Sandro Morganella

28.0k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Sandro Morganella is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Sandro Morganella has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in Sandro Morganella's work include Cancer Genomics and Diagnostics (8 papers), Genomic variations and chromosomal abnormalities (4 papers) and Genomics and Chromatin Dynamics (4 papers). Sandro Morganella is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Genomic variations and chromosomal abnormalities (4 papers) and Genomics and Chromatin Dynamics (4 papers). Sandro Morganella collaborates with scholars based in United Kingdom, Italy and United States. Sandro Morganella's co-authors include Serena Nik‐Zainal, Michele Ceccarelli, Pietro Zoppoli, Volker M. Arlt, Xueqing Zou, David H. Phillips, Jill E. Kucab, Arjun S. Nanda, Andrea Degasperi and Dominik Głodzik and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Sandro Morganella

16 papers receiving 1.1k citations

Hit Papers

A Compendium of Mutational Signatures of Environmental Ag... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandro Morganella United Kingdom 11 777 529 231 172 152 16 1.1k
Rebecca Harris United States 13 513 0.7× 314 0.6× 160 0.7× 145 0.8× 111 0.7× 22 858
Nils Weinhold United States 12 810 1.0× 384 0.7× 194 0.8× 282 1.6× 192 1.3× 19 1.2k
Jinfeng Zou Canada 16 646 0.8× 336 0.6× 118 0.5× 165 1.0× 69 0.5× 45 986
Wen‐Ming Cao China 18 522 0.7× 263 0.5× 154 0.7× 235 1.4× 75 0.5× 75 1.0k
Rita D. Brandão Netherlands 10 374 0.5× 232 0.4× 275 1.2× 138 0.8× 95 0.6× 18 717
Chunlin Xiao United States 8 482 0.6× 282 0.5× 285 1.2× 160 0.9× 61 0.4× 15 846
Yong Sung Kim South Korea 25 1.1k 1.4× 592 1.1× 178 0.8× 248 1.4× 132 0.9× 53 1.5k
Mona L. Gauthier United States 18 591 0.8× 321 0.6× 166 0.7× 426 2.5× 86 0.6× 18 1.1k
Junbai Wang Norway 21 845 1.1× 202 0.4× 140 0.6× 125 0.7× 100 0.7× 58 1.2k
Shashirekha Shetty United States 10 584 0.8× 269 0.5× 92 0.4× 214 1.2× 118 0.8× 31 856

Countries citing papers authored by Sandro Morganella

Since Specialization
Citations

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

Fields of papers citing papers by Sandro Morganella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandro Morganella

This figure shows the co-authorship network connecting the top 25 collaborators of Sandro Morganella. A scholar is included among the top collaborators of Sandro Morganella 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 Sandro Morganella. Sandro Morganella 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.
Marco, Carmela De, Pietro Zoppoli, Sandro Morganella, et al.. (2021). Genome-wide analysis of copy number alterations led to the characterisation of PDCD10 as oncogene in ovarian cancer. Translational Oncology. 14(3). 101013–101013. 16 indexed citations
2.
Degasperi, Andrea, Tauanne Dias Amarante, Jan Czarnecki, et al.. (2020). A practical framework and online tool for mutational signature analyses show intertissue variation and driver dependencies. Nature Cancer. 1(2). 249–263. 127 indexed citations
3.
Iotchkova, Valentina, Graham R. S. Ritchie, Matthias Geihs, et al.. (2019). GARFIELD classifies disease-relevant genomic features through integration of functional annotations with association signals. Nature Genetics. 51(2). 343–353. 94 indexed citations
4.
Kucab, Jill E., Xueqing Zou, Sandro Morganella, et al.. (2019). A Compendium of Mutational Signatures of Environmental Agents. Cell. 177(4). 821–836.e16. 358 indexed citations breakdown →
5.
Morganella, Sandro, Stephanie Alexander, Jonas Ries, et al.. (2018). ChromoTrace: Computational reconstruction of 3D chromosome configurations for super-resolution microscopy. PLoS Computational Biology. 14(3). e1006002–e1006002. 1 indexed citations
6.
Georgakopoulos‐Soares, Ilias, et al.. (2018). Noncanonical secondary structures arising from non-B DNA motifs are determinants of mutagenesis. Genome Research. 28(9). 1264–1271. 99 indexed citations
7.
Mattos‐Arruda, Leticia De, Stephen‐John Sammut, Edith Ross, et al.. (2018). The integrated genomic and immune landscapes of lethal metastatic breast cancer (MBC).. Journal of Clinical Oncology. 36(15_suppl). 1009–1009. 1 indexed citations
8.
Davies, Helen, Sandro Morganella, Colin A. Purdie, et al.. (2017). Whole-Genome Sequencing Reveals Breast Cancers with Mismatch Repair Deficiency. Cancer Research. 77(18). 4755–4762. 76 indexed citations
9.
Zou, Xueqing, Sandro Morganella, Dominik Głodzik, et al.. (2017). Short inverted repeats contribute to localized mutability in human somatic cells. Nucleic Acids Research. 45(19). 11213–11221. 19 indexed citations
10.
Nik‐Zainal, Serena, Jill E. Kucab, Sandro Morganella, et al.. (2015). The genome as a record of environmental exposure. Mutagenesis. 30(6). gev073–gev073. 143 indexed citations
11.
Anjum, Samreen, Sandro Morganella, Fulvio D’Angelo, Antonio Iavarone, & Michele Ceccarelli. (2015). VEGAWES: variational segmentation on whole exome sequencing for copy number detection. BMC Bioinformatics. 16(1). 315–315. 3 indexed citations
12.
Morganella, Sandro & Michele Ceccarelli. (2012). VegaMC: a R/bioconductor package for fast downstream analysis of large array comparative genomic hybridization datasets. Bioinformatics. 28(19). 2512–2514. 4 indexed citations
13.
Morganella, Sandro, Stefano Maria Pagnotta, & Michele Ceccarelli. (2011). Finding recurrent copy number alterations preserving within-sample homogeneity. Bioinformatics. 27(21). 2949–2956. 22 indexed citations
14.
Zoppoli, Pietro, Sandro Morganella, & Michele Ceccarelli. (2010). TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach. BMC Bioinformatics. 11(1). 154–154. 161 indexed citations
15.
Morganella, Sandro, Luigi Cerulo, Giuseppe Viglietto, & Michele Ceccarelli. (2010). VEGA: variational segmentation for copy number detection. Bioinformatics. 26(24). 3020–3027. 17 indexed citations
16.
Morganella, Sandro, Pietro Zoppoli, & Michele Ceccarelli. (2009). IRIS: a method for reverse engineering of regulatory relations in gene networks. BMC Bioinformatics. 10(1). 444–444. 4 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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