Simone Zaccaria

3.8k total citations
24 papers, 425 citations indexed

About

Simone Zaccaria is a scholar working on Cancer Research, Molecular Biology and Genetics. According to data from OpenAlex, Simone Zaccaria has authored 24 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cancer Research, 17 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Simone Zaccaria's work include Cancer Genomics and Diagnostics (19 papers), Genomics and Phylogenetic Studies (8 papers) and Genetic factors in colorectal cancer (7 papers). Simone Zaccaria is often cited by papers focused on Cancer Genomics and Diagnostics (19 papers), Genomics and Phylogenetic Studies (8 papers) and Genetic factors in colorectal cancer (7 papers). Simone Zaccaria collaborates with scholars based in United States, United Kingdom and Italy. Simone Zaccaria's co-authors include Benjamin J. Raphael, Gryte Satas, Mohammed El-Kebir, Gunnar W. Klau, Charles Swanton, Mariam Jamal‐Hanjani, Paola Bonizzoni, Oriol Pich, Yuri Pirola and Riccardo Dondi and has published in prestigious journals such as Nature, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Simone Zaccaria

24 papers receiving 423 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 Zaccaria United States 11 317 289 129 82 54 24 425
Geneviève Ouellette Canada 13 288 0.9× 110 0.4× 168 1.3× 115 1.4× 48 0.9× 23 407
Chris Leo United States 3 264 0.8× 153 0.5× 220 1.7× 42 0.5× 43 0.8× 4 409
Yasin Memari United Kingdom 8 353 1.1× 185 0.6× 59 0.5× 68 0.8× 32 0.6× 12 447
Kamil J. Cygan United States 12 527 1.7× 125 0.4× 118 0.9× 79 1.0× 52 1.0× 18 671
Joanna Achinger-Kawecka Australia 11 528 1.7× 164 0.6× 86 0.7× 62 0.8× 30 0.6× 14 600
Gryte Satas United States 7 225 0.7× 272 0.9× 105 0.8× 43 0.5× 88 1.6× 11 310
Nilgun Donmez Canada 6 225 0.7× 158 0.5× 72 0.6× 48 0.6× 42 0.8× 8 332
Mirjam S. de Pagter Netherlands 6 331 1.0× 187 0.6× 153 1.2× 126 1.5× 27 0.5× 7 557
Alexander Martinez‐Fundichely United States 10 233 0.7× 108 0.4× 115 0.9× 27 0.3× 17 0.3× 14 309
Donate Weghorn Spain 7 249 0.8× 146 0.5× 162 1.3× 46 0.6× 24 0.4× 13 354

Countries citing papers authored by Simone Zaccaria

Since Specialization
Citations

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

Fields of papers citing papers by Simone Zaccaria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Zaccaria

