Alvaro Mesoraca

565 total citations
38 papers, 349 citations indexed

About

Alvaro Mesoraca is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Genetics. According to data from OpenAlex, Alvaro Mesoraca has authored 38 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Pediatrics, Perinatology and Child Health and 13 papers in Genetics. Recurrent topics in Alvaro Mesoraca's work include Prenatal Screening and Diagnostics (12 papers), Genomic variations and chromosomal abnormalities (8 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Alvaro Mesoraca is often cited by papers focused on Prenatal Screening and Diagnostics (12 papers), Genomic variations and chromosomal abnormalities (8 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Alvaro Mesoraca collaborates with scholars based in Italy, United States and Brazil. Alvaro Mesoraca's co-authors include Claudio Giorlandino, Katia Margiotti, Pietro Cignini, Marco Fabiani, Antonella Viola, Giuseppe Novelli, Bruno Dallapiccola, Federica Sangiuolo, Salvatore Longo and Ferdinando Antonio Gulino and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Alvaro Mesoraca

35 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alvaro Mesoraca Italy 11 140 95 69 62 38 38 349
Jia Hou China 14 166 1.2× 47 0.5× 145 2.1× 38 0.6× 23 0.6× 48 519
Yoko Nishimura Japan 11 143 1.0× 48 0.5× 39 0.6× 16 0.3× 59 1.6× 58 422
Danny Halim Indonesia 13 66 0.5× 89 0.9× 65 0.9× 29 0.5× 16 0.4× 27 350
Marie‐Pierre Cordier France 11 168 1.2× 119 1.3× 189 2.7× 15 0.2× 18 0.5× 34 438
Carmen Ramos Spain 14 284 2.0× 70 0.7× 129 1.9× 54 0.9× 7 0.2× 40 555
Linda Gailīte Latvia 12 155 1.1× 68 0.7× 142 2.1× 13 0.2× 20 0.5× 67 437
Linhuan Huang China 14 139 1.0× 258 2.7× 107 1.6× 22 0.4× 67 1.8× 43 445
Joaquín Diaz-Recasens Spain 11 98 0.7× 337 3.5× 162 2.3× 145 2.3× 21 0.6× 14 488
Chiara Palka Italy 10 255 1.8× 136 1.4× 210 3.0× 24 0.4× 13 0.3× 34 468
Anna R. Duncan United States 8 182 1.3× 26 0.3× 52 0.8× 15 0.2× 7 0.2× 9 287

Countries citing papers authored by Alvaro Mesoraca

Since Specialization
Citations

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

Fields of papers citing papers by Alvaro Mesoraca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alvaro Mesoraca

