Roberta Bosotti

2.9k total citations · 1 hit paper
28 papers, 1.4k citations indexed

About

Roberta Bosotti is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Roberta Bosotti has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Roberta Bosotti's work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (4 papers) and Computational Drug Discovery Methods (3 papers). Roberta Bosotti is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (4 papers) and Computational Drug Discovery Methods (3 papers). Roberta Bosotti collaborates with scholars based in Italy, France and United States. Roberta Bosotti's co-authors include Antonella Isacchi, Erik L. L. Sonnhammer, Diego di Bernardo, Emanuela Scacheri, Loredana Murino, Pratibha Mithbaokar, Rosa Ferriero, Roberto Tagliaferri, Vincenzo Belcastro and Nicola Brunetti‐Pierri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Roberta Bosotti

26 papers receiving 1.4k citations

Hit Papers

Discovery of drug mode of action and drug repositioning f... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberta Bosotti Italy 13 1.0k 420 263 157 141 28 1.4k
Anna Rodina United States 20 1.6k 1.6× 368 0.9× 194 0.7× 120 0.8× 146 1.0× 32 2.1k
Theresa Zhang United States 17 1.3k 1.3× 210 0.5× 507 1.9× 386 2.5× 130 0.9× 28 2.0k
Beth Apsel United States 7 1.1k 1.1× 90 0.2× 181 0.7× 113 0.7× 89 0.6× 7 1.5k
Imre Västrik Finland 16 1.7k 1.6× 203 0.5× 208 0.8× 202 1.3× 49 0.3× 26 2.0k
Yukimasa Shiotsu Japan 22 1.1k 1.1× 108 0.3× 305 1.2× 112 0.7× 73 0.5× 47 1.8k
Brian B. Haines United States 17 948 0.9× 196 0.5× 322 1.2× 188 1.2× 73 0.5× 39 1.4k
Igor Feldman United States 9 910 0.9× 248 0.6× 261 1.0× 110 0.7× 78 0.6× 24 1.2k
Marc O’Reilly United Kingdom 15 1.0k 1.0× 158 0.4× 219 0.8× 368 2.3× 82 0.6× 20 1.3k
Aurelio Pio Nardozza Italy 12 1.2k 1.1× 223 0.5× 188 0.7× 59 0.4× 37 0.3× 18 1.4k
Alexey V. Antonov United Kingdom 25 1.3k 1.3× 136 0.3× 384 1.5× 378 2.4× 109 0.8× 49 1.8k

Countries citing papers authored by Roberta Bosotti

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Bosotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberta Bosotti

