Elena Maestrini
- Genetics top 1%
- Genetics and Neurodevelopmental Disorders 23
- Genomic variations and chromosomal abnormalities 17
- Sensory Systems top 2%
- Reproductive Medicine top 2%
- Cognitive Neuroscience top 2%
- Autism Spectrum Disorder Research 28
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 4
- RNA Research and Splicing 4
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- Child Development and Digital Technology 4
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- Virology and Viral Diseases 3
- Co-authors
- Daniela TonioloSilvia BioneStefano RivellaAnthony P. MonacoMita ManciniElena BacchelliStefano RegisGiovanni Romeo
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Elena Maestrini
49 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Genetics 1.5k
- Sensory Systems 241
- Reproductive Medicine 364
- Cognitive Neuroscience 792
- Molecular Biology 2.5k
Countries citing papers authored by Elena Maestrini
This map shows the geographic impact of Elena Maestrini'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 Elena Maestrini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Maestrini more than expected).
Fields of papers citing papers by Elena Maestrini
This network shows the impact of papers produced by Elena Maestrini. 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 Elena Maestrini. The network helps show where Elena Maestrini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Elena Maestrini, 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 | 2024 | 10 | |
| 2 | 2020 | 37 | |
| 3 | 2019 | 12 | |
| 4 | 2014 | 18 | |
| 5 | 2010 | 64 | |
| 6 | 2009 | 19 | |
| 7 | 2009 | 138 | |
| 8 | A gene centric association study of 1500 SNPs in the chromosome 2q autism susceptibility locus | 2006 | 1 |
| 9 | 2006 | 70 | |
| 10 | 2005 | 38 | |
| 11 | 2003 | 97 | |
| 12 | 2002 | 32 | |
| 13 | 1999 | 213 | |
| 14 | 1999 | 128 | |
| 15 | A novel X-linked gene, G4.5. is responsible for Barth syndromebreakdown → | 1996 | 565 |
| 16 | 1996 | 176 | |
| 17 | 1994 | 16 | |
| 18 | 1993 | 64 | |
| 19 | 1992 | 20 | |
| 20 | 1991 | 11 |
About Elena Maestrini
Elena Maestrini is a scholar working on Cognitive Neuroscience, Genetics and Sensory Systems, having authored 49 papers that have together received 4.2k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (28 papers), Genetics and Neurodevelopmental Disorders (23 papers), Genomic variations and chromosomal abnormalities (17 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers), Child Development and Digital Technology (4 papers), RNA Research and Splicing (4 papers) and Virology and Viral Diseases (3 papers). The work is most often cited by research in Genetics (1.5k citations), Sensory Systems (241 citations) and Reproductive Medicine (364 citations). Elena Maestrini has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Daniela Toniolo, Silvia Bione, Stefano Rivella, Anthony P. Monaco, Mita Mancini, Elena Bacchelli, Stefano Regis, Giovanni Romeo, Patrizia D’Adamo and Ági K. Gedeon. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids 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.