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Zaccaria. A scholar is included among the top collaborators of Simone Zaccaria 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 Zaccaria. Simone Zaccaria 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.
Pawlik, Piotr, Kristiana Grigoriadis, Abigail Bunkum, et al.. (2025). Clone copy number diversity is linked to survival in lung cancer. Nature. 646(8083). 190–197. 1 indexed citations
2.
Dietzen, Michelle, Hao-Ran Zhai, Olivia Lucas, et al.. (2024). Replication timing alterations are associated with mutation acquisition during breast and lung cancer evolution. Nature Communications. 15(1). 6039–6039. 3 indexed citations
3.
Myers, Matthew, et al.. (2024). HATCHet2: clone- and haplotype-specific copy number inference from bulk tumor sequencing data. Genome biology. 25(1). 130–130. 5 indexed citations
4.
Attiyeh, Marc A., Akimasa Hayashi, Hitomi Sakamoto, et al.. (2024). The Evolutionary Forest of Pancreatic Cancer. Cancer Discovery. 15(2). 329–345. 8 indexed citations
5.
Grigoriadis, Kristiana, Ariana Huebner, Abigail Bunkum, et al.. (2023). CONIPHER: a computational framework for scalable phylogenetic reconstruction with error correction. Nature Protocols. 19(1). 159–183. 9 indexed citations
6.
Zaccaria, Simone, Matthew V. Cannon, Maren Cam, et al.. (2023). Structurally Complex Osteosarcoma Genomes Exhibit Limited Heterogeneity within Individual Tumors and across Evolutionary Time. Cancer Research Communications. 3(4). 564–575. 17 indexed citations
7.
Bunkum, Abigail, Charles Swanton, Mariam Jamal‐Hanjani, & Simone Zaccaria. (2023). 1O SPICE: Probabilistic reconstruction of copy-number evolution in metastatic cancers. ESMO Open. 8(1). 101647–101647. 1 indexed citations
8.
Usaite, Ieva, Dhruva Biswas, Krijn K. Dijkstra, et al.. (2023). Quantifying the impact of immunotherapy on RNA dynamics in cancer. Journal for ImmunoTherapy of Cancer. 11(11). e007870–e007870. 2 indexed citations
9.
Hessey, Sonya, Petros Fessas, Simone Zaccaria, Mariam Jamal‐Hanjani, & Charles Swanton. (2023). Insights into the metastatic cascade through research autopsies. Trends in cancer. 9(6). 490–502. 9 indexed citations
10.
Hsu, Silas, et al.. (2022). CNAViz: An interactive webtool for user-guided segmentation of tumor DNA sequencing data. PLoS Computational Biology. 18(10). e1010614–e1010614. 1 indexed citations
11.
Zaccaria, Simone, et al.. (2022). Parsimonious Clone Tree Integration in cancer. Algorithms for Molecular Biology. 17(1). 3–3. 8 indexed citations
12.
Satas, Gryte, Simone Zaccaria, Mohammed El-Kebir, & Benjamin J. Raphael. (2021). DeCiFering the elusive cancer cell fraction in tumor heterogeneity and evolution. Cell Systems. 12(10). 1004–1018.e10. 14 indexed citations
13.
Zaccaria, Simone & Benjamin J. Raphael. (2020). Accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data. Nature Communications. 11(1). 4301–4301. 53 indexed citations
14.
Myers, Matthew, Simone Zaccaria, & Benjamin J. Raphael. (2020). Identifying tumor clones in sparse single-cell mutation data. Bioinformatics. 36(Supplement_1). i186–i193. 14 indexed citations
15.
Zaccaria, Simone & Benjamin J. Raphael. (2020). Characterizing allele- and haplotype-specific copy numbers in single cells with CHISEL. Nature Biotechnology. 39(2). 207–214. 77 indexed citations
16.
Satas, Gryte, et al.. (2020). SCARLET: Single-Cell Tumor Phylogeny Inference with Copy-Number Constrained Mutation Losses. Cell Systems. 10(4). 323–332.e8. 48 indexed citations
17.
Beretta, Stefano, Murray Patterson, Simone Zaccaria, Gianluca Della Vedova, & Paola Bonizzoni. (2018). HapCHAT: adaptive haplotype assembly for efficiently leveraging high coverage in long reads. BMC Bioinformatics. 19(1). 252–252. 6 indexed citations
18.
Zaccaria, Simone, Mohammed El-Kebir, Gunnar W. Klau, & Benjamin J. Raphael. (2018). Phylogenetic Copy-Number Factorization of Multiple Tumor Samples. Journal of Computational Biology. 25(7). 689–708. 19 indexed citations
19.
El-Kebir, Mohammed, Benjamin J. Raphael, Ron Shamir, et al.. (2017). Complexity and algorithms for copy-number evolution problems. Algorithms for Molecular Biology. 12(1). 13–13. 23 indexed citations
20.
Bonizzoni, Paola, Riccardo Dondi, Gunnar W. Klau, et al.. (2016). On the Minimum Error Correction Problem for Haplotype Assembly in Diploid and Polyploid Genomes. Journal of Computational Biology. 23(9). 718–736. 20 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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