Junya Mu

400 total citations
21 papers, 306 citations indexed

About

Junya Mu is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Junya Mu has authored 21 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 8 papers in Psychiatry and Mental health and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Junya Mu's work include Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Menstrual Health and Disorders (4 papers). Junya Mu is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Menstrual Health and Disorders (4 papers). Junya Mu collaborates with scholars based in China, Taiwan and Serbia. Junya Mu's co-authors include Jixin Liu, Ming Zhang, Jie Tian, Wanghuan Dun, Tao Chen, Chen Wang, Ling Zhao, Shaohui Ma, Ke Wang and Tao Chen and has published in prestigious journals such as Scientific Reports, Pain and Neuroscience.

In The Last Decade

Junya Mu

19 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junya Mu China 12 118 116 82 67 55 21 306
Wanghuan Dun China 14 111 0.9× 197 1.7× 104 1.3× 135 2.0× 48 0.9× 23 433
Youping Hu China 13 53 0.4× 216 1.9× 36 0.4× 65 1.0× 146 2.7× 32 442
Nuria Ruffini Italy 9 97 0.8× 76 0.7× 12 0.1× 42 0.6× 74 1.3× 12 347
Fang Zeng China 14 165 1.4× 202 1.7× 48 0.6× 12 0.2× 314 5.7× 26 587
Giandomenico D’Alessandro Italy 9 124 1.1× 119 1.0× 9 0.1× 52 0.8× 79 1.4× 18 389
Joshua W. Kirton United States 12 138 1.2× 120 1.0× 26 0.3× 18 0.3× 10 0.2× 12 366
Amanda Cook United States 6 116 1.0× 201 1.7× 20 0.2× 12 0.2× 78 1.4× 7 415
Pär Flodin Sweden 11 169 1.4× 183 1.6× 46 0.6× 14 0.2× 13 0.2× 17 434
Louis De Beaumont Canada 8 73 0.6× 96 0.8× 171 2.1× 43 0.6× 5 0.1× 11 770
Taipin Guo China 8 191 1.6× 132 1.1× 22 0.3× 16 0.2× 254 4.6× 44 469

Countries citing papers authored by Junya Mu

Since Specialization
Citations

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

Fields of papers citing papers by Junya Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junya Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Junya Mu. A scholar is included among the top collaborators of Junya Mu 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 Junya Mu. Junya Mu 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
2.
Wen, Xin, Wentao Zeng, Yue Qin, et al.. (2025). Early corticospinal tract sub-pathway lesion load and integrity predict post-stroke motor outcomes. Frontiers in Human Neuroscience. 19. 1598598–1598598.
3.
Mu, Junya, Yi Wang, Jiawei Wang, et al.. (2025). Salt-sensitive hypertension promotes neuronal mitochondrial stress and neurodegenerative alterations via neuro-vascular metabolic reprogramming and local RAS signaling. Journal of Neuroinflammation. 22(1). 220–220. 1 indexed citations
4.
Li, Haining, Junya Mu, Wen Gu, et al.. (2022). Reduced cortical complexity in patients with end-stage kidney disease prior to dialysis initiation. Frontiers in Neuroscience. 16. 971010–971010. 2 indexed citations
5.
Mu, Junya, et al.. (2021). [Quantitative analysis methods of white matter microstructure based on diffusion tensor imaging and its application in chronic pain research].. PubMed. 73(3). 407–422. 1 indexed citations
6.
Mu, Junya, Qiming Wang, Wanghuan Dun, et al.. (2021). The effects of long-term menstrual pain on pain empathy in women with primary dysmenorrhea. Pain. 162(7). 2051–2059. 23 indexed citations
7.
Mu, Junya, Xueying Ma, Peng Li, et al.. (2020). White matter characteristics between amygdala and prefrontal cortex underlie depressive tendency in end stage renal disease patients before the dialysis initiation. Brain Imaging and Behavior. 15(4). 1815–1827. 6 indexed citations
8.
Ma, Shaohui, Ming Zhang, Yang Liu, et al.. (2020). Abnormal rich club organization in end-stage renal disease patients before dialysis initiation and undergoing maintenance hemodialysis. BMC Nephrology. 21(1). 515–515. 3 indexed citations
9.
Mu, Junya, et al.. (2019). Neuroimaging features of whole‐brain functional connectivity predict attack frequency of migraine. Human Brain Mapping. 41(4). 984–993. 22 indexed citations
10.
Mu, Junya, Xiaohui Liu, Shaohui Ma, et al.. (2018). The variation of motor-related brain structure and its relation to abnormal motor behaviors in end-stage renal disease patients with restless legs syndrome. Brain Imaging and Behavior. 14(1). 42–50. 11 indexed citations
11.
Mu, Junya, et al.. (2018). Altered amygdala-related structural covariance and resting-state functional connectivity in end-stage renal disease patients. Metabolic Brain Disease. 33(5). 1471–1481. 13 indexed citations
12.
Liu, Jixin, Junya Mu, Tao Chen, Ming Zhang, & Jie Tian. (2018). White matter tract microstructure of the mPFC‐amygdala predicts interindividual differences in placebo response related to treatment in migraine patients. Human Brain Mapping. 40(1). 284–292. 28 indexed citations
13.
Chen, Tao, Junya Mu, Ling Yang, et al.. (2018). Whole-brain structural magnetic resonance imaging–based classification of primary dysmenorrhea in pain-free phase: a machine learning study. Pain. 160(3). 734–741. 25 indexed citations
14.
Mu, Junya, Tao Chen, Xueying Ma, et al.. (2017). Abnormal interaction between cognitive control network and affective network in patients with end-stage renal disease. Brain Imaging and Behavior. 12(4). 1099–1111. 23 indexed citations
15.
Mu, Junya, et al.. (2017). The effect of feature image on sensitivity of the statistical analysis in the pipeline of a tractography atlas-based analysis. Scientific Reports. 7(1). 12669–12669. 3 indexed citations
16.
Liu, Jixin, et al.. (2017). Brain structural properties predict psychologically mediated hypoalgesia in an 8-week sham acupuncture treatment for migraine. Human Brain Mapping. 38(9). 4386–4397. 28 indexed citations
17.
Liu, Jixin, Hongjuan Liu, Junya Mu, et al.. (2017). Altered white matter microarchitecture in the cingulum bundle in women with primary dysmenorrhea: A tract-based analysis study. Human Brain Mapping. 38(9). 4430–4443. 40 indexed citations
18.
Liu, Jixin, Shaohui Ma, Junya Mu, et al.. (2017). Integration of white matter network is associated with interindividual differences in psychologically mediated placebo response in migraine patients. Human Brain Mapping. 38(10). 5250–5259. 26 indexed citations
19.
Liu, Jixin, Lei Lan, Junya Mu, et al.. (2015). Genetic contribution of catechol‐O‐methyltransferase in hippocampal structural and functional changes of female migraine sufferers. Human Brain Mapping. 36(5). 1782–1795. 24 indexed citations
20.
Nan, Jiaofen, Jingmei Liu, Junya Mu, et al.. (2015). Anatomically related gray and white matter alterations in the brains of functional dyspepsia patients. Neurogastroenterology & Motility. 27(6). 856–864. 10 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026