Paolo Viacava
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 1%
- Oncology top 5%
- Nephrology top 0.5%
- Surgery top 5%
- Co-authors
- Antonio Giuseppe NaccaratoPaolo MiccoliAldo PincheraGeneroso BevilacquaClaudio MarcocciFilomena CetaniElena PardiGregory C. Fanelli
- Topics
- Parathyroid Disorders and Treatments (15 papers)Thyroid Cancer Diagnosis and Treatment (11 papers)Breast Lesions and Carcinomas (10 papers)
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
Paolo Viacava
112 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 120
- Molecular Biology 1.1k
- Endocrinology, Diabetes and Metabolism 838
- Oncology 800
- Nephrology 739
- Surgery 718
Countries citing papers authored by Paolo Viacava
This map shows the geographic impact of Paolo Viacava'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 Viacava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Viacava more than expected).
Fields of papers citing papers by Paolo Viacava
This network shows the impact of papers produced by Paolo Viacava. 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 Viacava. The network helps show where Paolo Viacava may publish in the future.
Co-authorship network of co-authors of Paolo Viacava
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Viacava. A scholar is included among the top collaborators of Paolo Viacava 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 Viacava. Paolo Viacava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 21 | |
| 3 | 18 | |
| 4 | 101 | |
| 5 | 29 | |
| 6 | 44 | |
| 7 | 13 | |
| 8 | 53 | |
| 9 | 16 | |
| 10 | 18 | |
| 11 | 35 | |
| 12 | 3 | |
| 13 | 32 | |
| 14 | 24 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 52 | |
| 18 | Relationship between five years survival and age at diagnosis in breast cancer: multivariate analysis. | 1 |
| 19 | Biodistribution and pharmacokinetic screening in humans of monoclonal antibody AR-3 as a possible immunoscintigraphy agent in patients with pancreatic cancer. | 0 |
| 20 | 27 |
About Paolo Viacava
Paolo Viacava is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 117 papers that have together received 3.3k indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (15 papers), Thyroid Cancer Diagnosis and Treatment (11 papers) and Breast Lesions and Carcinomas (10 papers). The work is most often cited by research in Nephrology (739 citations), Endocrinology, Diabetes and Metabolism (838 citations) and Oncology (800 citations). Paolo Viacava has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Antonio Giuseppe Naccarato, Paolo Miccoli, Aldo Pinchera, Generoso Bevilacqua, Claudio Marcocci, Filomena Cetani, Elena Pardi, Gregory C. Fanelli, Luca Chiovato and Paolo Vitti. Their work appears in journals such as Circulation, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.