Niccolò Bolli

24.3k total citations
87 papers, 2.4k citations indexed

About

Niccolò Bolli is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Niccolò Bolli has authored 87 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Hematology, 53 papers in Molecular Biology and 21 papers in Genetics. Recurrent topics in Niccolò Bolli's work include Multiple Myeloma Research and Treatments (46 papers), Protein Degradation and Inhibitors (24 papers) and Acute Myeloid Leukemia Research (23 papers). Niccolò Bolli is often cited by papers focused on Multiple Myeloma Research and Treatments (46 papers), Protein Degradation and Inhibitors (24 papers) and Acute Myeloid Leukemia Research (23 papers). Niccolò Bolli collaborates with scholars based in Italy, United States and United Kingdom. Niccolò Bolli's co-authors include Brunangelo Falini, Maria Paola Martelli, Arcangelo Liso, Ildo Nicoletti, Roberta Mannucci, Peter J. Campbell, Cristina Mecucci, Stefano Pileri, Elli Papaemmanuil and Enrico Tiacci and has published in prestigious journals such as Nature Communications, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Niccolò Bolli

83 papers receiving 2.4k citations

Peers

Niccolò Bolli
Peter Grauman United States
Wan‐Jen Hong United States
Elli Papaemmanuil United States
Valeria Visconte United States
Lukasz P. Gondek United States
Sylvie Freeman United Kingdom
Peter Grauman United States
Niccolò Bolli
Citations per year, relative to Niccolò Bolli Niccolò Bolli (= 1×) peers Peter Grauman

Countries citing papers authored by Niccolò Bolli

Since Specialization
Citations

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

Fields of papers citing papers by Niccolò Bolli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niccolò Bolli

This figure shows the co-authorship network connecting the top 25 collaborators of Niccolò Bolli. A scholar is included among the top collaborators of Niccolò Bolli 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 Bolli. Niccolò Bolli 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.
Curcio, Claudia, Silvia Brugiapaglia, Cecilia Roux, et al.. (2025). The absence of IL17A favours cytotoxic cell function and improves antigen‐specific immunotherapies in pancreatic adenocarcinoma. Clinical and Translational Medicine. 15(8). e70442–e70442.
2.
Manzotti, Gloria, Elisabetta Mereu, Federica Torricelli, et al.. (2024). Combinatorial strategies targeting NEAT1 and AURKA as new potential therapeutic options for multiple myeloma. Haematologica. 109(12). 4040–4055. 3 indexed citations
3.
Leblay, Noémie, Sungwoo Ahn, Holly Lee, et al.. (2024). Immune and Tumor Mediators of Resistance to Daratumumab-IMiDs Based Therapies in Relapsed Multiple Myeloma. Blood. 144(Supplement 1). 4642–4642.
4.
Ronchetti, Domenica, Ilaria Silvestris, G. Fabbiano, et al.. (2023). <i>DIS3</i> depletion in multiple myeloma causes extensive perturbation in cell cycle progression and centrosome amplification. Haematologica. 109(1). 231–244. 5 indexed citations
5.
Platonova, Natalia, Elisa Lazzari, M. Colombo, et al.. (2023). The Potential of JAG Ligands as Therapeutic Targets and Predictive Biomarkers in Multiple Myeloma. International Journal of Molecular Sciences. 24(19). 14558–14558. 1 indexed citations
6.
Cattaneo, Daniele, Cristina Bucelli, Alfredo Marchetti, et al.. (2023). Pathological and genomic features of myeloproliferative neoplasms associated with splanchnic vein thrombosis in a single-center cohort. Annals of Hematology. 102(6). 1409–1420. 9 indexed citations
7.
Liacos, Christine‐Ivy, Foteini Theodorakakou, Despina Fotiou, et al.. (2023). Mutations in the alternative complement pathway in multiple myeloma patients with carfilzomib-induced thrombotic microangiopathy. Blood Cancer Journal. 13(1). 31–31. 13 indexed citations
8.
Ronchetti, Domenica, Ilaria Silvestris, Katia Todoerti, et al.. (2022). Expression levels of NONO, a nuclear protein primarily involved in paraspeckles function, are associated with several deregulated molecular pathways and poor clinical outcome in multiple myeloma. Discover Oncology. 13(1). 124–124. 3 indexed citations
9.
Samur, Mehmet, Ricardo Sánchez, Santiago Barrio, et al.. (2021). Pathogenetic and Prognostic Implications of Increased Mitochondrial Content in Multiple Myeloma. Cancers. 13(13). 3189–3189. 5 indexed citations
10.
Bianchi, Giada, Peter G. Czarnecki, Matthew Ho, et al.. (2021). ROBO1 Promotes Homing, Dissemination, and Survival of Multiple Myeloma within the Bone Marrow Microenvironment. Blood Cancer Discovery. 2(4). 338–353. 12 indexed citations
11.
Maclachlan, Kylee, Even H Rustad, Andriy Derkach, et al.. (2021). Copy number signatures predict chromothripsis and clinical outcomes in newly diagnosed multiple myeloma. Nature Communications. 12(1). 5172–5172. 26 indexed citations
12.
D’Agostino, Mattia, Gian Maria Zaccaria, Bachisio Ziccheddu, et al.. (2020). Early Relapse Risk in Patients with Newly Diagnosed Multiple Myeloma Characterized by Next-generation Sequencing. Clinical Cancer Research. 26(18). 4832–4841. 38 indexed citations
13.
Ziccheddu, Bachisio, Giulia Biancon, Chiara De Philippis, et al.. (2020). Integrative analysis of the genomic and transcriptomic landscape of double-refractory multiple myeloma. Blood Advances. 4(5). 830–844. 49 indexed citations
14.
Yellapantula, Venkata D., Malin Hultcrantz, Even H. Rustad, et al.. (2020). Correction: Comprehensive detection of recurring genomic abnormalities: a targeted sequencing approach for multiple myeloma. Blood Cancer Journal. 10(1). 1 indexed citations
15.
Yellapantula, Venkata D., Malin Hultcrantz, Even H. Rustad, et al.. (2019). Comprehensive detection of recurring genomic abnormalities: a targeted sequencing approach for multiple myeloma. Blood Cancer Journal. 9(12). 101–101. 35 indexed citations
16.
Maura, Francesco, Andrea Degasperi, Ferran Nadeu, et al.. (2019). A practical guide for mutational signature analysis in hematological malignancies. Nature Communications. 10(1). 2969–2969. 99 indexed citations
17.
Bolli, Niccolò, Matteo Barcella, Erika Salvi, et al.. (2017). Next‐generation sequencing of a family with a high penetrance of monoclonal gammopathies for the identification of candidate risk alleles. Cancer. 123(19). 3701–3708. 15 indexed citations
18.
Farina, Lucia, et al.. (2017). A rare case of atypical chronic lymphocytic leukaemia presenting as nephrotic syndrome. BMJ Case Reports. 2017. bcr–2016. 1 indexed citations
19.
Falini, Brunangelo, Maria Paola Martelli, Niccolò Bolli, et al.. (2010). Acute myeloid leukemia with mutated nucleophosmin (NPM1): is it a distinct entity?. Blood. 117(4). 1109–1120. 171 indexed citations
20.
Bolli, Niccolò, Sara Galimberti, Maria Paola Martelli, et al.. (2006). Cytoplasmic nucleophosmin in myeloid sarcoma occurring 20 years after diagnosis of acute myeloid leukaemia. The Lancet Oncology. 7(4). 350–352. 19 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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