-ApoER2 Interaction Required by Sclerostin for Suppressing Inflammatory Responses. Metabolism. 142. 155427–155427. 1 indexed citations

Li, Dijie, Luyao Wang, Ning Zhang, et al.. (2023). Sclerostin loop3-LRP4 Interaction Required by Sclerostin for Lipid and Glucose Metabolism Impairment in Adipocyte. Metabolism. 142. 155432–155432.

10.

Wu, Jie, Yupeng Chen, Yi Li, et al.. (2023). A Metabolic Driven Bio‐Responsive Hydrogel Loading Psoralen for Therapy of Rheumatoid Arthritis. Small. 19(21). e2207319–e2207319. 18 indexed citations

11.

Cao, Zhiwen, Rui Liu, Yang Li, et al.. (2023). MTX-PEG-modified CG/DMMA polymeric micelles for targeted delivery of doxorubicin to induce synergistic autophagic death against triple-negative breast cancer. Breast Cancer Research. 25(1). 3–3. 21 indexed citations

12.

Zhang, Shiping, et al.. (2016). Pattern Differentiation of Lateral Elbow Pain in Traditional Chinese Medicine: A Systematic Review. The Journal of Alternative and Complementary Medicine. 22(11). 921–935. 7 indexed citations

13.

Fan, Ling, Wenbin Fu, Chen Zhao, et al.. (2015). Gender-Related Differences in Outcomes on Acupuncture and Moxibustion Treatment Among Depression Patients. The Journal of Alternative and Complementary Medicine. 21(11). 673–680. 19 indexed citations

14.

Liu, Zezhou, et al.. (2015). Metabolomics Profiling to Investigate the Pharmacologic Mechanisms of Berberine for the Treatment of High-Fat Diet-Induced Nonalcoholic Steatohepatitis. Evidence-based Complementary and Alternative Medicine. 2015. 1–9. 12 indexed citations

15.

Tan, Yong, Joshua Ka-Shun Ko, Xinru Liu, et al.. (2014). Serum metabolomics reveals betaine and phosphatidylcholine as potential biomarkers for the toxic responses of processed Aconitum carmichaelii Debx. Molecular BioSystems. 10(9). 2305–2316. 27 indexed citations

16.

Zhao, Jing, Qinglin Zha, Miao Jiang, Hongxin Cao, & Aiping Lü. (2012). Expert Consensus on the Treatment of Rheumatoid Arthritis with Chinese Patent Medicines. The Journal of Alternative and Complementary Medicine. 19(2). 111–118. 37 indexed citations

17.

Shi, Nannan, et al.. (2012). Adoption in China of Clinical Practice Guidelines for Hypertension Using Traditional Chinese Medical Approaches: A Literature Review Based on Clinical Studies. The Journal of Alternative and Complementary Medicine. 19(1). 1–8. 22 indexed citations

18.

Si, Lu, Yanyan Zhu, Xiaowei Xu, et al.. (2011). Large-Scale Analysis of KIT Aberrations in Chinese Patients with Melanoma. Clinical Cancer Research. 17(7). 1684–1691. 181 indexed citations

19.

Lü, Cheng, Qinglin Zha, Aileen Y. Chang, Yiting He, & Aiping Lü. (2009). Pattern Differentiation in Traditional Chinese Medicine Can Help Define Specific Indications for Biomedical Therapy in the Treatment of Rheumatoid Arthritis. The Journal of Alternative and Complementary Medicine. 15(9). 1021–1025. 71 indexed citations

20.

Zha, Qinglin, et al.. (2009). Pattern Differentiation in Traditional Chinese Medicine Can Help Define Specific Indications for Biomedical Therapy in the Treatment of Rheumatoid Arthritis. The Journal of Alternative and Complementary Medicine. 2724743199–2724743199. 3 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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