Zhimin Long

789 total citations
21 papers, 596 citations indexed

About

Zhimin Long is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Zhimin Long has authored 21 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Physiology and 8 papers in Epidemiology. Recurrent topics in Zhimin Long's work include Alzheimer's disease research and treatments (9 papers), Autophagy in Disease and Therapy (7 papers) and Histone Deacetylase Inhibitors Research (4 papers). Zhimin Long is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Autophagy in Disease and Therapy (7 papers) and Histone Deacetylase Inhibitors Research (4 papers). Zhimin Long collaborates with scholars based in China, Canada and United States. Zhimin Long's co-authors include Guiqiong He, Kejian Wang, Yueyang Zhao, Zhenrui Cao, Yanhao Wang, Min Feng, Lei Zhao, Guiqiong He, Jingfei Chen and Yingxiong Wang and has published in prestigious journals such as Cancer Research, Scientific Reports and Frontiers in Pharmacology.

In The Last Decade

Zhimin Long

21 papers receiving 591 citations

Peers

Zhimin Long
Shigong Zhu China
Zhenzhen Qu China
Batbayar Tumurbaatar United States
Mojtaba Golpich Malaysia
M O Kim South Korea
Eric Duplus France
In-Young Choi South Korea
Zelin Li China
Leila Khalaj Iran
Dinesh Joshi United States
Shigong Zhu China
Zhimin Long
Citations per year, relative to Zhimin Long Zhimin Long (= 1×) peers Shigong Zhu

Countries citing papers authored by Zhimin Long

Since Specialization
Citations

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

Fields of papers citing papers by Zhimin Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhimin Long

This figure shows the co-authorship network connecting the top 25 collaborators of Zhimin Long. A scholar is included among the top collaborators of Zhimin Long 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 Zhimin Long. Zhimin Long 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.
Long, Zhimin, Yueyang Zhao, Yuanjie Liu, et al.. (2024). Enhanced autophagic clearance of amyloid-β via histone deacetylase 6-mediated V-ATPase assembly and lysosomal acidification protects against Alzheimer’s disease in vitro and in vivo. Neural Regeneration Research. 20(9). 2633–2644. 7 indexed citations
2.
3.
Feng, Min, et al.. (2021). Allergic Asthma-Induced Cognitive Impairment is Alleviated by Dexamethasone. Frontiers in Pharmacology. 12. 680815–680815. 26 indexed citations
4.
Qiu, Yu, Yueyang Zhao, Zhimin Long, et al.. (2021). Liquiritigenin promotes osteogenic differentiation and prevents bone loss via inducing auto-lysosomal degradation and inhibiting apoptosis. Genes & Diseases. 10(1). 284–300. 7 indexed citations
5.
Zhou, Wen, Xiao Deng, Yueyang Zhao, et al.. (2021). Enhanced Autolysosomal Function Ameliorates the Inflammatory Response Mediated by the NLRP3 Inflammasome in Alzheimer’s Disease. Frontiers in Aging Neuroscience. 13. 629891–629891. 21 indexed citations
6.
Luo, Min, Qinghua Zeng, Kai Jiang, et al.. (2021). Estrogen deficiency exacerbates learning and memory deficits associated with glucose metabolism disorder in APP/PS1 double transgenic female mice. Genes & Diseases. 9(5). 1315–1331. 22 indexed citations
7.
Sun, Liang, Xiaoqin Yang, Yizhou Yao, et al.. (2020). 2-Hydroxylation of Fatty Acids Represses Colorectal Tumorigenesis and Metastasis via the YAP Transcriptional Axis. Cancer Research. 81(2). 289–302. 32 indexed citations
8.
Zhao, Yueyang, Zhimin Long, Tingting Jiang, et al.. (2020). Dihydroartemisinin Ameliorates Learning and Memory in Alzheimer’s Disease Through Promoting Autophagosome-Lysosome Fusion and Autolysosomal Degradation for Aβ Clearance. Frontiers in Aging Neuroscience. 12. 47–47. 38 indexed citations
9.
Long, Zhimin, Jingfei Chen, Yueyang Zhao, et al.. (2020). Dynamic changes of autophagic flux induced by Abeta in the brain of postmortem Alzheimer’s disease patients, animal models and cell models. Aging. 12(11). 10912–10930. 36 indexed citations
10.
Zeng, Qinghua, Zhimin Long, Min Feng, et al.. (2019). Valproic Acid Stimulates Hippocampal Neurogenesis via Activating the Wnt/β-Catenin Signaling Pathway in the APP/PS1/Nestin-GFP Triple Transgenic Mouse Model of Alzheimer’s Disease. Frontiers in Aging Neuroscience. 11. 62–62. 53 indexed citations
11.
Cao, Zhenrui, Yanhao Wang, Zhimin Long, & Guiqiong He. (2019). Interaction between autophagy and the NLRP3 inflammasome. Acta Biochimica et Biophysica Sinica. 51(11). 1087–1095. 88 indexed citations
12.
Chen, Jingfei, et al.. (2019). Alteration of the Wnt/GSK3β/β‑catenin signalling pathway by rapamycin ameliorates pathology in an Alzheimer's disease model. International Journal of Molecular Medicine. 44(1). 313–323. 33 indexed citations
13.
Feng, Min, Bo Yang, Zhimin Long, et al.. (2018). Effects of ovarian hormone loss on neuritic plaques and autophagic flux in the brains of adult female APP/PS1 double-transgenic mice. Acta Biochimica et Biophysica Sinica. 50(5). 447–455. 14 indexed citations
14.
Nie, Qixing, Haihong Chen, Jielun Hu, et al.. (2018). Arabinoxylan Attenuates Type 2 Diabetes by Improvement of Carbohydrate, Lipid, and Amino Acid Metabolism. Molecular Nutrition & Food Research. 62(20). e1800222–e1800222. 72 indexed citations
15.
Xu, Wenqi, Guanzhao Liang, Jingwen Peng, et al.. (2017). The influence of the mating type on virulence of Mucor irregularis. Scientific Reports. 7(1). 10629–10629. 9 indexed citations
16.
Xu, Wenqi, Jingwen Peng, Dongmei Li, et al.. (2017). Transcriptional profile of the human skin pathogenic fungus Mucor irregularis in response to low oxygen. Medical Mycology. 56(5). 631–644. 9 indexed citations
17.
Long, Zhimin, Qinghua Zeng, Kejian Wang, Akhilesh Sharma, & Guiqiong He. (2016). Gender difference in valproic acid-induced neuroprotective effects on APP/PS1 double transgenic mice modeling Alzheimer's disease. Acta Biochimica et Biophysica Sinica. 48(10). 930–938. 18 indexed citations
18.
Long, Zhimin, Lei Zhao, Rong Jiang, et al.. (2015). Valproic Acid Modifies Synaptic Structure and Accelerates Neurite Outgrowth Via the Glycogen Synthase Kinase‐3β Signaling Pathway in an Alzheimer's Disease Model. CNS Neuroscience & Therapeutics. 21(11). 887–897. 51 indexed citations
19.
Long, Zhimin, et al.. (2013). Valproic Acid Attenuates Neuronal Loss in the Brain of APP/PS1 Double Transgenic Alzheimer’s Disease Mice Model. Current Alzheimer Research. 10(3). 261–269. 37 indexed citations
20.
Long, Zhimin, et al.. (2011). Effect of Normobaric Hyperoxia on Behavioral Deficits and Neuropathology in Alzheimer's Disease Mouse Model. Journal of Alzheimer s Disease. 27(2). 317–326. 11 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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