Weiping Li

5.8k total citations
146 papers, 4.3k citations indexed

About

Weiping Li is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Weiping Li has authored 146 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 33 papers in Cancer Research and 21 papers in Epidemiology. Recurrent topics in Weiping Li's work include Cancer-related molecular mechanisms research (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers) and Circular RNAs in diseases (12 papers). Weiping Li is often cited by papers focused on Cancer-related molecular mechanisms research (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers) and Circular RNAs in diseases (12 papers). Weiping Li collaborates with scholars based in China, United States and Saint Kitts and Nevis. Weiping Li's co-authors include Weizu Li, Jiyao Jiang, Xin‐Fu Zhou, Yanyan Yin, Zhibin Yao, Yong Su, Wenlan Liu, Mingkun Yu, Guoyi Gao and Cheng Zhu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Weiping Li

140 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiping Li China 37 1.9k 904 580 518 484 146 4.3k
Qianxue Chen China 35 2.0k 1.0× 1.1k 1.2× 634 1.1× 373 0.7× 434 0.9× 237 4.5k
Tao Tang China 30 1.8k 0.9× 691 0.8× 682 1.2× 195 0.4× 364 0.8× 178 3.8k
Heng Zhao United States 39 1.9k 1.0× 608 0.7× 414 0.7× 724 1.4× 527 1.1× 89 4.8k
Maja Mustapić United States 33 2.6k 1.3× 1.1k 1.2× 588 1.0× 335 0.6× 303 0.6× 80 4.2k
Yong Cheng China 38 1.8k 0.9× 505 0.6× 840 1.4× 841 1.6× 302 0.6× 200 5.1k
Hong Shi China 38 2.2k 1.2× 377 0.4× 254 0.4× 589 1.1× 258 0.5× 161 4.8k
Yan Leng China 42 3.8k 2.0× 616 0.7× 880 1.5× 1.1k 2.2× 590 1.2× 116 6.8k
Tsu‐Kung Lin Taiwan 39 2.4k 1.2× 385 0.4× 579 1.0× 493 1.0× 716 1.5× 162 5.1k
Kazem Zibara Lebanon 35 1.9k 1.0× 327 0.4× 324 0.6× 230 0.4× 376 0.8× 147 3.9k

Countries citing papers authored by Weiping Li

Since Specialization
Citations

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

Fields of papers citing papers by Weiping Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiping Li

