Giada Rotunno

5.4k total citations
44 papers, 1.7k citations indexed

About

Giada Rotunno is a scholar working on Genetics, Hematology and Molecular Biology. According to data from OpenAlex, Giada Rotunno has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Genetics, 24 papers in Hematology and 15 papers in Molecular Biology. Recurrent topics in Giada Rotunno's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (35 papers), Acute Myeloid Leukemia Research (17 papers) and Eosinophilic Disorders and Syndromes (14 papers). Giada Rotunno is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (35 papers), Acute Myeloid Leukemia Research (17 papers) and Eosinophilic Disorders and Syndromes (14 papers). Giada Rotunno collaborates with scholars based in Italy, United States and Switzerland. Giada Rotunno's co-authors include Alessandro M. Vannucchi, Paola Guglielmelli, Alessandro Pancrazzi, Annalisa Pacilli, Carmela Mannarelli, Tiziana Fanelli, Lisa Pieri, Ayalew Tefferi, Terra L. Lasho and Rhett P. Ketterling and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and British Journal of Haematology.

In The Last Decade

Giada Rotunno

42 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giada Rotunno Italy 15 1.4k 1.2k 953 499 143 44 1.7k
Ashot S. Harutyunyan Austria 16 1.1k 0.8× 821 0.7× 979 1.0× 373 0.7× 73 0.5× 30 1.5k
Katerina Zoi Greece 16 1.3k 0.9× 1.4k 1.2× 1.5k 1.5× 439 0.9× 109 0.8× 34 2.2k
Lisa Pieri Italy 21 2.2k 1.5× 1.7k 1.5× 1.5k 1.6× 939 1.9× 78 0.5× 58 2.6k
Hui Hao-Shen Switzerland 17 1.3k 0.9× 1.2k 1.1× 974 1.0× 464 0.9× 147 1.0× 34 1.8k
Domenica Caramazza Italy 19 2.3k 1.6× 1.9k 1.6× 1.3k 1.4× 785 1.6× 83 0.6× 35 2.6k
Emnet A Wassie United States 15 1.3k 0.9× 1.1k 1.0× 842 0.9× 420 0.8× 51 0.4× 21 1.6k
Claire Hidalgo-Curtis United Kingdom 11 763 0.5× 989 0.9× 1.1k 1.2× 206 0.4× 69 0.5× 16 1.6k
Damla Olcaydu Austria 10 498 0.3× 481 0.4× 485 0.5× 184 0.4× 236 1.7× 15 955
Katherine Waghorn United Kingdom 10 500 0.3× 660 0.6× 730 0.8× 265 0.5× 72 0.5× 13 1.2k
Mary Ann Richie United States 7 490 0.3× 626 0.5× 434 0.5× 222 0.4× 127 0.9× 21 915

Countries citing papers authored by Giada Rotunno

Since Specialization
Citations

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

Fields of papers citing papers by Giada Rotunno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giada Rotunno

