Ling He

2.9k total citations
105 papers, 2.3k citations indexed

About

Ling He is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Ling He has authored 105 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 23 papers in Cellular and Molecular Neuroscience and 22 papers in Physiology. Recurrent topics in Ling He's work include Alzheimer's disease research and treatments (18 papers), Drug Transport and Resistance Mechanisms (15 papers) and Neuroinflammation and Neurodegeneration Mechanisms (13 papers). Ling He is often cited by papers focused on Alzheimer's disease research and treatments (18 papers), Drug Transport and Resistance Mechanisms (15 papers) and Neuroinflammation and Neurodegeneration Mechanisms (13 papers). Ling He collaborates with scholars based in China, United States and Macao. Ling He's co-authors include Muhammad Zahid Khan, Guoqing Liu, Bian‐Sheng Ji, Tong Chen, Xiaoping Rao, Zhanqian Song, Shengnan Liu, Jing‐Gen Liu, Ming Yan and Luyong Zhang and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Journal of Hazardous Materials.

In The Last Decade

Ling He

100 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling He China 30 977 382 373 319 301 105 2.3k
Yossi Gilgun‐Sherki Israel 20 949 1.0× 405 1.1× 437 1.2× 434 1.4× 175 0.6× 39 2.8k
Fei Huang China 28 1.1k 1.1× 204 0.5× 390 1.0× 327 1.0× 261 0.9× 101 2.5k
Qi Yang China 29 831 0.9× 533 1.4× 413 1.1× 247 0.8× 189 0.6× 122 2.4k
Divya Vohora India 32 998 1.0× 597 1.6× 335 0.9× 204 0.6× 273 0.9× 163 3.2k
Weiwei Chen China 20 774 0.8× 202 0.5× 611 1.6× 407 1.3× 223 0.7× 73 2.5k
Lu Yang China 30 1.3k 1.3× 208 0.5× 310 0.8× 197 0.6× 330 1.1× 151 3.2k
Mohammad Shamsul Ola Saudi Arabia 30 1.4k 1.5× 381 1.0× 332 0.9× 317 1.0× 179 0.6× 103 3.3k
Sidharth Mehan India 29 1.0k 1.1× 338 0.9× 324 0.9× 387 1.2× 102 0.3× 123 2.5k
Michela Campolo Italy 38 1.4k 1.4× 325 0.9× 559 1.5× 591 1.9× 190 0.6× 144 3.7k
Yuan‐Fu Lu China 35 1.4k 1.4× 196 0.5× 345 0.9× 238 0.7× 395 1.3× 93 3.2k

Countries citing papers authored by Ling He

Since Specialization
Citations

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

Fields of papers citing papers by Ling He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling He

