Elisabetta Calistri

841 total citations
14 papers, 308 citations indexed

About

Elisabetta Calistri is a scholar working on Hematology, Genetics and Rheumatology. According to data from OpenAlex, Elisabetta Calistri has authored 14 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hematology, 6 papers in Genetics and 5 papers in Rheumatology. Recurrent topics in Elisabetta Calistri's work include Chronic Myeloid Leukemia Treatments (8 papers), Acute Myeloid Leukemia Research (5 papers) and Eosinophilic Disorders and Syndromes (5 papers). Elisabetta Calistri is often cited by papers focused on Chronic Myeloid Leukemia Treatments (8 papers), Acute Myeloid Leukemia Research (5 papers) and Eosinophilic Disorders and Syndromes (5 papers). Elisabetta Calistri collaborates with scholars based in Italy and United States. Elisabetta Calistri's co-authors include Renato Fanin, Mario Tiribelli, Antonella Geromin, Angela Michelutti, Daniela Damiani, Carla Filì, Cristina Skert, Alessandra Sperotto, Francesca Patriarca and Francesco Zaja and has published in prestigious journals such as Blood, International Journal of Biological Macromolecules and Haematologica.

In The Last Decade

Elisabetta Calistri

14 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elisabetta Calistri Italy 7 205 111 83 66 65 14 308
Alessandra Cupri Italy 11 214 1.0× 76 0.7× 88 1.1× 67 1.0× 50 0.8× 27 313
Joycelyn Sim China 9 199 1.0× 57 0.5× 117 1.4× 100 1.5× 45 0.7× 19 292
Keiren Kirkland United Kingdom 11 297 1.4× 162 1.5× 105 1.3× 84 1.3× 86 1.3× 24 458
Keiko Kagami Japan 11 129 0.6× 80 0.7× 61 0.7× 130 2.0× 78 1.2× 37 379
Shinichiro Machida Japan 8 151 0.7× 74 0.7× 60 0.7× 34 0.5× 53 0.8× 39 258
Hiroyoshi Kunimoto Japan 9 205 1.0× 41 0.4× 93 1.1× 183 2.8× 55 0.8× 23 425
Amine Belhabri France 14 272 1.3× 95 0.9× 112 1.3× 147 2.2× 33 0.5× 40 458
Gaku Oshikawa Japan 10 169 0.8× 82 0.7× 79 1.0× 152 2.3× 26 0.4× 29 326
Vittorio Del Fabro Italy 9 134 0.7× 93 0.8× 74 0.9× 100 1.5× 25 0.4× 32 263
Erbao Ruan China 12 192 0.9× 93 0.8× 52 0.6× 95 1.4× 140 2.2× 41 357

Countries citing papers authored by Elisabetta Calistri

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Calistri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabetta Calistri

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

All Works

14 of 14 papers shown
1.
Calistri, Elisabetta, Manuela Zavatti, Sandra Marmiroli, et al.. (2024). Critical role of protein kinase CK2 in chronic myeloid leukemia cells harboring the T315I BCR::ABL1 mutation. International Journal of Biological Macromolecules. 286. 138305–138305. 1 indexed citations
2.
Calistri, Elisabetta, et al.. (2024). Spatial-transcriptomic profiling: a new lens for understanding myelofibrosis pathophysiology. Cell Communication and Signaling. 22(1). 510–510. 1 indexed citations
3.
Sperotto, Alessandra, Maria Teresa Bochicchio, Giorgia Simonetti, et al.. (2023). Measurable Residual Disease and Clonal Evolution in Acute Myeloid Leukemia from Diagnosis to Post-Transplant Follow-Up: The Role of Next-Generation Sequencing. Biomedicines. 11(2). 359–359. 1 indexed citations
4.
Toffoletti, Eleonora, Massimiliano Bonifacio, Gianni Binotto, et al.. (2020). BCR-ABL1 Levels at First Month after TKI Discontinuation Predict Subsequent Maintenance of Treatment-Free Remission: A Study from the "Gruppo Triveneto LMC". Blood. 136(Supplement 1). 9–10. 1 indexed citations
5.
Giraldo, Pilar, Francesca Palandri, Giuseppe A. Palumbo, et al.. (2015). SAFETY AND EFFICACY OF RUXOLITINIB (RUX) IN PATIENTS WITH INTERMEDIATE-1-RISK MYELOFIBROSIS (MF) FROM AN OPEN-LABEL, MULTICENTER, SINGLE-ARM EXPANDED-ACCESS STUDY. Haematologica. 100. 265–265. 5 indexed citations
6.
Bonifacio, Massimiliano, Luigi Scaffidi, Gianni Binotto, et al.. (2015). Predictive Factors of Stable Deep Molecular Response in Chronic Myeloid Leukemia Patients Treated with Imatinib Standard Dose: A Study from the Gruppo Triveneto LMC. Blood. 126(23). 597–597. 13 indexed citations
7.
Tiribelli, Mario, Massimiliano Bonifacio, Gianni Binotto, et al.. (2013). EUTOS Score Predicts Optimal Response To Imatinib According To The Revised ELN Recommendations Better Than Sokal Score: A Study From The “Gruppo Triveneto LMC”. Blood. 122(21). 4024–4024. 1 indexed citations
8.
Tiribelli, Mario, Massimiliano Bonifacio, Elisabetta Calistri, et al.. (2013). EUTOS score predicts long-term outcome but not optimal response to imatinib in patients with chronic myeloid leukaemia. Leukemia Research. 37(11). 1457–1460. 7 indexed citations
9.
Latagliata, Roberto, Massimo Breccia, Carmen Fava, et al.. (2012). Incidence, risk factors and management of pleural effusions during dasatinib treatment in unselected elderly patients with chronic myelogenous leukaemia. Hematological Oncology. 31(2). 103–109. 42 indexed citations
10.
Tiribelli, Mario, Massimiliano Bonifacio, Elisabetta Calistri, et al.. (2012). EUTOS Score Identifies Cases with Poor Outcome in Patients with Early Chronic Phase Chronic Myeloid Leukemia, Though Not Predictive for Optimal Response to Imatinib. Blood. 120(21). 3778–3778. 6 indexed citations
11.
Damiani, Daniela, Mario Tiribelli, Donatella Raspadori, et al.. (2007). The role of MDR‐related proteins in the prognosis of adult acute myeloid leukaemia (AML) with normal karyotype. Hematological Oncology. 25(1). 38–43. 25 indexed citations
12.
Calistri, Elisabetta, Mario Tiribelli, Marta Lisa Battista, et al.. (2006). Epstein‐Barr virus reactivation in a patient treated with anti‐thymocyte globulin for severe aplastic anemia. American Journal of Hematology. 81(5). 355–357. 14 indexed citations
13.
Patriarca, Francesca, Cristina Skert, Alessandra Sperotto, et al.. (2006). The development of autoantibodies after allogeneic stem cell transplantation is related with chronic graft-vs-host disease and immune recovery. Experimental Hematology. 34(3). 389–396. 99 indexed citations
14.
Damiani, Daniela, Mario Tiribelli, Elisabetta Calistri, et al.. (2006). The prognostic value of P-glycoprotein (ABCB) and breast cancer resistance protein (ABCG2) in adults with de novo acute myeloid leukemia with normal karyotype.. PubMed. 91(6). 825–8. 92 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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