Sarah Pozzi

2.2k total citations
31 papers, 1.3k citations indexed

About

Sarah Pozzi is a scholar working on Hematology, Genetics and Immunology. According to data from OpenAlex, Sarah Pozzi has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Hematology, 15 papers in Genetics and 6 papers in Immunology. Recurrent topics in Sarah Pozzi's work include Hematopoietic Stem Cell Transplantation (15 papers), Acute Myeloid Leukemia Research (11 papers) and Mesenchymal stem cell research (7 papers). Sarah Pozzi is often cited by papers focused on Hematopoietic Stem Cell Transplantation (15 papers), Acute Myeloid Leukemia Research (11 papers) and Mesenchymal stem cell research (7 papers). Sarah Pozzi collaborates with scholars based in Italy, United States and Germany. Sarah Pozzi's co-authors include Francesco Frassoni, Adalberto Ibatici, Marina Podestà, Giovanna Piaggio, Andrea Bacigalupo, Franco Locatelli, Rita Maccario, Antonia Moretta, Daniela Montagna and Liane Esteves Daudt and has published in prestigious journals such as Blood, British Journal of Haematology and Oncotarget.

In The Last Decade

Sarah Pozzi

30 papers receiving 1.2k citations

Peers

Sarah Pozzi
Sarah Pozzi
Citations per year, relative to Sarah Pozzi Sarah Pozzi (= 1×) peers Brigitta Omazic

Countries citing papers authored by Sarah Pozzi

Since Specialization
Citations

This map shows the geographic impact of Sarah Pozzi'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 Sarah Pozzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Pozzi more than expected).

Fields of papers citing papers by Sarah Pozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah Pozzi. 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 Sarah Pozzi. The network helps show where Sarah Pozzi may publish in the future.