This figure shows the co-authorship network connecting the top 25 collaborators of Giada Rotunno. A scholar is included among the top collaborators of Giada Rotunno 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 Giada Rotunno. Giada Rotunno 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.
Guglielmelli, Paola, Natasha Szuber, Naseema Gangat, et al.. (2024). CALR mutation burden in essential thrombocythemia and disease outcome. Blood. 143(13). 1310–1314. 2 indexed citations
2.
Perri, Alessandro, Giada Rotunno, Alessandra De Matteis, et al.. (2024). Intranasal Analgesia in Preterm and Term Neonates. Pediatric Drugs. 27(2). 191–199.
3.
Loscocco, Giuseppe Gaetano, Giada Rotunno, Francesco Mannelli, et al.. (2023). The prognostic contribution of CBL, NRAS, KRAS, RUNX1, and TP53 mutations to mutation‐enhanced international prognostic score systems (MIPSS70/plus/plus v2.0) for primary myelofibrosis. American Journal of Hematology. 99(1). 68–78. 12 indexed citations
4.
Calabresi, Laura, Giada Rotunno, Sandra Parenti, et al.. (2023). Clonal dynamics and copy number variants by single‐cell analysis in leukemic evolution of myeloproliferative neoplasms. American Journal of Hematology. 98(10). 1520–1531. 4 indexed citations
5.
Guglielmelli, Paola, Giacomo Coltro, Francesco Mannelli, et al.. (2022). ASXL1 mutations are prognostically significant in PMF, but not MF following essential thrombocythemia or polycythemia vera. Blood Advances. 6(9). 2927–2931. 18 indexed citations
6.
Coltro, Giacomo, Francesco Mannelli, Giuseppe Gaetano Loscocco, et al.. (2022). Differential prognostic impact of cytopenic phenotype in prefibrotic vs overt primary myelofibrosis. Blood Cancer Journal. 12(8). 116–116. 11 indexed citations
7.
Loscocco, Giuseppe Gaetano, Elisabetta Antonioli, Ilaria Romano, et al.. (2021). Lenalidomide: A double‐edged sword for concomitant multiple myeloma and post‐essential thrombocythemia myelofibrosis. American Journal of Hematology. 96(6). 749–754. 2 indexed citations
8.
Loscocco, Giuseppe Gaetano, Francesco Mannelli, Lara Mannelli, et al.. (2020). A case of aleukemic mast cell leukemia with an underlying myeloproliferative neoplasm: Morphological and molecular characteristics of a highly aggressive disease. American Journal of Hematology. 95(12). 1622–1624.
9.
Guglielmelli, Paola, Alessandra Carobbio, Elisa Rumi, et al.. (2020). Validation of the IPSET score for thrombosis in patients with prefibrotic myelofibrosis. Blood Cancer Journal. 10(2). 21–21. 40 indexed citations
10.
Coltro, Giacomo, Giada Rotunno, Lara Mannelli, et al.. (2020). RAS/CBL mutations predict resistance to JAK inhibitors in myelofibrosis and are associated with poor prognostic features. Blood Advances. 4(15). 3677–3687. 52 indexed citations
11.
Tefferi, Ayalew, Paola Guglielmelli, Terra L. Lasho, et al.. (2020). Mutation‐enhanced international prognostic systems for essential thrombocythaemia and polycythaemia vera. British Journal of Haematology. 189(2). 291–302. 134 indexed citations
12.
Mannelli, Francesco, Francesca Gesullo, Giada Rotunno, et al.. (2019). Myelodysplasia as assessed by multiparameter flow cytometry refines prognostic stratification provided by genotypic risk in systemic mastocytosis. American Journal of Hematology. 94(8). 845–852. 4 indexed citations
13.
Pacilli, Annalisa, Giada Rotunno, Carmela Mannarelli, et al.. (2018). Mutation landscape in patients with myelofibrosis receiving ruxolitinib or hydroxyurea. Blood Cancer Journal. 8(12). 122–122. 24 indexed citations
14.
Guglielmelli, Paola, Annalisa Pacilli, Giada Rotunno, et al.. (2017). Presentation and outcome of patients with 2016 WHO diagnosis of prefibrotic and overt primary myelofibrosis. Blood. 129(24). 3227–3236. 111 indexed citations
15.
Guglielmelli, Paola, Giada Rotunno, Annalisa Pacilli, & Alessandro M. Vannucchi. (2015). What Do Molecular Tests Add to Prognostic Stratification in MF: Is It Time to Add These to Our Clinical Practice?. Current Hematologic Malignancy Reports. 10(4). 380–387. 1 indexed citations
16.
Tefferi, Ayalew, Paola Guglielmelli, Terra L. Lasho, et al.. (2014). CALR and ASXL1 mutations-based molecular prognostication in primary myelofibrosis: an international study of 570 patients. Leukemia. 28(7). 1494–1500. 199 indexed citations
17.
Rotunno, Giada, Niccolò Bartalucci, Valentina Carrai, et al.. (2014). Calreticulin mutation-specific immunostaining in myeloproliferative neoplasms: pathogenetic insight and diagnostic value. Leukemia. 28(9). 1811–1818. 65 indexed citations
18.
Bartalucci, Niccolò, Lorenzo Tozzi, Costanza Bogani, et al.. (2013). Co‐targeting the PI3K/ mTOR and JAK2 signalling pathways produces synergistic activity against myeloproliferative neoplasms. Journal of Cellular and Molecular Medicine. 17(11). 1385–1396. 77 indexed citations
19.
Tenedini, Elena, Isabella Bernardis, Valentina Artusi, et al.. (2013). Targeted cancer exome sequencing reveals recurrent mutations in myeloproliferative neoplasms. Leukemia. 28(5). 1052–1059. 58 indexed citations
20.
Mannelli, Francesco, Sara Bencini, Benedetta Peruzzi, et al.. (2012). A systematic analysis of bone marrow cells by flow cytometry defines a specific phenotypic profile beyond GPI deficiency in paroxysmal nocturnal hemoglobinuria. Cytometry Part B Clinical Cytometry. 84B(2). 71–81. 5 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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