Federica Chianale
- Molecular Biology
- Physiology top 10%
- Endocrine and Autonomic Systems top 5%
- Cell Biology top 10%
- Nutrition and Dietetics top 10%
- Co-authors
- Andrea GrazianiGianluca BaldanziNicoletta FilighedduPaolo E. PorporatoFabiola SinigagliaViola F. GnocchiN SuricoElena Rainero
- Topics
- Liver physiology and pathology (4 papers)Cellular Mechanics and Interactions (4 papers)Fibroblast Growth Factor Research (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Cell Biology
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Federica Chianale
18 papers receiving 795 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 380
- Physiology 239
- Endocrine and Autonomic Systems 199
- Cell Biology 165
- Nutrition and Dietetics 103
Countries citing papers authored by Federica Chianale
This map shows the geographic impact of Federica Chianale'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 Federica Chianale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federica Chianale more than expected).
Fields of papers citing papers by Federica Chianale
This network shows the impact of papers produced by Federica Chianale. 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 Federica Chianale. The network helps show where Federica Chianale may publish in the future.
Co-authorship network of co-authors of Federica Chianale
This figure shows the co-authorship network connecting the top 25 collaborators of Federica Chianale. A scholar is included among the top collaborators of Federica Chianale 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 Federica Chianale. Federica Chianale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 26 | |
| 3 | 30 | |
| 4 | 30 | |
| 5 | 7 | |
| 6 | 35 | |
| 7 | 162 | |
| 8 | 41 | |
| 9 | 22 | |
| 10 | 34 | |
| 11 | 42 | |
| 12 | 58 | |
| 13 | 23 | |
| 14 | 30 | |
| 15 | 47 | |
| 16 | Diacylglycerol kinase is required for HGF-induced invasiveness and anchorage-independent growth of MDA-MB-231 breast cancer cells. | 21 |
| 17 | 175 | |
| 18 | 8 |
About Federica Chianale
Federica Chianale is a scholar working on Hepatology, Cell Biology and Endocrine and Autonomic Systems, having authored 18 papers that have together received 801 indexed citations. Recurring topics across this work include Liver physiology and pathology (4 papers), Cellular Mechanics and Interactions (4 papers) and Fibroblast Growth Factor Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (199 citations), Cell Biology (165 citations) and Physiology (239 citations). Federica Chianale has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Andrea Graziani, Gianluca Baldanzi, Nicoletta Filigheddu, Paolo E. Porporato, Fabiola Sinigaglia, Viola F. Gnocchi, N Surico, Elena Rainero, Santina Cutrupi and Alberto Puliafito. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Cell Biology.
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.