Chiara Bocelli‐Tyndall
- Pathology and Forensic Medicine top 2%
- Genetics top 1%
- Pulmonary and Respiratory Medicine top 10%
- Surgery top 10%
- Immunology top 10%
- Co-authors
- Alan TyndallDominique FargeUlrich A. WalkerMarco Matucci‐CerinicChristopher P. DentonIván MartínUlf Müller‐LadnerL. Czirják
- Topics
- Mesenchymal stem cell research (14 papers)Tissue Engineering and Regenerative Medicine (5 papers)Osteoarthritis Treatment and Mechanisms (5 papers)
- Partner nations
- SwitzerlandItalyNetherlands
In The Last Decade
Chiara Bocelli‐Tyndall
17 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Pathology and Forensic Medicine 718
- Genetics 627
- Pulmonary and Respiratory Medicine 313
- Surgery 303
- Immunology 296
Countries citing papers authored by Chiara Bocelli‐Tyndall
This map shows the geographic impact of Chiara Bocelli‐Tyndall'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 Chiara Bocelli‐Tyndall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Bocelli‐Tyndall more than expected).
Fields of papers citing papers by Chiara Bocelli‐Tyndall
This network shows the impact of papers produced by Chiara Bocelli‐Tyndall. 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 Chiara Bocelli‐Tyndall. The network helps show where Chiara Bocelli‐Tyndall may publish in the future.
Co-authorship network of co-authors of Chiara Bocelli‐Tyndall
This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Bocelli‐Tyndall. A scholar is included among the top collaborators of Chiara Bocelli‐Tyndall 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 Chiara Bocelli‐Tyndall. Chiara Bocelli‐Tyndall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 65 | |
| 2 | 18 | |
| 3 | 58 | |
| 4 | 29 | |
| 5 | 66 | |
| 6 | 25 | |
| 7 | 26 | |
| 8 | 77 | |
| 9 | 27 | |
| 10 | 43 | |
| 11 | 37 | |
| 12 | Clinical risk assessment of organ manifestations in systemic sclerosis: a report from the EULAR Scleroderma Trials And Research group databasebreakdown → | 628 |
| 13 | 94 | |
| 14 | 131 | |
| 15 | 25 | |
| 16 | 157 | |
| 17 | 48 |
About Chiara Bocelli‐Tyndall
Chiara Bocelli‐Tyndall is a scholar working on Genetics, Rheumatology and Urology, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (14 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Osteoarthritis Treatment and Mechanisms (5 papers). The work is most often cited by research in Genetics (627 citations), Pathology and Forensic Medicine (718 citations) and Dermatology (242 citations). Chiara Bocelli‐Tyndall has collaborated with scholars based in Switzerland, Italy and Netherlands. Frequent co-authors include Alan Tyndall, Dominique Farge, Ulrich A. Walker, Marco Matucci‐Cerinic, Christopher P. Denton, Iván Martín, Ulf Müller‐Ladner, L. Czirják, Otylia Kowal‐Bielecka and Giulio C. Spagnoli. Their work appears in journals such as PLoS ONE, International Journal of Cancer and Annals of the Rheumatic Diseases.
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.