Lingli Yan

621 total citations
19 papers, 448 citations indexed

About

Lingli Yan is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lingli Yan has authored 19 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Physiology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lingli Yan's work include Alzheimer's disease research and treatments (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Lingli Yan is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Lingli Yan collaborates with scholars based in China, Macao and Taiwan. Lingli Yan's co-authors include Ming Zhou, Huanxing Su, Yuanyuan Deng, Qihai Gong, Jianmei Gao, Yuangui Liu, Senthil Kumaran Satyanarayanan, Haibo Cai, Yang Shi and Xiaoli Yao and has published in prestigious journals such as Advanced Materials, Cell Reports and Brain Behavior and Immunity.

In The Last Decade

Lingli Yan

18 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingli Yan China 14 168 94 81 66 55 19 448
Lanhai Lü China 14 307 1.8× 66 0.7× 76 0.9× 29 0.4× 106 1.9× 27 629
Junling Yang China 14 205 1.2× 87 0.9× 42 0.5× 43 0.7× 63 1.1× 24 465
Camille A. Juźwik Canada 8 345 2.1× 64 0.7× 88 1.1× 73 1.1× 101 1.8× 9 628
Shengdan Nie China 13 197 1.2× 45 0.5× 71 0.9× 47 0.7× 28 0.5× 24 457
Prashant Kumar Modi India 17 313 1.9× 61 0.6× 84 1.0× 32 0.5× 31 0.6× 58 708
Luis Javier Flores-Alvarado Mexico 6 216 1.3× 49 0.5× 54 0.7× 80 1.2× 157 2.9× 21 549
Karim Lahjouji Canada 14 216 1.3× 79 0.8× 96 1.2× 47 0.7× 26 0.5× 17 546
Zhiwei Feng China 15 242 1.4× 94 1.0× 44 0.5× 64 1.0× 18 0.3× 29 531
Alireza Kheirollah Iran 14 260 1.5× 67 0.7× 99 1.2× 37 0.6× 34 0.6× 64 536
Yuta Ohno Japan 13 224 1.3× 64 0.7× 60 0.7× 36 0.5× 41 0.7× 39 480

Countries citing papers authored by Lingli Yan

Since Specialization
Citations

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

Fields of papers citing papers by Lingli Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingli Yan

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

All Works

19 of 19 papers shown
1.
Li, Yunhao, Yao Qin, Lingli Yan, et al.. (2024). Lycorine protects motor neurons against TDP-43 proteinopathy-induced degeneration in cross-species models with amyotrophic lateral sclerosis. Pharmacological Research. 210. 107518–107518. 2 indexed citations
2.
Yan, Lingli, Chaoyong Liu, Yu‐Qi Feng, et al.. (2024). Polymer‐Formulated Nerve Growth Factor Shows Effective Therapeutic Efficacy for Cerebral Microinfarcts. Advanced Materials. 37(3). e2412843–e2412843.
3.
Fu, Cheng, et al.. (2023). Therapeutic plasma exchange-free treatment for first-episode TTP: A systematic review. Transfusion and Apheresis Science. 62(3). 103661–103661. 2 indexed citations
4.
Zhao, Zi‐Ai, Lingli Yan, Senthil Kumaran Satyanarayanan, et al.. (2023). Cellular and molecular mechanisms in vascular repair after traumatic brain injury: a narrative review. Burns & Trauma. 11. tkad033–tkad033. 15 indexed citations
5.
Satyanarayanan, Senthil Kumaran, Ang Li, Lingli Yan, et al.. (2023). Unraveling the impact of Omega-3 polyunsaturated fatty acids on blood-brain barrier (BBB) integrity and glymphatic function. Brain Behavior and Immunity. 115. 335–355. 30 indexed citations
6.
Zhang, Ke, Ang Li, Lingli Yan, et al.. (2023). DIAPH3 condensates formed by liquid-liquid phase separation act as a regulatory hub for stress-induced actin cytoskeleton remodeling. Cell Reports. 42(1). 111986–111986. 16 indexed citations
7.
Chong, Cheong‐Meng, Yuan Tan, Ke Zhang, et al.. (2022). Presenilin-1 F105C mutation leads to tau accumulation in human neurons via the Akt/mTORC1 signaling pathway. Cell & Bioscience. 12(1). 131–131. 4 indexed citations
8.
Mu, Ruoyu, Yuhan Zhang, Lingli Yan, et al.. (2021). A “Bridge‐Building” Glycan Scaffold Mimicking Microbial Invasion for In Situ Endothelialization. Advanced Materials. 33(42). e2103490–e2103490. 19 indexed citations
9.
Yan, Lingli, Haitao Zeng, Wei–Neng Chen, et al.. (2020). Fish oil protects the blood–brain barrier integrity in a mouse model of Alzheimer’s disease. Chinese Medicine. 15(1). 29–29. 19 indexed citations
10.
Yan, Lingli, et al.. (2020). <p>PRDX1 is a Tumor Suppressor for Nasopharyngeal Carcinoma by Inhibiting PI3K/AKT/TRAF1 Signaling</p>. OncoTargets and Therapy. Volume 13. 9123–9133. 17 indexed citations
11.
Yan, Lingli, Senthil Kumaran Satyanarayanan, Haitao Zeng, et al.. (2019). Omega-3 polyunsaturated fatty acids promote brain-to-blood clearance of β-Amyloid in a mouse model with Alzheimer’s disease. Brain Behavior and Immunity. 85. 35–45. 44 indexed citations
12.
Liu, Qiang, Lingli Yan, Haitao Zeng, et al.. (2019). Experimental alcoholism primes structural and functional impairment of the glymphatic pathway. Brain Behavior and Immunity. 85. 106–119. 25 indexed citations
13.
Yan, Lingli, et al.. (2019). Target selection of CAR T cell therapy in accordance with the TME for solid tumors.. PubMed. 9(2). 228–241. 68 indexed citations
14.
Kong, Qianqian, et al.. (2018). Codon optimization significantly enhanced the expression of human 37-kDa iLRP in Escherichia coli. 3 Biotech. 8(4). 210–210. 17 indexed citations
15.
Yan, Lingli, et al.. (2018). Critical factors in chimeric antigen receptor-modified T-cell (CAR-T) therapy for solid tumors. OncoTargets and Therapy. Volume 12. 193–204. 20 indexed citations
16.
17.
Yan, Lingli, Yuanyuan Deng, Jianmei Gao, et al.. (2017). Icariside II Effectively Reduces Spatial Learning and Memory Impairments in Alzheimer’s Disease Model Mice Targeting Beta-Amyloid Production. Frontiers in Pharmacology. 8. 106–106. 42 indexed citations
18.
Yan, Lingli, Haibo Cai, Yiqi Chen, & Wen‐Song Tan. (2009). [Effect of hepatocyte-like cells induced by CD34+ cells in vitro on the repair of injured hepatic tissues of mice in vivo].. PubMed. 23(10). 1235–40. 2 indexed citations
19.
Cai, Haibo, et al.. (2008). Comparison between the effects of normoxia and hypoxia on antioxidant enzymes and glutathione redox state in ex vivo culture of CD34+ cells. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 151(2). 153–158. 53 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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