Simone Ciccolella

437 total citations
16 papers, 129 citations indexed

About

Simone Ciccolella is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Simone Ciccolella has authored 16 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Cancer Research and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Simone Ciccolella's work include Cancer Genomics and Diagnostics (10 papers), Genomics and Phylogenetic Studies (8 papers) and Single-cell and spatial transcriptomics (5 papers). Simone Ciccolella is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), Genomics and Phylogenetic Studies (8 papers) and Single-cell and spatial transcriptomics (5 papers). Simone Ciccolella collaborates with scholars based in Italy, United States and Slovakia. Simone Ciccolella's co-authors include Gianluca Della Vedova, Paola Bonizzoni, Iman Hajirasouliha, Mauricio Soto, Camir Ricketts, Murray Patterson, Ehsan Haghshenas, Salem Malikić, S. Cenk Şahinalp and Md. Khaledur Rahman and has published in prestigious journals such as Bioinformatics, Genome Research and BMC Bioinformatics.

In The Last Decade

Simone Ciccolella

15 papers receiving 129 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simone Ciccolella Italy 7 114 95 30 23 18 16 129
Manjie Xing Singapore 3 121 1.1× 53 0.6× 22 0.7× 18 0.8× 44 2.4× 3 173
Moritz J. Przybilla United Kingdom 4 89 0.8× 66 0.7× 36 1.2× 13 0.6× 23 1.3× 9 142
Ian C. MacArthur United States 5 90 0.8× 26 0.3× 22 0.7× 6 0.3× 13 0.7× 10 127
Ramin Sakhtemani United States 5 104 0.9× 37 0.4× 16 0.5× 6 0.3× 26 1.4× 7 128
Paula Soler-Vila Spain 4 95 0.8× 17 0.2× 11 0.4× 17 0.7× 7 0.4× 4 122
Maria Andrianova United States 5 65 0.6× 53 0.6× 28 0.9× 30 1.3× 16 0.9× 8 103
Carrie M. Margulies United States 4 243 2.1× 42 0.4× 33 1.1× 19 0.8× 29 1.6× 5 267
Kristina Keuper Germany 4 111 1.0× 45 0.5× 35 1.2× 5 0.2× 32 1.8× 7 170
Michael McClellan United Kingdom 5 138 1.2× 35 0.4× 52 1.7× 12 0.5× 5 0.3× 6 172
Katelynd Vanness United States 3 95 0.8× 37 0.4× 22 0.7× 4 0.2× 39 2.2× 3 161

Countries citing papers authored by Simone Ciccolella

Since Specialization
Citations

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

Fields of papers citing papers by Simone Ciccolella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Ciccolella

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

All Works

16 of 16 papers shown
1.
Bonizzoni, Paola, et al.. (2024). RecGraph: recombination-aware alignment of sequences to variation graphs. Bioinformatics. 40(5). 1 indexed citations
2.
Ciccolella, Simone, et al.. (2024). Differential quantification of alternative splicing events on spliced pangenome graphs. PLoS Computational Biology. 20(12). e1012665–e1012665.
3.
Ali, Sarwan, et al.. (2023). Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data. Journal of Computational Biology. 30(4). 469–491. 1 indexed citations
4.
Ciccolella, Simone, et al.. (2022). MALVIRUS: an integrated application for viral variant analysis. BMC Bioinformatics. 22(S15). 625–625. 2 indexed citations
5.
Anand, Santosh, et al.. (2022). Accurate and fast clade assignment via deep learning and frequency chaos game representation. GigaScience. 12. 5 indexed citations
6.
Anand, Santosh, et al.. (2022). Accurate classification of SARS-CoV-2 clades using Frequency Chaos Game Representation. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
7.
Ali, Sarwan, et al.. (2021). Simpler and Faster Development of Tumor Phylogeny Pipelines. Journal of Computational Biology. 28(11). 1142–1155. 5 indexed citations
8.
Ciccolella, Simone, Murray Patterson, Paola Bonizzoni, & Gianluca Della Vedova. (2021). Effective Clustering for Single Cell Sequencing Cancer Data. IEEE Journal of Biomedical and Health Informatics. 25(11). 4068–4078. 7 indexed citations
9.
Ciccolella, Simone, Camir Ricketts, Mauricio Soto, et al.. (2020). Inferring cancer progression from Single-Cell Sequencing while allowing mutation losses. Bioinformatics. 37(3). 326–333. 20 indexed citations
10.
Ciccolella, Simone, et al.. (2020). Triplet-based similarity score for fully multilabeled trees with poly-occurring labels. Bioinformatics. 37(2). 178–184. 10 indexed citations
11.
Ciccolella, Simone, Mauricio Soto, Murray Patterson, et al.. (2020). gpps: an ILP-based approach for inferring cancer progression with mutation losses from single cell data. BMC Bioinformatics. 21(S1). 413–413. 9 indexed citations
12.
Malikić, Salem, Farid Rashidi Mehrabadi, Simone Ciccolella, et al.. (2019). PhISCS: a combinatorial approach for subperfect tumor phylogeny reconstruction via integrative use of single-cell and bulk sequencing data. Genome Research. 29(11). 1860–1877. 47 indexed citations
13.
Ciccolella, Simone, Murray Patterson, Paola Bonizzoni, & Gianluca Della Vedova. (2019). Effective Clustering for Single Cell Sequencing Cancer Data. BOA (University of Milano-Bicocca). 437–446. 1 indexed citations
14.
Bonizzoni, Paola, Simone Ciccolella, Gianluca Della Vedova, & Mauricio Soto. (2018). Does Relaxing the Infinite Sites Assumption Give Better Tumor Phylogenies? An ILP-Based Comparative Approach. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16(5). 1410–1423. 9 indexed citations
15.
Ciccolella, Simone, Mauricio Soto, Murray Patterson, et al.. (2018). GPPS: an ILP-based approach for inferring cancer progression with mutation losses from single cell data. BOA (University of Milano-Bicocca). 1–1. 1 indexed citations
16.
Bonizzoni, Paola, Simone Ciccolella, Gianluca Della Vedova, & Mauricio Soto. (2017). Beyond Perfect Phylogeny. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 1–10. 10 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026