Daniela Bossi

1.6k total citations
18 papers, 658 citations indexed

About

Daniela Bossi is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Daniela Bossi has authored 18 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Hematology and 3 papers in Oncology. Recurrent topics in Daniela Bossi's work include Acute Myeloid Leukemia Research (6 papers), Protein Degradation and Inhibitors (5 papers) and Epigenetics and DNA Methylation (4 papers). Daniela Bossi is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Protein Degradation and Inhibitors (5 papers) and Epigenetics and DNA Methylation (4 papers). Daniela Bossi collaborates with scholars based in Italy, Switzerland and United Kingdom. Daniela Bossi's co-authors include Pier Giuseppe Pelicci, Saverio Minucci, Simona Ronzoni, Ivan Muradore, Andrea Viale, Alberto Gobbi, Francesca Franco, Silvia Monestiroli, Chiara Ronchini and Valeria Cambiaghi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Daniela Bossi

16 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Bossi Italy 12 484 182 172 101 48 18 658
Patrycja Pawlikowska France 15 391 0.8× 177 1.0× 134 0.8× 137 1.4× 61 1.3× 24 682
Barbara Szymanska Australia 6 306 0.6× 140 0.8× 125 0.7× 77 0.8× 75 1.6× 7 499
Maddalena Paganin Italy 13 321 0.7× 121 0.7× 333 1.9× 114 1.1× 66 1.4× 18 762
John M. Krill-Burger United States 11 504 1.0× 88 0.5× 75 0.4× 118 1.2× 47 1.0× 14 679
Christopher F. Bassil United States 7 602 1.2× 121 0.7× 196 1.1× 109 1.1× 50 1.0× 11 754
Yuanying Gong China 10 343 0.7× 85 0.5× 99 0.6× 70 0.7× 50 1.0× 16 520
Takaaki Ono Japan 14 312 0.6× 215 1.2× 328 1.9× 42 0.4× 58 1.2× 64 691
Daniel Antunes Moreno Brazil 11 293 0.6× 87 0.5× 58 0.3× 73 0.7× 33 0.7× 34 461
Marisa Pautasso Italy 12 264 0.5× 98 0.5× 262 1.5× 83 0.8× 62 1.3× 35 584
Susana Lisboa Portugal 12 241 0.5× 93 0.5× 97 0.6× 90 0.9× 48 1.0× 25 433

Countries citing papers authored by Daniela Bossi

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Bossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Bossi

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

All Works

18 of 18 papers shown
1.
Bossi, Daniela, Tesa Severson, Joseph C. Siefert, et al.. (2025). TRIM24 as a therapeutic target in endocrine treatment–resistant breast cancer. Proceedings of the National Academy of Sciences. 122(33). e2507571122–e2507571122.
2.
Sgrignani, Jacopo, Marco Coazzoli, Daniela Bossi, et al.. (2025). Targeting FOXA1 and FOXA2 disrupts the lineage-specific oncogenic output program in prostate cancer. Cell Reports. 44(10). 116324–116324.
3.
Palluzzi, Fernando, Paola Nicoli, Marina Melixetian, et al.. (2023). Actionable Genetic Screens Unveil Targeting of AURKA, MEK, and Fatty Acid Metabolism as an Alternative Therapeutic Approach for Advanced Melanoma. Journal of Investigative Dermatology. 143(10). 1993–2006.e10. 1 indexed citations
4.
Granieri, Letizia, Marina Melixetian, Paola Nicoli, et al.. (2022). Targeting the USP7/RRM2 axis drives senescence and sensitizes melanoma cells to HDAC/LSD1 inhibitors. Cell Reports. 40(12). 111396–111396. 28 indexed citations
5.
Melixetian, Marina, Daniela Bossi, Marija Mihailovich, et al.. (2021). Long non‐coding RNA TINCR suppresses metastatic melanoma dissemination by preventing ATF4 translation. EMBO Reports. 22(3). e50852–e50852. 22 indexed citations
6.
Punzi, Simona, Chiara Balestrieri, Daniela Bossi, et al.. (2019). WDR5 inhibition halts metastasis dissemination by repressing the mesenchymal phenotype of breast cancer cells. Breast Cancer Research. 21(1). 123–123. 26 indexed citations
7.
Nobile, Marco S., Simone Spolaor, Daniela Bossi, et al.. (2019). Modeling cell proliferation in human acute myeloid leukemia xenografts. Bioinformatics. 35(18). 3378–3386. 6 indexed citations
8.
Elgendy, Mohamed, Amal Kamal Abdel‐Aziz, Salvatore Lorenzo Renne, et al.. (2016). Dual modulation of MCL-1 and mTOR determines the response to sunitinib. Journal of Clinical Investigation. 127(1). 153–168. 50 indexed citations
9.
Punzi, Simona, Angelo Cicalese, Lorenzo Fornasari, et al.. (2016). RNAi screens identify CHD4 as an essential gene in breast cancer growth. Oncotarget. 7(49). 80901–80915. 34 indexed citations
10.
Bossi, Daniela, Francesca Carlomagno, Isabella Pallavicini, et al.. (2013). Functional characterization of a novel FGFR1OP‐RET rearrangement in hematopoietic malignancies. Molecular Oncology. 8(2). 221–231. 21 indexed citations
11.
Santoro, Fabio, Isabella Pallavicini, Alicja Gruszka, et al.. (2011). The self-association coiled-coil domain of PML is sufficient for the oncogenic conversion of the retinoic acid receptor (RAR) alpha. Leukemia. 25(5). 814–820. 29 indexed citations
12.
Toffola, Elena Dalla, et al.. (2010). Arm disability in patients on hemodialysis. Dialysis & Transplantation. 39(3). 100–108. 4 indexed citations
13.
Viale, Andrea, Francesca Franco, Annette Orleth, et al.. (2008). Cell-cycle restriction limits DNA damage and maintains self-renewal of leukaemia stem cells. Nature. 457(7225). 51–56. 240 indexed citations
14.
Marinelli, Alessandra, Daniela Bossi, Pier Giuseppe Pelicci, & Saverio Minucci. (2007). A redundant oncogenic potential of the retinoic receptor (RAR) α, β and γ isoforms in acute promyelocytic leukemia. Leukemia. 21(4). 647–650. 17 indexed citations
15.
Villa, Raffaella, Lluís Morey, Veronica A. Raker, et al.. (2006). The methyl-CpG binding protein MBD1 is required for PML-RARα function. Proceedings of the National Academy of Sciences. 103(5). 1400–1405. 79 indexed citations
16.
Toffola, Elena Dalla, et al.. (2005). Usefulness of BFB/EMG in facial palsy rehabilitation. Disability and Rehabilitation. 27(14). 809–815. 46 indexed citations
17.
Kindle, Karin B., Philip J.F. Troke, Hilary M. Collins, et al.. (2005). MOZ-TIF2 Inhibits Transcription by Nuclear Receptors and p53 by Impairment of CBP Function. Molecular and Cellular Biology. 25(3). 988–1002. 47 indexed citations
18.
Capodaglio, E, et al.. (2003). A functional assessment methodology for alcohol dependent patients undergoing rehabilitative treatments. Disability and Rehabilitation. 25(21). 1224–1230. 8 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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