Chiara Perfumo

732 total citations
17 papers, 357 citations indexed

About

Chiara Perfumo is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Chiara Perfumo has authored 17 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 8 papers in Molecular Biology and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Chiara Perfumo's work include Genomic variations and chromosomal abnormalities (9 papers), Prenatal Screening and Diagnostics (6 papers) and Chromosomal and Genetic Variations (4 papers). Chiara Perfumo is often cited by papers focused on Genomic variations and chromosomal abnormalities (9 papers), Prenatal Screening and Diagnostics (6 papers) and Chromosomal and Genetic Variations (4 papers). Chiara Perfumo collaborates with scholars based in Italy, United States and United Kingdom. Chiara Perfumo's co-authors include M. Pierluigi, Simona Cavani, Angelita Calı̀, Joan Overhauser, Alberto Inga, Gilberto Fronza, Federico Zara, Guido Pastore, Paola Menichini and Yari Ciribilli and has published in prestigious journals such as European Journal of Cancer, British Journal of Haematology and Journal of Medical Genetics.

In The Last Decade

Chiara Perfumo

17 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiara Perfumo Italy 11 211 173 95 80 75 17 357
Christa M. Lese United States 8 438 2.1× 313 1.8× 157 1.7× 68 0.8× 168 2.2× 12 598
Judith Dagan Israel 12 223 1.1× 231 1.3× 96 1.0× 39 0.5× 88 1.2× 27 457
Angelika J. Dawson Canada 11 157 0.7× 146 0.8× 70 0.7× 47 0.6× 42 0.6× 27 285
Hasmik Mkrtchyan Germany 11 194 0.9× 146 0.8× 70 0.7× 24 0.3× 111 1.5× 29 320
Peter Papenhausen United States 9 194 0.9× 154 0.9× 49 0.5× 21 0.3× 105 1.4× 15 341
Iskra Petković Croatia 11 164 0.8× 179 1.0× 24 0.3× 20 0.3× 56 0.7× 31 305
P. Petrinelli Italy 10 103 0.5× 240 1.4× 30 0.3× 66 0.8× 44 0.6× 30 325
Satoshi Ishikiriyama Japan 10 283 1.3× 289 1.7× 128 1.3× 14 0.2× 52 0.7× 21 472
Myriam Goldstein Israel 8 83 0.4× 209 1.2× 65 0.7× 49 0.6× 17 0.2× 10 331
Artur Darmanian Australia 11 195 0.9× 315 1.8× 86 0.9× 231 2.9× 33 0.4× 15 539

Countries citing papers authored by Chiara Perfumo

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Perfumo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Perfumo

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

All Works

17 of 17 papers shown
1.
Ricci, Maria Teresa, Viviana Gismondi, Chiara Perfumo, et al.. (2013). The FMR1 CGG repeat test is not a candidate prescreening tool for identifying women with a high probability of being carriers of BRCA mutations. European Journal of Human Genetics. 22(2). 280–282. 5 indexed citations
2.
Monti, Paola, Chiara Perfumo, Alessandra Bisio, et al.. (2011). Dominant-Negative Features of Mutant TP53 in Germline Carriers Have Limited Impact on Cancer Outcomes. Molecular Cancer Research. 9(3). 271–279. 64 indexed citations
3.
Russo, Debora, Gilberto Fronza, Laura Ottaggio, et al.. (2010). XRCC1 deficiency influences the cytotoxicity and the genomic instability induced by Me-lex, a specific inducer of N3-methyladenine. DNA repair. 9(7). 728–736. 1 indexed citations
4.
Parodi, Stefano, Chiara Perfumo, Alberto Garaventa, et al.. (2010). MDM2 SNP309 genotype is associated with ferritin and LDH serum levels in children with stage 4 neuroblastoma. Pediatric Blood & Cancer. 55(2). 267–272. 3 indexed citations
5.
Perfumo, Chiara, Stefano Parodi, Katia Mazzocco, et al.. (2009). MDM2 SNP309 genotype influences survival of metastatic but not of localized neuroblastoma. Pediatric Blood & Cancer. 53(4). 576–583. 13 indexed citations
6.
Perfumo, Chiara, Stefano Parodi, Katia Mazzocco, et al.. (2008). Impact of MDM2 SNP309 genotype on progression and survival of stage 4 neuroblastoma. European Journal of Cancer. 44(17). 2634–2639. 12 indexed citations
7.
Monti, Paola, Yari Ciribilli, Debora Russo, et al.. (2008). Rev1 and Polζ influence toxicity and mutagenicity of Me-lex, a sequence selective N3-adenine methylating agent. DNA repair. 7(3). 431–438. 17 indexed citations
8.
Perfumo, Chiara, L Bonelli, Paola Menichini, et al.. (2006). Increased Risk of Colorectal Adenomas in Italian Subjects Carrying the <i>p53</i> PIN3 A2-Pro72 Haplotype. Digestion. 74(3-4). 228–235. 19 indexed citations
9.
Cavani, Simona, Chiara Perfumo, Francesca Faravelli, et al.. (2003). Cryptic 1p36.3/6q25.2 translocation in three generations ascertained through a foetus with IUGR and cerebral malformations. Prenatal Diagnosis. 23(10). 819–823. 10 indexed citations
10.
Perfumo, Chiara, Angelita Calı̀, Guido Pastore, et al.. (2001). Clinical and molecular characterisation of 80 patients with 5p deletion: genotype-phenotype correlation. Journal of Medical Genetics. 38(3). 151–158. 129 indexed citations
11.
Giardino, Daniela, Daniela Bettio, Nicoletta Rizzi, et al.. (1999). FISH characterization of two supernumerary r(1) associated with distinct clinical phenotypes. American Journal of Medical Genetics. 84(4). 377–380. 8 indexed citations
12.
Giardino, Daniela, Daniela Bettio, Nicoletta Rizzi, et al.. (1999). FISH characterization of two supernumerary r(1) associated with distinct clinical phenotypes.. PubMed. 84(4). 377–80. 11 indexed citations
13.
Cavani, Simona, Chiara Perfumo, Alessandra Argusti, et al.. (1998). Cytogenetic and molecular study of 32 Down syndrome families: potential leukaemia predisposing role of the most proximal segment of chromosome 21q. British Journal of Haematology. 103(1). 213–216. 18 indexed citations
14.
Mattina, Teresa, et al.. (1997). Double partial trisomy 9q34.1-->qter and 21pter-->q22.11: FISH and clinical findings.. Journal of Medical Genetics. 34(11). 945–948. 11 indexed citations
15.
Pierluigi, M., et al.. (1997). Combined use of cytogenetic analysis and FISH for the identification of two antenatal de novo markers as Robertsonian translocations involving the p arms.. PubMed. 40(2). 99–103. 1 indexed citations
16.
Pierluigi, M., Chiara Perfumo, Simona Cavani, et al.. (1996). An improved method for the detection of Down's syndrome aneuploidy in uncultured amniocytes. Clinical Genetics. 49(1). 32–36. 4 indexed citations
17.
Coviello, Domenico, et al.. (1996). Maternal Uniparental Disomy for Chromosome 14. Acta geneticae medicae et gemellologiae twin research. 45(1-2). 169–172. 31 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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