Daniel S. Yang

961 citations
66 papers · 673 · h-index 15

Impact in

Papers in

    • Knee injuries and reconstruction techniques 9
    • Shoulder Injury and Treatment 8
    • Total Knee Arthroplasty Outcomes 5
    • Orthopaedic implants and arthroplasty 4
    • Cervical and Thoracic Myelopathy 3
    • Sports injuries and prevention 5

Daniel S. Yang

58 papers receiving 656 citations

Peers

Daniel S. Yang
Comparison fields: 5 of 84
  • Family Practice 40
  • Health Informatics 32
  • Gastroenterology 59
  • Orthopedics and Sports Medicine 73
  • Surgery 248
Replace Abdelwahab J. Aleshawi with:
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Arthur A. DeSmet United States
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Rikke Sarah Ogawa United States
Athanasios K. Sakadamis Greece
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Daniel S. Yang relative to Abdelwahab J. Aleshawi Jordan Abdelwahab J. Aleshawi's profile →
Citations per field
00.5×5×10×16.5×
Abdelwahab J. Aleshawi · 1×
Citations per year

Countries citing papers authored by Daniel S. Yang

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Yang. 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 Daniel S. Yang. The network helps show where Daniel S. Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201873
2 202161
3 201846
4 201934
5 201927
6 201927
7 201927
8 201825
9 202025
10 202023
11 202223
12 202122
13 201919
14 202216
15 202215
16 202114
17 202112
18 202112
19 202112
20 202112

About Daniel S. Yang

Daniel S. Yang is a scholar working on Surgery, Orthopedics and Sports Medicine, Visual Arts and Performing Arts, Health Informatics and Family Practice, having authored 66 papers that have together received 673 indexed citations. Recurring topics across this work include Knee injuries and reconstruction techniques (9 papers), Shoulder Injury and Treatment (8 papers), Sports injuries and prevention (5 papers), Total Knee Arthroplasty Outcomes (5 papers), Theatre and Performance Studies (5 papers), Orthopaedic implants and arthroplasty (4 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Cervical and Thoracic Myelopathy (3 papers). The work is most often cited by research in Family Practice (40 citations), Health Informatics (32 citations), Gastroenterology (59 citations), Orthopedics and Sports Medicine (73 citations) and Surgery (248 citations). Daniel S. Yang has collaborated with scholars based in United States, Norway and Australia. Frequent co-authors include Alan H Daniels, Steven F. DeFroda, Karen S. Cosby, Harvey V. Fineberg, Brett D. Owens, Neill Y. Li, Eric M. Cohen, John Milner, Frances A. Tepolt and Alison E. Field. Their work appears in journals such as Orthopaedic Journal of Sports Medicine, The Physician and Sportsmedicine, Arthroscopy Sports Medicine and Rehabilitation, The Journal of Arthroplasty and The Journal of Knee 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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