David C. Sing

3.8k total citations
97 papers, 2.6k citations indexed

About

David C. Sing is a scholar working on Surgery, Pathology and Forensic Medicine and Electrical and Electronic Engineering. According to data from OpenAlex, David C. Sing has authored 97 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Surgery, 16 papers in Pathology and Forensic Medicine and 16 papers in Electrical and Electronic Engineering. Recurrent topics in David C. Sing's work include Spine and Intervertebral Disc Pathology (16 papers), Shoulder Injury and Treatment (14 papers) and Orthopaedic implants and arthroplasty (13 papers). David C. Sing is often cited by papers focused on Spine and Intervertebral Disc Pathology (16 papers), Shoulder Injury and Treatment (14 papers) and Orthopaedic implants and arthroplasty (13 papers). David C. Sing collaborates with scholars based in United States, Canada and Israel. David C. Sing's co-authors include Thomas P. Vail, Alan L. Zhang, Kevin J. Bozic, Brian T. Feeley, Erik N. Hansen, Bobby Tay, Jeffrey J. Barry, William W. Schairer, Jonathan W. Cheah and Xinning Li and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Bone and Joint Surgery.

In The Last Decade

David C. Sing

92 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David C. Sing United States 28 1.7k 452 363 319 308 97 2.6k
James I. Huddleston United States 36 3.4k 2.0× 224 0.5× 129 0.4× 81 0.3× 438 1.4× 176 4.3k
Juhee Song United States 30 816 0.5× 127 0.3× 282 0.8× 170 0.5× 390 1.3× 160 2.8k
Kimon Bekelis United States 29 1.0k 0.6× 188 0.4× 524 1.4× 490 1.5× 353 1.1× 133 3.0k
Marina Carotti Italy 37 1.1k 0.7× 140 0.3× 319 0.9× 517 1.6× 130 0.4× 166 4.5k
R. M. Smith United Kingdom 34 2.8k 1.6× 246 0.5× 2.1k 5.9× 126 0.4× 175 0.6× 86 4.1k
Christopher L. Schlett Germany 33 1.3k 0.8× 164 0.4× 468 1.3× 106 0.3× 1.8k 5.9× 212 4.3k
Timothy Bhattacharyya United States 29 2.4k 1.4× 143 0.3× 874 2.4× 106 0.3× 298 1.0× 69 3.6k
Thomas Fischer Germany 29 400 0.2× 163 0.4× 289 0.8× 170 0.5× 179 0.6× 114 2.5k
Tom Mala Norway 32 2.3k 1.4× 119 0.3× 205 0.6× 318 1.0× 188 0.6× 130 3.5k
Mervyn D. Cohen United States 29 683 0.4× 211 0.5× 225 0.6× 126 0.4× 79 0.3× 152 2.4k

Countries citing papers authored by David C. Sing

Since Specialization
Citations

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

Fields of papers citing papers by David C. Sing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Sing. 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 David C. Sing. The network helps show where David C. Sing may publish in the future.

Co-authorship network of co-authors of David C. Sing

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Sing. A scholar is included among the top collaborators of David C. Sing 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 David C. Sing. David C. Sing 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
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Malone, Hani, et al.. (2024). Can titanium surface technology reduce cost for biologics in anterior lumbar interbody fusion?. Journal of Neurosurgery Spine. 41(5). 589–595. 1 indexed citations
3.
Wei, Jinchi, David Li, David C. Sing, et al.. (2022). Detecting upper extremity native joint dislocations using deep learning: A multicenter study. Clinical Imaging. 92. 38–43. 8 indexed citations
4.
Wei, Jinchi, David Li, David C. Sing, et al.. (2022). Detecting total hip arthroplasty dislocations using deep learning: clinical and Internet validation. Emergency Radiology. 29(5). 801–808. 7 indexed citations
5.
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Cusano, Antonio, et al.. (2021). Authorship Proliferation of Research Articles in Top 10 Orthopaedic Journals: A 70-Year Analysis. JAAOS Global Research and Reviews. 5(9). 8 indexed citations
7.
Sing, David C., et al.. (2020). Sex differences in complications and readmission rates following shoulder arthroplasty in the United States. JSES International. 4(1). 95–99. 13 indexed citations
8.
Galvin, Joseph W., et al.. (2018). Thirty-day Complications and Readmission Rates in Elderly Patients After Shoulder Arthroplasty. JAAOS Global Research and Reviews. 2(11). e068–e068. 30 indexed citations
9.
Khanna, Krishn, et al.. (2018). An Analysis of Implant Retention and Antibiotic Suppression in Instrumented Spine Infections: A Preliminary Data Set of 67 Patients. The International Journal of Spine Surgery. 12(4). 5060–5060. 8 indexed citations
10.
Dudli, Stefan, David C. Sing, Serena S. Hu, et al.. (2017). ISSLS PRIZE IN BASIC SCIENCE 2017: Intervertebral disc/bone marrow cross-talk with Modic changes. European Spine Journal. 26(5). 1362–1373. 108 indexed citations
11.
Sing, David C., Lionel N. Metz, & Stefan Dudli. (2017). Machine Learning-Based Classification of 38 Years of Spine-Related Literature Into 100 Research Topics. Spine. 42(11). 863–870. 28 indexed citations
12.
Cheah, Jonathan W., et al.. (2017). The perioperative effects of chronic preoperative opioid use on shoulder arthroplasty outcomes. Journal of Shoulder and Elbow Surgery. 26(11). 1908–1914. 70 indexed citations
13.
Lu, Min, David C. Sing, Alfred C. Kuo, & Erik N. Hansen. (2017). Preoperative Anemia Independently Predicts 30-Day Complications After Aseptic and Septic Revision Total Joint Arthroplasty. The Journal of Arthroplasty. 32(9). S197–S201. 53 indexed citations
14.
Patterson, Joseph T., Alexander A. Theologis, David C. Sing, & Bobby Tay. (2017). Anterior Versus Posterior Approaches for Odontoid Fracture Stabilization in Patients Older Than 65 Years. Clinical Spine Surgery A Spine Publication. 30(8). E1033–E1038. 20 indexed citations
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Khanna, Krishn, Paul H. Yi, David C. Sing, Erik J. Geiger, & Lionel N. Metz. (2017). Hypoalbuminemia Is Associated With Septic Revisions After Primary Surgery and Postoperative Infection After Revision Surgery. Spine. 43(6). 454–460. 21 indexed citations
17.
Patterson, Joseph T., David C. Sing, Erik N. Hansen, Bobby Tay, & Alan L. Zhang. (2017). The James A. Rand Young Investigator's Award: Administrative Claims vs Surgical Registry: Capturing Outcomes in Total Joint Arthroplasty. The Journal of Arthroplasty. 32(9). S11–S17. 24 indexed citations
18.
Barry, Jeffrey J., David C. Sing, Thomas P. Vail, & Erik N. Hansen. (2016). Early Outcomes of Primary Total Hip Arthroplasty After Prior Lumbar Spinal Fusion. The Journal of Arthroplasty. 32(2). 470–474. 64 indexed citations
19.
Sing, David C., John K. Yue, Lionel N. Metz, et al.. (2015). Obesity Is an Independent Risk Factor of Early Complications After Revision Spine Surgery. Spine. 41(10). E632–E640. 34 indexed citations
20.
Mountziaris, Paschalia M., et al.. (2010). Controlled Release of Anti-inflammatory siRNA from Biodegradable Polymeric Microparticles Intended for Intra-articular Delivery to the Temporomandibular Joint. Pharmaceutical Research. 28(6). 1370–1384. 27 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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