Bin Song

960 citations
45 papers · 693 · h-index 15

Impact in

    • Tendon Structure and Treatment
    • Sports injuries and prevention
    • Foot and Ankle Surgery
  • Surgery top 10%
    • Knee injuries and reconstruction techniques
    • Total Knee Arthroplasty Outcomes
    • Shoulder Injury and Treatment

Papers in

    • Knee injuries and reconstruction techniques 21
    • Total Knee Arthroplasty Outcomes 11
    • Orthopedic Surgery and Rehabilitation 8
    • Shoulder Injury and Treatment 5
    • Tendon Structure and Treatment 13
    • Sports injuries and prevention 9
    • Foot and Ankle Surgery 8

Bin Song

40 papers receiving 689 citations

Peers

Bin Song
Comparison fields: 5 of 76
  • Orthopedics and Sports Medicine 232
  • Surgery 353
  • Biomaterials 99
  • Rheumatology 101
  • Urology 23
Replace Monica Nelea with:
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Sung‐Yen Lin Taiwan
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J. Jeffrey Goater United States
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Bin Song relative to Monica Nelea Canada Monica Nelea's profile →
Citations per field
00.5×3.5×
Monica Nelea · 1×
Citations per year

Countries citing papers authored by Bin Song

Since Specialization
Citations

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

Fields of papers citing papers by Bin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201779
2 201558
3 201957
4 202056
5 202056
6 201745
7 201636
8 201736
9 201627
10 202027
11 201926
12 201918
13 201715
14 201314
15 202214
16 202012
17 202010
18 201610
19 201710
20 20188

About Bin Song

Bin Song is a scholar working on Surgery, Orthopedics and Sports Medicine, Mechanics of Materials, Rheumatology and Molecular Biology, having authored 45 papers that have together received 693 indexed citations. Recurring topics across this work include Knee injuries and reconstruction techniques (21 papers), Tendon Structure and Treatment (13 papers), Total Knee Arthroplasty Outcomes (11 papers), Sports injuries and prevention (9 papers), Orthopedic Surgery and Rehabilitation (8 papers), Foot and Ankle Surgery (8 papers), Shoulder Injury and Treatment (5 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (232 citations), Surgery (353 citations), Biomaterials (99 citations), Rheumatology (101 citations) and Urology (23 citations). Bin Song has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Rui Yang, Weiping Li, Zhengzheng Zhang, Zhong Chen, Jiali Wang, Ling Qin, Jiankun Xu, Patrick Shu‐Hang Yung, Jingyi Hou and Dick Ho Kiu Chow. Their work appears in journals such as Arthroscopy The Journal of Arthroscopic and Related Surgery, The American Journal of Sports Medicine, International Orthopaedics, Orthopaedic Journal of Sports Medicine and Journal of Orthopaedic Translation.

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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