Yun Jiao

5.0k total citations
46 papers, 3.1k citations indexed

About

Yun Jiao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Yun Jiao has authored 46 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Cellular and Molecular Neuroscience and 16 papers in Neurology. Recurrent topics in Yun Jiao's work include Parkinson's Disease Mechanisms and Treatments (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Neuroscience and Neuropharmacology Research (6 papers). Yun Jiao is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Neuroscience and Neuropharmacology Research (6 papers). Yun Jiao collaborates with scholars based in United States, China and United Kingdom. Yun Jiao's co-authors include Anton Reiner, Richard J. Smeyne, Nobel Del Mar, Kennie R. Shepherd, Amar K. Pani, Marcia G. Honig, Loreta Medina, Haeman Jang, Wanlong Lei and David A. Boltz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Yun Jiao

45 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun Jiao United States 27 1.2k 1.1k 846 655 436 46 3.1k
Yoshihisa Tachibana Japan 30 1.1k 0.9× 977 0.9× 1.1k 1.3× 746 1.1× 473 1.1× 55 3.3k
Fredric P. Manfredsson United States 36 1.8k 1.4× 1.9k 1.8× 1.5k 1.8× 523 0.8× 318 0.7× 108 4.2k
Wei Lü China 36 2.7k 2.2× 804 0.8× 2.0k 2.4× 533 0.8× 813 1.9× 140 4.6k
Zao C. Xu United States 30 1.7k 1.3× 374 0.4× 1.0k 1.2× 447 0.7× 516 1.2× 82 2.8k
Antonio Paparelli Italy 31 1.2k 1.0× 1.5k 1.4× 868 1.0× 517 0.8× 269 0.6× 114 3.5k
Carina Cintia Ferrari Argentina 21 1.0k 0.8× 542 0.5× 713 0.8× 1.1k 1.8× 230 0.5× 52 2.8k
Simon P. Brooks United Kingdom 30 1.6k 1.2× 784 0.7× 1.8k 2.1× 216 0.3× 248 0.6× 84 3.2k
Mark R. Etherton United States 23 1.6k 1.2× 1.3k 1.2× 1.5k 1.8× 498 0.8× 1.3k 3.0× 61 4.7k
Maria Gulinello United States 40 908 0.7× 228 0.2× 946 1.1× 685 1.0× 280 0.6× 81 3.7k
Fernanda Marques Portugal 37 917 0.7× 291 0.3× 910 1.1× 992 1.5× 496 1.1× 78 3.9k

Countries citing papers authored by Yun Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Yun Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Jiao. A scholar is included among the top collaborators of Yun Jiao 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 Yun Jiao. Yun Jiao 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.
Lin, Zhiming, Dong Yi, Yun Jiao, et al.. (2025). Integrated Analysis of WES and scRNA‐Seq Data Reveals the Genetic Basis of Immune Dysregulation in Unexplained Recurrent Pregnancy Loss. Journal of Clinical Laboratory Analysis. 39(6). e70011–e70011. 1 indexed citations
2.
Li, Chunquan, et al.. (2025). A Unified Arbitrarily Predefined -Time Convergent Recurrent Neural Network for Motion Control of Redundant Robot Manipulators: A Unified Paradigm. IEEE Transactions on Systems Man and Cybernetics Systems. 55(11). 8443–8454.
3.
Jiao, Yun, Kaiwen Yu, Sivaraman Natarajan, et al.. (2025). Spotiphy enables single-cell spatial whole transcriptomics across an entire section. Nature Methods. 22(4). 724–736. 10 indexed citations
4.
Ritzel, Rodney M., Yun Li, Yun Jiao, et al.. (2024). Bi-directional neuro-immune dysfunction after chronic experimental brain injury. Journal of Neuroinflammation. 21(1). 83–83. 3 indexed citations
5.
Ritzel, Rodney M., Yun Li, Yun Jiao, et al.. (2023). Brain injury accelerates the onset of a reversible age-related microglial phenotype associated with inflammatory neurodegeneration. Science Advances. 9(10). eadd1101–eadd1101. 48 indexed citations
6.
Dey, Kaushik, Jay M. Yarbro, Danting Liu, et al.. (2023). Identifying Sex-Specific Serum Patterns of Alzheimer’s Mice through Deep TMT Profiling and a Concentration-Dependent Concatenation Strategy. Journal of Proteome Research. 22(12). 3843–3853. 1 indexed citations
7.
Wang, Hong, Kaushik Dey, Ping‐Chung Chen, et al.. (2020). Integrated analysis of ultra-deep proteomes in cortex, cerebrospinal fluid and serum reveals a mitochondrial signature in Alzheimer’s disease. Molecular Neurodegeneration. 15(1). 43–43. 115 indexed citations
8.
Wong, Lynn, et al.. (2017). Rapid evolution of regulatory element libraries for tunable transcriptional and translational control of gene expression. Synthetic and Systems Biotechnology. 2(4). 295–301. 10 indexed citations
9.
10.
Jiao, Yun, et al.. (2015). Acute Effects of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) or Paraquat on Core Temperature in C57BL/6J Mice. Journal of Parkinson s Disease. 5(2). 389–401. 13 indexed citations
11.
Pani, Amar K., et al.. (2014). Neurochemical Measurement of Adenosine in Discrete Brain Regions of Five Strains of Inbred Mice. PLoS ONE. 9(3). e92422–e92422. 17 indexed citations
12.
Wang, Lishi, Yan Jiao, Yun Jiao, Yanhong Cao, & Weikuan Gu. (2014). Gastric cancer drug trials—are women second class citizens?. Nature Reviews Clinical Oncology. 11(7). 438–438. 2 indexed citations
13.
Huang, Yue, Jing Jing, Xingquan Zhao, et al.. (2012). High‐Sensitivity C‐Reactive Protein is a Strong Risk Factor for Death after Acute Ischemic Stroke among Chinese. CNS Neuroscience & Therapeutics. 18(3). 261–266. 44 indexed citations
14.
Pattarini, Roberto, Rong Ying, K. R. Shepherd, et al.. (2012). Long-lasting transcriptional refractoriness triggered by a single exposure to 1-methyl-4-phenyl-1,2,3,6-tetrahydropyrimidine. Neuroscience. 214. 84–105. 3 indexed citations
15.
Jiao, Yun, et al.. (2012). Exercise Does Not Protect against MPTP-Induced Neurotoxicity in BDNF Happloinsufficent Mice. PLoS ONE. 7(8). e43250–e43250. 46 indexed citations
16.
17.
Shepherd, Kennie R., Eun-Sook Lee, Larry Schmued, et al.. (2006). The potentiating effects of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) on paraquat-induced neurochemical and behavioral changes in mice. Pharmacology Biochemistry and Behavior. 83(3). 349–359. 30 indexed citations
18.
Jiao, Yun, Loreta Medina, Christiaan Veenman, et al.. (2000). Identification of the Anterior Nucleus of the Ansa Lenticularis in Birds as the Homolog of the Mammalian Subthalamic Nucleus. Journal of Neuroscience. 20(18). 6998–7010. 65 indexed citations
19.
Reiner, Anton, et al.. (2000). Pathway tracing using biotinylated dextran amines. Journal of Neuroscience Methods. 103(1). 23–37. 281 indexed citations
20.
Stefani, Alessandro, Quan Chen, Jorge Flores‐Hernández, et al.. (1998). Physiological and Molecular Properties of AMPA/Kainate Receptors Expressed by Striatal Medium Spiny Neurons. Developmental Neuroscience. 20(2-3). 242–252. 53 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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