Daniel B. Burkhardt
- Molecular Biology
- Rheumatology top 2%
- Surgery top 10%
- Pharmacology top 5%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Smita KrishnaswamyDavid van DijkGuy WolfKevin R. MoonPranab GhoshScott GiganteWilliam S. ChenRonald R. Coifman
- Topics
- Osteoarthritis Treatment and Mechanisms (10 papers)Single-cell and spatial transcriptomics (6 papers)Tendon Structure and Treatment (6 papers)
- Cited by
- RheumatologyEquineBiophysics
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Daniel B. Burkhardt
33 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 583
- Rheumatology 489
- Surgery 349
- Pharmacology 213
- Pathology and Forensic Medicine 148
Countries citing papers authored by Daniel B. Burkhardt
This map shows the geographic impact of Daniel B. Burkhardt'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 B. Burkhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel B. Burkhardt more than expected).
Fields of papers citing papers by Daniel B. Burkhardt
This network shows the impact of papers produced by Daniel B. Burkhardt. 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 B. Burkhardt. The network helps show where Daniel B. Burkhardt may publish in the future.
Co-authorship network of co-authors of Daniel B. Burkhardt
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel B. Burkhardt. A scholar is included among the top collaborators of Daniel B. Burkhardt 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 Daniel B. Burkhardt. Daniel B. Burkhardt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 35 | |
| 4 | 33 | |
| 5 | 84 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 41 | |
| 9 | Visualizing structure and transitions in high-dimensional biological databreakdown → | 524 |
| 10 | 50 | |
| 11 | 36 | |
| 12 | 21 | |
| 13 | Longterm effects of intraarticular hyaluronan on synovial fluid in osteoarthritis of the knee. | 137 |
| 14 | 16 | |
| 15 | 150 | |
| 16 | 34 | |
| 17 | The effects of orally administered diacerein on cartilage and subchondral bone in an ovine model of osteoarthritis. | 40 |
| 18 | 38 | |
| 19 | 8 | |
| 20 | 16 |
About Daniel B. Burkhardt
Daniel B. Burkhardt is a scholar working on Biophysics, Rheumatology and Orthopedics and Sports Medicine, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (10 papers), Single-cell and spatial transcriptomics (6 papers) and Tendon Structure and Treatment (6 papers). The work is most often cited by research in Rheumatology (489 citations), Equine (50 citations) and Biophysics (141 citations). Daniel B. Burkhardt has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Smita Krishnaswamy, David van Dijk, Guy Wolf, Kevin R. Moon, Pranab Ghosh, Scott Gigante, William S. Chen, Ronald R. Coifman, Natalia Ivanova and Antonia van den Elzen. Their work appears in journals such as Nature Communications, Nature Biotechnology and Applied and Environmental Microbiology.
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.