Junya Mu

414 citations
21 papers · 326 · h-index 12

Impact in

Papers in

Junya Mu

20 papers receiving 318 citations

Peers

Junya Mu
Comparison fields: 5 of 47
  • Psychiatry and Mental health 84
  • Complementary and alternative medicine 39
  • Behavioral Neuroscience 17
  • Cognitive Neuroscience 71
  • Nephrology 23
Replace Wanghuan Dun with:
Wanghuan Dun China
Barry Kim Humphreys Switzerland
Claudia Bach Germany
Sabina Iezzi Italy
Heiko Ullrich Germany
Paolo de Bigontina Italy
Yu-Lin Wu Taiwan
F. Weise Germany
Peter J. Tuchin Australia
Junya Mu relative to Wanghuan Dun China Wanghuan Dun's profile →
Citations per field
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Wanghuan Dun · 1×
Citations per year

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-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.

Border = papers with Junya Mu Line = papers co-authored together Junya Mu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201742
2 201830
3 201729
4 201527
5 201726
6 201825
7 202125
8 201923
9 201723
10 202021
11 201814
12 201512
13 201811
14 20207
15 20173
16 20203
17 20222
18 20251
19
[Quantitative analysis methods of white matter microstructure based on diffusion tensor imaging and its application in chronic pain research].
20211
20 20251

About Junya Mu

Junya Mu is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging, Behavioral Neuroscience and Nephrology, having authored 21 papers that have together received 326 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Menstrual Health and Disorders (4 papers), Psychosomatic Disorders and Their Treatments (3 papers), Migraine and Headache Studies (3 papers), Dialysis and Renal Disease Management (2 papers), Pain Management and Placebo Effect (2 papers) and Traumatic Brain Injury Research (2 papers). The work is most often cited by research in Psychiatry and Mental health (84 citations), Complementary and alternative medicine (39 citations), Behavioral Neuroscience (17 citations), Cognitive Neuroscience (71 citations) and Nephrology (23 citations). Junya Mu has collaborated with scholars based in China, Taiwan and Serbia. Frequent co-authors include Jixin Liu, Ming Zhang, Jie Tian, Wanghuan Dun, Tao Chen, Ling Zhao, Qianqian Liu, Chen Wang, Ke Wang and Fanrong Liang. Their work appears in journals such as Human Brain Mapping, Brain Imaging and Behavior, Pain, Neurogastroenterology & Motility 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.

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