Daniel J. Berry
- Surgery top 0.01%
- Orthopaedic implants and arthroplasty 351
- Total Knee Arthroplasty Outcomes 314
- Orthopedic Infections and Treatments 249
- Hip disorders and treatments 64
- Hip and Femur Fractures 38
- Pelvic and Acetabular Injuries 22
- Knee injuries and reconstruction techniques 15
- Internal Medicine top 1%
- Orthopedics and Sports Medicine top 0.5%
- Bone and Joint Diseases 10
- Health Informatics top 1%
- Co-authors
- Kevin J. BozicKevin OngSteven M. KurtzEdmund LauMatthew P. AbdelDavid G. LewallenRobert T. TrousdaleWilliam S. Harmsen
- Journals
- The Journal of Arthroplasty (186 papers)Journal of Bone and Joint Surgery (85 papers)Clinical Orthopaedics and Related Research (49 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Daniel J. Berry
397 papers receiving 24.1k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Surgery 23.2k
- Internal Medicine 447
- Orthopedics and Sports Medicine 944
- Applied Microbiology and Biotechnology 182
- Health Informatics 110
Countries citing papers authored by Daniel J. Berry
This map shows the geographic impact of Daniel J. Berry'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 Daniel J. Berry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Berry more than expected).
Fields of papers citing papers by Daniel J. Berry
This network shows the impact of papers produced by Daniel J. Berry. 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 Daniel J. Berry. The network helps show where Daniel J. Berry may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel J. Berry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 6 | |
| 12 | 2020 | 32 | |
| 13 | 2020 | 19 | |
| 14 | 2020 | 45 | |
| 15 | 2019 | 118 | |
| 16 | 2019 | 23 | |
| 17 | 2016 | 90 | |
| 18 | 2016 | 16 | |
| 19 | 2015 | 26 | |
| 20 | 2008 | 271 |
About Daniel J. Berry
Daniel J. Berry is a scholar working on Surgery, Internal Medicine, Orthopedics and Sports Medicine, Applied Microbiology and Biotechnology and Anatomy, having authored 423 papers that have together received 25.0k indexed citations. Recurring topics across this work include Orthopaedic implants and arthroplasty (351 papers), Total Knee Arthroplasty Outcomes (314 papers), Orthopedic Infections and Treatments (249 papers), Hip disorders and treatments (64 papers), Hip and Femur Fractures (38 papers), Pelvic and Acetabular Injuries (22 papers), Knee injuries and reconstruction techniques (15 papers) and Bone and Joint Diseases (10 papers). The work is most often cited by research in Surgery (23.2k citations), Internal Medicine (447 citations), Orthopedics and Sports Medicine (944 citations), Applied Microbiology and Biotechnology (182 citations) and Health Informatics (110 citations). Daniel J. Berry has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Kevin J. Bozic, Kevin Ong, Steven M. Kurtz, Edmund Lau, Matthew P. Abdel, David G. Lewallen, Robert T. Trousdale, William S. Harmsen, Thomas P. Vail and Miguel E. Cabanela. Their work appears in journals such as The Journal of Arthroplasty, Journal of Bone and Joint Surgery, Clinical Orthopaedics and Related Research, The Bone & Joint Journal and Orthopedics.
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.