Federico Zambelli

5.0k total citations
44 papers, 1.7k citations indexed

About

Federico Zambelli is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Federico Zambelli has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Genetics. Recurrent topics in Federico Zambelli's work include RNA Research and Splicing (17 papers), Genomics and Chromatin Dynamics (15 papers) and RNA modifications and cancer (14 papers). Federico Zambelli is often cited by papers focused on RNA Research and Splicing (17 papers), Genomics and Chromatin Dynamics (15 papers) and RNA modifications and cancer (14 papers). Federico Zambelli collaborates with scholars based in Italy, Germany and Russia. Federico Zambelli's co-authors include Giulio Pavesi, Graziano Pesole, Roberto Mantovani, Diletta Dolfini, Ernesto Picardi, Anna Maria D’Erchia, Tiziana Castrignanò, Mattia D’Antonio, Matteo Chiara and Paolo D’Onorio De Meo and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Federico Zambelli

43 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico Zambelli Italy 22 1.4k 311 310 162 154 44 1.7k
Arnaud Stigliani France 7 1.1k 0.8× 205 0.7× 376 1.2× 88 0.5× 176 1.1× 13 1.4k
Joern Toedling Germany 19 1.7k 1.3× 507 1.6× 182 0.6× 144 0.9× 166 1.1× 31 2.0k
Shubhada R. Kulkarni Belgium 9 1.0k 0.8× 194 0.6× 331 1.1× 75 0.5× 186 1.2× 12 1.4k
Walter Santana-Garcia France 4 1.1k 0.8× 260 0.8× 176 0.6× 80 0.5× 195 1.3× 4 1.4k
Chaim Linhart Israel 19 1.1k 0.8× 252 0.8× 158 0.5× 215 1.3× 122 0.8× 27 1.8k
Giorgio Grillo Italy 17 1.1k 0.8× 197 0.6× 151 0.5× 104 0.6× 163 1.1× 40 1.5k
Manuel J. Muñoz Argentina 20 2.2k 1.6× 288 0.9× 165 0.5× 93 0.6× 123 0.8× 33 2.4k
Gwenaël Badis France 14 2.7k 2.0× 270 0.9× 247 0.8× 133 0.8× 291 1.9× 18 3.0k
Ann S. Zweig United States 12 1.8k 1.3× 399 1.3× 247 0.8× 126 0.8× 428 2.8× 16 2.3k
J. Seth Strattan United States 9 1.6k 1.2× 244 0.8× 188 0.6× 76 0.5× 244 1.6× 10 1.8k

Countries citing papers authored by Federico Zambelli

Since Specialization
Citations

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

Fields of papers citing papers by Federico Zambelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Zambelli

