Jun Sun

3.3k citations
51 papers · 2.3k · h-index 24

Impact in

  • Rheumatology top 0.5%
    • Osteoarthritis Treatment and Mechanisms
  • Urology top 0.5%
    • Periodontal Regeneration and Treatments

Papers in

    • Osteoarthritis Treatment and Mechanisms 23
    • Knee injuries and reconstruction techniques 12
    • Total Knee Arthroplasty Outcomes 7

Jun Sun

47 papers receiving 2.3k citations

Peers

Jun Sun
Comparison fields: 5 of 105
  • Rheumatology 1.2k
  • Urology 483
  • Orthopedics and Sports Medicine 345
  • Biomaterials 484
  • Molecular Medicine 149
Replace Anik Chevrier with:
Anik Chevrier Canada
Theresa E. Hefferan United States
Jianyi Xiong China
Frédéric Mallein‐Gérin France
Clemente Ibarra Mexico
Xiaoning Duan China
Dana L. Nettles United States
Peter G. Alexander United States
Elizabeth R. Balmayor Germany
Yunyu Hu China
Jun Sun relative to Anik Chevrier Canada Anik Chevrier's profile →
Citations per field
00.5×2.9×
Anik Chevrier · 1×
Citations per year

Countries citing papers authored by Jun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005273
2 2005237
3 2009185
4 2006171
5 2006153
6 2002140
7 2011111
8 201188
9 200787
10 202084
11 201070
12 200767
13 201760
14 200560
15 201349
16 201848
17 201037
18 201136
19 202332
20 200830

About Jun Sun

Jun Sun is a scholar working on Rheumatology, Surgery, Molecular Biology, Orthopedics and Sports Medicine and Biomedical Engineering, having authored 51 papers that have together received 2.3k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (23 papers), Knee injuries and reconstruction techniques (12 papers), Total Knee Arthroplasty Outcomes (7 papers), Lower Extremity Biomechanics and Pathologies (6 papers), Bone Metabolism and Diseases (6 papers), Bone and Joint Diseases (5 papers), Tendon Structure and Treatment (3 papers) and Periodontal Regeneration and Treatments (3 papers). The work is most often cited by research in Rheumatology (1.2k citations), Urology (483 citations), Orthopedics and Sports Medicine (345 citations), Biomaterials (484 citations) and Molecular Medicine (149 citations). Jun Sun has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Caroline D. Hoemann, Michael D. Buschmann, Anik Chevrier, Marc D. McKee, Mark Hurtig, Matthew S. Shive, Evgeny Rossomacha, Hongmei Chen, Wei Ouyang and V. Lascau-Coman. Their work appears in journals such as Osteoarthritis and Cartilage, Nature Communications, Journal of Orthopaedic Research®, Bone Research and Journal of Bone and Joint Surgery.

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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