Junya Mu
Impact in
- Psychiatry and Mental health top 10%
- Migraine and Headache Studies
- Psychosomatic Disorders and Their Treatments
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- Acupuncture Treatment Research Studies
Papers in
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- Functional Brain Connectivity Studies 9
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- Migraine and Headache Studies 3
- Psychosomatic Disorders and Their Treatments 3
- Dementia and Cognitive Impairment Research 2
- Co-authors
- Jixin Liu (16 shared papers)Ming Zhang (12 shared papers)Jie Tian (7 shared papers)Wanghuan Dun (7 shared papers)Tao Chen (4 shared papers)Ling Zhao (2 shared papers)Chen Wang (2 shared papers)Shaohui Ma (4 shared papers)
In The Last Decade
Junya Mu
19 papers receiving 299 citations
Peers
Comparison fields: 5 of 51
- Psychiatry and Mental health 118
- Complementary and alternative medicine 55
- Cognitive Neuroscience 116
- Behavioral Neuroscience 19
- Radiology, Nuclear Medicine and Imaging 82
Countries citing papers authored by Junya Mu
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
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-authors
The 25 scholars most cited alongside Junya Mu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 40 | |
| 2 | 2017 | 28 | |
| 3 | 2018 | 28 | |
| 4 | 2017 | 26 | |
| 5 | 2018 | 25 | |
| 6 | 2015 | 24 | |
| 7 | 2017 | 23 | |
| 8 | 2021 | 23 | |
| 9 | 2019 | 22 | |
| 10 | 2020 | 17 | |
| 11 | 2018 | 13 | |
| 12 | 2018 | 11 | |
| 13 | 2015 | 10 | |
| 14 | 2020 | 6 | |
| 15 | 2020 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2022 | 2 | |
| 18 | [Quantitative analysis methods of white matter microstructure based on diffusion tensor imaging and its application in chronic pain research]. | 2021 | 1 |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Junya Mu
Junya Mu is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health and Neurology, having authored 21 papers that have together received 306 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Menstrual Health and Disorders (4 papers), Migraine and Headache Studies (3 papers), Psychosomatic Disorders and Their Treatments (3 papers), Advanced MRI Techniques and Applications (2 papers), Dementia and Cognitive Impairment Research (2 papers) and Traumatic Brain Injury Research (2 papers). The work is most often cited by research in Psychiatry and Mental health (118 citations), Complementary and alternative medicine (55 citations), Cognitive Neuroscience (116 citations), Behavioral Neuroscience (19 citations) and Radiology, Nuclear Medicine and Imaging (82 citations). Junya Mu has collaborated with scholars based in China, Taiwan and Spain. Frequent co-authors include Jixin Liu, Ming Zhang, Jie Tian, Wanghuan Dun, Tao Chen, Ling Zhao, Chen Wang, Shaohui Ma, Ke Wang and Tao Chen. Their work appears in journals such as Human Brain Mapping, Brain Imaging and Behavior, Pain, Scientific Reports and Neuroscience.
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.