Daniele Santoni

1.1k total citations
54 papers, 756 citations indexed

About

Daniele Santoni is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Daniele Santoni has authored 54 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 7 papers in Genetics. Recurrent topics in Daniele Santoni's work include RNA and protein synthesis mechanisms (12 papers), Bioinformatics and Genomic Networks (12 papers) and Genomics and Chromatin Dynamics (9 papers). Daniele Santoni is often cited by papers focused on RNA and protein synthesis mechanisms (12 papers), Bioinformatics and Genomic Networks (12 papers) and Genomics and Chromatin Dynamics (9 papers). Daniele Santoni collaborates with scholars based in Italy, India and Russia. Daniele Santoni's co-authors include Paola Paci, Luisa Di Paola, Alessandro Giuliani, Micol De Ruvo, Filippo Castiglione, Davide Vergni, Marco Pedicini, V. Romano-Spica, Andrea Paparini and Giovanni Felici and has published in prestigious journals such as Chemical Reviews, Bioinformatics and PLoS ONE.

In The Last Decade

Daniele Santoni

49 papers receiving 737 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniele Santoni Italy 13 542 154 74 55 55 54 756
Gorka Lasso United States 14 564 1.0× 33 0.2× 91 1.2× 122 2.2× 147 2.7× 22 876
Joshua F. Apgar United States 11 257 0.5× 71 0.5× 36 0.5× 33 0.6× 68 1.2× 31 598
Chunhua Li China 17 808 1.5× 137 0.9× 42 0.6× 54 1.0× 50 0.9× 116 1.1k
Hammad Naveed United States 15 499 0.9× 94 0.6× 61 0.8× 49 0.9× 87 1.6× 51 687
Ian M. Overton United Kingdom 14 733 1.4× 40 0.3× 148 2.0× 29 0.5× 51 0.9× 35 984
Marek Kochańczyk Poland 16 357 0.7× 41 0.3× 38 0.5× 169 3.1× 37 0.7× 33 716
Richard A. George United Kingdom 13 725 1.3× 76 0.5× 95 1.3× 20 0.4× 43 0.8× 17 875
Ashwini Patil Japan 20 1.2k 2.2× 157 1.0× 70 0.9× 30 0.5× 109 2.0× 52 1.5k
Cath Brooksbank United Kingdom 18 730 1.3× 51 0.3× 75 1.0× 23 0.4× 50 0.9× 61 953
Lori W. Schoenfeld United States 9 1.1k 2.0× 96 0.6× 42 0.6× 30 0.5× 81 1.5× 10 1.4k

Countries citing papers authored by Daniele Santoni

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Santoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Santoni

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Santoni. A scholar is included among the top collaborators of Daniele Santoni 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 Daniele Santoni. Daniele Santoni 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.
Arbib, Claudio, et al.. (2024). An Integer Linear Programming Model to Optimize Coding DNA Sequences By Joint Control of Transcript Indicators. Journal of Computational Biology. 31(5). 416–428.
2.
Illi, Barbara, Chiara Cencioni, Daniele Santoni, et al.. (2024). HDAC6 inhibition disrupts HDAC6-P300 interaction reshaping the cancer chromatin landscape. Clinical Epigenetics. 16(1). 7 indexed citations
3.
Ghosh, Nimisha, Daniele Santoni, Indrajit Saha, & Giovanni Felici. (2024). Predicting Transcription Factor Binding Sites with Deep Learning. International Journal of Molecular Sciences. 25(9). 4990–4990. 8 indexed citations
4.
Santoni, Daniele, et al.. (2023). TRANSPARENT: a Python tool for designing transcription factor regulatory networks. Soft Computing. 27(10). 6261–6266. 3 indexed citations
5.
Santoni, Daniele, et al.. (2023). Transcription Factor Driven Gene Regulation in COVID-19 Patients. Viruses. 15(5). 1188–1188. 1 indexed citations
6.
Franciosa, Paolo Giulio, et al.. (2022). A novel method for assessing and measuring homophily in networks through second-order statistics. Scientific Reports. 12(1). 9757–9757. 6 indexed citations
7.
Santoni, Daniele. (2021). The impact of codon choice on translation process in Saccharomyces cerevisiae: folding class, protein function and secondary structure. Journal of Theoretical Biology. 526. 110806–110806. 4 indexed citations
8.
Santoni, Daniele & Davide Vergni. (2020). In the search of potential epitopes for Wuhan seafood market pneumonia virus using high order nullomers. Journal of Immunological Methods. 481-482. 112787–112787. 12 indexed citations
9.
Valeriani, Federica, Tommaso Biagini, Saverio Giampaoli, et al.. (2016). Draft Genome Sequence of Tepidimonas taiwanensis Strain VT154-175. Genome Announcements. 4(5). 6 indexed citations
10.
Vergni, Davide & Daniele Santoni. (2016). Nullomers and High Order Nullomers in Genomic Sequences. PLoS ONE. 11(12). e0164540–e0164540. 18 indexed citations
11.
Santoni, Daniele, Emanuel Weitschek, & Giovanni Felici. (2015). Optimal discretization and selection of features by association rates of joint distributions. RAIRO - Operations Research. 50(2). 437–449. 3 indexed citations
12.
Santoni, Daniele, Giovanni Felici, & Davide Vergni. (2015). Natural vs. random protein sequences: Discovering combinatorics properties on amino acid words. Journal of Theoretical Biology. 391. 13–20. 9 indexed citations
13.
Bertolazzi, Paola, Mary Ellen Bock, Concettina Guerra, Paola Paci, & Daniele Santoni. (2014). On the integration of protein-protein interaction networks with gene expression and 3D structural data: What can be gained?. IRIS Research product catalog (Sapienza University of Rome).
14.
Cumbo, Fabio, Paola Paci, Daniele Santoni, Luisa Di Paola, & Alessandro Giuliani. (2014). GIANT: A Cytoscape Plugin for Modular Networks. PLoS ONE. 9(10). e105001–e105001. 35 indexed citations
15.
Paola, Luisa Di, Micol De Ruvo, Paola Paci, et al.. (2013). Modules Identification in Protein Structures: The Topological and Geometrical Solutions. Journal of Chemical Information and Modeling. 54(1). 159–168. 37 indexed citations
16.
Paci, Paola, Luisa Di Paola, Daniele Santoni, Micol De Ruvo, & Alessandro Giuliani. (2012). Structural and Functional Analysis of Hemoglobin and Serum Albumin Through Protein Long-Range Interaction Networks. Current Proteomics. 9(3). 160–166. 12 indexed citations
17.
Pedone, Francesco & Daniele Santoni. (2012). Preferential Nucleosome Occupancy at High Values of DNA Helical Rise. DNA Research. 19(1). 81–90. 4 indexed citations
18.
Castiglione, Filippo, Daniele Santoni, & Nicolas Rapin. (2011). CTLs' repertoire shaping in the thymus: A Monte Carlo simulation. Autoimmunity. 44(4). 261–270. 5 indexed citations
19.
Bhatt, Tarun Kumar, Sameena Khan, Mohamad Aman Jairajpuri, et al.. (2009). A genomic glimpse of aminoacyl-tRNA synthetases in malaria parasite Plasmodium falciparum. BMC Genomics. 10(1). 644–644. 60 indexed citations
20.
Paparini, Andrea, et al.. (2007). ACTN3 Genotyping by Real-Time PCR in the Italian Population and Athletes. Medicine & Science in Sports & Exercise. 39(5). 810–815. 50 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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