Jun Qi

743 citations
32 papers · 600 · h-index 13

Impact in

    • Tendon Structure and Treatment
  • Surgery top 10%
    • Shoulder Injury and Treatment
    • Reconstructive Surgery and Microvascular Techniques
    • Breast Implant and Reconstruction
    • Tissue Engineering and Regenerative Medicine

Papers in

Jun Qi

32 papers receiving 592 citations

Peers

Jun Qi
Comparison fields: 5 of 74
  • Orthopedics and Sports Medicine 102
  • Surgery 234
  • Rheumatology 75
  • Genetics 44
  • Urology 22
Replace Hisatada Hiraoka with:
Hisatada Hiraoka Japan
Yequan Wang China
Helen S. McCarthy United Kingdom
Hossen Mohammad Jamil Bangladesh
Daniel J. Gorski United States
Youxing Shi China
Junichi Shida Japan
Maria Elena Candela United States
Kazutoshi Kurokouchi Japan
Yamini Achari Canada
Jun Qi relative to Hisatada Hiraoka Japan Hisatada Hiraoka's profile →
Citations per field
00.5×10.8×
Hisatada Hiraoka · 1×
Citations per year

Countries citing papers authored by Jun Qi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201895
2 202156
3 202054
4 201546
5 201533
6 201933
7 201832
8 201130
9 201328
10 201527
11 201727
12 201520
13 201815
14 200812
15 202112
16 201511
17 201111
18 20189
19 20178
20 20228

About Jun Qi

Jun Qi is a scholar working on Surgery, Molecular Biology, Rheumatology, Genetics and Oncology, having authored 32 papers that have together received 600 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (6 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Bone health and treatments (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Shoulder Injury and Treatment (3 papers), Tendon Structure and Treatment (3 papers), Shoulder and Clavicle Injuries (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (102 citations), Surgery (234 citations), Rheumatology (75 citations), Genetics (44 citations) and Urology (22 citations). Jun Qi has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Chunfeng Zhao, Qian Liu, Peter C. Amadio, Steven L. Moran, Anne Gingery, Hongbo You, Ramona L. Reisdorf, Jiaming Zhang, Tao Xu and Xiaoxia Hao. Their work appears in journals such as Journal of Orthopaedic Research®, Aesthetic Plastic Surgery, Biopreservation and Biobanking, Frontiers in Genetics and International Orthopaedics.

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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