Anthony Leotta
Impact in
- Cognitive Neuroscience top 5%
- Autism Spectrum Disorder Research
- Genetics top 5%
- Genetics and Neurodevelopmental Disorders
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
Papers in
- Genetics 7
- Genomic variations and chromosomal abnormalities 7
- Genomics and Rare Diseases 1
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- Gene expression and cancer classification 3
- Congenital heart defects research 2
- Genomics and Chromatin Dynamics 1
- Epigenetics and DNA Methylation 1
- Co-authors
- Michael Wigler (7 shared papers)Kenny Ye (3 shared papers)Jude Kendall (5 shared papers)Linda Rodgers (2 shared papers)Dan Levy (4 shared papers)Boris Yamrom (4 shared papers)Michael Ronemus (4 shared papers)B. Lakshmi (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)G3 Genes Genomes Genetics (1 paper)Human Genetics (1 paper)Neuron (1 paper)Genome Research (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Anthony Leotta
8 papers receiving 897 citations
Anthony Leotta's Hit Papers
Peers
Comparison fields: 5 of 64
- Cognitive Neuroscience 466
- Genetics 538
- Developmental Neuroscience 28
- Cancer Research 88
- Molecular Biology 391
Countries citing papers authored by Anthony Leotta
This map shows the geographic impact of Anthony Leotta'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 Anthony Leotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Leotta more than expected).
Fields of papers citing papers by Anthony Leotta
This network shows the impact of papers produced by Anthony Leotta. 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 Anthony Leotta. The network helps show where Anthony Leotta may publish in the future.
Co-authors
The 25 scholars most cited alongside Anthony Leotta, 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 | Rare De Novo and Transmitted Copy-Number Variation in Autistic Spectrum Disorders Hit paper breakdown → | 2011 | 488 |
| 2 | 2007 | 225 | |
| 3 | 2015 | 87 | |
| 4 | 2013 | 80 | |
| 5 | 2006 | 23 | |
| 6 | 2011 | 7 | |
| 7 | 2011 | 4 | |
| 8 | RareDeNovoandTransmittedCopy-NumberVariation in Autistic Spectrum Disorders | 2011 | 1 |
About Anthony Leotta
Anthony Leotta is a scholar working on Genetics, Molecular Biology, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience and Epidemiology, having authored 8 papers that have together received 915 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (7 papers), Gene expression and cancer classification (3 papers), Prenatal Screening and Diagnostics (2 papers), Congenital heart defects research (2 papers), Genomics and Chromatin Dynamics (1 paper), Genomics and Rare Diseases (1 paper), Epigenetics and DNA Methylation (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cognitive Neuroscience (466 citations), Genetics (538 citations), Developmental Neuroscience (28 citations), Cancer Research (88 citations) and Molecular Biology (391 citations). Anthony Leotta has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Michael Wigler, Kenny Ye, Jude Kendall, Linda Rodgers, Dan Levy, Boris Yamrom, Michael Ronemus, B. Lakshmi, Ivan Iossifov and Andreas Buja. Their work appears in journals such as Proceedings of the National Academy of Sciences, G3 Genes Genomes Genetics, Human Genetics, Neuron and Genome 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.