Jun Qi

727 citations
32 papers · 564 indexed · h-index 13

Impact in

    • Tendon Structure and Treatment
    • Shoulder Injury and Treatment
    • Reconstructive Surgery and Microvascular Techniques
    • Tissue Engineering and Regenerative Medicine
    • Orthopedic Surgery and Rehabilitation

Papers in

    • Tissue Engineering and Regenerative Medicine 5
    • Reconstructive Surgery and Microvascular Techniques 5
    • Shoulder Injury and Treatment 3

Jun Qi

31 papers receiving 558 citations

Peers

Jun Qi
Comparison fields: 5 of 82
  • Orthopedics and Sports Medicine 115
  • Surgery 256
  • Rheumatology 79
  • Cancer Research 68
  • Genetics 48
Replace Yequan Wang with:
Yequan Wang China
Congsun Li China
Daniel Kronenberg Germany
Alekos A. Theologis United States
Momoko Nagai Japan
Meaghan Stolk Germany
Adel Ersek United Kingdom
Helen S. McCarthy United Kingdom
Juliane D. Glaeser United States
Mel S. Lee Taiwan
Jun Qi relative to Yequan Wang China Yequan Wang's profile →
Citations per field
00.5×1.5×1.9×
Yequan Wang · 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 201889
2 202152
3 202049
4 201544
5 201931
6 201531
7 201128
8 201828
9 201527
10 201727
11 201326
12 201520
13 201814
14 200812
15 201111
16 201511
17 202111
18 20189
19 20178
20 20227

About Jun Qi

Jun Qi is a scholar working on Surgery, Molecular Biology, Genetics, Oncology and Rheumatology, having authored 32 papers that have together received 564 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), Tissue Engineering and Regenerative Medicine (5 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Reconstructive Surgery and Microvascular Techniques (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Bone health and treatments (4 papers), Shoulder Injury and Treatment (3 papers) and Shoulder and Clavicle Injuries (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (115 citations), Surgery (256 citations), Rheumatology (79 citations), Cancer Research (68 citations) and Genetics (48 citations). Jun Qi has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Peter C. Amadio, Anne Gingery, Chunfeng Zhao, Qian Liu, Steven L. Moran, Hongbo You, Ramona L. Reisdorf, Caihong Yang, Jiaming Zhang and Xiaoxia Hao. Their work appears in journals such as Journal of Orthopaedic Research®, Aesthetic Plastic Surgery, Biomedical Materials, Oncology Reports and Regenerative 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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