Paola Masolini
- Hematology top 2%
- Oncology top 10%
- Molecular Biology
- Genetics top 5%
- Rheumatology top 5%
- Co-authors
- Michele BaccaraniMariagrazia MichieliDaniela DamianiAngela MicheluttiAnna ErmacoraRenato FaninDonatella RaspadoriAntonella Geromin
- Topics
- Drug Transport and Resistance Mechanisms (12 papers)Acute Myeloid Leukemia Research (4 papers)Chronic Lymphocytic Leukemia Research (4 papers)
- Cited by
- HematologyGeneticsRheumatology
- Journals
- Annals of the New York Academy of SciencesAnnals of OncologyAnnals of the Rheumatic Diseases
- Partner nations
- ItalyNetherlandsSwitzerland
In The Last Decade
Paola Masolini
23 papers receiving 825 citations
Peers
Comparison fields: 5 of 66
- Hematology 389
- Oncology 294
- Molecular Biology 252
- Genetics 187
- Rheumatology 165
Countries citing papers authored by Paola Masolini
This map shows the geographic impact of Paola Masolini'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 Paola Masolini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Masolini more than expected).
Fields of papers citing papers by Paola Masolini
This network shows the impact of papers produced by Paola Masolini. 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 Paola Masolini. The network helps show where Paola Masolini may publish in the future.
Co-authorship network of co-authors of Paola Masolini
This figure shows the co-authorship network connecting the top 25 collaborators of Paola Masolini. A scholar is included among the top collaborators of Paola Masolini 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 Paola Masolini. Paola Masolini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 81 | |
| 3 | 16 | |
| 4 | 73 | |
| 5 | 24 | |
| 6 | 7 | |
| 7 | 22 | |
| 8 | 20 | |
| 9 | 22 | |
| 10 | 31 | |
| 11 | B-cell depletion with rituximab as treatment for immune hemolytic anemia and chronic thrombocytopenia. | 111 |
| 12 | 2 | |
| 13 | 37 | |
| 14 | 43 | |
| 15 | 99 | |
| 16 | P-glycoprotein (PGP), and not lung resistance-related protein (LRP), is a negative prognostic factor in secondary leukemias. | 30 |
| 17 | P170 (Pgp) expression in leukemic cells after therapeutic exposure to arabinosyl cytosine. | 2 |
| 18 | 63 | |
| 19 | 10 | |
| 20 | Restoring uptake and retention of daunorubicin and idarubicin in P170-related multidrug resistance cells by low concentration D-verapamil, cyclosporin-A and SDZ PSC 833. | 27 |
About Paola Masolini
Paola Masolini is a scholar working on Hematology, Genetics and Oncology, having authored 24 papers that have together received 849 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (12 papers), Acute Myeloid Leukemia Research (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Hematology (389 citations), Genetics (187 citations) and Rheumatology (165 citations). Paola Masolini has collaborated with scholars based in Italy, Netherlands and Switzerland. Frequent co-authors include Michele Baccarani, Mariagrazia Michieli, Daniela Damiani, Angela Michelutti, Anna Ermacora, Renato Fanin, Donatella Raspadori, Antonella Geromin, Alessandra Sperotto and Domenico Russo. Their work appears in journals such as Annals of the New York Academy of Sciences, Annals of Oncology and Annals of the Rheumatic Diseases.
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.