Paolo Vicini
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Claudio CobelliAndrew C. HookerMary E. SpilkerP. Hugh R. BarrettHellmut GoldeDavid M. FosterBradley M. BellAndrea Caumo
- Topics
- Statistical Methods in Clinical Trials (18 papers)Diabetes Management and Research (11 papers)Monoclonal and Polyclonal Antibodies Research (11 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Paolo Vicini
126 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 155
- Molecular Biology 1000
- Radiology, Nuclear Medicine and Imaging 659
- Endocrinology, Diabetes and Metabolism 644
- Oncology 613
- Pulmonary and Respiratory Medicine 527
Countries citing papers authored by Paolo Vicini
This map shows the geographic impact of Paolo Vicini'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 Paolo Vicini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Vicini more than expected).
Fields of papers citing papers by Paolo Vicini
This network shows the impact of papers produced by Paolo Vicini. 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 Paolo Vicini. The network helps show where Paolo Vicini may publish in the future.
Co-authorship network of co-authors of Paolo Vicini
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Vicini. A scholar is included among the top collaborators of Paolo Vicini 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 Paolo Vicini. Paolo Vicini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 51 | |
| 3 | 71 | |
| 4 | 23 | |
| 5 | 15 | |
| 6 | 63 | |
| 7 | 22 | |
| 8 | Characterization of Regional RTP801 Gene Expression Within the Retina and the Concentration-Effect Relationship of PF-655, an RTP801-silencing siRNA, Following Intravitreous Administration to Diabetic Rats | 1 |
| 9 | 16 | |
| 10 | 5 | |
| 11 | 39 | |
| 12 | 14 | |
| 13 | 162 | |
| 14 | 22 | |
| 15 | 14 | |
| 16 | 80 | |
| 17 | 22 | |
| 18 | 11 | |
| 19 | 108 | |
| 20 | 20 |
About Paolo Vicini
Paolo Vicini is a scholar working on Statistics and Probability, Modeling and Simulation and Transplantation, having authored 127 papers that have together received 3.8k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (18 papers), Diabetes Management and Research (11 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). The work is most often cited by research in Modeling and Simulation (245 citations), Endocrinology, Diabetes and Metabolism (644 citations) and Statistics and Probability (248 citations). Paolo Vicini has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Claudio Cobelli, Andrew C. Hooker, Mary E. Spilker, P. Hugh R. Barrett, Hellmut Golde, David M. Foster, Bradley M. Bell, Andrea Caumo, Alan Schumitzky and Lorin Roskos. Their work appears in journals such as Circulation, Nature Communications and Blood.
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.