This figure shows the co-authorship network connecting the top 25 collaborators of Roberta Bosotti. A scholar is included among the top collaborators of Roberta Bosotti 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 Bosotti. Roberta Bosotti 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.
Bertani, Ilaria, Elena Restelli, Alessandra Fasciani, et al.. (2025). Adducins regulate morphology and fate of neural progenitors during neocortical neurogenesis. Cell Reports. 44(9). 116276–116276.
2.
Gambardella, Gennaro, et al.. (2022). A single-cell analysis of breast cancer cell lines to study tumour heterogeneity and drug response. Nature Communications. 13(1). 1714–1714. 105 indexed citations
3.
Ferlita, Alessandro La, Salvatore Alaimo, Sebastiano Di Bella, et al.. (2021). RNAdetector: a free user-friendly stand-alone and cloud-based system for RNA-Seq data analysis. BMC Bioinformatics. 22(1). 298–298. 17 indexed citations
4.
Somaschini, Alessio, Sebastiano Di Bella, Laura Raddrizzani, et al.. (2020). Mining potentially actionable kinase gene fusions in cancer cell lines with the KuNG FU database. Scientific Data. 7(1). 420–420. 3 indexed citations
5.
Bella, Sebastiano Di, Alessandro La Ferlita, Salvatore Alaimo, et al.. (2019). A benchmarking of pipelines for detecting ncRNAs from RNA-Seq data. Briefings in Bioinformatics. 21(6). 1987–1998. 12 indexed citations
6.
Rizzo, Ettore, Laura Raddrizzani, Sebastiano Di Bella, et al.. (2019). Comprehensive kinome NGS targeted expression profiling by KING-REX. BMC Genomics. 20(1). 307–307. 1 indexed citations
7.
Melloni, Giorgio, Laura Raddrizzani, P. Rossi, et al.. (2018). PATRI, a Genomics Data Integration Tool for Biomarker Discovery. BioMed Research International. 2018. 1–13. 3 indexed citations
8.
Magnaghi, Paola, Barbara Salom, Liviana Cozzi, et al.. (2017). Afatinib Is a New Therapeutic Approach in Chordoma with a Unique Ability to Target EGFR and Brachyury. Molecular Cancer Therapeutics. 17(3). 603–613. 59 indexed citations
9.
Bosotti, Roberta, Paola Magnaghi, Sebastiano Di Bella, et al.. (2017). Establishment and genomic characterization of the new chordoma cell line Chor-IN-1. Scientific Reports. 7(1). 9226–9226. 12 indexed citations
10.
Nuzzo, Angelo, et al.. (2016). KAOS: a new automated computational method for the identification of overexpressed genes. BMC Bioinformatics. 17(S12). 340–340.
11.
Somaschini, Alessio, Nadia Amboldi, Angelo Nuzzo, et al.. (2013). Cell Line Identity Finding by Fingerprinting, an Optimized Resource for Short Tandem Repeat Profile Authentication. Genetic Testing and Molecular Biomarkers. 17(3). 254–259. 9 indexed citations
12.
Balabanov, Stefan, Artur Gontarewicz, Gunhild Keller, et al.. (2011). Abcg2 Overexpression Represents a Novel Mechanism for Acquired Resistance to the Multi-Kinase Inhibitor Danusertib in BCR-ABL-Positive Cells In Vitro. PLoS ONE. 6(4). e19164–e19164. 33 indexed citations
13.
Bosotti, Roberta, Patrizia Carpinelli, Sandra Healy, et al.. (2011). Transcriptional analysis of the Aurora inhibitor Danusertib leading to biomarker identification in TP53 wild type cells. Gene. 494(2). 202–208. 5 indexed citations
14.
Locatelli, Giuseppe, Roberta Bosotti, Marina Ciomei, et al.. (2010). Transcriptional Analysis of an E2F Gene Signature as a Biomarker of Activity of the Cyclin-Dependent Kinase Inhibitor PHA-793887 in Tumor and Skin Biopsies from a Phase I Clinical Study. Molecular Cancer Therapeutics. 9(5). 1265–1273. 11 indexed citations
15.
Magni, Paolo, Antonio Simeone, Sandra Healy, Antonella Isacchi, & Roberta Bosotti. (2010). Summarizing Probe Intensities of Affymetrix GeneChip 3' Expression Arrays Taking into Account Day-to-Day Variability. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(5). 1425–1430. 1 indexed citations
16.
Bosotti, Roberta, Giuseppe Locatelli, Sandra Healy, et al.. (2007). Cross platform microarray analysis for robust identification of differentially expressed genes. BMC Bioinformatics. 8(S1). S5–S5. 47 indexed citations
17.
Vulpetti, Anna & Roberta Bosotti. (2004). Sequence and structural analysis of kinase ATP pocket residues. Il Farmaco. 59(10). 759–765. 78 indexed citations
18.
Delneste, Yves, et al.. (2000). Detection of a polymorphism in exon 8 of the human CD86 gene. Immunogenetics. 51(8-9). 762–763. 19 indexed citations
19.
Bosotti, Roberta, Antonella Isacchi, & Erik L. L. Sonnhammer. (2000). FAT: a novel domain in PIK-related kinases. Trends in Biochemical Sciences. 25(5). 225–227. 240 indexed citations
20.
Magistrelli, Giovanni, Roberta Bosotti, Barbara Valsasina, et al.. (1999). Role of the Src homology 2 domains and interdomain regions in ZAP‐70 phosphorylation and enzymatic activity. European Journal of Biochemistry. 266(3). 1166–1173. 7 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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