Marisa Pautasso

853 citations
35 papers · 584 indexed · h-index 12

Marisa Pautasso

33 papers receiving 574 citations

Peers

Marisa Pautasso
Comparison fields: 5 of 80
  • Hematology 262
  • Genetics 187
  • Cancer Research 83
  • Molecular Biology 264
  • Pathology and Forensic Medicine 69
Replace Cristina Panuzzo with:
Cristina Panuzzo Italy
Victoria Grandage United Kingdom
Alan K. Ikeda United States
Seppo Pakkala Finland
Elisa Luño Spain
Soumen Chakraborty India
Nélida I. Noguera Italy
Ugo Consoli United States
Maria De Angioletti Italy
Giuseppina Fugazza Italy
Marisa Pautasso relative to Cristina Panuzzo Italy Cristina Panuzzo's profile →
Citations per field
00.5×1.6×
Cristina Panuzzo · 1×
Citations per year

Countries citing papers authored by Marisa Pautasso

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Marisa Pautasso, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marisa Pautasso Line = papers co-authored together Marisa Pautasso links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20235
2 20230
3
Inter-laboratory method validation of CD34+ flow-cytometry assay: the experience of Turin Metropolitan Transplant Centre.
20232
4 20145
5
Estudio de la función renal en pacientes con hipotiroidismo subclínico: Respuesta al tratamiento con levotiroxina
20121
6 20121
7 20121
8 20113
9 201127
10 2010116
11 200951
12 20081
13 200718
14 200717
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?
20072
16 200637
17 200630
18 200570
19 19962
20 19924

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), Chronic Lymphocytic Leukemia Research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Multiple Sclerosis Research Studies (2 papers), Immunotherapy and Immune Responses (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Cancer Genomics and Diagnostics (2 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.

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