Patrizia Dentelli
- Molecular Biology top 10%
- Cancer Research top 5%
- Immunology top 10%
- Oncology top 10%
- Physiology top 10%
- Co-authors
- Maria Felice BrizziArturo RossoLuigi PegoraroGiovanni CamussiGabriele TogliattoCristina OlgasiDaniela TavernaGiovanni Maria Garbarino
- Topics
- Angiogenesis and VEGF in Cancer (15 papers)MicroRNA in disease regulation (8 papers)Cell Adhesion Molecules Research (8 papers)
- Partner nations
- ItalyBelarusUnited States
In The Last Decade
Patrizia Dentelli
47 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.1k
- Cancer Research 606
- Immunology 401
- Oncology 274
- Physiology 243
Countries citing papers authored by Patrizia Dentelli
This map shows the geographic impact of Patrizia Dentelli'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 Patrizia Dentelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrizia Dentelli more than expected).
Fields of papers citing papers by Patrizia Dentelli
This network shows the impact of papers produced by Patrizia Dentelli. 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 Patrizia Dentelli. The network helps show where Patrizia Dentelli may publish in the future.
Co-authorship network of co-authors of Patrizia Dentelli
This figure shows the co-authorship network connecting the top 25 collaborators of Patrizia Dentelli. A scholar is included among the top collaborators of Patrizia Dentelli 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 Patrizia Dentelli. Patrizia Dentelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 31 | |
| 3 | 68 | |
| 4 | 102 | |
| 5 | 2 | |
| 6 | 33 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 23 | |
| 10 | 33 | |
| 11 | 14 | |
| 12 | 51 | |
| 13 | 21 | |
| 14 | 11 | |
| 15 | 96 | |
| 16 | 129 | |
| 17 | RAGE and TGF beta receptor-mediated signals converge on STAT5 and p21(WAF) to control cell-cycle progression of mesangial cells: a possible role in the development and progression of diabetic nephropathy. | 17 |
| 18 | 21 | |
| 19 | 22 | |
| 20 | 82 |
About Patrizia Dentelli
Patrizia Dentelli is a scholar working on Immunology and Allergy, Cancer Research and Immunology, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (15 papers), MicroRNA in disease regulation (8 papers) and Cell Adhesion Molecules Research (8 papers). The work is most often cited by research in Cancer Research (606 citations), Immunology (401 citations) and Molecular Biology (1.1k citations). Patrizia Dentelli has collaborated with scholars based in Italy, Belarus and United States. Frequent co-authors include Maria Felice Brizzi, Arturo Rosso, Luigi Pegoraro, Giovanni Camussi, Gabriele Togliatto, Cristina Olgasi, Daniela Taverna, Giovanni Maria Garbarino, Antonella Trombetta and Francesca Orso. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
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.