This figure shows the co-authorship network connecting the top 25 collaborators of Ling He. A scholar is included among the top collaborators of Ling He 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 Ling He. Ling He 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, Xiaoyun, Ling He, Shanshan Wang, et al.. (2025). Dual Regulation of DNA Methylation Orchestrates the Saline-Alkali Stress Response in Salt-Tolerant Brassica napus. Journal of Agricultural and Food Chemistry. 73(42). 27099–27114.
2.
Zhang, Chu, Jie Song, Xinqi He, et al.. (2025). Molecular mechanisms and therapeutic strategies of GPX4 regulation in acute kidney injury. Pharmacological Reports. 78(1). 218–235. 1 indexed citations
3.
Cao, Yu, Yudi Zhao, Zicheng Zhang, et al.. (2025). Arbutin ameliorated depression by inhibiting neuroinflammation and modulating intestinal flora. Phytomedicine. 145. 156944–156944. 3 indexed citations
4.
Wang, Yanan, et al.. (2024). Sex differences in luteinizing hormone aggravates Aβ deposition in APP/PS1 and Aβ1-42-induced mouse models of Alzheimer's disease. European Journal of Pharmacology. 970. 176485–176485. 1 indexed citations
5.
Sun, Yi, Chao Liu, & Ling He. (2024). Adenosine A2A Receptor Antagonist Sch58261 Improves the Cognitive Function in Alzheimer’s Disease Model Mice Through Activation of Nrf2 via an Autophagy-Dependent Pathway. Antioxidants and Redox Signaling. 41(16-18). 1117–1133. 3 indexed citations
6.
7.
Xiao, Zhenghua, et al.. (2023). A wireless physiological parameter monitoring system with a treatment feedback function during neonatal phototherapy. Physiological Measurement. 44(9). 95002–95002. 1 indexed citations
8.
He, Ling, Zhen‐Ni Guo, Yang Qu, et al.. (2023). Effect of dynamic cerebral autoregulation on the association between deep medullary vein changes and cerebral small vessel disease. Frontiers in Physiology. 14. 1037871–1037871. 2 indexed citations
9.
He, Ling, Zhen‐Ni Guo, Yang Qu, & Hang Jin. (2022). Hyponatremia Is Associated With Post-thrombolysis Hemorrhagic Transformation and Poor Clinical Outcome in Ischemic Stroke Patients. Frontiers in Molecular Neuroscience. 15. 879863–879863. 5 indexed citations
10.
Wang, Chen, et al.. (2021). Sodium butyrate ameliorates the cognitive impairment of Alzheimer’s disease by regulating the metabolism of astrocytes. Psychopharmacology. 239(1). 215–227. 50 indexed citations
11.
Hu, Yuhui, et al.. (2021). DRD1 agonist A-68930 improves mitochondrial dysfunction and cognitive deficits in a streptozotocin-induced mouse model. Brain Research Bulletin. 175. 136–149. 9 indexed citations
12.
He, Ling, et al.. (2020). Disrupted ubiquitin proteasome system underlying tau accumulation in Alzheimer’s disease. Neurobiology of Aging. 99. 79–85. 32 indexed citations
13.
Sun, Yi, Jiaxuan Huang, Yufei Chen, et al.. (2020). Direct inhibition of Keap1-Nrf2 Protein-Protein interaction as a potential therapeutic strategy for Alzheimer's disease. Bioorganic Chemistry. 103. 104172–104172. 53 indexed citations
14.
Wu, Chunhui, Yu Wang, Feipu Yang, et al.. (2019). Synthesis and Biological Evaluation of Five‐Atom‐Linker‐Based Arylpiperazine Derivatives with an Atypical Antipsychotic Profile. ChemMedChem. 14(24). 2042–2051. 7 indexed citations
15.
Khan, Muhammad Zahid & Ling He. (2017). Neuro-psychopharmacological perspective of Orphan receptors of Rhodopsin (class A) family of G protein-coupled receptors. Psychopharmacology. 234(8). 1181–1207. 40 indexed citations
16.
Khan, Muhammad Zahid, Ling He, & Xu‐Xu Zhuang. (2016). The emerging role of GPR50 receptor in brain. Biomedicine & Pharmacotherapy. 78. 121–128. 17 indexed citations
17.
Wang, Yujun, et al.. (2015). The role of the dynorphin/κ opioid receptor system in anxiety. Acta Pharmacologica Sinica. 36(7). 783–790. 51 indexed citations
18.
Ji, Haixia, Jingjing Duan, Zhirong Jia, et al.. (2013). The Synthetic Melanocortin (CKPV)2 Exerts Anti-Fungal and Anti-Inflammatory Effects against Candida albicans Vaginitis via Inducing Macrophage M2 Polarization. PLoS ONE. 8(2). e56004–e56004. 12 indexed citations
19.
He, Ling. (2010). Advances in Research on Mechanisms of Myocardial Ischemia-reperfusion Injury and Related Therapeutic Drugs. 2 indexed citations
20.
Ji, Bian‐Sheng, et al.. (2006). CJZ3, a lomerizine derivative, modulates P-glycoprotein function in rat brain microvessel endothelial cells1. Acta Pharmacologica Sinica. 27(4). 414–418. 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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