Daniel B. Burkhardt

33 papers receiving 1.6k citations

Daniel B. Burkhardt's Hit Papers

Visualizing structure and transitions in high-dimensional biological data 2019 · 524 citations
5240+2+4Years since publication100200300400500

Peers

Daniel B. Burkhardt
Comparison fields: 5 of 151
  • Rheumatology 489
  • Equine 50
  • Biophysics 141
  • Orthopedics and Sports Medicine 144
  • Pharmacology 213
Replace Roger Bourne with:
Roger Bourne Australia
Liyun Wang China
Satoshi Takagi Japan
Pernilla Eliasson Sweden
Masahide Kashiwagi Japan
Hailiang Mei Netherlands
Arnout Ruifrok Netherlands
Gillian A. Wallis United Kingdom
Jeffrey H. Price United States
Yoshiaki Ito Japan
Daniel B. Burkhardt relative to Roger Bourne Australia Roger Bourne's profile →
Citations per field
00.5×4.5×
Roger Bourne · 1×
Citations per year

Countries citing papers authored by Daniel B. Burkhardt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Visualizing structure and transitions in high-dimensional biological data
Hit paper breakdown →
2019524
2 2002150
3
Longterm effects of intraarticular hyaluronan on synovial fluid in osteoarthritis of the knee.
2006137
4
Laboratory evaluation of antiarthritic drugs as potential chondroprotective agents.
198798
5 202184
6 201773
7 201669
8 201250
9 198545
10 201941
11
The effects of orally administered diacerein on cartilage and subchondral bone in an ovine model of osteoarthritis.
200140
12 198539
13 200038
14 200936
15 202235
16 200134
17 202233
18 200821
19 197818
20 201918

About Daniel B. Burkhardt

Daniel B. Burkhardt is a scholar working on Molecular Biology, Rheumatology, Oncology, Surgery 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), Tendon Structure and Treatment (6 papers), Single-cell and spatial transcriptomics (6 papers), Cell Image Analysis Techniques (5 papers), Proteoglycans and glycosaminoglycans research (5 papers), Knee injuries and reconstruction techniques (4 papers), Cancer Cells and Metastasis (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Rheumatology (489 citations), Equine (50 citations), Biophysics (141 citations), Orthopedics and Sports Medicine (144 citations) and Pharmacology (213 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, Matthew Hirn, William S. Chen, Ronald R. Coifman and Antonia van den Elzen. Their work appears in journals such as Nature Biotechnology, Osteoarthritis and Cartilage, Cancer Discovery, Inflammation Research and Nature Communications.

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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