Yanling Mu

410 total citations
24 papers, 318 citations indexed

About

Yanling Mu is a scholar working on Molecular Biology, Epidemiology and Complementary and alternative medicine. According to data from OpenAlex, Yanling Mu has authored 24 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Complementary and alternative medicine. Recurrent topics in Yanling Mu's work include Natural product bioactivities and synthesis (6 papers), Phytochemical Studies and Bioactivities (5 papers) and Traditional Chinese Medicine Analysis (4 papers). Yanling Mu is often cited by papers focused on Natural product bioactivities and synthesis (6 papers), Phytochemical Studies and Bioactivities (5 papers) and Traditional Chinese Medicine Analysis (4 papers). Yanling Mu collaborates with scholars based in China, United Kingdom and Japan. Yanling Mu's co-authors include Fengling Wang, Wei Tang, Shu‐Xiang Cui, Xian‐Jun Qu, Yuanshu Wang, Jingjing Liu, Hong Bai, Feng-Xian Jiang, Yan Luo and Wei Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and ACS Applied Materials & Interfaces.

In The Last Decade

Yanling Mu

24 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanling Mu China 10 177 44 37 30 28 24 318
Eun-Ju Choi South Korea 12 146 0.8× 51 1.2× 33 0.9× 33 1.1× 12 0.4× 16 368
Jiang Wang China 9 307 1.7× 24 0.5× 30 0.8× 18 0.6× 28 1.0× 21 431
Ahmed S. Saad Egypt 10 148 0.8× 34 0.8× 35 0.9× 9 0.3× 30 1.1× 23 353
Chia‐Yao Shen Taiwan 12 218 1.2× 36 0.8× 14 0.4× 18 0.6× 21 0.8× 18 412
Fangyan Huang China 10 211 1.2× 20 0.5× 46 1.2× 24 0.8× 21 0.8× 13 419
Abdullatif Taha Babakr Saudi Arabia 11 116 0.7× 28 0.6× 21 0.6× 17 0.6× 58 2.1× 25 304
Wen-Teng Chang Taiwan 12 211 1.2× 40 0.9× 17 0.5× 33 1.1× 26 0.9× 14 375
Fatima Rizvi United States 9 290 1.6× 35 0.8× 21 0.6× 55 1.8× 18 0.6× 21 482
Li Hua Zheng China 12 287 1.6× 23 0.5× 11 0.3× 21 0.7× 24 0.9× 19 490
Fatemeh Khaki‐Khatibi Iran 10 118 0.7× 49 1.1× 11 0.3× 56 1.9× 23 0.8× 27 337

