Andrea Nuccitelli

785 total citations
16 papers, 593 citations indexed

About

Andrea Nuccitelli is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Surgery. According to data from OpenAlex, Andrea Nuccitelli has authored 16 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pediatrics, Perinatology and Child Health, 8 papers in Genetics and 4 papers in Surgery. Recurrent topics in Andrea Nuccitelli's work include Prenatal Screening and Diagnostics (11 papers), Genomic variations and chromosomal abnormalities (8 papers) and Fetal and Pediatric Neurological Disorders (3 papers). Andrea Nuccitelli is often cited by papers focused on Prenatal Screening and Diagnostics (11 papers), Genomic variations and chromosomal abnormalities (8 papers) and Fetal and Pediatric Neurological Disorders (3 papers). Andrea Nuccitelli collaborates with scholars based in Italy, United States and United Kingdom. Andrea Nuccitelli's co-authors include Francesco Fiorentino, Anıl Biricik, Sara Bono, Marina Baldi, Ermanno Greco, Maria Giulia Minasi, Giuliano Cottone, Claude-Edouard Michel, Felix Kokocinski and Ettore Cotroneo and has published in prestigious journals such as Gut, Journal of Hepatology and Human Reproduction.

In The Last Decade

Andrea Nuccitelli

15 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Nuccitelli Italy 10 446 256 104 104 75 16 593
Anita Sik Yau Kan China 12 228 0.5× 203 0.8× 113 1.1× 96 0.9× 59 0.8× 41 492
Brian Thiel United States 10 201 0.5× 348 1.4× 186 1.8× 26 0.3× 89 1.2× 11 598
Barbara Gentilin Italy 13 130 0.3× 226 0.9× 185 1.8× 63 0.6× 82 1.1× 23 523
Maryse Bonnière France 10 101 0.2× 129 0.5× 260 2.5× 93 0.9× 64 0.9× 19 479
Yvonne K. Kwok China 13 300 0.7× 285 1.1× 216 2.1× 36 0.3× 51 0.7× 25 563
G. Lefort France 16 290 0.7× 377 1.5× 189 1.8× 74 0.7× 58 0.8× 34 632
Vincenzo Cirigliano Spain 18 817 1.8× 550 2.1× 210 2.0× 57 0.5× 111 1.5× 46 1.0k
Maria Carla Pittalis Italy 13 419 0.9× 254 1.0× 132 1.3× 68 0.7× 90 1.2× 26 564
M. Meijer‐Hoogeveen Netherlands 13 348 0.8× 171 0.7× 67 0.6× 222 2.1× 33 0.4× 14 521
Walter van der Vliet Netherlands 7 127 0.3× 443 1.7× 242 2.3× 7 0.1× 23 0.3× 8 623

Countries citing papers authored by Andrea Nuccitelli

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Nuccitelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Nuccitelli

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Nuccitelli. A scholar is included among the top collaborators of Andrea Nuccitelli 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 Andrea Nuccitelli. Andrea Nuccitelli 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.
Nuccitelli, Andrea, et al.. (2021). Are HLA-G polymorphisms associated to recurrent pregnancy loss?. Italian Journal of Gynaecology and Obstetrics. 33(1). 26–26. 2 indexed citations
2.
Svicher, Valentina, Romina Salpini, Lorenzo Piermatteo, et al.. (2020). Whole exome HBV DNA integration is independent of the intrahepatic HBV reservoir in HBeAg-negative chronic hepatitis B. Gut. 70(12). 2337–2348. 50 indexed citations
3.
Svicher, Valentina, Romina Salpini, Luna Colagrossi, et al.. (2019). GS-17-The integration of Hepatitis B virus into human genome is a common event in the setting of HBeAg negative disease: Implications for the treatment and management of CHB. Journal of Hepatology. 70(1). e83–e84. 4 indexed citations
4.
Bono, Sara, Anıl Biricik, L. Spizzichino, et al.. (2015). Validation of a semiconductor next‐generation sequencing‐based protocol for preimplantation genetic diagnosis of reciprocal translocations. Prenatal Diagnosis. 35(10). 938–944. 31 indexed citations
5.
Fiorentino, Francesco, Sara Bono, Anıl Biricik, et al.. (2014). Application of next-generation sequencing technology for comprehensive aneuploidy screening of blastocysts in clinical preimplantation genetic screening cycles. Human Reproduction. 29(12). 2802–2813. 189 indexed citations
6.
Spinella, Francesca, Anıl Biricik, Sara Bono, et al.. (2014). Next generation sequencing-based aneuploidy screening improves detection of low-level mosaicism in human embryos. Fertility and Sterility. 102(3). e94–e95. 2 indexed citations
7.
Fiorentino, Francesco, Sara Bono, L. Spizzichino, et al.. (2012). Chromosome microarray analysis in routine prenatal diagnosis practice: A prospective study on 2,800 clinical cases. Prenatal Diagnosis. 32. 8–9. 1 indexed citations
8.
Fiorentino, Francesco, Sara Bono, L. Spizzichino, et al.. (2012). The use of chromosome microarray analysis as a first-line test in low risk pregnancies. Prenatal Diagnosis. 32. 6–7. 1 indexed citations
9.
Fiorentino, Francesco, Mariateresa Sessa, Sara Bono, et al.. (2012). Chromosomal microarray analysis as a first-line test in pregnancies with a priori low risk for the detection of submicroscopic chromosomal abnormalities. European Journal of Human Genetics. 21(7). 725–730. 64 indexed citations
10.
Fiorentino, Francesco, Stefania Napolitano, L. Spizzichino, et al.. (2012). Array CGH in routine prenatal diagnosis practice: reply letter. Prenatal Diagnosis. 32(7). 711–712.
11.
Fiorentino, Francesco, Stefania Napolitano, L. Spizzichino, et al.. (2011). Introducing array comparative genomic hybridization into routine prenatal diagnosis practice: a prospective study on over 1000 consecutive clinical cases. Prenatal Diagnosis. 31(13). 1270–1282. 78 indexed citations
12.
Fusco, Carlo, Daniele Frattini, Enrico Farnetti, et al.. (2009). Hereditary spastic paraplegia and axonal motor neuropathy caused by a novel SPG3A de novo mutation. Brain and Development. 32(7). 592–594. 23 indexed citations
13.
Fiorentino, Francesco, Anıl Biricik, Andrea Nuccitelli, et al.. (2007). Rapid protocol for pre‐conception genetic diagnosis of single gene mutations by first polar body analysis: a possible solution for the Italian patients. Prenatal Diagnosis. 28(1). 62–64. 13 indexed citations
14.
Fiorentino, Francesco, Semra Kahraman, Anıl Biricik, et al.. (2005). Short tandem repeats haplotyping of the HLA region in preimplantation HLA matching. European Journal of Human Genetics. 13(8). 953–958. 42 indexed citations
15.
Fiorentino, Francesco, Anıl Biricik, Andrea Nuccitelli, et al.. (2005). Strategies and clinical outcome of 250 cycles of Preimplantation Genetic Diagnosis for single gene disorders. Human Reproduction. 21(3). 670–684. 81 indexed citations
16.
Iacobelli, Marcello, Ermanno Greco, Laura Rienzi, et al.. (2003). Birth of a healthy female after preimplantation genetic diagnosis for Charcot';Marie';Tooth type X. Reproductive BioMedicine Online. 7(5). 558–562. 12 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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