Niccolò Bartalucci

1.7k total citations
36 papers, 882 citations indexed

About

Niccolò Bartalucci is a scholar working on Genetics, Hematology and Molecular Biology. According to data from OpenAlex, Niccolò Bartalucci has authored 36 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Genetics, 22 papers in Hematology and 17 papers in Molecular Biology. Recurrent topics in Niccolò Bartalucci's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (29 papers), Acute Myeloid Leukemia Research (12 papers) and Eosinophilic Disorders and Syndromes (11 papers). Niccolò Bartalucci is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (29 papers), Acute Myeloid Leukemia Research (12 papers) and Eosinophilic Disorders and Syndromes (11 papers). Niccolò Bartalucci collaborates with scholars based in Italy, United States and France. Niccolò Bartalucci's co-authors include Alessandro M. Vannucchi, Paola Guglielmelli, Costanza Bogani, Serena Martinelli, Lorenzo Tozzi, Alberto Bosi, Giada Rotunno, Francesco Mannelli, Ayalew Tefferi and Jean‐Luc Villeval and has published in prestigious journals such as Blood, Bioinformatics and PLoS ONE.

In The Last Decade

Niccolò Bartalucci

36 papers receiving 879 citations

Peers

Niccolò Bartalucci

GENET

HEMAT

RHEUM

ONCOL

Alvaro Blanch Spain

Serena De Vita United States

W. George Lanyon United Kingdom

Yasumi Nakayama United States

S. Ridge United Kingdom

Martin Hilgarth Austria

Ingrid Brænne Germany

Lodish Hf United States

Yinyan Xu China

Michiko Ichii Japan

Alvaro Blanch Spain

Niccolò Bartalucci

767 ×1.2

GENET

240 ×0.5

HEMAT

238 ×0.5

286 ×1.2

RHEUM

137 ×2.3

ONCOL

Citations per year, relative to Niccolò Bartalucci Niccolò Bartalucci (= 1×) peers Alvaro Blanch

Countries citing papers authored by Niccolò Bartalucci

Since Specialization

Citations

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

Fields of papers citing papers by Niccolò Bartalucci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niccolò Bartalucci

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

All Works

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20 of 20 papers shown

Capitanio, Daniele, Vittorio Abbonante, Daniele Cattaneo, et al.. (2024). Proteomic screening identifies PF4/Cxcl4 as a critical driver of myelofibrosis. Leukemia. 38(9). 1971–1984. 5 indexed citations

Bartalucci, Niccolò, et al.. (2023). Resolving complex structural variants via nanopore sequencing. Frontiers in Genetics. 14. 1213917–1213917. 13 indexed citations

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

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

Gerds, Aaron T., Niccolò Bartalucci, Albert Assad, & Abdulraheem Yacoub. (2022). Targeting the PI3K pathway in myeloproliferative neoplasms. Expert Review of Anticancer Therapy. 22(8). 835–843. 8 indexed citations

Calabresi, Laura, Manjola Balliu, & Niccolò Bartalucci. (2022). Immunoblotting-assisted assessment of JAK/STAT and PI3K/Akt/mTOR signaling in myeloproliferative neoplasms CD34+ stem cells. Methods in cell biology. 171. 81–109. 2 indexed citations

Logu, Francesco De, Matilde Marini, Lorenzo Landini, et al.. (2021). Peripheral Nerve Resident Macrophages and Schwann Cells Mediate Cancer-Induced Pain. Cancer Research. 81(12). 3387–3401. 57 indexed citations

Balliu, Manjola, Laura Calabresi, Niccolò Bartalucci, et al.. (2021). Activated IL-6 signaling contributes to the pathogenesis of, and is a novel therapeutic target for, CALR-mutated MPNs. Blood Advances. 5(8). 2184–2195. 12 indexed citations

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

10.

Bartalucci, Niccolò, Francesco Mannelli, Elisa Contini, et al.. (2019). THIRD GENERATION SEQUENCING OF NORMAL KARYOTYPE ACUTE MYELOID LEUKEMIA: IMPLICATIONS FOR PROGNOSIS. Haematologica. 104. 12–12. 1 indexed citations

11.

Salati, Simona, Roberta Zini, Niccolò Bartalucci, et al.. (2019). Calreticulin Ins5 and Del52 mutations impair unfolded protein and oxidative stress responses in K562 cells expressing CALR mutants. Scientific Reports. 9(1). 10558–10558. 30 indexed citations

12.

Tefferi, Ayalew, Paola Guglielmelli, Maura Nicolosi, et al.. (2018). GIPSS: genetically inspired prognostic scoring system for primary myelofibrosis. Leukemia. 32(7). 1631–1642. 179 indexed citations

13.

Rossi, Chiara, Roberta Zini, Sebastiano Rontauroli, et al.. (2018). Role of TGF‐β1/miR‐382‐5p/SOD2 axis in the induction of oxidative stress in CD34+ cells from primary myelofibrosis. Molecular Oncology. 12(12). 2102–2123. 16 indexed citations

14.

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

15.

Salati, Simona, Zelia Prudente, Valentina Pennucci, et al.. (2017). Calreticulin Affects Hematopoietic Stem/Progenitor Cell Fate by Impacting Erythroid and Megakaryocytic Differentiation. Stem Cells and Development. 27(4). 225–236. 14 indexed citations

16.

Gruppi, Cristian, Monica Corada, Federica Pisati, et al.. (2017). Endothelial-to-Mesenchymal Transition in Bone Marrow and Spleen of Primary Myelofibrosis. American Journal Of Pathology. 187(8). 1879–1892. 19 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.

Bartalucci, Niccolò, Paola Guglielmelli, & Alessandro M. Vannucchi. (2013). Rationale for Targeting the PI3K/Akt/mTOR Pathway in Myeloproliferative Neoplasms. Clinical Lymphoma Myeloma & Leukemia. 13. S307–S309. 40 indexed citations

20.

Pieri, Lisa, Costanza Bogani, Paola Guglielmelli, et al.. (2009). The JAK2V617 mutation induces constitutive activation and agonist hypersensitivity in basophils from patients with polycythemia vera. Haematologica. 94(11). 1537–1545. 51 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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