Irene Pizzitola

1.8k total citations
17 papers, 1.2k citations indexed

About

Irene Pizzitola is a scholar working on Oncology, Immunology and Hematology. According to data from OpenAlex, Irene Pizzitola has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 11 papers in Immunology and 5 papers in Hematology. Recurrent topics in Irene Pizzitola's work include CAR-T cell therapy research (13 papers), Immune Cell Function and Interaction (10 papers) and Virus-based gene therapy research (4 papers). Irene Pizzitola is often cited by papers focused on CAR-T cell therapy research (13 papers), Immune Cell Function and Interaction (10 papers) and Virus-based gene therapy research (4 papers). Irene Pizzitola collaborates with scholars based in Italy, United Kingdom and France. Irene Pizzitola's co-authors include Andrea Biondi, Ettore Biagi, Sarah Tettamanti, Dominique Bonnet, Virna Marin, Kevin Rouault‐Pierre, Fernando Anjos‐Afonso, François Lassailly, Greta Maria Paola Giordano Attianese and Elisabetta Cribioli and has published in prestigious journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Irene Pizzitola

16 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Irene Pizzitola Italy 11 718 654 350 294 285 17 1.2k
Alison R. Sehgal United States 13 633 0.9× 227 0.3× 373 1.1× 136 0.5× 326 1.1× 52 1.1k
Elise McCormack United States 4 351 0.5× 137 0.2× 118 0.3× 104 0.4× 91 0.3× 8 565
Zhitao Ying China 14 502 0.7× 171 0.3× 171 0.5× 72 0.2× 41 0.1× 73 797
Vladan Vučinić Germany 18 333 0.5× 230 0.4× 177 0.5× 59 0.2× 518 1.8× 105 934
Michel Delforge Belgium 17 509 0.7× 113 0.2× 486 1.4× 61 0.2× 716 2.5× 111 1.0k
Qianshan Tao China 16 310 0.4× 362 0.6× 156 0.4× 41 0.1× 161 0.6× 58 641
Sydney X. Lu United States 17 363 0.5× 639 1.0× 323 0.9× 56 0.2× 558 2.0× 49 1.1k
Anna van Rhenen Netherlands 13 408 0.6× 300 0.5× 404 1.2× 63 0.2× 696 2.4× 39 1.2k
Zhengming Jin China 15 270 0.4× 127 0.2× 124 0.4× 63 0.2× 325 1.1× 98 660
Cyrus Sayehli Germany 14 499 0.7× 245 0.4× 218 0.6× 32 0.1× 62 0.2× 37 831

Countries citing papers authored by Irene Pizzitola

Since Specialization
Citations

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

Fields of papers citing papers by Irene Pizzitola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irene Pizzitola

