Deva D. Chan

1.2k total citations
42 papers, 777 citations indexed

About

Deva D. Chan is a scholar working on Rheumatology, Biomedical Engineering and Surgery. According to data from OpenAlex, Deva D. Chan has authored 42 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Rheumatology, 20 papers in Biomedical Engineering and 15 papers in Surgery. Recurrent topics in Deva D. Chan's work include Osteoarthritis Treatment and Mechanisms (22 papers), Lower Extremity Biomechanics and Pathologies (11 papers) and Knee injuries and reconstruction techniques (7 papers). Deva D. Chan is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (22 papers), Lower Extremity Biomechanics and Pathologies (11 papers) and Knee injuries and reconstruction techniques (7 papers). Deva D. Chan collaborates with scholars based in United States, China and Belgium. Deva D. Chan's co-authors include Corey P. Neu, Kent D. Butz, Eric A. Nauman, Luyao Cai, Stephen B. Trippel, Anna Plaas, Maury L. Hull, John D. Sandy, Ei YAMAMOTO and Tony M. Keaveny and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Deva D. Chan

39 papers receiving 768 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deva D. Chan United States 19 371 335 318 98 96 42 777
Matthias Aurich Germany 18 503 1.4× 306 0.9× 390 1.2× 24 0.2× 293 3.1× 74 1.1k
Xuchen Ma China 22 457 1.2× 107 0.3× 246 0.8× 85 0.9× 27 0.3× 89 1.8k
Horng-Chaung Hsu Taiwan 16 111 0.3× 253 0.8× 385 1.2× 41 0.4× 113 1.2× 24 691
Ali Naraghi Canada 17 297 0.8× 117 0.3× 559 1.8× 100 1.0× 205 2.1× 51 1.0k
Robert Healey United States 18 520 1.4× 123 0.4× 437 1.4× 20 0.2× 207 2.2× 36 999
Yizhong Hu United States 13 238 0.6× 119 0.4× 190 0.6× 26 0.3× 188 2.0× 33 623
Kristin S. Miller United States 20 155 0.4× 246 0.7× 713 2.2× 92 0.9× 470 4.9× 59 1.4k
Junji Chiba Japan 14 387 1.0× 88 0.3× 656 2.1× 28 0.3× 92 1.0× 41 1.2k
Arihiko Kanaji Japan 17 108 0.3× 114 0.3× 270 0.8× 26 0.3× 86 0.9× 45 841

Countries citing papers authored by Deva D. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Deva D. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deva D. Chan. 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 Deva D. Chan. The network helps show where Deva D. Chan may publish in the future.

Co-authorship network of co-authors of Deva D. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Deva D. Chan. A scholar is included among the top collaborators of Deva D. Chan 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 Deva D. Chan. Deva D. Chan 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.
Douglas, Steven D., et al.. (2025). Computational translation of mouse models of osteoarthritis predicts human disease. Osteoarthritis and Cartilage. 34(3). 484–495.
2.
Chatterjee, Aritra, et al.. (2024). Characterization of Composite Agarose–Collagen Hydrogels for Chondrocyte Culture. Annals of Biomedical Engineering. 53(1). 120–132. 5 indexed citations
3.
Shen, Xin, Xiaopeng Zhou, Ali Çağlar Özen, et al.. (2024). An accelerated PETALUTE MRI sequence for in vivo quantification of sodium content in human articular cartilage at 3T. Skeletal Radiology. 54(3). 601–610.
4.
Vashishth, Deepak, et al.. (2023). Loss of hyaluronan synthases impacts bone morphology, quality, and mechanical properties. Bone. 172. 116779–116779. 4 indexed citations
5.
Wang, Yueyang, Fan Xu, Aritra Chatterjee, et al.. (2023). Atypical peripheral actin band formation via overactivation of RhoA and nonmuscle myosin II in mitofusin 2-deficient cells. eLife. 12. 1 indexed citations
6.
Brubaker, Douglas K., et al.. (2022). Endogenous production of hyaluronan, PRG4, and cytokines is sensitive to cyclic loading in synoviocytes. PLoS ONE. 17(12). e0267921–e0267921. 6 indexed citations
7.
Chan, Deva D., Jun Li, Ryan D. Ross, et al.. (2022). Contrast‐enhanced micro‐computed tomography of compartment and time‐dependent changes in femoral cartilage and subchondral plate in a murine model of osteoarthritis. The Anatomical Record. 306(1). 92–109. 4 indexed citations
8.
Christiansen, Bernd, Deva D. Chan, Marjolein C. H. van der Meulen, & Tristan Maerz. (2022). Small-Animal Compression Models of Osteoarthritis. Methods in molecular biology. 2598. 345–356. 1 indexed citations
9.
Knutsen, Andrew K., Mihika Gangolli, Wen‐Tung Wang, et al.. (2020). In vivo estimates of axonal stretch and 3D brain deformation during mild head impact. SHILAP Revista de lepidopterología. 1. 100015–100015. 48 indexed citations
10.
Shen, Quan, Jun Li, Deva D. Chan, et al.. (2019). Effect of intra-articular hyaluronan injection on inflammation and bone remodeling in the epiphyses and metaphyses of the knee in a murine model of joint injury.. PubMed Central. 11(6). 3280–3300. 4 indexed citations
11.
Gsell, Willy, Luyao Cai, Deva D. Chan, et al.. (2018). Cartilage-on-cartilage contact: effect of compressive loading on tissue deformations and structural integrity of bovine articular cartilage. Osteoarthritis and Cartilage. 26(12). 1699–1709. 20 indexed citations
12.
Chan, Deva D., Jun Li, Wei Luo, et al.. (2017). Pirfenidone reduces subchondral bone loss and fibrosis after murine knee cartilage injury. Journal of Orthopaedic Research®. 36(1). 365–376. 24 indexed citations
13.
Chan, Deva D., Luyao Cai, Kent D. Butz, et al.. (2017). Functional MRI can detect changes in intratissue strains in a full thickness and critical sized ovine cartilage defect model. Journal of Biomechanics. 66. 18–25. 15 indexed citations
14.
Chan, Deva D., Luyao Cai, Kent D. Butz, et al.. (2016). In vivo articular cartilage deformation: noninvasive quantification of intratissue strain during joint contact in the human knee. CU Scholar (University of Colorado Boulder). 20 indexed citations
15.
16.
Sandy, John D., et al.. (2015). Human genome-wide expression analysis reorients the study of inflammatory mediators and biomechanics in osteoarthritis. Osteoarthritis and Cartilage. 23(11). 1939–1945. 41 indexed citations
17.
Chan, Deva D., et al.. (2014). Comparison of intervertebral disc displacements measured under applied loading with MRI at 3.0T and 9.4T. Journal of Biomechanics. 47(11). 2801–2806. 9 indexed citations
18.
Chan, Deva D. & Corey P. Neu. (2012). Transient and Microscale Deformations and Strains Measured under Exogenous Loading by Noninvasive Magnetic Resonance. PLoS ONE. 7(3). e33463–e33463. 30 indexed citations
19.
Chan, Deva D., Corey P. Neu, & Maury L. Hull. (2009). In situ deformation of cartilage in cyclically loaded tibiofemoral joints by displacement-encoded MRI. Osteoarthritis and Cartilage. 17(11). 1461–1468. 28 indexed citations
20.
YAMAMOTO, Ei, R. Paul Crawford, Deva D. Chan, & Tony M. Keaveny. (2005). Development of residual strains in human vertebral trabecular bone after prolonged static and cyclic loading at low load levels. Journal of Biomechanics. 39(10). 1812–1818. 53 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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