David Sillence
- Genetics top 0.1%
- Rheumatology top 0.2%
- Molecular Biology top 5%
- Epidemiology top 2%
- Surgery top 2%
- Co-authors
- D. M. DanksFleur S. van DijkRavi SavarirayanStefan MundlosGeert MortierValérie Cormier‐DaireGen NishimuraAndrea Superti‐Furga
- Topics
- Connective tissue disorders research (63 papers)Lysosomal Storage Disorders Research (16 papers)Bone and Dental Protein Studies (11 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
David Sillence
120 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Genetics 5.4k
- Rheumatology 2.4k
- Molecular Biology 2.3k
- Epidemiology 1.3k
- Surgery 1.3k
Countries citing papers authored by David Sillence
This map shows the geographic impact of David Sillence'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 David Sillence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sillence more than expected).
Fields of papers citing papers by David Sillence
This network shows the impact of papers produced by David Sillence. 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 David Sillence. The network helps show where David Sillence may publish in the future.
Co-authorship network of co-authors of David Sillence
This figure shows the co-authorship network connecting the top 25 collaborators of David Sillence. A scholar is included among the top collaborators of David Sillence 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 David Sillence. David Sillence is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | Nosology and classification of genetic skeletal disorders: 2015 revisionbreakdown → | 367 |
| 3 | 57 | |
| 4 | Osteogenesis imperfecta: Clinical diagnosis, nomenclature and severity assessmentbreakdown → | 501 |
| 5 | 20 | |
| 6 | Nosology and classification of genetic skeletal disorders: 2010 revisionbreakdown → | 450 |
| 7 | 48 | |
| 8 | 52 | |
| 9 | 5 | |
| 10 | 101 | |
| 11 | 74 | |
| 12 | 24 | |
| 13 | 11 | |
| 14 | 145 | |
| 15 | 63 | |
| 16 | 25 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 17 | |
| 20 | 4 |
About David Sillence
David Sillence is a scholar working on Genetics, Rheumatology and Developmental Biology, having authored 120 papers that have together received 8.3k indexed citations. Recurring topics across this work include Connective tissue disorders research (63 papers), Lysosomal Storage Disorders Research (16 papers) and Bone and Dental Protein Studies (11 papers). The work is most often cited by research in Genetics (5.4k citations), Rheumatology (2.4k citations) and Immunology and Allergy (291 citations). David Sillence has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include D. M. Danks, Fleur S. van Dijk, Ravi Savarirayan, Stefan Mundlos, Geert Mortier, Valérie Cormier‐Daire, Gen Nishimura, Andrea Superti‐Furga, Sheila Unger and Matthew L. Warman. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Genetics.
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.