Marisa Pautasso
- Molecular Biology
- Hematology top 5%
- Genetics top 5%
- Oncology
- Cancer Research
- Co-authors
- Giuseppe SaglioDaniela CilloniEnrico BraccoEmanuela MessaSonia CarturanIlaria DefilippiFrancesca ArrugaValentina Rosso
- Topics
- Acute Myeloid Leukemia Research (7 papers)Chronic Myeloid Leukemia Treatments (7 papers)Chronic Lymphocytic Leukemia Research (5 papers)
- Cited by
- HematologyGeneticsCancer Research
- Journals
- BloodCancerCancer Research
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Marisa Pautasso
33 papers receiving 574 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 264
- Hematology 262
- Genetics 187
- Oncology 98
- Cancer Research 83
Countries citing papers authored by Marisa Pautasso
This map shows the geographic impact of Marisa Pautasso'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 Marisa Pautasso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marisa Pautasso more than expected).
Fields of papers citing papers by Marisa Pautasso
This network shows the impact of papers produced by Marisa Pautasso. 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 Marisa Pautasso. The network helps show where Marisa Pautasso may publish in the future.
Co-authorship network of co-authors of Marisa Pautasso
This figure shows the co-authorship network connecting the top 25 collaborators of Marisa Pautasso. A scholar is included among the top collaborators of Marisa Pautasso 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 Marisa Pautasso. Marisa Pautasso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | Inter-laboratory method validation of CD34+ flow-cytometry assay: the experience of Turin Metropolitan Transplant Centre. | 2 |
| 4 | 5 | |
| 5 | Estudio de la función renal en pacientes con hipotiroidismo subclínico: Respuesta al tratamiento con levotiroxina | 1 |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 27 | |
| 10 | 116 | |
| 11 | 51 | |
| 12 | 1 | |
| 13 | 18 | |
| 14 | 17 | |
| 15 | A peculiar pattern of expression of the transferrin receptor (CD71) by reticulocytes in patients given recombinant human erythropoietin (rHuEPO): a novel marker for abuse in sport? | 2 |
| 16 | 37 | |
| 17 | 30 | |
| 18 | 70 | |
| 19 | 2 | |
| 20 | 4 |
About Marisa Pautasso
Marisa Pautasso is a scholar working on Hematology, Genetics and Biological Psychiatry, having authored 35 papers that have together received 584 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Chronic Lymphocytic Leukemia Research (5 papers). The work is most often cited by research in Hematology (262 citations), Genetics (187 citations) and Cancer Research (83 citations). Marisa Pautasso has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Giuseppe Saglio, Daniela Cilloni, Enrico Bracco, Emanuela Messa, Sonia Carturan, Ilaria Defilippi, Francesca Arruga, Valentina Rosso, Alessandro Morotti and F. Messa. Their work appears in journals such as Blood, Cancer and Cancer 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.