Mayana Zatz
- Molecular Biology top 0.5%
- Genetics top 0.2%
- Cellular and Molecular Neuroscience top 0.5%
- Cardiology and Cardiovascular Medicine top 1%
- Genetics top 1%
- Co-authors
- Maria Rita Passos‐BuenoMariz VainzofNatássia M. VieiraAlessandra StarlingEder ZucconiRita C.M. PavanelloMariane SeccoSuely Kazue Nagahashi Marie
- Topics
- Muscle Physiology and Disorders (149 papers)Genetic Neurodegenerative Diseases (48 papers)Neurogenetic and Muscular Disorders Research (44 papers)
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Mayana Zatz
332 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 6.2k
- Genetics 2.1k
- Cellular and Molecular Neuroscience 1.9k
- Cardiology and Cardiovascular Medicine 1.4k
- Genetics 1.3k
Countries citing papers authored by Mayana Zatz
This map shows the geographic impact of Mayana Zatz'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 Mayana Zatz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayana Zatz more than expected).
Fields of papers citing papers by Mayana Zatz
This network shows the impact of papers produced by Mayana Zatz. 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 Mayana Zatz. The network helps show where Mayana Zatz may publish in the future.
Co-authorship network of co-authors of Mayana Zatz
This figure shows the co-authorship network connecting the top 25 collaborators of Mayana Zatz. A scholar is included among the top collaborators of Mayana Zatz 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 Mayana Zatz. Mayana Zatz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 5 | |
| 11 | 54 | |
| 12 | 87 | |
| 13 | 6 | |
| 14 | 8 | |
| 15 | Screening for mutations in the C-terminal region of RYR1 gene identify high frequency of autosomal recessive form of central core disease (CCD) in Brazil | 0 |
| 16 | 38 | |
| 17 | Establishment of a muscular dystrophy dog colony in Brazil | 3 |
| 18 | Association of schizophrenia and becker dystrophy ( bmd ): a susceptibility locus for schizophrenia at xp21 or an effect of the dystrophin gene in the brain | 2 |
| 19 | 10 | |
| 20 | 13 |
About Mayana Zatz
Mayana Zatz is a scholar working on Genetics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 344 papers that have together received 9.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (149 papers), Genetic Neurodegenerative Diseases (48 papers) and Neurogenetic and Muscular Disorders Research (44 papers). The work is most often cited by research in Genetics (2.1k citations), Cellular and Molecular Neuroscience (1.9k citations) and Molecular Biology (6.2k citations). Mayana Zatz has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Maria Rita Passos‐Bueno, Mariz Vainzof, Natássia M. Vieira, Alessandra Starling, Eder Zucconi, Rita C.M. Pavanello, Mariane Secco, Suely Kazue Nagahashi Marie, Tatiana Jazedje and Eloísa S. Moreira. Their work appears in journals such as Science, New England Journal of Medicine and Cell.
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.