Co-authorship network of co-authors of Sarah Pozzi

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Pozzi. A scholar is included among the top collaborators of Sarah Pozzi 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 Sarah Pozzi. Sarah Pozzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Radakovich, Nathan, Luca Malcovati, Manja Meggendorfer, et al.. (2020). Genotype-Phenotype Correlations in Patients with Myeloid Malignancies Using Explainable Artificial Intelligence. Blood. 136(Supplement 1). 31–32. 2 indexed citations
2.
Radakovich, Nathan, Manja Meggendorfer, Luca Malcovati, et al.. (2020). A Personalized Clinical-Decision Tool to Improve the Diagnostic Accuracy of Myelodysplastic Syndromes. Blood. 136(Supplement 1). 33–35. 2 indexed citations
3.
Morandi, Fabio, Sarah Pozzi, Sebastiano Barco, et al.. (2016). CD4+CD25hiCD127 Treg and CD4+CD45R0+CD49b+LAG3+ Tr1 cells in bone marrow and peripheral blood samples from children with neuroblastoma. OncoImmunology. 5(12). e1249553–e1249553. 17 indexed citations
4.
Grazia, Carmen Di, Sarah Pozzi, Simona Geroldi, et al.. (2016). Wilms Tumor 1 Expression and Pre-emptive Immunotherapy in Patients with Acute Myeloid Leukemia Undergoing an Allogeneic Hemopoietic Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 22(7). 1242–1246. 36 indexed citations
5.
Bacigalupo, Andrea, Alida Dominietto, Anna Ghiso, et al.. (2015). Unmanipulated haploidentical bone marrow transplantation and post-transplant cyclophosphamide for hematologic malignanices following a myeloablative conditioning: an update. Bone Marrow Transplantation. 50(S2). S37–S39. 114 indexed citations
6.
Stasia, Alessandra, Anna Ghiso, Federica Galaverna, et al.. (2014). CD34 Selected Cells for the Treatment of Poor Graft Function after Allogeneic Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 20(9). 1440–1443. 68 indexed citations
7.
Pozzi, Sarah, Simona Geroldi, Elisabetta Tedone, et al.. (2013). Leukaemia relapse after allogeneic transplants for acute myeloid leukaemia: predictive role of WT1 expression. British Journal of Haematology. 160(4). 503–509. 57 indexed citations
8.
Forni, Gian Luca, Marina Podestà, Marco Musso, et al.. (2012). Differential effects of the type of iron chelator on the absolute number of hematopoietic peripheral progenitors in patients with  -thalassemia major. Haematologica. 98(4). 555–559. 10 indexed citations
9.
Bacigalupo, Andrea, Mariella Sorarů, Alida Dominietto, et al.. (2009). Allogeneic hemopoietic SCT for patients with primary myelofibrosis: a predictive transplant score based on transfusion requirement, spleen size and donor type. Bone Marrow Transplantation. 45(3). 458–463. 99 indexed citations
10.
Corselli, Mirko, Alessia Parodi, Massimo Mogni, et al.. (2007). Clinical scale ex vivo expansion of cord blood–derived outgrowth endothelial progenitor cells is associated with high incidence of karyotype aberrations. Experimental Hematology. 36(3). 340–349. 40 indexed citations
11.
Balestrino, Maurizio, Francesco Frassoni, Sarah Pozzi, et al.. (2007). SEX DIFFERENCES IN HUMAN LYMPHOCYTE Na,K-ATPase AS STUDIED BY LABELED OUABAIN BINDING. International Journal of Neuroscience. 117(2). 275–285. 2 indexed citations
12.
Berger, Massimo, O Figari, Benedetto Bruno, et al.. (2007). Lymphocyte subsets recovery following allogeneic bone marrow transplantation (BMT): CD4+ cell count and transplant-related mortality. Bone Marrow Transplantation. 41(1). 55–62. 80 indexed citations
13.
Bacigalupo, Andrea, Alida Dominietto, Sarah Pozzi, et al.. (2007). Allogeneic Hemopoietic Stem Transplant for Patients with Idiopathic Myelofibrosis Using a Reduced Intensity Thiotepa Based Conditioning Regimen.. Blood. 110(11). 684–684. 2 indexed citations
14.
Ibatici, Adalberto, Anna Maria Raiola, Francesca Gualandi, et al.. (2007). 13: Direct Intra Bone Transplant of Unrelated Cord Blood Cells Is Associated with Fast and Complete Hematologic Recovery. Biology of Blood and Marrow Transplantation. 13(11). 1397–1397.
15.
Podestà, Marina, Andrea Pitto, Sarah Pozzi, et al.. (2006). Progenitor cells trapped in marrow filters can reduce GvHD and transplant mortality. Bone Marrow Transplantation. 38(2). 111–117. 10 indexed citations
16.
Ibatici, Adalberto, Anna Maria Raiola, Marina Podestà, et al.. (2006). Direct Intra-Bone Marrow Transplant of Cord Blood Cells: A Way To Overcome Delayed Engraftment.. Blood. 108(11). 3190–3190. 4 indexed citations
17.
Dominietto, Alida, Giovanna Piaggio, Sarah Pozzi, et al.. (2005). Treatment of Minimal Residual Disease (MRD) with Donor Lymphocyte Infusions (DLI) in Acute Leukemia Patients Undergoing an Allogeneic Hemopoietic Stem Cell Transplants (HSCT).. Blood. 106(11). 2012–2012. 2 indexed citations
18.
Bacigalupo, Andrea, Marina Podestà, Anna Pitto, et al.. (2004). The Suppressive Effect of Bone Marrow Mesenchymal Stem Cells on T Cell Activation, Is Deficient in Patients with Severe Aplastic Anemia.. Blood. 104(11). 506–506. 1 indexed citations
19.
Olivieri, Ignazio, Giovanni Ciancìo, Angela Padula, et al.. (2002). The HLA–B*2709 subtype confers susceptibility to spondylarthropathy. Arthritis & Rheumatism. 46(2). 553–554. 21 indexed citations
20.
Bacigalupo, Andrea, Teresa Lamparelli, M. Barbanti, et al.. (1999). Improved results in marrow transplantation from unrelated donors. Genoa BMT Group.. PubMed. 84 Suppl EHA-4. 50–2. 1 indexed citations

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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