Lamberto Camurri

26 total papers · 826 total citations
13 papers, 537 citations indexed

About

Lamberto Camurri is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Cancer Research. According to data from OpenAlex, Lamberto Camurri has authored 13 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pediatrics, Perinatology and Child Health, 5 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Lamberto Camurri's work include Prenatal Screening and Diagnostics (7 papers), Genomic variations and chromosomal abnormalities (3 papers) and Fetal and Pediatric Neurological Disorders (2 papers). Lamberto Camurri is often cited by papers focused on Prenatal Screening and Diagnostics (7 papers), Genomic variations and chromosomal abnormalities (3 papers) and Fetal and Pediatric Neurological Disorders (2 papers). Lamberto Camurri collaborates with scholars based in Italy, Brazil and United States. Lamberto Camurri's co-authors include Marcella De Ferrari, Stefano Bonassi, Alessandra Forni, Cecilia Lando, Daniela Vecchio, Riccardo Puntoni, Laura Lamberti, P Padovani, Francesca Degrassi and Isabella Sbrana and has published in prestigious journals such as PLoS ONE, American Journal of Obstetrics and Gynecology and Journal of Medical Genetics.

In The Last Decade

Lamberto Camurri

13 papers receiving 517 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lamberto Camurri 320 193 131 119 92 13 537
Yasumoto Kikuchi 226 0.7× 207 1.1× 84 0.6× 67 0.6× 119 1.3× 21 601
Tatiana Tvrdik 126 0.4× 222 1.2× 41 0.3× 60 0.5× 222 2.4× 16 516
J.-L. Bergé-Lefranc 111 0.3× 272 1.4× 90 0.7× 18 0.2× 81 0.9× 16 482
Elena Tulupová 237 0.7× 357 1.8× 143 1.1× 29 0.2× 46 0.5× 16 610
T. Tsuchimoto 143 0.4× 163 0.8× 42 0.3× 11 0.1× 101 1.1× 26 453
Kari Hemminki 212 0.7× 146 0.8× 71 0.5× 29 0.2× 176 1.9× 16 594
F.J. van Dam 398 1.2× 265 1.4× 171 1.3× 5 0.0× 36 0.4× 12 554
Koray Dinçol 205 0.6× 63 0.3× 107 0.8× 16 0.1× 28 0.3× 23 485
Karen E. Davis‐King 192 0.6× 45 0.2× 212 1.6× 13 0.1× 26 0.3× 14 458
W. P. Chang 212 0.7× 205 1.1× 90 0.7× 15 0.1× 31 0.3× 15 603

Countries citing papers authored by Lamberto Camurri

Since Specialization
Citations

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

Fields of papers citing papers by Lamberto Camurri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lamberto Camurri

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

All Works

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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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2026