C. Thomas Appleton

2.2k total citations
81 papers, 1.5k citations indexed

About

C. Thomas Appleton is a scholar working on Rheumatology, Surgery and Pharmacology. According to data from OpenAlex, C. Thomas Appleton has authored 81 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Rheumatology, 29 papers in Surgery and 12 papers in Pharmacology. Recurrent topics in C. Thomas Appleton's work include Osteoarthritis Treatment and Mechanisms (54 papers), Knee injuries and reconstruction techniques (15 papers) and Total Knee Arthroplasty Outcomes (11 papers). C. Thomas Appleton is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (54 papers), Knee injuries and reconstruction techniques (15 papers) and Total Knee Arthroplasty Outcomes (11 papers). C. Thomas Appleton collaborates with scholars based in Canada, United States and Netherlands. C. Thomas Appleton's co-authors include Frank Beier, Vasek Pitelka, J.L. Henry, S.E. Usmani, John S. Mort, Claudine G. James, Suzanne M. Bernier, David D. McErlain, David W. Holdsworth and T. Michael Underhill and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Neurology.

In The Last Decade

C. Thomas Appleton

64 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Thomas Appleton Canada 21 997 428 308 304 213 81 1.5k
A. van Caam Netherlands 18 687 0.7× 595 1.4× 197 0.6× 206 0.7× 237 1.1× 45 1.4k
Martijn H. J. van den Bosch Netherlands 17 655 0.7× 442 1.0× 132 0.4× 249 0.8× 142 0.7× 40 1.1k
Aare Märtson Estonia 21 424 0.4× 382 0.9× 329 1.1× 85 0.3× 208 1.0× 74 1.2k
Moroe Beppu Japan 22 339 0.3× 394 0.9× 704 2.3× 259 0.9× 138 0.6× 64 1.6k
Wei Tong China 18 344 0.3× 340 0.8× 191 0.6× 109 0.4× 89 0.4× 32 963
Igor Borić Croatia 11 726 0.7× 204 0.5× 407 1.3× 215 0.7× 70 0.3× 44 1.2k
Chien‐Chung Huang Taiwan 23 328 0.3× 482 1.1× 93 0.3× 96 0.3× 184 0.9× 46 1.2k
John P. Case United States 21 1.4k 1.4× 372 0.9× 1.2k 3.8× 412 1.4× 209 1.0× 23 2.8k
Ofelia E. Muniz United States 20 608 0.6× 314 0.7× 195 0.6× 79 0.3× 203 1.0× 38 1.2k
Y. T. Konttinen Finland 22 289 0.3× 266 0.6× 385 1.3× 123 0.4× 90 0.4× 51 1.4k

Countries citing papers authored by C. Thomas Appleton

Since Specialization
Citations

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

Fields of papers citing papers by C. Thomas Appleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Thomas Appleton

