Franca Bianchi
- Molecular Biology top 10%
- Surgery top 5%
- Genetics top 1%
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology top 10%
- Co-authors
- Carlo VenturaSperanza RubattuMassimo VolpeMaurizio ForteSimona MarchittiMaria CotugnoGianandrea PasquinelliRosita Stanzione
- Topics
- Mesenchymal stem cell research (15 papers)Tissue Engineering and Regenerative Medicine (10 papers)Mitochondrial Function and Pathology (9 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Franca Bianchi
76 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 133
- Molecular Biology 871
- Surgery 719
- Genetics 627
- Cardiology and Cardiovascular Medicine 315
- Epidemiology 307
Countries citing papers authored by Franca Bianchi
This map shows the geographic impact of Franca Bianchi'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 Franca Bianchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franca Bianchi more than expected).
Fields of papers citing papers by Franca Bianchi
This network shows the impact of papers produced by Franca Bianchi. 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 Franca Bianchi. The network helps show where Franca Bianchi may publish in the future.
Co-authorship network of co-authors of Franca Bianchi
This figure shows the co-authorship network connecting the top 25 collaborators of Franca Bianchi. A scholar is included among the top collaborators of Franca Bianchi 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 Franca Bianchi. Franca Bianchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 36 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 14 | |
| 6 | 18 | |
| 7 | 205 | |
| 8 | 15 | |
| 9 | 13 | |
| 10 | 28 | |
| 11 | Human Stem Cell Exposure to Developmental Stage Zebrafish Extracts: a Novel Strategy for Tuning Stemness and Senescence Patterning | 7 |
| 12 | 50 | |
| 13 | 21 | |
| 14 | 44 | |
| 15 | 13 | |
| 16 | 8 | |
| 17 | Landscape dynamics risk management in Northern Apennines (Italy) | 9 |
| 18 | Cell-specific effects of lead on cultured neurons of the freshwater snail Planorbarius corneus. | 1 |
| 19 | 3 | |
| 20 | 2 |
About Franca Bianchi
Franca Bianchi is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Clinical Biochemistry, having authored 77 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (15 papers), Tissue Engineering and Regenerative Medicine (10 papers) and Mitochondrial Function and Pathology (9 papers). The work is most often cited by research in Genetics (627 citations), Surgery (719 citations) and Neurology (121 citations). Franca Bianchi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Carlo Ventura, Speranza Rubattu, Massimo Volpe, Maurizio Forte, Simona Marchitti, Maria Cotugno, Gianandrea Pasquinelli, Rosita Stanzione, Margherita Maioli and Silvia Cantoni. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.