Maria C. Marchetto
- Molecular Biology top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Genetics top 1%
- Plant Science top 1%
- Neurology top 0.2%
- Co-authors
- Fred H. GageBeate WinnerAlysson R. MuotriChristopher K. GlassKaoru SaijoG YeoYangling MuNicole G. Coufal
- Topics
- CRISPR and Genetic Engineering (26 papers)Pluripotent Stem Cells Research (26 papers)Genetics and Neurodevelopmental Disorders (13 papers)
- Partner nations
- United StatesBrazilFrance
In The Last Decade
Maria C. Marchetto
74 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 6.6k
- Cellular and Molecular Neuroscience 1.7k
- Genetics 1.7k
- Plant Science 1.6k
- Neurology 1.6k
Countries citing papers authored by Maria C. Marchetto
This map shows the geographic impact of Maria C. Marchetto'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 C. Marchetto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria C. Marchetto more than expected).
Fields of papers citing papers by Maria C. Marchetto
This network shows the impact of papers produced by Maria C. Marchetto. 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 C. Marchetto. The network helps show where Maria C. Marchetto may publish in the future.
Co-authorship network of co-authors of Maria C. Marchetto
This figure shows the co-authorship network connecting the top 25 collaborators of Maria C. Marchetto. A scholar is included among the top collaborators of Maria C. Marchetto 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 Maria C. Marchetto. Maria C. Marchetto 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 | 1 | |
| 3 | 168 | |
| 4 | 99 | |
| 5 | 33 | |
| 6 | 159 | |
| 7 | 1 | |
| 8 | 137 | |
| 9 | 116 | |
| 10 | 76 | |
| 11 | 173 | |
| 12 | 138 | |
| 13 | Mechanisms Underlying Inflammation in Neurodegenerationbreakdown → | 2837 |
| 14 | A Model for Neural Development and Treatment of Rett Syndrome Using Human Induced Pluripotent Stem Cellsbreakdown → | 963 |
| 15 | L1 retrotransposition in neurons is modulated by MeCP2breakdown → | 467 |
| 16 | 353 | |
| 17 | 100 | |
| 18 | 170 | |
| 19 | Somatic mosaicism in neuronal precursor cells mediated by L1 retrotranspositionbreakdown → | 683 |
| 20 | 12 |
About Maria C. Marchetto
Maria C. Marchetto is a scholar working on Developmental Neuroscience, Biological Psychiatry and Molecular Biology, having authored 75 papers that have together received 10.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (26 papers), Pluripotent Stem Cells Research (26 papers) and Genetics and Neurodevelopmental Disorders (13 papers). The work is most often cited by research in Developmental Neuroscience (1.1k citations), Neurology (1.6k citations) and Biological Psychiatry (368 citations). Maria C. Marchetto has collaborated with scholars based in United States, Brazil and France. Frequent co-authors include Fred H. Gage, Beate Winner, Alysson R. Muotri, Christopher K. Glass, Kaoru Saijo, G Yeo, Yangling Mu, Nicole G. Coufal, Diana Yu and John V. Moran. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.