Lingyun Mou

609 total citations
26 papers, 471 citations indexed

About

Lingyun Mou is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Lingyun Mou has authored 26 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 6 papers in Organic Chemistry. Recurrent topics in Lingyun Mou's work include Neuropeptides and Animal Physiology (10 papers), Chemical Synthesis and Analysis (6 papers) and Antimicrobial Peptides and Activities (6 papers). Lingyun Mou is often cited by papers focused on Neuropeptides and Animal Physiology (10 papers), Chemical Synthesis and Analysis (6 papers) and Antimicrobial Peptides and Activities (6 papers). Lingyun Mou collaborates with scholars based in China, United States and Bulgaria. Lingyun Mou's co-authors include Wenle Yang, Junqiu Xie, Qian Zeng, Rui Wang, Ying Zhou, Bangzhi Zhang, Yixin Zhang, Rui Wang, Xiaomin Guo and Xianxing Jiang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Lingyun Mou

26 papers receiving 469 citations

Peers

Lingyun Mou
Wenle Yang China
Ziqing Kong China
Jun Kuwahara Japan
Suzanne J. Furlong Canada
Essam Refai Sweden
Alexey Danilkovich United States
Ronald E. Esser United States
Marina Ali Australia
Claudia Andrieu France
Jacek Bigda Poland
Wenle Yang China
Lingyun Mou
Citations per year, relative to Lingyun Mou Lingyun Mou (= 1×) peers Wenle Yang

Countries citing papers authored by Lingyun Mou

Since Specialization
Citations

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

Fields of papers citing papers by Lingyun Mou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyun Mou

This figure shows the co-authorship network connecting the top 25 collaborators of Lingyun Mou. A scholar is included among the top collaborators of Lingyun Mou 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 Lingyun Mou. Lingyun Mou 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.
He, Zeyuan, Wenyan Gao, Guangjun Bao, et al.. (2025). Controlled reversible methionine-selective sulfimidation of peptides. Science Advances. 11(21). eadv8712–eadv8712. 2 indexed citations
2.
Wang, Mengran, Qi Zhang, Yongjia Lei, et al.. (2024). Site-Selective Polyfluoroaryl Modification and Unsymmetric Stapling of Unprotected Peptides. Journal of the American Chemical Society. 146(10). 6675–6685. 9 indexed citations
3.
Mou, Lingyun, Zhengzi Yi, Qisheng Lin, et al.. (2024). Integrative informatics analysis identifies that ginsenoside Re improves renal fibrosis through regulation of autophagy. Journal of Natural Medicines. 78(3). 722–731. 4 indexed citations
4.
Zhang, Xiaowei, Lin Li, Wenqian Hu, et al.. (2023). Neurokinin-1 receptor drives PKCɑ-AURKA/N-Myc signaling to facilitate the neuroendocrine progression of prostate cancer. Cell Death and Disease. 14(6). 384–384. 8 indexed citations
5.
Chen, Man, Madhav C. Menon, Wenlin Wang, et al.. (2023). HCK induces macrophage activation to promote renal inflammation and fibrosis via suppression of autophagy. Nature Communications. 14(1). 4297–4297. 55 indexed citations
6.
Zhang, Xiaowei, Cong Wang, Juan Yi, et al.. (2023). Microcolin H, a novel autophagy inducer, exerts potent antitumour activity by targeting PITPα/β. Signal Transduction and Targeted Therapy. 8(1). 428–428. 15 indexed citations
7.
Hu, Hui, Xiaowei Zhang, Li Lin, et al.. (2021). Inhibition of autophagy by YC-1 promotes gefitinib induced apoptosis by targeting FOXO1 in gefitinib-resistant NSCLC cells. European Journal of Pharmacology. 908. 174346–174346. 19 indexed citations
8.
Xie, Junqiu, Xiaomin Guo, Tiantian Yan, et al.. (2020). CPF-C1 analog with effective antimicrobial and antibiofilm activities against Staphylococcus aureus including MRSA. Biochimie. 176. 1–11. 7 indexed citations
9.
Yan, Zhibin, Dan Wang, Hongjiao Xu, et al.. (2020). The antimicrobial peptide YD attenuates inflammation via miR-155 targeting CASP12 during liver fibrosis. Acta Pharmaceutica Sinica B. 11(1). 100–111. 19 indexed citations
10.
Zhang, Jingying, Jingjie Xu, Xiaomin Guo, et al.. (2020). Enhanced cell selectivity of hybrid peptides with potential antimicrobial activity and immunomodulatory effect. Biochimica et Biophysica Acta (BBA) - General Subjects. 1864(4). 129532–129532. 28 indexed citations
11.
Hu, Hui, Jingyi Li, Xiaowei Zhang, et al.. (2020). YC-1 potentiates the antitumor activity of gefitinib by inhibiting HIF-1α and promoting the endocytic trafficking and degradation of EGFR in gefitinib-resistant non-small-cell lung cancer cells. European Journal of Pharmacology. 874. 172961–172961. 31 indexed citations
12.
Zhang, Ling, Lingyun Mou, Xueqiu Chen, et al.. (2018). Identification and preliminary characterization of Hc-clec-160, a novel C-type lectin domain-containing gene of the strongylid nematode Haemonchus contortus. Parasites & Vectors. 11(1). 430–430. 7 indexed citations
13.
Xie, Junqiu, Jing Li, Zhibin Yan, et al.. (2018). Potent effects of amino acid scanned antimicrobial peptide Feleucin-K3 analogs against both multidrug-resistant strains and biofilms of Pseudomonas aeruginosa. Amino Acids. 50(10). 1471–1483. 27 indexed citations
14.
Zhang, Yixin, Xiaofang Li, Guoqiang Yuan, et al.. (2017). β-Arrestin 1 has an essential role in neurokinin-1 receptor-mediated glioblastoma cell proliferation and G2/M phase transition. Journal of Biological Chemistry. 292(21). 8933–8947. 40 indexed citations
15.
Liu, Xin, Long Zhao, Yuan Wang, et al.. (2016). Design and Synthesis of a Novel Series of Opioid Dipeptides and Evaluation of Their Analgesic Effectin Vivo. Acta Chimica Sinica. 74(1). 44–44. 1 indexed citations
16.
Zeng, Qian, Yixin Zhang, Xiaofang Li, et al.. (2016). Neurokinin-1 receptor mediated breast cancer cell migration by increased expression of MMP-2 and MMP-14. European Journal of Cell Biology. 95(10). 368–377. 22 indexed citations
17.
Zhang, Yixin, Xiaofang Li, Hui Hu, et al.. (2016). Human hemokinin-1 promotes migration of melanoma cells and increases MMP-2 and MT1-MMP expression by activating tumor cell NK1 receptors. Peptides. 83. 8–15. 10 indexed citations
18.
Liu, Xin, Long Zhao, Yuan Wang, et al.. (2015). Design, synthesis, and evaluation of new endomorphin analogs with enhanced central antinociception after peripheral administration. Bioorganic & Medicinal Chemistry Letters. 25(22). 5393–5397. 9 indexed citations
19.
20.
Mou, Lingyun, et al.. (2010). The N-terminal domain of human hemokinin-1 influences functional selectivity property for tachykinin receptor neurokinin-1. Biochemical Pharmacology. 81(5). 661–668. 18 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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