Francesco Blasi
- Cancer Research top 0.02%
- Molecular Biology top 0.5%
- Hematology top 0.05%
- Oncology top 0.5%
- Immunology and Allergy top 0.05%
- Co-authors
- Keld DanøNicolai SidéniusPeter CarmelietEttore AppellaMaria Vittoria CubellisNiels BehrendtMaria Patrizia StoppelliPasquale Verde
- Topics
- Protease and Inhibitor Mechanisms (143 papers)Blood Coagulation and Thrombosis Mechanisms (67 papers)Peptidase Inhibition and Analysis (47 papers)
- Partner nations
- ItalyUnited StatesDenmark
In The Last Decade
Francesco Blasi
280 papers receiving 20.0k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Cancer Research 11.7k
- Molecular Biology 9.5k
- Hematology 6.0k
- Oncology 4.6k
- Immunology and Allergy 3.7k
Countries citing papers authored by Francesco Blasi
This map shows the geographic impact of Francesco Blasi'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 Francesco Blasi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Blasi more than expected).
Fields of papers citing papers by Francesco Blasi
This network shows the impact of papers produced by Francesco Blasi. 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 Francesco Blasi. The network helps show where Francesco Blasi may publish in the future.
Co-authorship network of co-authors of Francesco Blasi
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Blasi. A scholar is included among the top collaborators of Francesco Blasi 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 Francesco Blasi. Francesco Blasi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 10 | |
| 4 | 41 | |
| 5 | 43 | |
| 6 | 219 | |
| 7 | 36 | |
| 8 | 34 | |
| 9 | 19 | |
| 10 | 60 | |
| 11 | 39 | |
| 12 | 304 | |
| 13 | 2 | |
| 14 | Soluble urokinase receptor levels correlate with number of circulating tumor cells in acute myeloid leukemia and decrease rapidly during chemotherapy. | 89 |
| 15 | 14 | |
| 16 | 58 | |
| 17 | Separation and characterization of non-phosphorylated and serine-phosphorylated human urokinase. Catalytic properties and sensitivity to PAI-1 | 2 |
| 18 | 50 | |
| 19 | 80 | |
| 20 | 1 |
About Francesco Blasi
Francesco Blasi is a scholar working on Cancer Research, Hematology and Immunology and Allergy, having authored 281 papers that have together received 20.7k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (143 papers), Blood Coagulation and Thrombosis Mechanisms (67 papers) and Peptidase Inhibition and Analysis (47 papers). The work is most often cited by research in Cancer Research (11.7k citations), Immunology and Allergy (3.7k citations) and Hematology (6.0k citations). Francesco Blasi has collaborated with scholars based in Italy, United States and Denmark. Frequent co-authors include Keld Danø, Nicolai Sidénius, Peter Carmeliet, Ettore Appella, Maria Vittoria Cubellis, Niels Behrendt, Maria Patrizia Stoppelli, Pasquale Verde, Giovanni Cassani and Angelo Corti. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids 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.