Jie‐Min Jia

1.4k total citations
27 papers, 974 citations indexed

About

Jie‐Min Jia is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Jie‐Min Jia has authored 27 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Neurology. Recurrent topics in Jie‐Min Jia's work include Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and High Temperature Alloys and Creep (5 papers). Jie‐Min Jia is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and High Temperature Alloys and Creep (5 papers). Jie‐Min Jia collaborates with scholars based in China, United States and France. Jie‐Min Jia's co-authors include Zheng Li, Song Jiao, Kwangwook Cho, Jihoon Jo, Morgan Sheng, Shih‐Ching Lo, Daniel J. Whitcomb, Woo‐Ping Ge, Zhonghua Hu and Daniel M. Lindberg and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jie‐Min Jia

27 papers receiving 961 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jie‐Min Jia China 14 428 333 155 155 91 27 974
Bo Shui United States 16 697 1.6× 316 0.9× 164 1.1× 313 2.0× 28 0.3× 35 1.3k
Tian‐Le Xu China 23 577 1.3× 357 1.1× 117 0.8× 163 1.1× 116 1.3× 34 1.2k
Yasushi Kishimoto Japan 24 500 1.2× 791 2.4× 388 2.5× 101 0.7× 67 0.7× 58 1.5k
Hongyu Zhang China 22 624 1.5× 358 1.1× 190 1.2× 112 0.7× 55 0.6× 43 1.7k
Eunchai Kang United States 18 725 1.7× 492 1.5× 129 0.8× 95 0.6× 641 7.0× 28 1.6k
Chih-Chang Chao Taiwan 16 206 0.5× 237 0.7× 88 0.6× 88 0.6× 109 1.2× 26 828
Jung Hoon Jung South Korea 13 373 0.9× 251 0.8× 111 0.7× 103 0.7× 42 0.5× 24 747
Zhengbo Wang China 18 402 0.9× 127 0.4× 135 0.9× 125 0.8× 28 0.3× 72 954
Guomin Zhou China 22 826 1.9× 355 1.1× 149 1.0× 168 1.1× 233 2.6× 83 1.6k
Ronald S. Reiserer United States 9 264 0.6× 259 0.8× 201 1.3× 261 1.7× 52 0.6× 13 980

Countries citing papers authored by Jie‐Min Jia

Since Specialization
Citations

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

Fields of papers citing papers by Jie‐Min Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jie‐Min Jia. 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 Jie‐Min Jia. The network helps show where Jie‐Min Jia may publish in the future.

Co-authorship network of co-authors of Jie‐Min Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Jie‐Min Jia. A scholar is included among the top collaborators of Jie‐Min Jia 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 Jie‐Min Jia. Jie‐Min Jia 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.
2.
Zhu, Xinghua, Bowen Chen, Jie‐Min Jia, et al.. (2025). Effect of rolling reduction on microstructure and mechanical properties of strong β-stabilized Ti-13V-3Al-3Fe alloy. Journal of Alloys and Compounds. 1018. 179230–179230. 2 indexed citations
3.
Zhang, Yiyi, et al.. (2025). Vasomotion delineates cerebral vascular dynamic features and participates in the homeostatic cerebral blood flow regulation. Scientific Reports. 15(1). 36210–36210. 2 indexed citations
4.
Zhang, Yiyi, Jinze Li, Huiqi Xie, et al.. (2024). High-resolution vasomotion analysis reveals novel arteriole physiological features and progressive modulation of cerebral vascular networks by stroke. Journal of Cerebral Blood Flow & Metabolism. 44(11). 1330–1348. 5 indexed citations
5.
Zhang, Xiaoxuan, Yuxiao Jin, Jinghong Zhao, et al.. (2024). Fate mapping of Spp1 expression reveals age-dependent plasticity of disease-associated microglia-like cells after brain injury. Immunity. 57(2). 349–363.e9. 40 indexed citations
6.
Bai, Jiaming, et al.. (2023). Segregation of alloying elements at planar faults during creep in the PM Ni-based superalloy FGH4096. Materials Letters. 349. 134741–134741. 4 indexed citations
7.
Bai, Jiaming, et al.. (2023). The evolution of γ′ precipitates and hardness response of a novel PM Ni-based superalloy during thermal exposure. Journal of Alloys and Compounds. 942. 168757–168757. 12 indexed citations
8.
Bai, Jiaming, et al.. (2022). Effect of hafnium and tantalum on the microstructure of PM Ni-based superalloys. Journal of Materials Science. 57(12). 6803–6818. 12 indexed citations
9.
Bai, Jiaming, et al.. (2022). Effect of Hf and Ta on the tensile properties of PM Ni-based superalloys. Journal of Alloys and Compounds. 932. 167653–167653. 17 indexed citations
10.
Wang, Xinyue, Yangdong Wang, Hanbin Zhang, et al.. (2022). Dual-expression system for blue fluorescent protein optimization. Scientific Reports. 12(1). 10190–10190. 18 indexed citations
11.
Wang, Fengxiang, Emily Graham, Nathchar Naowarojna, et al.. (2021). PALP: A rapid imaging technique for stratifying ferroptosis sensitivity in normal and tumor tissues in situ. Cell chemical biology. 29(1). 157–170.e6. 25 indexed citations
12.
Li, Xiaoliang, Dongdong Zhang, Chunhui Wang, et al.. (2020). A Versatile Tiling Light Sheet Microscope for Imaging of Cleared Tissues. Cell Reports. 33(5). 108349–108349. 55 indexed citations
13.
Jia, Jie‐Min, et al.. (2018). Control of occlusion of middle cerebral artery in perinatal and neonatal mice with magnetic force. Molecular Brain. 11(1). 47–47. 9 indexed citations
14.
Ge, Woo‐Ping & Jie‐Min Jia. (2015). Local production of astrocytes in the cerebral cortex. Neuroscience. 323. 3–9. 41 indexed citations
15.
Jia, Jie‐Min, Zhonghua Hu, Jacob C. Nordman, & Zheng Li. (2014). The Schizophrenia Susceptibility GeneDysbindinRegulates Dendritic Spine Dynamics. Journal of Neuroscience. 34(41). 13725–13736. 28 indexed citations
16.
Jiao, Song, Jie‐Min Jia, Yong Chen, et al.. (2013). The Novel Caspase-3 Substrate Gap43 is Involved in AMPA Receptor Endocytosis and Long-Term Depression. Molecular & Cellular Proteomics. 12(12). 3719–3731. 55 indexed citations
17.
Jia, Jie‐Min, Jun Zhao, Zhonghua Hu, Daniel M. Lindberg, & Zheng Li. (2013). Age-dependent regulation of synaptic connections by dopamine D2 receptors. Nature Neuroscience. 16(11). 1627–1636. 59 indexed citations
18.
Li, Zheng, Jihoon Jo, Jie‐Min Jia, et al.. (2010). Caspase-3 Activation via Mitochondria Is Required for Long-Term Depression and AMPA Receptor Internalization. Cell. 141(5). 859–871. 435 indexed citations
19.
Chen, Qian, Xuewen Cheng, Ting‐Jia Lu, et al.. (2009). Zn2+ mediates ischemia‐induced impairment of the ubiquitin‐proteasome system in the rat hippocampus. Journal of Neurochemistry. 111(5). 1094–1103. 10 indexed citations
20.
Tao, Yanmei, Rui Zeng, Bin Shen, Jie‐Min Jia, & Yizheng Wang. (2005). Neuronal transmission stimulates the phosphorylation of Kv1.4 channel at Ser229 through protein kinase A1. Journal of Neurochemistry. 94(6). 1512–1522. 13 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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