JaeWon Yang
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Surgery top 10%
- Orthopedic Infections and Treatments
- Total Knee Arthroplasty Outcomes
- Orthopaedic implants and arthroplasty
- Knee injuries and reconstruction techniques
Papers in
- Co-authors
- Craig J. Della Valle (20 shared papers)Samir Soneji (4 shared papers)James D. Sargent (2 shared papers)Kristin E. Knutzen (1 shared paper)Meghan Bridgid Moran (1 shared paper)Chris Culvern (2 shared papers)Denis Nam (5 shared papers)Andy S.L. Tan (1 shared paper)
- Journals
- The Journal of Arthroplasty (11 papers)The Bone & Joint Journal (5 papers)The Spine Journal (3 papers)Arthroplasty Today (3 papers)Journal of Bone and Joint Surgery (2 papers)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
JaeWon Yang
48 papers receiving 642 citations
Peers
Comparison fields: 5 of 92
- Health Informatics 40
- Surgery 260
- Physiology 78
- Orthopedics and Sports Medicine 22
- Emergency Medicine 19
Countries citing papers authored by JaeWon Yang
This map shows the geographic impact of JaeWon Yang'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 JaeWon Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JaeWon Yang more than expected).
Fields of papers citing papers by JaeWon Yang
This network shows the impact of papers produced by JaeWon Yang. 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 JaeWon Yang. The network helps show where JaeWon Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside JaeWon Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 80 | |
| 2 | 2020 | 72 | |
| 3 | 2024 | 34 | |
| 4 | 2020 | 26 | |
| 5 | 2020 | 25 | |
| 6 | 2021 | 22 | |
| 7 | 2016 | 22 | |
| 8 | 2016 | 21 | |
| 9 | 2015 | 21 | |
| 10 | 2021 | 20 | |
| 11 | 2018 | 19 | |
| 12 | 2021 | 19 | |
| 13 | 2016 | 19 | |
| 14 | 2024 | 18 | |
| 15 | 2017 | 18 | |
| 16 | 2021 | 16 | |
| 17 | 2016 | 16 | |
| 18 | 2021 | 15 | |
| 19 | 2017 | 13 | |
| 20 | 2017 | 12 |
About JaeWon Yang
JaeWon Yang is a scholar working on Surgery, Oncology, Health Informatics, Public Health, Environmental and Occupational Health and Orthopedics and Sports Medicine, having authored 52 papers that have together received 654 indexed citations. Recurring topics across this work include Total Knee Arthroplasty Outcomes (10 papers), Orthopaedic implants and arthroplasty (6 papers), Orthopedic Infections and Treatments (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Smoking Behavior and Cessation (2 papers), Tendon Structure and Treatment (2 papers), Petri Nets in System Modeling (1 paper) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in Health Informatics (40 citations), Surgery (260 citations), Physiology (78 citations), Orthopedics and Sports Medicine (22 citations) and Emergency Medicine (19 citations). JaeWon Yang has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Craig J. Della Valle, Samir Soneji, James D. Sargent, Kristin E. Knutzen, Meghan Bridgid Moran, Chris Culvern, Denis Nam, Andy S.L. Tan, Kelvin Choi and Nathanael D. Heckmann. Their work appears in journals such as The Journal of Arthroplasty, The Bone & Joint Journal, The Spine Journal, Arthroplasty Today and Journal of Bone and Joint Surgery.
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.