Carmen Pizzorni
- Pathology and Forensic Medicine top 0.2%
- Dermatology top 0.1%
- Rheumatology top 1%
- Immunology top 2%
- Surgery top 5%
- Co-authors
- Maurizio CutoloAlberto SulliSabrina PaolinoVanessa SmithMaria Elena SecchiBarbara RuaroB. SerioloC Craviotto
- Topics
- Systemic Sclerosis and Related Diseases (121 papers)Dermatologic Treatments and Research (60 papers)Systemic Lupus Erythematosus Research (25 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAnnals of the New York Academy of Sciences
- Partner nations
- ItalyBelgiumUnited States
In The Last Decade
Carmen Pizzorni
170 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 142
- Pathology and Forensic Medicine 3.2k
- Dermatology 1.8k
- Rheumatology 968
- Immunology 929
- Surgery 852
Countries citing papers authored by Carmen Pizzorni
This map shows the geographic impact of Carmen Pizzorni'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 Carmen Pizzorni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Pizzorni more than expected).
Fields of papers citing papers by Carmen Pizzorni
This network shows the impact of papers produced by Carmen Pizzorni. 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 Carmen Pizzorni. The network helps show where Carmen Pizzorni may publish in the future.
Co-authorship network of co-authors of Carmen Pizzorni
This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Pizzorni. A scholar is included among the top collaborators of Carmen Pizzorni 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 Carmen Pizzorni. Carmen Pizzorni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 22 | |
| 9 | 4 | |
| 10 | 32 | |
| 11 | 33 | |
| 12 | 11 | |
| 13 | 43 | |
| 14 | Low circulating endothelial progenitor cell levels and high VEGF serum levels are associated with the late nailfold capillaroscopic pattern in systemic sclerosis | 2 |
| 15 | 1 | |
| 16 | Reliability of the qualitative and semiquantitative nailfold videocapillaroscopy assessment in a systemic sclerosis cohort: a bi-centre study | 2 |
| 17 | 36 | |
| 18 | 35 | |
| 19 | 12 | |
| 20 | 15 |
About Carmen Pizzorni
Carmen Pizzorni is a scholar working on Dermatology, Pathology and Forensic Medicine and Rheumatology, having authored 180 papers that have together received 5.2k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (121 papers), Dermatologic Treatments and Research (60 papers) and Systemic Lupus Erythematosus Research (25 papers). The work is most often cited by research in Dermatology (1.8k citations), Pathology and Forensic Medicine (3.2k citations) and Rheumatology (968 citations). Carmen Pizzorni has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Maurizio Cutolo, Alberto Sulli, Sabrina Paolino, Vanessa Smith, Maria Elena Secchi, Barbara Ruaro, B. Seriolo, C Craviotto, Stefano Soldano and Barbara Villaggio. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Annals of the New York Academy of Sciences.
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.