Nikolas K. Knowles

892 total citations
49 papers, 628 citations indexed

About

Nikolas K. Knowles is a scholar working on Surgery, Epidemiology and Orthopedics and Sports Medicine. According to data from OpenAlex, Nikolas K. Knowles has authored 49 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Surgery, 27 papers in Epidemiology and 8 papers in Orthopedics and Sports Medicine. Recurrent topics in Nikolas K. Knowles's work include Shoulder Injury and Treatment (31 papers), Shoulder and Clavicle Injuries (25 papers) and Orthopaedic implants and arthroplasty (8 papers). Nikolas K. Knowles is often cited by papers focused on Shoulder Injury and Treatment (31 papers), Shoulder and Clavicle Injuries (25 papers) and Orthopaedic implants and arthroplasty (8 papers). Nikolas K. Knowles collaborates with scholars based in Canada, France and Germany. Nikolas K. Knowles's co-authors include Louis M. Ferreira, George S. Athwal, Jacob M. Reeves, Jay D. Keener, Gilles Walch, Jean Chaoui, Enrico Dall’Ara, Kilian Wegmann, Kevin Chan and Marc-Olivier Gauci and has published in prestigious journals such as Journal of Biomechanics, Journal of Orthopaedic Research® and Journal of Shoulder and Elbow Surgery.

In The Last Decade

Nikolas K. Knowles

47 papers receiving 614 citations

Peers

Nikolas K. Knowles
Ariane Gerber United States
Matthew H. Griffith United States
Craig A. Cummins United States
Arnd Viehöfer Switzerland
Jin Woong Yi South Korea
Ariane Gerber United States
Nikolas K. Knowles
Citations per year, relative to Nikolas K. Knowles Nikolas K. Knowles (= 1×) peers Ariane Gerber

Countries citing papers authored by Nikolas K. Knowles

Since Specialization
Citations

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

Fields of papers citing papers by Nikolas K. Knowles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nikolas K. Knowles. 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 Nikolas K. Knowles. The network helps show where Nikolas K. Knowles may publish in the future.

Co-authorship network of co-authors of Nikolas K. Knowles

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolas K. Knowles. A scholar is included among the top collaborators of Nikolas K. Knowles 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 Nikolas K. Knowles. Nikolas K. Knowles 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
2.
Knowles, Nikolas K., et al.. (2024). Image-based finite element model stiffness and vBMD by single and dual energy CT reconstruction kernel. Journal of Biomechanics. 177. 112426–112426. 1 indexed citations
3.
Knowles, Nikolas K., et al.. (2022). High performance multi-platform computing for large-scale image-based finite element modeling of bone. Computer Methods and Programs in Biomedicine. 225. 107051–107051. 6 indexed citations
4.
Bakker, Chantal M. J. de, Nikolas K. Knowles, Richard Walker, Sarah L. Manske, & Steven K. Boyd. (2022). Independent changes in bone mineralized and marrow soft tissues following acute knee injury require dual-energy or high-resolution computed tomography for accurate assessment of bone mineral density and stiffness. Journal of the mechanical behavior of biomedical materials. 127. 105091–105091. 7 indexed citations
5.
Knowles, Nikolas K., et al.. (2021). Full‐field experimental analysis of the influence of microstructural parameters on the mechanical properties of humeral head trabecular bone. Journal of Orthopaedic Research®. 40(9). 2048–2056. 3 indexed citations
6.
Knowles, Nikolas K., et al.. (2021). Experimental DVC validation of heterogeneous micro finite element models applied to subchondral trabecular bone of the humeral head. Journal of Orthopaedic Research®. 40(9). 2039–2047. 5 indexed citations
7.
Knowles, Nikolas K., et al.. (2020). The Application of Digital Volume Correlation (DVC) to Evaluate Strain Predictions Generated by Finite Element Models of the Osteoarthritic Humeral Head. Annals of Biomedical Engineering. 48(12). 2859–2869. 11 indexed citations
8.
Knowles, Nikolas K., et al.. (2020). Type E2 glenoid bone loss orientation and management with augmented implants. Journal of Shoulder and Elbow Surgery. 29(7). 1460–1469. 16 indexed citations
9.
Hackl, Michael, Nikolas K. Knowles, Kilian Wegmann, et al.. (2020). Coronoid process reconstruction with a distal clavicle autograft: an in silico analysis of fitting accuracy. Journal of Shoulder and Elbow Surgery. 30(6). 1282–1287. 3 indexed citations
10.
Knowles, Nikolas K., et al.. (2019). Material Mapping of QCT-Derived Scapular Models: A Comparison with Micro-CT Loaded Specimens Using Digital Volume Correlation. Annals of Biomedical Engineering. 47(11). 2188–2198. 11 indexed citations
11.
Knowles, Nikolas K., et al.. (2019). Performance of QCT-Derived scapula finite element models in predicting local displacements using digital volume correlation. Journal of the mechanical behavior of biomedical materials. 97. 339–345. 22 indexed citations
12.
Raniga, Sumit, et al.. (2019). The Walch type B humerus: glenoid retroversion is associated with torsional differences in the humerus. Journal of Shoulder and Elbow Surgery. 28(9). 1801–1808. 15 indexed citations
13.
Chan, Kevin, Nikolas K. Knowles, Jean Chaoui, et al.. (2017). Characterization of the Walch B3 glenoid in primary osteoarthritis. Journal of Shoulder and Elbow Surgery. 26(5). 909–914. 47 indexed citations
14.
Knowles, Nikolas K., Louis M. Ferreira, & George S. Athwal. (2016). The arthritic glenoid: anatomy and arthroplasty designs. Current Reviews in Musculoskeletal Medicine. 9(1). 23–29. 11 indexed citations
15.
Knowles, Nikolas K., Louis M. Ferreira, & George S. Athwal. (2016). Premorbid retroversion is significantly greater in type B2 glenoids. Journal of Shoulder and Elbow Surgery. 25(7). 1064–1068. 30 indexed citations
16.
Knowles, Nikolas K., et al.. (2015). An intra‐bone axial load transducer: development and validation in an in‐vitro radius model. Journal of Experimental Orthopaedics. 2(1). 19–19. 2 indexed citations
17.
Knowles, Nikolas K., Michael J. Carroll, Jay D. Keener, Louis M. Ferreira, & George S. Athwal. (2015). A comparison of normal and osteoarthritic humeral head size and morphology. Journal of Shoulder and Elbow Surgery. 25(3). 502–509. 25 indexed citations
18.
Ferreira, Louis M., et al.. (2015). Effectiveness of CT for the detection of glenoid bone graft resorption following reverse shoulder arthroplasty. Orthopaedics & Traumatology Surgery & Research. 101(4). 427–430. 17 indexed citations
19.
Knowles, Nikolas K., Louis M. Ferreira, & George S. Athwal. (2015). Augmented glenoid component designs for type B2 erosions: a computational comparison by volume of bone removal and quality of remaining bone. Journal of Shoulder and Elbow Surgery. 24(8). 1218–1226. 62 indexed citations
20.
Knowles, Nikolas K., Jay D. Keener, Louis M. Ferreira, & George S. Athwal. (2014). Quantification of the position, orientation, and surface area of bone loss in type B2 glenoids. Journal of Shoulder and Elbow Surgery. 24(4). 503–510. 32 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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