Xiaohong Mu

437 citations
37 papers · 283 · h-index 11

Impact in

Papers in

    • Extracellular vesicles in disease 2
    • Peroxisome Proliferator-Activated Receptors 2
    • Bone Metabolism and Diseases 2

Xiaohong Mu

28 papers receiving 279 citations

Peers

Xiaohong Mu
Comparison fields: 5 of 67
  • Cancer Research 30
  • Pathology and Forensic Medicine 33
  • Complementary and alternative medicine 15
  • Orthopedics and Sports Medicine 15
  • Biological Psychiatry 4
Replace Simone Ortiz Moura Fideles with:
Simone Ortiz Moura Fideles Brazil
Zhixian Zong China
Kaiting Ning China
Leila S. Coimbra Brazil
Weijian Chen China
Jianshun Wang China
Koji Ishida Japan
Yicheng Tian China
Xiaojing Ma China
O. Stannus Australia
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Citations per field
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Citations per year

Countries citing papers authored by Xiaohong Mu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaohong 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 Xiaohong Mu Line = papers co-authored together Xiaohong Mu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201949
2 202230
3 201726
4 202123
5 201717
6 202015
7 202315
8 201713
9 201713
10 202412
11 201910
12 20249
13 20248
14 20236
15 20185
16 20205
17 20234
18 20223
19 20233
20 20233

About Xiaohong Mu

Xiaohong Mu is a scholar working on Molecular Biology, Surgery, Pathology and Forensic Medicine, Neurology and Psychiatry and Mental health, having authored 37 papers that have together received 283 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (3 papers), Botulinum Toxin and Related Neurological Disorders (3 papers), Cerebral Palsy and Movement Disorders (3 papers), Neonatal and fetal brain pathology (2 papers), Extracellular vesicles in disease (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Bone and Joint Diseases (2 papers) and Bone Metabolism and Diseases (2 papers). The work is most often cited by research in Cancer Research (30 citations), Pathology and Forensic Medicine (33 citations), Complementary and alternative medicine (15 citations), Orthopedics and Sports Medicine (15 citations) and Biological Psychiatry (4 citations). Xiaohong Mu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bowen Deng, Lin Xu, Qidong Zhang, Wanshou Guo, Lingling Qin, Lili Wu, Feng Gao, Guangbin Luo, Limin Chai and Lin Xu. Their work appears in journals such as Journal of Orthopaedic Surgery and Research, Frontiers in Neuroscience, npj Biofilms and Microbiomes, BMJ Open and International Journal of Molecular Medicine.

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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