Deva D. Chan

39 papers receiving 768 citations

Peers

Deva D. Chan
Comparison fields: 5 of 88
  • Rheumatology 371
  • Orthopedics and Sports Medicine 96
  • Equine 15
  • Biomedical Engineering 335
  • Surgery 318
Replace Matthias Aurich with:
Matthias Aurich Germany
Martin Fuerst Germany
Robert Healey United States
Scott T. Ball United States
Aled Jones United Kingdom
Petri Tanska Finland
Hajime Mishima Japan
Yizhong Hu United States
Tamás Illés Hungary
Deva D. Chan relative to Matthias Aurich Germany Matthias Aurich's profile →
Citations per field
00.5×1.6×
Matthias Aurich · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016115
2 200553
3 202048
4 201542
5 201541
6 200934
7 201133
8 201230
9 201829
10 200928
11 201128
12 201327
13 201125
14 201225
15 201724
16
In vivo articular cartilage deformation: noninvasive quantification of intratissue strain during joint contact in the human knee
201620
17 201820
18 201819
19 201718
20 201816

About Deva D. Chan

Deva D. Chan is a scholar working on Rheumatology, Biomedical Engineering, Surgery, Cell Biology and Radiology, Nuclear Medicine and Imaging, having authored 42 papers that have together received 777 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (22 papers), Lower Extremity Biomechanics and Pathologies (11 papers), Total Knee Arthroplasty Outcomes (7 papers), Knee injuries and reconstruction techniques (7 papers), Proteoglycans and glycosaminoglycans research (5 papers), Spine and Intervertebral Disc Pathology (4 papers), Advanced MRI Techniques and Applications (4 papers) and Elasticity and Material Modeling (4 papers). The work is most often cited by research in Rheumatology (371 citations), Orthopedics and Sports Medicine (96 citations), Equine (15 citations), Biomedical Engineering (335 citations) and Surgery (318 citations). Deva D. Chan has collaborated with scholars based in United States, China and Belgium. Frequent 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, R. Paul Crawford and Tony M. Keaveny. Their work appears in journals such as Osteoarthritis and Cartilage, Journal of Biomechanics, Journal of Orthopaedic Research®, Magnetic Resonance in Medicine and IEEE Transactions on Biomedical Engineering.

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