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Zambelli. A scholar is included among the top collaborators of Federico Zambelli 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 Federico Zambelli. Federico Zambelli 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.
Rovelli, Grazia, Francesca Gullo, Sergio Ottolenghi, et al.. (2025). SOX2 and NR2F1 coordinate the gene expression program of the early postnatal visual thalamus. Biology Open. 14(8).
2.
Clementel, Damiano, Konstantinos Kyritsis, Emidio Capriotti, et al.. (2024). DOME Registry: implementing community-wide recommendations for reporting supervised machine learning in biology. GigaScience. 13. 1 indexed citations
3.
Treiber, Nora, Thomas Treiber, G. Lehmann, et al.. (2024). Endo-bind-n-seq: identifying RNA motifs of RNA binding proteins isolated from endogenous sources. Life Science Alliance. 8(2). e202402782–e202402782. 1 indexed citations
4.
Chiariello, Andrea M., Andrea Esposito, Pietro Zoppoli, et al.. (2022). Hmga2 protein loss alters nuclear envelope and 3D chromatin structure. BMC Biology. 20(1). 171–171. 10 indexed citations
5.
Giudice, Claudio Lo, Federico Zambelli, Matteo Chiara, et al.. (2022). UTRdb 2.0: a comprehensive, expert curated catalog of eukaryotic mRNAs untranslated regions. Nucleic Acids Research. 51(D1). D337–D344. 14 indexed citations
6.
Zambelli, Federico, Matteo Chiara, Pietro Mandreoli, et al.. (2021). aScan: A Novel Method for the Study of Allele Specific Expression in Single Individuals. Journal of Molecular Biology. 433(11). 166829–166829. 2 indexed citations
7.
Chiara, Matteo, Pietro Mandreoli, M. A. Tangaro, et al.. (2020). VINYL: Variant prIoritizatioN bY survivaL analysis. Bioinformatics. 36(24). 5590–5599. 3 indexed citations
8.
Tangaro, M. A., Giacinto Donvito, Matteo Chiara, et al.. (2020). Laniakea: an open solution to provide Galaxy “on-demand” instances over heterogeneous cloud infrastructures. GigaScience. 9(4). 7 indexed citations
9.
Castrignanò, Tiziana, Silvia Gioiosa, Tiziano Flati, et al.. (2020). ELIXIR-IT HPC@CINECA: high performance computing resources for the bioinformatics community. BMC Bioinformatics. 21(S10). 352–352. 31 indexed citations
11.
Forestan, Cristian, Silvia Farinati, Federico Zambelli, et al.. (2019). Epigenetic signatures of stress adaptation and flowering regulation in response to extended drought and recovery in Zea mays. Plant Cell & Environment. 43(1). 55–75. 63 indexed citations
12.
Felice, Francesca, Michele Saliola, Fabio Sciubba, et al.. (2019). Histone acetylation landscape in S. cerevisiae nhp6ab mutants reflects altered glucose metabolism. Biochimica et Biophysica Acta (BBA) - General Subjects. 1864(1). 129454–129454. 3 indexed citations
13.
Chiara, Matteo, Silvia Gioiosa, Giovanni Chillemi, et al.. (2018). CoVaCS: a consensus variant calling system. BMC Genomics. 19(1). 120–120. 26 indexed citations
14.
Galardi, Silvia, Mauro Savino, Serena Pellegatta, et al.. (2016). Resetting cancer stem cell regulatory nodes upon MYC inhibition. EMBO Reports. 17(12). 1872–1889. 51 indexed citations
15.
Giulietti, Matteo, Francesco Piva, Mattia D’Antonio, et al.. (2012). SpliceAid-F: a database of human splicing factors and their RNA-binding sites. Nucleic Acids Research. 41(D1). D125–D131. 109 indexed citations
16.
Gatta, Raffaella, Diletta Dolfini, Federico Zambelli, et al.. (2011). An acetylation-monoubiquitination switch on Lysine 120 of H2B. Epigenetics. 6(5). 630–637. 18 indexed citations
17.
Mihailovich, Marija, Laurence Wurth, Federico Zambelli, et al.. (2011). Widespread generation of alternative UTRs contributes to sex-specific RNA binding by UNR. RNA. 18(1). 53–64. 18 indexed citations
18.
Zambelli, Federico, Giulio Pavesi, Carmela Gissi, David S. Horner, & Graziano Pesole. (2010). Assessment of orthologous splicing isoforms in human and mouse orthologous genes. BMC Genomics. 11(1). 534–534. 27 indexed citations
19.
Martelli, Pier Luigi, Mattia D’Antonio, Paola Bonizzoni, et al.. (2010). ASPicDB: a database of annotated transcript and protein variants generated by alternative splicing. Nucleic Acids Research. 39(Database). D80–D85. 37 indexed citations
20.
Pavesi, Giulio, Paolo Mereghetti, Federico Zambelli, et al.. (2006). MoD Tools: regulatory motif discovery in nucleotide sequences from co-regulated or homologous genes. Nucleic Acids Research. 34(Web Server). W566–W570. 62 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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