Paolo Salerno
- Molecular Biology
- Oncology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cancer Research top 10%
- Genetics
- Co-authors
- Giuliana SalvatoreMassimo SantoroTito Claudio NappiRosa Marina MelilloValentina De FalcoFulvio BasoloAnna TamburrinoMaria Domenica Castellone
- Topics
- Cancer-related Molecular Pathways (12 papers)Thyroid Cancer Diagnosis and Treatment (11 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Paolo Salerno
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 667
- Oncology 410
- Endocrinology, Diabetes and Metabolism 379
- Cancer Research 254
- Genetics 123
Countries citing papers authored by Paolo Salerno
This map shows the geographic impact of Paolo Salerno'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 Salerno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Salerno more than expected).
Fields of papers citing papers by Paolo Salerno
This network shows the impact of papers produced by Paolo Salerno. 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 Salerno. The network helps show where Paolo Salerno may publish in the future.
Co-authorship network of co-authors of Paolo Salerno
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Salerno. A scholar is included among the top collaborators of Paolo Salerno 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 Salerno. Paolo Salerno 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 | 7 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 12 | |
| 6 | 23 | |
| 7 | 25 | |
| 8 | 97 | |
| 9 | 60 | |
| 10 | 35 | |
| 11 | 58 | |
| 12 | 116 | |
| 13 | 38 | |
| 14 | 35 | |
| 15 | 53 | |
| 16 | 153 | |
| 17 | Access to and quality of health and social care for rare diseases: patients' and caregivers' experiences. | 9 |
| 18 | 91 | |
| 19 | [Accessibility and quality to health social services in Italy for the patients with rare diseases: the opinion of associations]. | 1 |
| 20 | [Sleep in progressive supranuclear palsy]. | 4 |
About Paolo Salerno
Paolo Salerno is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Molecular Biology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (12 papers), Thyroid Cancer Diagnosis and Treatment (11 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (379 citations), Cancer Research (254 citations) and Oncology (410 citations). Paolo Salerno has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giuliana Salvatore, Massimo Santoro, Tito Claudio Nappi, Rosa Marina Melillo, Valentina De Falco, Fulvio Basolo, Anna Tamburrino, Maria Domenica Castellone, Massimo Santoro and Francesca Carlomagno. Their work appears in journals such as Endocrine Reviews, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.
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.