Jun Miao

1.3k citations
76 papers · 716 · h-index 16

Impact in

Papers in

    • Spine and Intervertebral Disc Pathology 22
    • Management of metastatic bone disease 6
    • Cervical and Thoracic Myelopathy 5
    • Scoliosis diagnosis and treatment 4
    • Spinal Fractures and Fixation Techniques 4

Jun Miao

72 papers receiving 706 citations

Peers

Jun Miao
Comparison fields: 5 of 92
  • Pathology and Forensic Medicine 189
  • Cancer Research 115
  • Virology 22
  • Surgery 186
  • Molecular Biology 201
Replace Jun Long with:
Jun Long China
Ting Tian China
Shuhong Liu China
Walter Cromer United States
Giuseppe A. G. Lombardo Italy
Zhen Ge China
Lifeng Lao China
Sen Liu China
Jeroen Declercq Belgium
Jun Miao relative to Jun Long China Jun Long's profile →
Citations per field
00.5×7.3×
Jun Long · 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 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201657
2 201753
3 201745
4 201636
5 201034
6 201526
7 201226
8 201025
9 201224
10 201323
11 202123
12 201820
13 201220
14 200619
15 201419
16 202215
17 202115
18 200814
19 201713
20 201312

About Jun Miao

Jun Miao is a scholar working on Pathology and Forensic Medicine, Surgery, Molecular Biology, Pharmacology and Cancer Research, having authored 76 papers that have together received 716 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (22 papers), Management of metastatic bone disease (6 papers), Cervical and Thoracic Myelopathy (5 papers), Scoliosis diagnosis and treatment (4 papers), Spinal Fractures and Fixation Techniques (4 papers), Pain Mechanisms and Treatments (3 papers), Medical Imaging and Analysis (3 papers) and Musculoskeletal pain and rehabilitation (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (189 citations), Cancer Research (115 citations), Virology (22 citations), Surgery (186 citations) and Molecular Biology (201 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, Yancheng Liu, Yafei Sun, Guoan Li, Kirkham B. Wood, Jing Zhao and Wei Lü. Their work appears in journals such as BMC Musculoskeletal Disorders, Journal of Orthopaedic Surgery and Research, Neurochemical Research, Cell Research and The Spine Journal.

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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