Claudia Calabrese

16.4k total citations
16 papers, 680 citations indexed

About

Claudia Calabrese is a scholar working on Molecular Biology, Clinical Biochemistry and Oncology. According to data from OpenAlex, Claudia Calabrese has authored 16 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Clinical Biochemistry and 2 papers in Oncology. Recurrent topics in Claudia Calabrese's work include Mitochondrial Function and Pathology (12 papers), Metabolism and Genetic Disorders (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Claudia Calabrese is often cited by papers focused on Mitochondrial Function and Pathology (12 papers), Metabolism and Genetic Disorders (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Claudia Calabrese collaborates with scholars based in Italy, United Kingdom and United States. Claudia Calabrese's co-authors include Giuseppe Gasparre, Marcella Attimonelli, Domenico Simone, Mariangela Santorsola, Maria Angela Diroma, Ernesto Picardi, Graziano Pesole, Patrick F. Chinnery, Cristiano Guttà and Francesco Maria Calabrese and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Claudia Calabrese

16 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudia Calabrese Italy 13 557 164 146 117 37 16 680
Katherine Schon United Kingdom 9 371 0.7× 103 0.6× 126 0.9× 91 0.8× 27 0.7× 23 510
Thomas J. Nicholls United Kingdom 17 1.0k 1.8× 333 2.0× 64 0.4× 67 0.6× 18 0.5× 23 1.1k
Sophie Monnot France 13 403 0.7× 191 1.2× 206 1.4× 28 0.2× 9 0.2× 27 585
Anita M. Quintana United States 12 384 0.7× 73 0.4× 212 1.5× 50 0.4× 26 0.7× 24 665
Mariangela Santorsola Italy 9 279 0.5× 86 0.5× 104 0.7× 74 0.6× 15 0.4× 10 395
Noélia Custódio Portugal 10 749 1.3× 24 0.1× 127 0.9× 65 0.6× 19 0.5× 16 885
Serge Vicaire France 11 403 0.7× 42 0.3× 103 0.7× 39 0.3× 7 0.2× 12 513
Xueyan Yang China 16 477 0.9× 20 0.1× 116 0.8× 104 0.9× 43 1.2× 36 703
Eyby Leon United States 9 263 0.5× 60 0.4× 104 0.7× 18 0.2× 25 0.7× 29 379
Alba Sanchis‐Juan United Kingdom 8 234 0.4× 35 0.2× 224 1.5× 49 0.4× 34 0.9× 15 431

Countries citing papers authored by Claudia Calabrese

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Calabrese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Calabrese

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Calabrese. A scholar is included among the top collaborators of Claudia Calabrese 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 Claudia Calabrese. Claudia Calabrese 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.
Calabrese, Claudia, Angela Pyle, Helen Griffin, et al.. (2022). Heteroplasmic mitochondrial DNA variants in cardiovascular diseases. PLoS Genetics. 18(4). e1010068–e1010068. 17 indexed citations
2.
Esposito, Marco, Juvid Aryaman, Wei Wei, et al.. (2021). Mitochondrial DNA heteroplasmy is modulated during oocyte development propagating mutation transmission. Science Advances. 7(50). eabi5657–eabi5657. 25 indexed citations
3.
Yonova-Doing, Ekaterina, Claudia Calabrese, Aurora Gómez-Durán, et al.. (2021). An atlas of mitochondrial DNA genotype–phenotype associations in the UK Biobank. Nature Genetics. 53(7). 982–993. 58 indexed citations
4.
Calabrese, Claudia, et al.. (2021). Single-molecule mitochondrial DNA sequencing shows no evidence of CpG methylation in human cells and tissues. Nucleic Acids Research. 49(22). 12757–12768. 25 indexed citations
5.
Demircioğlu, Deniz, Engin Cukuroglu, Tannistha Nandi, et al.. (2019). A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters. Cell. 178(6). 1465–1477.e17. 131 indexed citations
6.
Clima, Rosanna, Claudia Calabrese, Maria Angela Diroma, et al.. (2016). HmtDB 2016: data update, a better performing query system and human mitochondrial DNA haplogroup predictor. Nucleic Acids Research. 45(D1). D698–D706. 41 indexed citations
7.
Santorsola, Mariangela, Claudia Calabrese, Giulia Girolimetti, et al.. (2015). A multi-parametric workflow for the prioritization of mitochondrial DNA variants of clinical interest. Human Genetics. 135(1). 121–136. 26 indexed citations
8.
Vidone, Michele, Rosanna Clima, Mariangela Santorsola, et al.. (2015). A comprehensive characterization of mitochondrial DNA mutations in glioblastoma multiforme. The International Journal of Biochemistry & Cell Biology. 63. 46–54. 25 indexed citations
9.
Kurelac, Ivana, Dario de Biase, Claudia Calabrese, et al.. (2015). High-resolution genomic profiling of thyroid lesions uncovers preferential copy number gains affecting mitochondrial biogenesis loci in the oncocytic variants.. PubMed. 5(6). 1954–71. 8 indexed citations
10.
Diroma, Maria Angela, Claudia Calabrese, Domenico Simone, et al.. (2014). Extraction and annotation of human mitochondrial genomes from 1000 Genomes Whole Exome Sequencing data. BMC Genomics. 15(S3). S2–S2. 56 indexed citations
11.
Calabrese, Claudia, Domenico Simone, Maria Angela Diroma, et al.. (2014). MToolBox: a highly automated pipeline for heteroplasmy annotation and prioritization analysis of human mitochondrial variants in high-throughput sequencing. Bioinformatics. 30(21). 3115–3117. 136 indexed citations
12.
Calabrese, Claudia, Caterina Manzari, Mariano Francesco Caratozzolo, et al.. (2013). A platform independent RNA-Seq protocol for the detection of transcriptome complexity. BMC Genomics. 14(1). 855–855. 8 indexed citations
13.
Vidone, Michele, Federica Alessandrini, Gianluca Marucci, et al.. (2013). Evidence of association of human papillomavirus with prognosis worsening in glioblastoma multiforme. Neuro-Oncology. 16(2). 298–302. 27 indexed citations
14.
Petruzzella, Vittoria, Rosalba Carrozzo, Claudia Calabrese, et al.. (2012). Deep sequencing unearths Nuclear mitochondrial Sequences under Leber's hereditary optic neuropathy-associated false heteroplasmic mitochondrial DNA variants. Human Molecular Genetics. 21(17). 3753–3764. 10 indexed citations
15.
Rubino, Francesco, Roberta Piredda, Francesco Maria Calabrese, et al.. (2011). HmtDB, a genomic resource for mitochondrion-based human variability studies. Nucleic Acids Research. 40(D1). D1150–D1159. 65 indexed citations
16.
Kurelac, Ivana, Martin Lang, Roberta Zuntini, et al.. (2011). Searching for a needle in the haystack: Comparing six methods to evaluate heteroplasmy in difficult sequence context. Biotechnology Advances. 30(1). 363–371. 22 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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