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

All Works

17 of 17 papers shown
1.
Siddiqui, Imran, Irene Pizzitola, Beena Jeevan-Raj, et al.. (2019). γ-Catenin-Dependent Signals Maintain BCR-ABL1+ B Cell Acute Lymphoblastic Leukemia. Cancer Cell. 35(4). 649–663.e10. 23 indexed citations
2.
Mian, Syed A., Kevin Rouault‐Pierre, Alexander Smith, et al.. (2015). SF3B1 mutant MDS-initiating cells may arise from the haematopoietic stem cell compartment. Nature Communications. 6(1). 10004–10004. 64 indexed citations
3.
Pizzitola, Irene, Fernando Anjos‐Afonso, Kevin Rouault‐Pierre, et al.. (2014). Chimeric antigen receptors against CD33/CD123 antigens efficiently target primary acute myeloid leukemia cells in vivo. Leukemia. 28(8). 1596–1605. 225 indexed citations
4.
Griessinger, Emmanuel, Fernando Anjos‐Afonso, Irene Pizzitola, et al.. (2014). A Niche-Like Culture System Allowing the Maintenance of Primary Human Acute Myeloid Leukemia-Initiating Cells: A New Tool to Decipher Their Chemoresistance and Self-Renewal Mechanisms. Stem Cells Translational Medicine. 3(4). 520–529. 81 indexed citations
5.
Laurin, David, Virna Marin, Ettore Biagi, et al.. (2013). Upregulation of Adhesion Molecules on Leukemia Targets Improves the Efficacy of Cytotoxic T Cells Transduced With Chimeric Anti-CD19 Receptor. Journal of Immunotherapy. 36(3). 181–189. 9 indexed citations
6.
Tettamanti, Sarah, Virna Marin, Irene Pizzitola, et al.. (2013). Targeting of acute myeloid leukaemia by cytokine‐induced killer cells redirected with a novel CD123‐specific chimeric antigen receptor. British Journal of Haematology. 161(3). 389–401. 175 indexed citations
7.
8.
Marin, Virna, Elisabetta Cribioli, Brian Philip, et al.. (2012). Comparison of Different Suicide-Gene Strategies for the Safety Improvement of Genetically Manipulated T Cells. Human Gene Therapy Methods. 23(6). 376–386. 106 indexed citations
9.
Tettamanti, Sarah, Virna Marin, Irene Pizzitola, et al.. (2012). Targeting of Acute Myeloid Leukemia by Cytokine-Induced Killer Cells Redirected with a Novel CD123-Specific Chimeric Antigen Receptor.. Blood. 120(21). 3010–3010. 5 indexed citations
10.
Dutour, Aurélie, Virna Marin, Irene Pizzitola, et al.. (2012). In VitroandIn VivoAntitumor Effect of Anti-CD33 Chimeric Receptor-Expressing EBV-CTL againstCD33+Acute Myeloid Leukemia. Advances in Hematology. 2012. 1–10. 84 indexed citations
11.
Pizzitola, Irene, Valentina Agostoni, Elisabetta Cribioli, et al.. (2011). In Vitro Comparison of Three Different Chimeric Receptor-modified Effector T-cell Populations for Leukemia Cell Therapy. Journal of Immunotherapy. 34(6). 469–479. 15 indexed citations
12.
Biagi, Ettore, Virna Marin, Greta Maria Paola Giordano Attianese, et al.. (2011). New advances in leukaemia immunotherapy by the use of Chimeric Artificial Antigen Receptors (CARs): state of the art and perspectives for the near future. ˜The œItalian Journal of Pediatrics/Italian journal of pediatrics. 37(1). 46–46. 9 indexed citations
13.
Attianese, Greta Maria Paola Giordano, Virna Marin, Valentina Hoyos, et al.. (2011). In vitro and in vivo model of a novel immunotherapy approach for chronic lymphocytic leukemia by anti-CD23 chimeric antigen receptor. Blood. 117(18). 4736–4745. 67 indexed citations
14.
Marin, Virna, Irene Pizzitola, Valentina Agostoni, et al.. (2010). Cytokine-induced killer cells for cell therapy of acute myeloid leukemia: improvement of their immune activity by expression of CD33-specific chimeric receptors. Haematologica. 95(12). 2144–2152. 107 indexed citations
15.
Laurin, David, Virna Marin, Ettore Biagi, et al.. (2010). Exploration of the Lysis Mechanisms of Leukaemic Blasts by Chimaeric T-Cells. SHILAP Revista de lepidopterología. 2010. 1–9. 8 indexed citations
16.
Marin, Virna, Irene Pizzitola, Andrea Biondi, Ettore Biagi, & Martin Pulé. (2010). Comparison of Dfferent Suicide Gene Strategies for the Safety Improvement of Genetically Manipulated T Cells.. Blood. 116(21). 3753–3753. 1 indexed citations
17.
Norata, Giuseppe Danilo, Patrizia Marchesi, Vivek Krishna Pulakazhi Venu, et al.. (2009). Deficiency of the Long Pentraxin PTX3 Promotes Vascular Inflammation and Atherosclerosis. Circulation. 120(8). 699–708. 245 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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