Patrizia Bossolasco
- Genetics top 0.5%
- Molecular Biology top 10%
- Surgery top 5%
- Cellular and Molecular Neuroscience top 5%
- Developmental Neuroscience top 1%
- Co-authors
- Davide SoligoGiorgio La NasaN. QuiriciFederica ServidaVincenzo SilaniLidia CovaCinzia CalzarossaLorenza Caneva
- Topics
- Mesenchymal stem cell research (16 papers)Amyotrophic Lateral Sclerosis Research (11 papers)Neurogenesis and neuroplasticity mechanisms (9 papers)
- Journals
- BloodPLoS ONEScientific Reports
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Patrizia Bossolasco
40 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 91
- Genetics 1.2k
- Molecular Biology 893
- Surgery 554
- Cellular and Molecular Neuroscience 343
- Developmental Neuroscience 329
Countries citing papers authored by Patrizia Bossolasco
This map shows the geographic impact of Patrizia Bossolasco'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 Patrizia Bossolasco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrizia Bossolasco more than expected).
Fields of papers citing papers by Patrizia Bossolasco
This network shows the impact of papers produced by Patrizia Bossolasco. 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 Patrizia Bossolasco. The network helps show where Patrizia Bossolasco may publish in the future.
Co-authorship network of co-authors of Patrizia Bossolasco
This figure shows the co-authorship network connecting the top 25 collaborators of Patrizia Bossolasco. A scholar is included among the top collaborators of Patrizia Bossolasco 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 Patrizia Bossolasco. Patrizia Bossolasco 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 | 3 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 78 | |
| 8 | 16 | |
| 9 | 23 | |
| 10 | 14 | |
| 11 | 31 | |
| 12 | 146 | |
| 13 | 47 | |
| 14 | 15 | |
| 15 | 47 | |
| 16 | 454 | |
| 17 | 66 | |
| 18 | 2 | |
| 19 | 311 | |
| 20 | Isolation of highly purified mesenchymal cell progenitors using anti-ngfr antibodies | 1 |
About Patrizia Bossolasco
Patrizia Bossolasco is a scholar working on Developmental Neuroscience, Genetics and Neurology, having authored 40 papers that have together received 2.1k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (16 papers), Amyotrophic Lateral Sclerosis Research (11 papers) and Neurogenesis and neuroplasticity mechanisms (9 papers). The work is most often cited by research in Genetics (1.2k citations), Developmental Neuroscience (329 citations) and Cellular and Molecular Neuroscience (343 citations). Patrizia Bossolasco has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Davide Soligo, Giorgio La Nasa, N. Quirici, Federica Servida, Vincenzo Silani, Lidia Cova, Cinzia Calzarossa, Lorenza Caneva, E. Polli and Chiara Borsotti. Their work appears in journals such as Blood, PLoS ONE and Scientific Reports.
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.