David R. Wilson

7.5k total citations · 1 hit paper
164 papers, 5.2k citations indexed

About

David R. Wilson is a scholar working on Surgery, Biomedical Engineering and Orthopedics and Sports Medicine. According to data from OpenAlex, David R. Wilson has authored 164 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Surgery, 70 papers in Biomedical Engineering and 46 papers in Orthopedics and Sports Medicine. Recurrent topics in David R. Wilson's work include Lower Extremity Biomechanics and Pathologies (55 papers), Total Knee Arthroplasty Outcomes (46 papers) and Osteoarthritis Treatment and Mechanisms (41 papers). David R. Wilson is often cited by papers focused on Lower Extremity Biomechanics and Pathologies (55 papers), Total Knee Arthroplasty Outcomes (46 papers) and Osteoarthritis Treatment and Mechanisms (41 papers). David R. Wilson collaborates with scholars based in Canada, United States and United Kingdom. David R. Wilson's co-authors include David A. Walsh, Daniel F. McWilliams, James D. Johnston, Bassam A. Masri, Thomas R. Oxland, J. Feikes, Derek Wilson, Christina A. Niosi, Norma J. MacIntyre and John O’Connor and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Bone and Joint Surgery.

In The Last Decade

David R. Wilson

157 papers receiving 5.1k citations

Hit Papers

Permanent His-bundle pacing as an alternative to biventri... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers

David R. Wilson
Leon Lenchik United States
Benjamin K. Potter United States
Peer Eysel Germany
Nicholas J. Giori United States
Andrew J. Grainger United Kingdom
Justin Cobb United Kingdom
Leon Lenchik United States
David R. Wilson
Citations per year, relative to David R. Wilson David R. Wilson (= 1×) peers Leon Lenchik

Countries citing papers authored by David R. Wilson

Since Specialization
Citations

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

Fields of papers citing papers by David R. Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David R. Wilson

This figure shows the co-authorship network connecting the top 25 collaborators of David R. Wilson. A scholar is included among the top collaborators of David R. Wilson 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 R. Wilson. David R. Wilson 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.
Rosenbaum, Daniel G., et al.. (2025). Early age-related changes to articular cartilage T1ρ in hips with Legg–Calvé–Perthes disease deformity. Osteoarthritis and Cartilage Open. 7(2). 100589–100589.
2.
Cibere, Jolanda, Hong Qian, Honglin Zhang, et al.. (2023). T1Gd is reduced in bone marrow lesions overlying cartilage in the hip. Osteoarthritis and Cartilage. 31(10). 1405–1414. 2 indexed citations
3.
Vijayaraman, Pugazhendhi, Bengt Herweg, Atul Verma, et al.. (2022). Rescue left bundle branch area pacing in coronary venous lead failure or nonresponse to biventricular pacing: Results from International LBBAP Collaborative Study Group. Heart Rhythm. 19(8). 1272–1280. 54 indexed citations
4.
Scott, Alex, Michael A. Hunt, Liam R. Brunham, et al.. (2021). The effects of cholesterol accumulation on Achilles tendon biomechanics: A cross-sectional study. PLoS ONE. 16(9). e0257269–e0257269. 13 indexed citations
5.
Charest-Morin, Raphaële, Honglin Zhang, Jason R. Shewchuk, et al.. (2021). Dynamic morphometric changes in degenerative lumbar spondylolisthesis: A pilot study of upright magnetic resonance imaging. Journal of Clinical Neuroscience. 91. 152–158. 5 indexed citations
6.
Esculier, Jean-François, et al.. (2020). Biomechanics during cross-body lunging in individuals with and without painful cam and/or pincer morphology. Clinical Biomechanics. 76. 105030–105030. 5 indexed citations
7.
Hiratsuka, Vanessa Y., Michael Hahn, R. Brian Woodbury, et al.. (2020). Alaska Native genomic research: perspectives from Alaska Native leaders, federal staff, and biomedical researchers. Genetics in Medicine. 22(12). 1935–1943. 17 indexed citations
8.
Stewart, Rachel C., et al.. (2018). Contrast‐enhanced computed tomography (CECT) attenuation is associated with stiffness of intact knee cartilage. Journal of Orthopaedic Research®. 36(10). 2641–2647. 8 indexed citations
9.
Kontulainen, Saija, et al.. (2018). Mechanical Metrics of the Proximal Tibia are Precise and Differentiate Osteoarthritic and Normal Knees: A Finite Element Study. Scientific Reports. 8(1). 11478–11478. 14 indexed citations
10.
Sharma, Parikshit S., Gopi Dandamudi, Bengt Herweg, et al.. (2017). Permanent His-bundle pacing as an alternative to biventricular pacing for cardiac resynchronization therapy: A multicenter experience. Heart Rhythm. 15(3). 413–420. 271 indexed citations breakdown →
11.
Kontulainen, Saija, Christine E. McLennan, Carl T. Talmo, et al.. (2017). Proximal tibial trabecular bone mineral density is related to pain in patients with osteoarthritis. Arthritis Research & Therapy. 19(1). 200–200. 16 indexed citations
12.
Mapp, P.I., David R. Wilson, R. Hill, et al.. (2016). Gene expression patterns in the synovium and their association with symptomatic knee osteoarthritis. Osteoarthritis and Cartilage. 24. S28–S29. 2 indexed citations
13.
McCormack, Robert G., et al.. (2015). Cartilage health in high tibial osteotomy using dGEMRIC: Relationships with joint kinematics. The Knee. 22(3). 156–162. 12 indexed citations
14.
Moreton, Bryan J., P.I. Mapp, David R. Wilson, et al.. (2015). Histopathological classification and scoring of osteoarthritis as a multi-tissue disease. Osteoarthritis and Cartilage. 23. A314–A314. 1 indexed citations
15.
Garbuz, Donald S., Brian A. Hargreaves, Clivе P. Duncan, et al.. (2013). The John Charnley Award: Diagnostic Accuracy of MRI Versus Ultrasound for Detecting Pseudotumors in Asymptomatic Metal-on-Metal THA. Clinical Orthopaedics and Related Research. 472(2). 417–423. 61 indexed citations
16.
Ngabo, Fidèle, et al.. (2012). Designing and Implementing an Innovative SMS-based alert system (RapidSMS-MCH) to monitor pregnancy and reduce maternal and child deaths in Rwanda.. PubMed. 13. 31–31. 193 indexed citations
17.
Kontulainen, Saija, Christine E. McLennan, Carl T. Talmo, et al.. (2012). Patella bone density is lower in knee osteoarthritis patients experiencing pain at rest. Osteoarthritis and Cartilage. 20. S200–S201. 3 indexed citations
18.
Anglin, Carolyn, Antony J. Hodgson, Bassam A. Masri, et al.. (2008). Determinants of patellar tracking in total knee arthroplasty. Clinical Biomechanics. 23(7). 900–910. 45 indexed citations
19.
Walsh, David A., et al.. (2008). Evaluation of a Photographic Chondropathy Score (PCS) for pathological samples in a study of inflammation in tibiofemoral osteoarthritis. Osteoarthritis and Cartilage. 17(3). 304–312. 31 indexed citations
20.
Wilson, Derek, Christina A. Niosi, Qingan Zhu, Thomas R. Oxland, & David R. Wilson. (2005). Accuracy and repeatability of a new method for measuring facet loads in the lumbar spine. Journal of Biomechanics. 39(2). 348–353. 115 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026