Jun Miao

1.2k citations
75 papers · 678 · h-index 16

Impact in

Papers in

    • Spine and Intervertebral Disc Pathology 42
    • Spinal Fractures and Fixation Techniques 22
    • Scoliosis diagnosis and treatment 11
    • Cervical and Thoracic Myelopathy 9
    • Management of metastatic bone disease 6
    • Orthopaedic implants and arthroplasty 5

Jun Miao

69 papers receiving 669 citations

Peers

Jun Miao
Comparison fields: 5 of 94
  • Pathology and Forensic Medicine 246
  • Cancer Research 133
  • Pharmacology 95
  • Surgery 242
  • Virology 20
Replace Xin Qing with:
Xin Qing United States
Sonja Häckel Switzerland
Nicole LeCapitaine United States
Bi Zhang China
Walter Cromer United States
Sen Liu China
Guanjun Tu China
Lifeng Lao China
Cong Li China
Zongze Li China
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Citations per field
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Xin Qing · 1×
Citations per year

Countries citing papers authored by Jun Miao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201656
2 201753
3 201742
4 201636
5 201034
6 201526
7 201225
8 201024
9 201223
10 201322
11 202122
12 201820
13 200619
14 201419
15 201218
16 202115
17 202213
18 201713
19 201312
20 200812

About Jun Miao

Jun Miao is a scholar working on Pathology and Forensic Medicine, Surgery, Pharmacology, Biomedical Engineering and Molecular Biology, having authored 75 papers that have together received 678 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (42 papers), Spinal Fractures and Fixation Techniques (22 papers), Musculoskeletal pain and rehabilitation (17 papers), Medical Imaging and Analysis (16 papers), Scoliosis diagnosis and treatment (11 papers), Cervical and Thoracic Myelopathy (9 papers), Management of metastatic bone disease (6 papers) and Orthopaedic implants and arthroplasty (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (246 citations), Cancer Research (133 citations), Pharmacology (95 citations), Surgery (242 citations) and Virology (20 citations). Jun Miao has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Le Su, Xiaolin Zhang, Qun Xia, Huiqing Hou, Yafei Sun, Yancheng Liu, Guoan Li, Wei Lü, Jing Zhao and Kirkham B. Wood. Their work appears in journals such as BMC Musculoskeletal Disorders, Journal of Orthopaedic Surgery and Research, Neurochemical Research, Scientific Reports and Journal of Hypertension.

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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