Roberta Busà

941 total citations
9 papers, 718 citations indexed

About

Roberta Busà is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Roberta Busà has authored 9 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Cancer Research. Recurrent topics in Roberta Busà's work include RNA Research and Splicing (7 papers), RNA modifications and cancer (6 papers) and RNA and protein synthesis mechanisms (5 papers). Roberta Busà is often cited by papers focused on RNA Research and Splicing (7 papers), RNA modifications and cancer (6 papers) and RNA and protein synthesis mechanisms (5 papers). Roberta Busà collaborates with scholars based in Italy, Argentina and Spain. Roberta Busà's co-authors include Claudio Sette, Maria Paola Paronetto, Pamela Bielli, Raffaele Geremia, Simona Pedrotti, Flavia Botti, Daniela F. Angelini, Enrico Pierantozzi, Giuseppe Vespasiani and Donatella Farini and has published in prestigious journals such as Nucleic Acids Research, The Journal of Immunology and Cancer Research.

In The Last Decade

Roberta Busà

9 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberta Busà Italy 9 642 174 81 62 45 9 718
Chad A. Dumstorf United States 6 464 0.7× 101 0.6× 56 0.7× 69 1.1× 30 0.7× 7 512
Laia Simó‐Riudalbas Spain 11 635 1.0× 211 1.2× 60 0.7× 70 1.1× 36 0.8× 12 716
Senthilkumar Cinghu United States 12 706 1.1× 156 0.9× 52 0.6× 136 2.2× 31 0.7× 16 842
Chiara Naro Italy 14 670 1.0× 174 1.0× 50 0.6× 139 2.2× 68 1.5× 22 809
Sandra C. Frommel Switzerland 6 455 0.7× 152 0.9× 79 1.0× 143 2.3× 39 0.9× 6 548
Rahul Reddy United States 4 625 1.0× 459 2.6× 57 0.7× 122 2.0× 42 0.9× 4 773
Yi Su China 12 374 0.6× 100 0.6× 46 0.6× 72 1.2× 72 1.6× 20 514
Yanfang Yang China 8 413 0.6× 174 1.0× 66 0.8× 99 1.6× 42 0.9× 13 509
Stefanie Göllner Germany 12 741 1.2× 102 0.6× 63 0.8× 99 1.6× 48 1.1× 18 855
Shuet Theng Lee Singapore 5 576 0.9× 216 1.2× 78 1.0× 173 2.8× 67 1.5× 5 715

Countries citing papers authored by Roberta Busà

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Busà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberta Busà

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

All Works

9 of 9 papers shown
1.
Bielli, Pamela, Roberta Busà, Savino M. Di Stasi, et al.. (2014). The transcription factor FBI ‐1 inhibits SAM 68‐mediated BCLX alternative splicing and apoptosis. EMBO Reports. 15(4). 419–427. 52 indexed citations
2.
Pedrotti, Simona, Roberta Busà, Claudia Compagnucci, & Claudio Sette. (2011). The RNA recognition motif protein RBM11 is a novel tissue-specific splicing regulator. Nucleic Acids Research. 40(3). 1021–1032. 39 indexed citations
3.
Bielli, Pamela, Roberta Busà, Maria Paola Paronetto, & Claudio Sette. (2011). The RNA-binding protein Sam68 is a multifunctional player in human cancer. Endocrine Related Cancer. 18(4). R91–R102. 135 indexed citations
4.
Busà, Roberta & Claudio Sette. (2010). An emerging role for nuclear RNA-mediated responses to genotoxic stress. RNA Biology. 7(4). 390–396. 13 indexed citations
5.
Galli, Roberta, Donatella Starace, Roberta Busà, et al.. (2010). TLR Stimulation of Prostate Tumor Cells Induces Chemokine-Mediated Recruitment of Specific Immune Cell Types. The Journal of Immunology. 184(12). 6658–6669. 59 indexed citations
6.
Busà, Roberta, Raffaele Geremia, & Claudio Sette. (2010). Genotoxic stress causes the accumulation of the splicing regulator Sam68 in nuclear foci of transcriptionally active chromatin. Nucleic Acids Research. 38(9). 3005–3018. 50 indexed citations
7.
Paronetto, Maria Paola, Roberta Busà, Simona Pedrotti, et al.. (2009). Alternative Splicing of the Cyclin D1 Proto-Oncogene Is Regulated by the RNA-Binding Protein Sam68. Cancer Research. 70(1). 229–239. 129 indexed citations
8.
Bianchini, Andrea, Maria Loiarro, Pamela Bielli, et al.. (2008). Phosphorylation of eIF4E by MNKs supports protein synthesis, cell cycle progression and proliferation in prostate cancer cells. Carcinogenesis. 29(12). 2279–2288. 99 indexed citations
9.
Busà, Roberta, Maria Paola Paronetto, Donatella Farini, et al.. (2007). The RNA-binding protein Sam68 contributes to proliferation and survival of human prostate cancer cells. Oncogene. 26(30). 4372–4382. 142 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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