Federico Tagliati
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology top 10%
- Cancer Research top 5%
- Epidemiology top 5%
- Oncology top 10%
- Co-authors
- Ettore C. degli UbertiMaria Chiara ZatelliDaniela PiccinArianna BottoniAndrea LuchinMaria Rosaria AmbrosioMichael D. CullerMarta Bondanelli
- Topics
- Pituitary Gland Disorders and Treatments (20 papers)Neuroendocrine Tumor Research Advances (17 papers)Cancer, Hypoxia, and Metabolism (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- ItalyUnited StatesBelgium
In The Last Decade
Federico Tagliati
56 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 92
- Endocrinology, Diabetes and Metabolism 952
- Molecular Biology 810
- Cancer Research 615
- Epidemiology 590
- Oncology 411
Countries citing papers authored by Federico Tagliati
This map shows the geographic impact of Federico Tagliati'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 Federico Tagliati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Tagliati more than expected).
Fields of papers citing papers by Federico Tagliati
This network shows the impact of papers produced by Federico Tagliati. 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 Federico Tagliati. The network helps show where Federico Tagliati may publish in the future.
Co-authorship network of co-authors of Federico Tagliati
This figure shows the co-authorship network connecting the top 25 collaborators of Federico Tagliati. A scholar is included among the top collaborators of Federico Tagliati 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 Federico Tagliati. Federico Tagliati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 29 | |
| 6 | 12 | |
| 7 | 41 | |
| 8 | 22 | |
| 9 | 11 | |
| 10 | 29 | |
| 11 | Evaluation of PKC isoforms expression in thyroid cells lines and effects of a PKC beta II selective inhibitor | 1 |
| 12 | 54 | |
| 13 | 42 | |
| 14 | 72 | |
| 15 | 38 | |
| 16 | 11 | |
| 17 | Role of complex Cdk4/Cyclin D1 in somatostatin subtype 2 receptor-mediated inhibition of cell proliferation of a medullary thyroid carcinoma cell line in vitro | 1 |
| 18 | 287 | |
| 19 | 49 | |
| 20 | 23 |
About Federico Tagliati
Federico Tagliati is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Genetics, having authored 57 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (20 papers), Neuroendocrine Tumor Research Advances (17 papers) and Cancer, Hypoxia, and Metabolism (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (952 citations), Cancer Research (615 citations) and Genetics (199 citations). Federico Tagliati has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Ettore C. degli Uberti, Maria Chiara Zatelli, Daniela Piccin, Arianna Bottoni, Andrea Luchin, Maria Rosaria Ambrosio, Michael D. Culler, Marta Bondanelli, Erica Gentilin and Mattia Buratto. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.