Lucilla Pizzo

706 total citations
11 papers, 168 citations indexed

About

Lucilla Pizzo is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Lucilla Pizzo has authored 11 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Lucilla Pizzo's work include Genomic variations and chromosomal abnormalities (5 papers), Genomics and Rare Diseases (4 papers) and Chromosomal and Genetic Variations (4 papers). Lucilla Pizzo is often cited by papers focused on Genomic variations and chromosomal abnormalities (5 papers), Genomics and Rare Diseases (4 papers) and Chromosomal and Genetic Variations (4 papers). Lucilla Pizzo collaborates with scholars based in United States, Uruguay and France. Lucilla Pizzo's co-authors include Santhosh Girirajan, Janani Iyer, Qingyu Wang, Matthew Jensen, Emily Huber, Thanh Le, Rubén Artero, Sebastian Grönke, Ashutosh Srivastava and Adrian M. Isaacs and has published in prestigious journals such as Nature Communications, Clinical Chemistry and PLoS Genetics.

In The Last Decade

Lucilla Pizzo

11 papers receiving 166 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lucilla Pizzo United States	6	105	68	24	23	22	11	168
Szi Kay Leung United Kingdom	5	199 1.9×	45 0.7×	12 0.5×	61 2.7×	19 0.9×	8	268
Vittoria Mariano Switzerland	6	76 0.7×	31 0.5×	7 0.3×	14 0.6×	38 1.7×	7	156
Natalie Wen United States	4	67 0.6×	22 0.3×	55 2.3×	43 1.9×	19 0.9×	7	209
Christopher P. Cali United States	3	181 1.7×	31 0.5×	30 1.3×	18 0.8×	21 1.0×	3	251
Fuhai Song China	10	79 0.8×	26 0.4×	37 1.5×	71 3.1×	16 0.7×	13	193
Andrew Jiang New Zealand	6	92 0.9×	40 0.6×	24 1.0×	11 0.5×	36 1.6×	9	172
Nicole L. Arruda United States	7	251 2.4×	44 0.6×	50 2.1×	62 2.7×	16 0.7×	11	352
Rashmi U. Pathak India	10	227 2.2×	28 0.4×	38 1.6×	52 2.3×	19 0.9×	19	310
Abigail L. Pfaff Australia	11	178 1.7×	57 0.8×	69 2.9×	17 0.7×	30 1.4×	33	276
Ana M. Claasen United States	7	74 0.7×	47 0.7×	9 0.4×	43 1.9×	27 1.2×	8	135

Countries citing papers authored by Lucilla Pizzo

Since Specialization

Citations

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

Fields of papers citing papers by Lucilla Pizzo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucilla Pizzo

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

All Works

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11 of 11 papers shown

Pizzo, Lucilla & M. Katharine Rudd. (2025). Structural Variation Interpretation in the Genome Sequencing Era: Lessons from Cytogenetics. Clinical Chemistry. 71(1). 119–128. 2 indexed citations

Pizzo, Lucilla, Micaela Lasser, Matthew Jensen, et al.. (2021). Functional assessment of the “two-hit” model for neurodevelopmental defects in Drosophila and X. laevis. PLoS Genetics. 17(4). e1009112–e1009112. 13 indexed citations

Jensen, Matthew, et al.. (2021). Combinatorial patterns of gene expression changes contribute to variable expressivity of the developmental delay-associated 16p12.1 deletion. Genome Medicine. 13(1). 163–163. 2 indexed citations

Jensen, Matthew, Lucilla Pizzo, Erika Gedvilaite, et al.. (2020). Drosophila models of pathogenic copy-number variant genes show global and non-neuronal defects during development. PLoS Genetics. 16(6). e1008792–e1008792. 8 indexed citations

Jensen, Matthew, Micaela Lasser, Emily Huber, et al.. (2020). NCBP2 modulates neurodevelopmental defects of the 3q29 deletion in Drosophila and Xenopus laevis models. PLoS Genetics. 16(2). e1008590–e1008590. 25 indexed citations

Iyer, Janani, Matthew Jensen, Payal T. Patel, et al.. (2018). Pervasive genetic interactions modulate neurodevelopmental defects of the autism-associated 16p11.2 deletion in Drosophila melanogaster. Nature Communications. 9(1). 2548–2548. 40 indexed citations

Girirajan, Santhosh, Lucilla Pizzo, John B. Moeschler, & Jill A. Rosenfeld. (2018). 16p12.2 Recurrent Deletion. Europe PMC (PubMed Central). 3 indexed citations

Iyer, Janani, Qingyu Wang, Thanh Le, et al.. (2016). Quantitative Assessment of Eye Phenotypes for Functional Genetic Studies Using Drosophila melanogaster. G3 Genes Genomes Genetics. 6(5). 1427–1437. 61 indexed citations

Pizzo, Lucilla, Joris Andrieux, David J. Amor, & Santhosh Girirajan. (2016). Clinical utility gene card for: 16p12.2 microdeletion. European Journal of Human Genetics. 25(2). 271–271. 4 indexed citations

10.

Pizzo, Lucilla, Andrés Iriarte, Fernando Álvarez-Valín, & Mónica Marı́n. (2015). Conservation of CFTR codon frequency through primates suggests synonymous mutations could have a functional effect. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 775. 19–25. 9 indexed citations

11.

Pizzo, Lucilla, et al.. (2014). An image analysis method to quantify CFTR subcellular localization. Molecular and Cellular Probes. 28(4). 175–180. 1 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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