David C. Sing

3.8k citations
98 papers · 2.7k · h-index 29

Impact in

  • Surgery top 2%
    • Total Knee Arthroplasty Outcomes
    • Orthopaedic implants and arthroplasty
    • Shoulder Injury and Treatment
    • Hip disorders and treatments
    • Anesthesia and Pain Management

Papers in

David C. Sing

95 papers receiving 2.7k citations

Peers

David C. Sing
Comparison fields: 5 of 131
  • Surgery 1.2k
  • Health Informatics 39
  • Internal Medicine 48
  • Anesthesiology and Pain Medicine 66
  • Public Health, Environmental and Occupational Health 313
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David C. Sing relative to Linnea R. Goodman United States Linnea R. Goodman's profile →
Citations per field
00.5×7.8×
Linnea R. Goodman · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016189
2 2015172
3 2013162
4 2016124
5 2017113
6 2016105
7 202090
8 201689
9 201587
10 201882
11 201380
12 201773
13 201771
14 201665
15 201759
16 201757
17 201655
18 201453
19 201546
20 201843

About David C. Sing

David C. Sing is a scholar working on Surgery, Electrical and Electronic Engineering, Nuclear and High Energy Physics, Pathology and Forensic Medicine and Epidemiology, having authored 98 papers that have together received 2.7k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (10 papers), Shoulder Injury and Treatment (10 papers), Spine and Intervertebral Disc Pathology (9 papers), Total Knee Arthroplasty Outcomes (8 papers), Silicon and Solar Cell Technologies (8 papers), Integrated Circuits and Semiconductor Failure Analysis (7 papers), Ionosphere and magnetosphere dynamics (5 papers) and Shoulder and Clavicle Injuries (5 papers). The work is most often cited by research in Surgery (1.2k citations), Health Informatics (39 citations), Internal Medicine (48 citations), Anesthesiology and Pain Medicine (66 citations) and Public Health, Environmental and Occupational Health (313 citations). David C. Sing has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Thomas P. Vail, Alan L. Zhang, Kevin J. Bozic, Brian T. Feeley, Bobby Tay, Erik N. Hansen, Jeffrey J. Barry, William W. Schairer, Jonathan W. Cheah and Xinning Li. Their work appears in journals such as The Journal of Arthroplasty, Spine, Orthopedics, Journal of Shoulder and Elbow Surgery and Orthopaedic Journal of Sports Medicine.

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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