Countries citing papers authored by Yanling Mu

Since Specialization
Citations

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

Fields of papers citing papers by Yanling Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanling Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanling Mu. A scholar is included among the top collaborators of Yanling Mu 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 Yanling Mu. Yanling Mu 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.
Liu, Mei, Xuan Yin, Yan Li, et al.. (2025). Platinum(IV) Prodrug-Coupled TAT Nuclear-Targeting Peptide for Drug Delivery and High Antitumor Efficacy with Low Toxicity. ACS Applied Materials & Interfaces. 17(29). 41792–41805. 1 indexed citations
2.
Wang, Xiaobo, et al.. (2024). Repeat dose and reproductive toxicity of thrombopoietin mimic peptide in Sprague-Dawley rats. Regulatory Toxicology and Pharmacology. 148. 105581–105581. 1 indexed citations
3.
Li, Ying, Jie Cui, Lei Liu, et al.. (2024). mtDNA release promotes cGAS-STING activation and accelerated aging of postmitotic muscle cells. Cell Death and Disease. 15(7). 523–523. 13 indexed citations
4.
Yang, Yu, Yingli Wu, Xujin Gong, et al.. (2024). In Vitro and Circulation Kinetic Studies on π-π-stacked Poly (ɛ-caprolactone)-based Micelles Loaded with Olaparib. 2(1). 1–1–9. 1 indexed citations
5.
6.
Liu, Yang, Yuanhang Pan, Liyuan Zhou, et al.. (2023). Developmental and reproduction toxicity studies of Biolimus A9 in SD rats. Reproductive Toxicology. 116. 108338–108338. 2 indexed citations
7.
Cui, Jie, Lei Liu, Ying Li, et al.. (2023). Nuclear softening mediated by Sun2 suppression delays mechanical stress-induced cellular senescence. Cell Death Discovery. 9(1). 167–167. 17 indexed citations
8.
9.
Wang, Fang, Zhongrui Li, Youjun Wang, et al.. (2022). Mannan-Binding Lectin Regulates the Th17/Treg Axis Through JAK/STAT and TGF-β/SMAD Signaling Against Candida albicans Infection. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Feng, Lei, et al.. (2022). Identification of dyslipidaemia as an important risk factor for gastric adenomatous polyps in patients with gastric polyps. Polskie Archiwum Medycyny Wewnętrznej. 132(4). 1 indexed citations
11.
Liu, Jingjing, Ning Ma, Liying Wang, et al.. (2020). Inhibition of NF-κB and Wnt/β-catenin/GSK3β Signaling Pathways Ameliorates Cardiomyocyte Hypertrophy and Fibrosis in Streptozotocin (STZ)-induced Type 1 Diabetic Rats. Current Medical Science. 40(1). 35–47. 31 indexed citations
12.
Mu, Yanling, et al.. (2019). Synthesis of gypsogenin and gypsogenic acid derivatives with antitumor activity by damaging cell membranes. New Journal of Chemistry. 43(47). 18898–18914. 9 indexed citations
13.
Mu, Yanling, et al.. (2018). Synthesis of gypsogenin derivatives with capabilities to arrest cell cycle and induce apoptosis in human cancer cells. Royal Society Open Science. 5(1). 171510–171510. 10 indexed citations
14.
Wang, Wenxue, Haoran Yang, Ying Li, et al.. (2018). Identification of 16,25- O -diacetyl-cucurbitane F and 25- O -acetyl-23,24-dihydrocucurbitacin F as novel anti-cancer chemicals. Royal Society Open Science. 5(8). 180723–180723. 6 indexed citations
15.
Mu, Yanling, et al.. (2018). A new indole alkaloid with anti-inflammatory from the branches of Nauclea officinalis. Natural Product Research. 34(16). 2283–2288. 21 indexed citations
16.
Mu, Yanling, et al.. (2016). Papaverine inhibits lipopolysaccharide-induced microglial activation by suppressing NF-κB signaling pathway. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Xu, Shuhong, Yan Wang, Jie Li, et al.. (2016). Methylamine irisolidone, a novel compound, increases total ATPase activity and inhibits apoptosis in vivo and in vitro. Journal of Asian Natural Products Research. 18(6). 562–575. 5 indexed citations
18.
Zhao, Huanxin, Yuichiro Kanno, Wei Li, et al.. (2013). A dihydrochalcone and several homoisoflavonoids from Polygonatum odoratum are activators of adenosine monophosphate-activated protein kinase. Bioorganic & Medicinal Chemistry Letters. 23(11). 3137–3139. 44 indexed citations
19.
Wang, Fengling, Shu‐Xiang Cui, Xian‐Jun Qu, et al.. (2009). High expression of α 2, 3-linked sialic acid residues is associated with the metastatic potential of human gastric cancer. Cancer Detection and Prevention. 32(5-6). 437–443. 55 indexed citations
20.
Mu, Yanling, et al.. (2009). Cardioprotective Effect of ‘Methylamine Irisolidone’, a New Compound, in Hypoxia/Reoxygenation Injury in Cultured Rat Cardiac Myocytes. Chemistry & Biodiversity. 6(8). 1170–1177. 6 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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