P Pagliaro

634 total citations
12 papers, 506 citations indexed

About

P Pagliaro is a scholar working on Hematology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, P Pagliaro has authored 12 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 5 papers in Molecular Biology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in P Pagliaro's work include Acute Lymphoblastic Leukemia research (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Chronic Myeloid Leukemia Treatments (3 papers). P Pagliaro is often cited by papers focused on Acute Lymphoblastic Leukemia research (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Chronic Myeloid Leukemia Treatments (3 papers). P Pagliaro collaborates with scholars based in Italy, United States and Germany. P Pagliaro's co-authors include Pier Luigi Tazzari, Francesca Ricci, James A. McCubrey, Alberto M. Martelli, Giovanna Tabellini, Francesca Chiarini, Fraia Melchionda, Andrea Pession, Paolo Rebulla and Luca M. Neri and has published in prestigious journals such as Diabetologia, Leukemia and Vox Sanguinis.

In The Last Decade

P Pagliaro

12 papers receiving 495 citations

Peers

P Pagliaro

HEMAT

PHEOH

GENET

ONCOL

Yasukazu Kawai Japan

José González Spain

Isabelle Luquet France

Juan Eduardo Megías‐Vericat Spain

Ming Hou China

Delphine Oguey Switzerland

Hyewon Lee South Korea

Milind Ronghe United Kingdom

Amer M. Zeidan United States

Samah Nassereddine United States

Yasukazu Kawai Japan

P Pagliaro

253 ×0.9

194 ×1.3

HEMAT

77 ×0.6

PHEOH

59 ×0.7

GENET

78 ×1.0

ONCOL

Citations per year, relative to P Pagliaro P Pagliaro (= 1×) peers Yasukazu Kawai

Countries citing papers authored by P Pagliaro

Since Specialization

Citations

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

Fields of papers citing papers by P Pagliaro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P Pagliaro

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

All Works

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12 of 12 papers shown

Accomasso, Lisa, Emanuela Vitale, Clara Gallina, et al.. (2018). Silica nanoparticles actively engage with mesenchymal stem cells in improving cardiac pro-regenerative functional effects. Vascular Pharmacology. 103-105. 66–66. 1 indexed citations

Russo, Isabella, Saveria Femminò, Cristina Barale, et al.. (2016). Platelets poorly controlled type 2 diabetes subjects show an impaired ability to protect against the cardiac ischaemia/reperfusion injury. Diabetologia. 59. 12–13. 1 indexed citations

Lonetti, Annalisa, Francesca Chiarini, Ester Orsini, et al.. (2013). Activity of the pan-class I phosphoinositide 3-kinase inhibitor NVP-BKM120 in T-cell acute lymphoblastic leukemia. Leukemia. 28(6). 1196–1206. 55 indexed citations

Neri, Luca M., Alice Cani, Alberto M. Martelli, et al.. (2013). Targeting the PI3K/Akt/mTOR signaling pathway in B-precursor acute lymphoblastic leukemia and its therapeutic potential. Leukemia. 28(4). 739–748. 104 indexed citations

Belardinelli, A., Monica Benni, Pier Luigi Tazzari, & P Pagliaro. (2013). Noninvasive methods for haemoglobin screening in prospective blood donors. Vox Sanguinis. 105(2). 116–120. 39 indexed citations

Simioni, Carolina, Luca M. Neri, Giovanna Tabellini, et al.. (2012). Cytotoxic activity of the novel Akt inhibitor, MK-2206, in T-cell acute lymphoblastic leukemia. Leukemia. 26(11). 2336–2342. 72 indexed citations

Evangelisti, Camilla, Francesca Ricci, Pier Luigi Tazzari, et al.. (2011). Targeted inhibition of mTORC1 and mTORC2 by active-site mTOR inhibitors has cytotoxic effects in T-cell acute lymphoblastic leukemia. Leukemia. 25(5). 781–791. 82 indexed citations

Grimaldi, Cecilia, Francesca Chiarini, Giovanna Tabellini, et al.. (2011). AMP-dependent kinase/mammalian target of rapamycin complex 1 signaling in T-cell acute lymphoblastic leukemia: therapeutic implications. Leukemia. 26(1). 91–100. 83 indexed citations

Martelli, Alberto M., Verónica Papa, Pier Luigi Tazzari, et al.. (2010). Erucylphosphohomocholine, the first intravenously applicable alkylphosphocholine, is cytotoxic to acute myelogenous leukemia cells through JNK- and PP2A-dependent mechanisms. Leukemia. 24(4). 687–698. 26 indexed citations

10.

Pagliaro, P & Paolo Rebulla. (2006). Transfusion recipient identification. Vox Sanguinis. 91(2). 97–101. 36 indexed citations

11.

Borzini, P., et al.. (1997). CD36 Autoantibodies and Thrombotic Diathesis, Thrombocytopenia and Repeated Early Fetal Losses. Vox Sanguinis. 73(1). 46–48. 6 indexed citations

12.

Pagliaro, P, et al.. (1997). A national policentric study for the definition of a reference range for normal values of peripheral blood lymphocyte subsets in healthy adults.. PubMed. 41 Suppl 2. 205–6. 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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