Daniel J. Song

1.1k total citations · 1 hit paper
29 papers, 721 citations indexed

About

Daniel J. Song is a scholar working on Surgery, Epidemiology and Orthopedics and Sports Medicine. According to data from OpenAlex, Daniel J. Song has authored 29 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Surgery, 13 papers in Epidemiology and 8 papers in Orthopedics and Sports Medicine. Recurrent topics in Daniel J. Song's work include Shoulder Injury and Treatment (16 papers), Orthopedic Surgery and Rehabilitation (8 papers) and Shoulder and Clavicle Injuries (8 papers). Daniel J. Song is often cited by papers focused on Shoulder Injury and Treatment (16 papers), Orthopedic Surgery and Rehabilitation (8 papers) and Shoulder and Clavicle Injuries (8 papers). Daniel J. Song collaborates with scholars based in United States, Germany and China. Daniel J. Song's co-authors include John M. Tokish, Craig R. Bottoni, Jay B. Cook, Douglas J. Rowles, Steven H. Shaha, James S. Shaha, Steve Shaha, Joseph Orchowski, Joseph T. Lanzi and Justin J. Ernat and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bone and Joint Surgery and The American Journal of Sports Medicine.

In The Last Decade

Daniel J. Song

21 papers receiving 697 citations

Hit Papers

Redefining “Critical” Bone Loss in Shoulder Instability 2015 2026 2018 2022 2015 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Redefining “Critical” Bone Loss in Shoulder Instability
    2015 405 citations James S. Shaha, Jay B. Cook et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel J. Song United States 9 688 543 177 63 45 29 721
Achilleas Boutsiadis Greece 14 618 0.9× 465 0.9× 103 0.6× 50 0.8× 47 1.0× 35 637
Jay B. Cook United States 14 1.1k 1.6× 1.0k 1.9× 135 0.8× 93 1.5× 39 0.9× 31 1.1k
Lennard Funk United Kingdom 16 633 0.9× 516 1.0× 129 0.7× 21 0.3× 34 0.8× 52 667
Ali Djahangiri Switzerland 10 494 0.7× 331 0.6× 96 0.5× 49 0.8× 28 0.6× 15 503
Bogdan A. Matache Canada 13 470 0.7× 339 0.6× 139 0.8× 36 0.6× 24 0.5× 47 510
Chung Hee Oh South Korea 10 562 0.8× 447 0.8× 65 0.4× 79 1.3× 12 0.3× 11 591
Patrick Jost United States 8 478 0.7× 315 0.6× 194 1.1× 30 0.5× 54 1.2× 10 528
Masaki Akeda Japan 10 525 0.8× 373 0.7× 86 0.5× 70 1.1× 37 0.8× 19 542
Mario Borroni Italy 19 890 1.3× 766 1.4× 74 0.4× 58 0.9× 39 0.9× 36 898
Per Olerud Sweden 6 695 1.0× 584 1.1× 140 0.8× 51 0.8× 39 0.9× 6 719

Countries citing papers authored by Daniel J. Song

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Song

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Song. A scholar is included among the top collaborators of Daniel J. Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel J. Song. Daniel J. Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Song, Daniel J., et al.. (2025). Anterior shoulder instability in the adolescent population: current concepts. Clinics in Shoulder and Elbow. 28(3). 361–370.
2.
Song, Daniel J., et al.. (2024). Tranexamic Acid in Shoulder and Knee Arthroscopy.. PubMed. 33(3). 131–134. 1 indexed citations
3.
Song, Daniel J., et al.. (2024). 2024. Journal of Surgical Orthopaedic Advances. 33(3).
4.
Anderson, Ashley B., Asheesh Bedi, Travis J. Dekker, et al.. (2024). Extremity War Injury Symposium 2024: Sports Medicine and Medical Readiness Section Summary. Orthopaedic Journal of Sports Medicine. 12(11). 971898262–971898262.
5.
Zhao, Xin, et al.. (2024). Potential Effects of Indomethacin on Alleviating Osteoarthritis Progression in Vitro.. PubMed. 24(4). 409–419. 2 indexed citations
6.
Tennent, David J., et al.. (2023). Improving visualization in shoulder arthroscopy. SHILAP Revista de lepidopterología. 26(4). 455–461. 4 indexed citations
7.
8.
Song, Daniel J., et al.. (2022). Prospective Results of the Modified Glide Path Technique for Improved Syndesmotic Reduction During Ankle Fracture Fixation. Foot & Ankle International. 43(7). 923–927. 8 indexed citations
9.
Cotter, Eric J., et al.. (2020). Role of pre-revision tissue biopsy in evaluation of painful shoulder arthroplasty: a systematic review and meta-analysis. Journal of Shoulder and Elbow Surgery. 30(6). 1445–1457. 6 indexed citations
10.
Peng, Xiaowei, et al.. (2019). [The clinical applied analysis of the modified transoral endoscopic thyroidectomy vestibular approach].. PubMed. 57(9). 686–690. 3 indexed citations
11.
Song, Daniel J., Brian F. Grogan, & Charles M. Jobin. (2018). Anatomic total shoulder arthroplasty for severe glenoid bone loss: Still a viable option. Seminars in Arthroplasty JSES. 29(2). 83–86.
12.
Shaha, James S., Steven H. Shaha, Craig R. Bottoni, Daniel J. Song, & John M. Tokish. (2017). Preoperative Resilience Strongest Predictor of Postoperative Outcome Following an Arthroscopic Bankart Repair. Orthopaedic Journal of Sports Medicine. 5(3_suppl3). 11 indexed citations
13.
Ernat, Justin J., et al.. (2015). Mental Health Medication Use Correlates with Poor Outcome After Femoroacetabular Impingement Surgery in a Military Population. Journal of Bone and Joint Surgery. 97(15). 1272–1277. 34 indexed citations
14.
Song, Daniel J., Jay B. Cook, Craig R. Bottoni, et al.. (2014). High frequency of posterior and combined shoulder instability in young active patients. Journal of Shoulder and Elbow Surgery. 24(2). 186–190. 93 indexed citations
15.
Ernat, Justin J., et al.. (2014). Outcomes of Long-arm Casting Versus Double–Sugar-Tong Splinting of Acute Pediatric Distal Forearm Fractures. Journal of Pediatric Orthopaedics. 35(1). 11–17. 12 indexed citations
16.
Song, Daniel J., et al.. (2014). The Effect of Syndesmosis Screw Removal on the Reduction of the Distal Tibiofibular Joint. Foot & Ankle International. 35(6). 543–548. 81 indexed citations
17.
Shaha, James S., Jay B. Cook, Daniel J. Song, et al.. (2014). “Subcritical” Glenoid Bone Loss Increases Redislocation Rates in Primary Arthroscopic Bankart Repair. Orthopaedic Journal of Sports Medicine. 2(7_suppl2). 3 indexed citations
18.
19.
Song, Daniel J., Stephen I. Goodman, Louis A. Gilula, & Ronit Wollstein. (2009). Ulnocarpal Translation in Perilunate Dislocations. Journal of Hand Surgery (European Volume). 34(3). 388–390. 12 indexed citations
20.
Song, Daniel J., et al.. (2007). Anterior Ulnohumeral Compression Plate Arthrodesis for Revision Complex Elbow Injury: A Case Report. The Journal Of Hand Surgery. 32(10). 1583–1586. 7 indexed citations

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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