Longze Sha

517 total citations
35 papers, 390 citations indexed

About

Longze Sha is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Longze Sha has authored 35 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 14 papers in Molecular Biology and 8 papers in Cognitive Neuroscience. Recurrent topics in Longze Sha's work include Neuroscience and Neuropharmacology Research (10 papers), Alzheimer's disease research and treatments (7 papers) and Neuroscience and Neural Engineering (7 papers). Longze Sha is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Alzheimer's disease research and treatments (7 papers) and Neuroscience and Neural Engineering (7 papers). Longze Sha collaborates with scholars based in China and United Kingdom. Longze Sha's co-authors include Qi Xu, Yan Shen, Liwen Wu, Jing Li, Xueqin Wang, Yuan Yao, Wanchen Dou, Liri Jin, Dan Zhang and Yilin Song and has published in prestigious journals such as The Journal of Experimental Medicine, PLoS ONE and ACS Applied Materials & Interfaces.

In The Last Decade

Longze Sha

32 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Longze Sha China 10 187 162 76 61 61 35 390
Florian Gerich Germany 8 138 0.7× 201 1.2× 21 0.3× 117 1.9× 69 1.1× 10 525
Aline Winkelmann Germany 11 263 1.4× 279 1.7× 25 0.3× 36 0.6× 47 0.8× 13 501
Laetitia Francelle France 11 206 1.1× 291 1.8× 40 0.5× 35 0.6× 82 1.3× 14 545
Antara Rao United States 9 228 1.2× 245 1.5× 31 0.4× 86 1.4× 165 2.7× 11 594
Federica Mastroiacovo Italy 12 260 1.4× 233 1.4× 29 0.4× 122 2.0× 100 1.6× 23 556
Qihui Wu China 15 266 1.4× 279 1.7× 23 0.3× 85 1.4× 180 3.0× 30 695
Devon C. Crawford United States 12 322 1.7× 289 1.8× 20 0.3× 54 0.9× 38 0.6× 18 593
Julia Oyrer Australia 8 348 1.9× 219 1.4× 95 1.3× 32 0.5× 30 0.5× 8 490
Jan Lopatář United Kingdom 7 240 1.3× 141 0.9× 39 0.5× 133 2.2× 57 0.9× 7 460
Hirofumi Tokuoka Japan 13 206 1.1× 184 1.1× 31 0.4× 22 0.4× 58 1.0× 23 459

Countries citing papers authored by Longze Sha

Since Specialization
Citations

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

Fields of papers citing papers by Longze Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longze Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Longze Sha. A scholar is included among the top collaborators of Longze Sha 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 Longze Sha. Longze Sha 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.
Sha, Longze, et al.. (2025). Pharmacological inhibition of PSPH reduces serine levels and epileptic seizures. Nature Chemical Biology. 21(11). 1742–1753. 2 indexed citations
2.
Sha, Longze, Xiaolin Yu, Yanbing Wang, et al.. (2025). Identification of TMED10 as A Regulator for Neuronal Exocytosis of Amyloid Beta 42. Neuroscience Bulletin. 42(2). 403–418.
3.
Liu, Yaoyao, Shihong Xu, Jinping Luo, et al.. (2024). SWCNTs/PEDOT:PSS nanocomposites-modified microelectrode arrays for revealing locking relations between burst and local field potential in cultured cortical networks. Biosensors and Bioelectronics. 253. 116168–116168. 3 indexed citations
4.
Yang, Yan, Shihong Xu, Yaoyao Liu, et al.. (2024). Simulation and fabrication of in vitro microfluidic microelectrode array chip for patterned culture and electrophysiological detection of neurons. Nanotechnology and Precision Engineering. 7(2). 1 indexed citations
5.
Li, Jing, Longze Sha, & Qi Xu. (2023). Long-term outcomes of classic and novel anti-seizure medication in a kainate-induced model of chronic epilepsy. Epilepsy Research. 191. 107095–107095. 7 indexed citations
6.
Yang, Yan, Shihong Xu, Yaoyao Liu, et al.. (2023). PPy/SWCNTs-Modified Microelectrode Array for Learning and Memory Model Construction through Electrical Stimulation and Detection of In Vitro Hippocampal Neuronal Network. ACS Applied Bio Materials. 6(9). 3414–3422. 7 indexed citations
7.
8.
9.
Dong, Liling, Jie Li, Caiyan Liu, et al.. (2021). Effects of ApoE genotype on clinical phenotypes in early‐onset and late‐onset Alzheimer's disease in China: Data from the PUMCH dementia cohort. Brain and Behavior. 11(11). e2373–e2373. 6 indexed citations
10.
Mao, Chenhui, Longze Sha, Caiyan Liu, et al.. (2020). Cerebrospinal Fluid Alzheimer’s Biomarkers and Neurofilament Light Profile of Idiopathic Normal Pressure Hydrocephalus in China: A PUMCH Cohort Study. Neurodegenerative Diseases. 20(5-6). 165–172. 5 indexed citations
11.
Li, Jing, Longze Sha, & Qi Xu. (2020). An early increase in glutamate is critical for the development of depression-like behavior in a chronic restraint stress (CRS) model. Brain Research Bulletin. 162. 59–66. 18 indexed citations
12.
Sha, Longze, Ting Chen, Tingfu Du, et al.. (2020). Hsp90 inhibitor HSP990 in very low dose upregulates EAAT2 and exerts potent antiepileptic activity. Theranostics. 10(18). 8415–8429. 16 indexed citations
13.
Xuan, Wei, et al.. (2018). Comparison of β-Amyloid Plaque Labeling Methods: Antibody Staining, Gallyas Silver Staining, and Thioflavin-S Staining. Chinese Medical Sciences Journal. 33(3). 167–173. 10 indexed citations
14.
Chen, Ting, et al.. (2018). A cynomolgus monkey model of temporal lobe epilepsy. Brain Research Bulletin. 144. 187–193. 9 indexed citations
15.
Wang, Xueqin, et al.. (2016). Deletion of mTOR in Reactive Astrocytes Suppresses Chronic Seizures in a Mouse Model of Temporal Lobe Epilepsy. Molecular Neurobiology. 54(1). 175–187. 31 indexed citations
16.
Sha, Longze, Xueqin Wang, Jing Li, et al.. (2016). Pharmacologic inhibition of Hsp90 to prevent GLT-1 degradation as an effective therapy for epilepsy. The Journal of Experimental Medicine. 214(2). 547–563. 61 indexed citations
17.
Sha, Zhiqiang, Longze Sha, Wenting Li, et al.. (2015). Exome sequencing identifies SUCO mutations in mesial temporal lobe epilepsy. Neuroscience Letters. 591. 149–154. 5 indexed citations
18.
Sha, Longze, Xiaofeng Wu, Yuan Yao, et al.. (2013). Notch Signaling Activation Promotes Seizure Activity in Temporal Lobe Epilepsy. Molecular Neurobiology. 49(2). 633–644. 40 indexed citations
19.
Sha, Longze, Dan Zhang, Yuan Yao, et al.. (2012). Mapping the Spatio-Temporal Pattern of the Mammalian Target of Rapamycin (mTOR) Activation in Temporal Lobe Epilepsy. PLoS ONE. 7(6). e39152–e39152. 63 indexed citations
20.
Sha, Longze, et al.. (2012). Spatio-temporal Expression Study of Phosphorylated 70-kDa Ribosomal S6 Kinase (p70S6k) in Mesial Temporal Lobe Epilepsy. Chinese Medical Sciences Journal. 27(1). 7–10. 1 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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