This figure shows the co-authorship network connecting the top 25 collaborators of Weiping Li. A scholar is included among the top collaborators of Weiping Li 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 Weiping Li. Weiping Li 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.
Xu, C. Shan, Christopher T Zugates, Andrea Reyna‐Neyra, et al.. (2025). Illuminating Mouse Renal Proximal Tubule Architecture through High-Resolution Volume EM and Machine Learning Analysis. Journal of the American Society of Nephrology.
2.
Wang, Yongfei, et al.. (2024). Neurobiology of cancer: Adrenergic signaling and drug repurposing. Pharmacology & Therapeutics. 264. 108750–108750. 9 indexed citations
3.
Han, Min, Hui Zhang, Xiangyu Sun, et al.. (2024). Ginsenoside Rg1 alleviates diabetic liver injury and fibrosis by inhibiting the PLC-NFAT2-NLRP3 signaling pathway in T2DM mice. Journal of Functional Foods. 121. 106455–106455. 1 indexed citations
4.
Kong, Liangliang, Jingwei Li, Yanyan Wang, et al.. (2024). Ginsenoside Rg1 alleviates chronic inflammation-induced neuronal ferroptosis and cognitive impairments via regulation of AIM2 - Nrf2 signaling pathway. Journal of Ethnopharmacology. 330. 118205–118205. 22 indexed citations
5.
Sun, Ran, Min Han, Yan Liu, et al.. (2023). Trpc6 knockout protects against renal fibrosis by restraining the CN‑NFAT2 signaling pathway in T2DM mice. Molecular Medicine Reports. 29(1). 6 indexed citations
6.
Wang, Jing, et al.. (2023). Astragalosides inhibit proliferation of fibroblast‐like synoviocytes in experimental arthritis by modulating LncRNA S56464.1/miR‐152‐3p/Wnt1 signaling axis. International Journal of Rheumatic Diseases. 26(8). 1547–1556. 4 indexed citations
7.
Wang, Yingqiao, Li Ma, Juhong Pei, et al.. (2023). The level of life space mobility among community-dwelling elderly: A systematic review and meta-analysis. Archives of Gerontology and Geriatrics. 117. 105278–105278. 3 indexed citations
8.
Lu, Guihong, Feng Li, Shuang Wang, et al.. (2022). Engineered biomimetic nanoparticles achieve targeted delivery and efficient metabolism-based synergistic therapy against glioblastoma. Nature Communications. 13(1). 4214–4214. 147 indexed citations
9.
Dong, Xianan, Liangliang Kong, Lei Huang, et al.. (2022). Ginsenoside Rg1 treatment protects against cognitive dysfunction via inhibiting PLC–CN–NFAT1 signaling in T2DM mice. Journal of Ginseng Research. 47(3). 458–468. 11 indexed citations
10.
Han, Yuli, Yong Su, Min Han, et al.. (2022). Ginsenoside Rg1 attenuates glomerular fibrosis by inhibiting CD36/TRPC6/NFAT2 signaling in type 2 diabetes mellitus mice. Journal of Ethnopharmacology. 302(Pt A). 115923–115923. 34 indexed citations
11.
12.
Li, Weiping, Hui Zhao, Qing Zhao, et al.. (2021). Disrupted Network Topology Contributed to Spatial Navigation Impairment in Patients With Mild Cognitive Impairment. Frontiers in Aging Neuroscience. 13. 630677–630677. 11 indexed citations
13.
Zhang, Han, Yuli Han, Yan Li, et al.. (2020). Ginsenoside Rg1 protects against aging-induced renal interstitial fibrosis due to inhibition of tubular epithelial cells endoplasmic reticulum stress in SAMP8 mice. Journal of Functional Foods. 72. 104049–104049. 5 indexed citations
14.
Lima, Cássio, Howbeer Muhamadali, Weiping Li, et al.. (2020). Assessment of Transdermal Delivery of Topical Compounds in Skin Scarring Using a Novel Combined Approach of Raman Spectroscopy and High-Performance Liquid Chromatography. Advances in Wound Care. 10(1). 1–12. 4 indexed citations
15.
16.
Hu, Wen, Yaodong Zhang, Wen‐Ning Wu, et al.. (2015). Chronic glucocorticoids exposure enhances neurodegeneration in the frontal cortex and hippocampus via NLRP-1 inflammasome activation in male mice. Brain Behavior and Immunity. 52. 58–70. 66 indexed citations
17.
Li, Weizu, et al.. (2015). AST IV inhibits H2O2-induced human umbilical vein endothelial cell apoptosis by suppressing Nox4 expression through the TGF-β1/Smad2 pathway. International Journal of Molecular Medicine. 35(6). 1667–1674. 27 indexed citations
18.
Li, Weizu, Weiping Li, Dake Huang, et al.. (2011). Dexamethasone and Aβ25–35 accelerate learning and memory impairments due to elevate amyloid precursor protein expression and neuronal apoptosis in 12-month male rats. Behavioural Brain Research. 227(1). 142–149. 14 indexed citations
19.
Yao, Yuyou, et al.. (2011). Dexamethasone potentiated Abeta-induced learning and memory impairment in rats. Neurological Research. 33(4). 371–380. 10 indexed citations
20.
Huang, Guodong, et al.. (2010). A clinical study comprising neuroendoscope-assisted and conventional shunt methods in treating patients with hydrocephalus. Chinese Journal of Neuromedicine. 9(3). 308–311. 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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