Ping Luan

1.2k total citations
47 papers, 970 citations indexed

About

Ping Luan is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ping Luan has authored 47 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Neurology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ping Luan's work include Alzheimer's disease research and treatments (6 papers), Nanocluster Synthesis and Applications (5 papers) and Neurological Disease Mechanisms and Treatments (5 papers). Ping Luan is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Nanocluster Synthesis and Applications (5 papers) and Neurological Disease Mechanisms and Treatments (5 papers). Ping Luan collaborates with scholars based in China, United States and Russia. Ping Luan's co-authors include Beibei Gu, Songhua Xiao, Jun Liu, Wang Liao, Shengnuo Fan, Wenli Fang, Lianhong Yang, Enxiang Tao, Jun Liu and Longbao Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Biomaterials.

In The Last Decade

Ping Luan

44 papers receiving 958 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Luan China 17 260 208 188 169 109 47 970
Ruixi Li China 25 427 1.6× 145 0.7× 150 0.8× 196 1.2× 31 0.3× 67 1.4k
Zhiyong He China 21 632 2.4× 107 0.5× 115 0.6× 216 1.3× 70 0.6× 74 1.4k
Yujing Wang China 18 341 1.3× 196 0.9× 126 0.7× 62 0.4× 112 1.0× 55 1.1k
Huiling Gao China 25 696 2.7× 292 1.4× 199 1.1× 222 1.3× 72 0.7× 59 1.5k
Huicui Yang China 14 311 1.2× 76 0.4× 48 0.3× 66 0.4× 139 1.3× 24 842
Yan Xiao China 22 526 2.0× 149 0.7× 534 2.8× 181 1.1× 30 0.3× 67 1.4k
Zhiqin Gao China 25 643 2.5× 276 1.3× 53 0.3× 93 0.6× 345 3.2× 77 1.6k
Chen-Meng Qiao China 18 545 2.1× 333 1.6× 72 0.4× 174 1.0× 200 1.8× 35 1.2k
Vincenzo Giuseppe Nicoletti Italy 24 621 2.4× 110 0.5× 80 0.4× 431 2.6× 98 0.9× 49 1.5k
Giuseppe Nicolardi Italy 21 353 1.4× 100 0.5× 46 0.2× 208 1.2× 70 0.6× 51 1.5k

Countries citing papers authored by Ping Luan

Since Specialization
Citations

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

Fields of papers citing papers by Ping Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Luan

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Luan. A scholar is included among the top collaborators of Ping Luan 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 Ping Luan. Ping Luan 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.
Chen, Tongkai, Jun Li, Dongqing Huang, et al.. (2025). Design, current states, and challenges of nanomaterials in anti-neuroinflammation: A perspective on Alzheimer’s disease. Ageing Research Reviews. 105. 102669–102669. 4 indexed citations
2.
3.
Wang, Yulin, Lei Wang, Jun Li, et al.. (2025). Advance and Prospect of Positron Emission Tomography in Alzheimer’s disease research. Molecular Psychiatry. 30(10). 4899–4909. 4 indexed citations
4.
Zhao, Xin, Weibin Cheng, Yan Huang, et al.. (2024). Analysis of gait characteristics and related factors in patients with Parkinson's disease based on wearable devices. Brain and Behavior. 14(4). e3440–e3440. 4 indexed citations
5.
Chen, Junyu, et al.. (2024). Caloric restriction leading to attenuation of experimental Alzheimer's disease results from alterations in gut microbiome. CNS Neuroscience & Therapeutics. 30(7). e14823–e14823. 4 indexed citations
6.
Liao, Wang, Dongqing Huang, Meitong Ou, et al.. (2023). Current strategies of detecting Aβ species and inhibiting Aβ aggregation: Status and prospects. Coordination Chemistry Reviews. 495. 215375–215375. 19 indexed citations
7.
Wang, Weiping, Haiyan Zhao, Zhen Wang, et al.. (2023). Target localization intervention and prognosis evaluation for an individual with mild cognitive impairment. SHILAP Revista de lepidopterología. 1(3). 3 indexed citations
8.
Yang, Yuanyuan, Ziyi Mai, Yanxin Zhang, et al.. (2023). A Cascade Targeted and Mitochondrion-Dysfunctional Nanomedicine Capable of Overcoming Drug Resistance in Hepatocellular Carcinoma. ACS Nano. 17(2). 1275–1286. 30 indexed citations
9.
Wang, Weiping, Ruiying Du, Zhen Wang, et al.. (2023). Edge‐centric functional network reveals new spatiotemporal biomarkers of early mild cognitive impairment. SHILAP Revista de lepidopterología. 1(3). 3 indexed citations
10.
Liu, Xianjing, Zhenhui Li, Z.P. Cao, et al.. (2021). A combination of genome-wide association study and selection signature analysis dissects the genetic architecture underlying bone traits in chickens. animal. 15(8). 100322–100322. 24 indexed citations
11.
Wang, Mengyun, et al.. (2018). Concurrent mapping of brain activation from multiple subjects during social interaction by hyperscanning: a mini-review. Quantitative Imaging in Medicine and Surgery. 8(8). 819–837. 1 indexed citations
12.
Fang, Wenli, Fei Wang, Mei Li, et al.. (2017). Neurotropin® alleviates hippocampal neuron damage through a HIF‐1α/MAPK pathway. CNS Neuroscience & Therapeutics. 23(5). 428–437. 38 indexed citations
13.
Zhang, Hui, Zhi‐Qiang Du, Z.P. Cao, et al.. (2017). Genetic selection on abdominal fat content alters the reproductive performance of broilers. animal. 12(6). 1232–1241. 50 indexed citations
14.
Xiao, Songhua, Ping Luan, Beibei Gu, et al.. (2016). Graphene quantum dots conjugated neuroprotective peptide improve learning and memory capability. Biomaterials. 106. 98–110. 142 indexed citations
15.
Xu, Li, et al.. (2015). Estimating the genetic parameters for liver fat traits in broiler lines divergently selected for abdominal fat. Genetics and Molecular Research. 14(3). 9646–9654. 10 indexed citations
16.
Liu, Wei‐Ye, Zhibin Wang, Yue Wang, et al.. (2015). Increasing the Permeability of the Blood–brain Barrier in Three Different Models in vivo. CNS Neuroscience & Therapeutics. 21(7). 568–574. 54 indexed citations
17.
Yang, Chun, et al.. (2015). Transplanted Adipose‐Derived Stem Cells Ameliorate Testicular Dysfunction In A D‐Galactose–Induced Aging Rat Model. Journal of Cellular Physiology. 230(10). 2403–2414. 23 indexed citations
18.
Luan, Ping, Songhua Xiao, Jia Zhao, et al.. (2012). Edaravone ProtectsHT22 Neurons from H2O2‐induced Apoptosis by Inhibiting theMAPKSignaling Pathway. CNS Neuroscience & Therapeutics. 19(3). 163–169. 96 indexed citations
19.
Luo, Dan, Songhua Xiao, Lianhong Yang, et al.. (2012). Kallikrein Gene Transfer Induces Angiogenesis and Further Improves Regional Cerebral Blood Flow in the Early Period After Cerebral Ischemia/Reperfusion in Rats. CNS Neuroscience & Therapeutics. 18(5). 395–399. 13 indexed citations
20.
Luan, Ping. (2006). Tyrosine Hydroxylase as a Target for Deltamethrin in the Nigrostriatal Dopaminergic Pathway. 15 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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