Maria Francesca Bedeschi
- Developmental Biology top 5%
- Developmental Neuroscience top 10%
- Williams Syndrome Research 9
- Genetics top 5%
- Genomic variations and chromosomal abnormalities 14
- Genetics and Neurodevelopmental Disorders 11
- Connective tissue disorders research 8
- Genomics and Rare Diseases 6
- Genetic Syndromes and Imprinting 5
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- Prenatal Screening and Diagnostics 8
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- Congenital heart defects research 5
- Co-authors
- Faustina LalattaFederica NatacciMaría Clara BonagliaAngelo SelicorniRenato BorgattiMaria Teresa BassiFabio MoscaMatteo Porro
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Scientific Reports (1 paper)
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Maria Francesca Bedeschi
59 papers receiving 782 citations
Peers
Comparison fields: 5 of 83
- Developmental Biology 55
- Developmental Neuroscience 65
- Genetics 353
- Pediatrics, Perinatology and Child Health 212
- Neurology 78
Countries citing papers authored by Maria Francesca Bedeschi
This map shows the geographic impact of Maria Francesca Bedeschi'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 Maria Francesca Bedeschi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Francesca Bedeschi more than expected).
Fields of papers citing papers by Maria Francesca Bedeschi
This network shows the impact of papers produced by Maria Francesca Bedeschi. 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 Maria Francesca Bedeschi. The network helps show where Maria Francesca Bedeschi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maria Francesca Bedeschi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2020 | 9 | |
| 14 | 2017 | 6 | |
| 15 | 2017 | 2 | |
| 16 | 2015 | 2 | |
| 17 | 2013 | 36 | |
| 18 | 2012 | 6 | |
| 19 | High prevalence of impaired glucose metabolism in young adult patients with Williams syndrome | 2011 | 3 |
| 20 | 2007 | 5 |
About Maria Francesca Bedeschi
Maria Francesca Bedeschi is a scholar working on Developmental Neuroscience, Developmental Biology and Genetics, having authored 64 papers that have together received 811 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (14 papers), Genetics and Neurodevelopmental Disorders (11 papers), Williams Syndrome Research (9 papers), Connective tissue disorders research (8 papers), Prenatal Screening and Diagnostics (8 papers), Genomics and Rare Diseases (6 papers), Genetic Syndromes and Imprinting (5 papers) and Congenital heart defects research (5 papers). The work is most often cited by research in Developmental Biology (55 citations), Developmental Neuroscience (65 citations) and Genetics (353 citations). Maria Francesca Bedeschi has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Faustina Lalatta, Federica Natacci, María Clara Bonaglia, Angelo Selicorni, Renato Borgatti, Maria Teresa Bassi, Fabio Mosca, Matteo Porro, Donatella Milani and Elisa Cattaneo. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.