Caterina Vacchi
- Pulmonary and Respiratory Medicine top 5%
- Pathology and Forensic Medicine top 5%
- Physiology top 10%
- Rheumatology top 5%
- Epidemiology
- Co-authors
- Andreina ManfrediMarco SebastianiGiulia CassoneFabrizio LuppiStefania CerriCarlo SalvaraniGiovanni Della CasaDilia Giuggioli
- Topics
- Systemic Sclerosis and Related Diseases (24 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (22 papers)Inflammatory Myopathies and Dermatomyositis (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnnals of the Rheumatic DiseasesLara D. Veeken
In The Last Decade
Caterina Vacchi
40 papers receiving 691 citations
Peers
Comparison fields: 5 of 70
- Pulmonary and Respiratory Medicine 439
- Pathology and Forensic Medicine 306
- Physiology 217
- Rheumatology 204
- Epidemiology 201
Countries citing papers authored by Caterina Vacchi
This map shows the geographic impact of Caterina Vacchi'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 Caterina Vacchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caterina Vacchi more than expected).
Fields of papers citing papers by Caterina Vacchi
This network shows the impact of papers produced by Caterina Vacchi. 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 Caterina Vacchi. The network helps show where Caterina Vacchi may publish in the future.
Co-authorship network of co-authors of Caterina Vacchi
This figure shows the co-authorship network connecting the top 25 collaborators of Caterina Vacchi. A scholar is included among the top collaborators of Caterina Vacchi 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 Caterina Vacchi. Caterina Vacchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | 7 | |
| 4 | 28 | |
| 5 | 9 | |
| 6 | 13 | |
| 7 | 77 | |
| 8 | 47 | |
| 9 | 16 | |
| 10 | 16 | |
| 11 | 11 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 8 | |
| 15 | 41 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | 3 | |
| 20 | 43 |
About Caterina Vacchi
Caterina Vacchi is a scholar working on Pathology and Forensic Medicine, Rheumatology and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 698 indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (24 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (22 papers) and Inflammatory Myopathies and Dermatomyositis (14 papers). The work is most often cited by research in Pathology and Forensic Medicine (306 citations), Rheumatology (204 citations) and Pulmonary and Respiratory Medicine (439 citations). Caterina Vacchi has collaborated with scholars based in Italy and Australia. Frequent co-authors include Andreina Manfredi, Marco Sebastiani, Giulia Cassone, Fabrizio Luppi, Stefania Cerri, Carlo Salvarani, Giovanni Della Casa, Carlo Salvarani, Dilia Giuggioli and Michele Colaci. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of the Rheumatic Diseases and Lara D. Veeken.
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.