This figure shows the co-authorship network connecting the top 25 collaborators of C. Thomas Appleton. A scholar is included among the top collaborators of C. Thomas Appleton 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 C. Thomas Appleton. C. Thomas Appleton 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.
King, Lauren, Armaghan Mahmoudian, Jean W. Liew, et al.. (2025). Elucidating the initial symptoms and experiences of knee osteoarthritis: An international patient survey. Osteoarthritis and Cartilage. 33(9). 1147–1152.
2.
Rockel, Jason S., Terence D. Capellini, C. Thomas Appleton, et al.. (2025). From mechanism to medicine: The progress and potential of epigenetics in osteoarthritis. Osteoarthritis and Cartilage Open. 7(3). 100621–100621. 1 indexed citations
3.
Wang, Lefeng, Cynthia Pape, Lynda A. McCaig, et al.. (2025). Effect of aging on pulmonary cellular responses during mechanical ventilation. JCI Insight. 10(6).
4.
5.
Lytvyn, Yuliya, Stephanie Garner, C. Thomas Appleton, et al.. (2025). Immune checkpoint inhibitor associated vasculitis and polymyalgia rheumatica: a case series and systematic review. BMC Rheumatology. 9(1). 111–111.
6.
Philpott, Holly T., et al.. (2024). PAIN AND PATHOLOGICAL SYNOVIAL FIBROBLAST PHENOTYPES IN OSTEOARTHRITIS. Osteoarthritis and Cartilage. 32. S435–S435.
7.
8.
Fernández‐Codina, Andreu, Tatiana Nevskaya, Murray Baron, et al.. (2024). Brentuximab vedotin for skin involvement in refractory diffuse cutaneous systemic sclerosis, an open-label trial. Lara D. Veeken. 64(3). 1476–1481. 4 indexed citations
9.
Ramos, Y.F., Sarah J. Rice, Shabana Amanda Ali, et al.. (2024). Evolution and advancements in genomics and epigenomics in OA research: How far we have come. Osteoarthritis and Cartilage. 32(7). 858–868. 13 indexed citations
10.
Dupuis, Holly, et al.. (2024). INVESTIGATING THE USE OF INTRA-ARTICULAR INJECTIONS OF GSK3787 FOR OSTEOARTHRITIS. Osteoarthritis and Cartilage. 32. S47–S48. 1 indexed citations
11.
King, Lauren, Armaghan Mahmoudian, Jean W. Liew, et al.. (2024). AN INTERNATIONAL PATIENT SURVEY TO IDENTIFY CANDIDATE ITEMS FOR CLASSIFYING EARLY-STAGE SYMPTOMATIC KNEE OSTEOARTHRITIS. Osteoarthritis and Cartilage. 32. S257–S258.
12.
Farooq, Muhammad, Kelsey H. Collins, Annemarie Lang, et al.. (2023). Three decades of advancements in osteoarthritis research: insights from transcriptomic, proteomic, and metabolomic studies. Osteoarthritis and Cartilage. 32(4). 385–397. 27 indexed citations
13.
Neogi, Tuhina, Deepak Kumar, Mohamed Jarraya, et al.. (2023). Exploring different models of pain phenotypes and their association with pain worsening in people with early knee osteoarthritis: The MOST cohort study. Osteoarthritis and Cartilage. 32(2). 210–219. 6 indexed citations
14.
Philpott, Holly T., Kyle K. Pitchers, N. Smith, et al.. (2023). Effects of risk factors on evoked pain patterns in rat models of experimental knee osteoarthritis. Journal of Orthopaedic Research®. 41(12). 2617–2628. 2 indexed citations
15.
Philpott, Holly T., Trevor B. Birmingham, Benoit Fiset, et al.. (2022). Tensile strain and altered synovial tissue metabolism in human knee osteoarthritis. Scientific Reports. 12(1). 17367–17367. 5 indexed citations
16.
Lanting, Brent A., et al.. (2022). Attenuation correction for PET/MRI to measure tracer activity surrounding total knee arthroplasty. SHILAP Revista de lepidopterología. 6(1). 31–31. 1 indexed citations
17.
Lalone, Emily, et al.. (2021). Validation of a three dimensional musculoskeletal ultrasound system for use in hands and wrists. Osteoarthritis and Cartilage. 29. S353–S353.
18.
Ali, Shabana Amanda, Rajiv Gandhi, Pratibha Potla, et al.. (2020). Sequencing identifies a distinct signature of circulating microRNAs in early radiographic knee osteoarthritis. Osteoarthritis and Cartilage. 28(11). 1471–1481. 54 indexed citations
19.
Atkinson, Hayden F., et al.. (2020). Association between changes in knee load and effusion-synovitis: evidence of mechano-inflammation in knee osteoarthritis using high tibial osteotomy as a model. Osteoarthritis and Cartilage. 29(2). 222–229. 22 indexed citations
20.
Appleton, C. Thomas, et al.. (2009). Vascular Smooth Muscle Cells as a Valvular Interstitial Cell Surrogate in Heart Valve Tissue Engineering. Tissue Engineering Part A. 15(12). 3889–3897. 11 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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