This figure shows the co-authorship network connecting the top 25 collaborators of Alvaro Mesoraca. A scholar is included among the top collaborators of Alvaro Mesoraca 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 Alvaro Mesoraca. Alvaro Mesoraca 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.
Giorlandino, Claudio, Katia Margiotti, Marco Fabiani, et al.. (2025). Maternal Folate Receptor Alpha Autoantibodies and Increased Fetal Nuchal Translucency as Potential Early Markers of Autism Spectrum Disorder. Brain and Behavior. 15(11). e71088–e71088. 1 indexed citations
2.
Margiotti, Katia, et al.. (2024). Digenic Origin of Difference of Sex Development in a Patient Harbouring DHX37 and MAMLD1 Variants. SHILAP Revista de lepidopterología. 2024(1). 4896940–4896940.
3.
Margiotti, Katia, Marco Fabiani, Antonella Viola, et al.. (2024). Compound Heterozygous Variants in the IFT140 Gene Associated with Skeletal Ciliopathies. Diagnostics. 14(22). 2601–2601.
4.
5.
Fabiani, Marco, et al.. (2023). Dynamics of SARS-CoV-2-Specific B Cell Memory Responses in Infected and Vaccinated Individuals. Viral Immunology. 36(5). 343–350. 1 indexed citations
6.
Margiotti, Katia, et al.. (2023). Epigenetic Clocks: In Aging-Related and Complex Diseases. Cytogenetic and Genome Research. 163(5-6). 247–256. 28 indexed citations
7.
Sciacchitano, Salvatore, Maria Piane, Claudia De Vitis, et al.. (2022). Complete Pseudo-Anodontia in an Adult Woman with Pseudo-Hypoparathyroidism Type 1a: A New Additional Nonclassical Feature?. Diagnostics. 12(12). 2997–2997. 3 indexed citations
8.
Fabiani, Marco, et al.. (2022). Agnathia-Otocephaly Complex Due to a De Novo Deletion in the OTX2 Gene. Genes. 13(12). 2269–2269. 1 indexed citations
9.
Fabiani, Marco, Katia Margiotti, Manuela Sabatino, et al.. (2022). A Rapid and Consistent Method to Identify Four SARS-CoV-2 Variants during the First Half of 2021 by RT-PCR. Vaccines. 10(3). 483–483. 5 indexed citations
10.
Fabiani, Marco, et al.. (2021). Prenatal Diagnosis of Combined Maternal 4q Interstitial Deletion and Paternal 15q Microduplication. Genes. 12(10). 1626–1626. 2 indexed citations
11.
Margiotti, Katia, et al.. (2020). Evaluation of A Rapid IgM-IgG Combined Antibody Test for SARS-CoV-2 Infection: Single Italian Center Study. American Journal of Infectious Diseases. 16(2). 85–88. 1 indexed citations
12.
Mesoraca, Alvaro, et al.. (2020). Cell-free DNA screening for aneuploidies in 7113 pregnancies: single Italian centre study. Genetics Research. 102. e5–e5. 6 indexed citations
13.
Margiotti, Katia, et al.. (2020). Quantification of circulating microRNAs by droplet digital PCR for cancer detection. BMC Research Notes. 13(1). 351–351. 29 indexed citations
14.
Longo, Salvatore, et al.. (2019). Validation of Extensive Next-Generation Sequencing Method for Monogenic Disorder Analysis on Cell-Free Fetal DNA. Journal of Molecular Diagnostics. 21(4). 572–579. 9 indexed citations
15.
Cignini, Pietro, et al.. (2015). Predictive value of pregnancy-associated plasma protein-A (PAPP-A) and free beta-hCG on fetal growth restriction: results of a prospective study. Archives of Gynecology and Obstetrics. 293(6). 1227–1233. 32 indexed citations
16.
Salvinelli, Fabrizio, F. Anthony Greco, Laura D’Emidio, et al.. (2013). Significance of heterozygosis M34T mutation of GJB2 gene in non-syndromic congenital deafness. Retrospective analysis of 12,472 samples of amniotic fluid.. PubMed. 7(4). 56–8. 1 indexed citations
17.
Amorini, Angela Maria, Claudio Giorlandino, Salvatore Longo, et al.. (2011). Metabolic profile of amniotic fluid as a biochemical tool to screen for inborn errors of metabolism and fetal anomalies. Molecular and Cellular Biochemistry. 359(1-2). 205–216. 22 indexed citations
18.
Cignini, Pietro, Laura D’Emidio, Annamaria Giacobbe, et al.. (2011). Prenatal Diagnosis of a Fetus with de novo Supernumerary Ring Chromosome 16 Characterized by Array Comparative Genomic Hybridization. SHILAP Revista de lepidopterología. 1(1). 29–32. 15 indexed citations
19.
Perluigi, Marzia, Fabio Di Domenico, Chiara Cini, et al.. (2009). Proteomic analysis for the study of amniotic fluid protein composition.. PubMed. 3(3). 39–41. 7 indexed citations
20.
Mesoraca, Alvaro, G. Pilu, A. Perolo, et al.. (1996). ULTRASOUND AND MOLECULAR MID–TRIMESTER PRENATAL DIAGNOSIS OFDE NOVO ACHONDROPLASIA. Prenatal Diagnosis. 16(8). 764–768. 16 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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