Lucia Pucci
- Genetics top 10%
- Molecular Biology
- Pediatrics, Perinatology and Child Health
- Cellular and Molecular Neuroscience
- Plant Science
- Co-authors
- Salvatore GrossoG MorgeseSabrina BuoniA. FoisCecilia AnichiniRosario BerardiPaolo BalestriG. Bartalini
- Topics
- Genomic variations and chromosomal abnormalities (11 papers)Genetics and Neurodevelopmental Disorders (10 papers)Genetic Syndromes and Imprinting (5 papers)
- Partner nations
- ItalyUnited States
In The Last Decade
Lucia Pucci
21 papers receiving 280 citations
Peers
Comparison fields: 5 of 48
- Genetics 210
- Molecular Biology 143
- Pediatrics, Perinatology and Child Health 54
- Cellular and Molecular Neuroscience 51
- Plant Science 25
Countries citing papers authored by Lucia Pucci
This map shows the geographic impact of Lucia Pucci'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 Lucia Pucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucia Pucci more than expected).
Fields of papers citing papers by Lucia Pucci
This network shows the impact of papers produced by Lucia Pucci. 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 Lucia Pucci. The network helps show where Lucia Pucci may publish in the future.
Co-authorship network of co-authors of Lucia Pucci
This figure shows the co-authorship network connecting the top 25 collaborators of Lucia Pucci. A scholar is included among the top collaborators of Lucia Pucci 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 Lucia Pucci. Lucia Pucci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 12 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 20 | |
| 6 | 28 | |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 16 | |
| 10 | 47 | |
| 11 | 6 | |
| 12 | 14 | |
| 13 | 7 | |
| 14 | 17 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 48 | |
| 18 | 15 | |
| 19 | [Correlation of the clinical phenotype with a pericentric inversion of chromosome 9]. | 10 |
| 20 | [Correlations between karyotype and phenotype in structural and numerical abnormalities of chromosome 18]. | 2 |
About Lucia Pucci
Lucia Pucci is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and Cell Biology, having authored 21 papers that have together received 286 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (11 papers), Genetics and Neurodevelopmental Disorders (10 papers) and Genetic Syndromes and Imprinting (5 papers). The work is most often cited by research in Genetics (210 citations), Cellular and Molecular Neuroscience (51 citations) and Pediatrics, Perinatology and Child Health (54 citations). Lucia Pucci has collaborated with scholars based in Italy and United States. Frequent co-authors include Salvatore Grosso, G Morgese, Sabrina Buoni, A. Fois, Cecilia Anichini, Rosario Berardi, Paolo Balestri, G. Bartalini, Daniela Galimberti and Raffaella Zannolli. Their work appears in journals such as Obstetrics and Gynecology, Developmental Medicine & Child Neurology and Epilepsy Research.
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.