Maria E Sousa
Impact in
- Ophthalmology top 5%
- Retinal Diseases and Treatments
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- Retinal Development and Disorders
- CRISPR and Genetic Engineering
- RNA regulation and disease
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- RNA regulation and disease 4
- Retinal Development and Disorders 4
- RNA and protein synthesis mechanisms 2
- Single-cell and spatial transcriptomics 1
- Co-authors
- Michael H. Farkas (7 shared papers)Eric A. Pierce (5 shared papers)Mark Consugar (2 shared papers)Gregory R. Grant (1 shared paper)Joseph White (1 shared paper)Elizabeth D. Au (4 shared papers)Kinga M. Bujakowska (2 shared papers)Emily Place (1 shared paper)
- Journals
- Investigative Ophthalmology & Visual Science (2 papers)Translational Vision Science & Technology (1 paper)BMC Genomics (1 paper)PLoS Genetics (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- United StatesSpainBrazil
In The Last Decade
Maria E Sousa
9 papers receiving 422 citations
Peers
Comparison fields: 5 of 58
- Ophthalmology 133
- Molecular Biology 351
- Genetics 108
- Cancer Research 40
- Cell Biology 34
Countries citing papers authored by Maria E Sousa
This map shows the geographic impact of Maria E Sousa'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 E Sousa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria E Sousa more than expected).
Fields of papers citing papers by Maria E Sousa
This network shows the impact of papers produced by Maria E Sousa. 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 E Sousa. The network helps show where Maria E Sousa may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria E Sousa, 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 | 2014 | 179 | |
| 2 | 2013 | 120 | |
| 3 | 2014 | 53 | |
| 4 | 2018 | 35 | |
| 5 | 2015 | 23 | |
| 6 | 2017 | 7 | |
| 7 | 2022 | 7 | |
| 8 | 1990 | 6 | |
| 9 | Transcriptome analyses reveal minimal aberrant splicing in mouse models of RNA splicing factor retinitis pigmentosa | 2014 | 1 |
| 10 | Improved understanding of the disease mechanism of steroid induced glaucoma using gene editing techniques | 2017 | 0 |
About Maria E Sousa
Maria E Sousa is a scholar working on Molecular Biology, Ophthalmology, Cancer Research, Infectious Diseases and Pharmacology, having authored 10 papers that have together received 431 indexed citations. Recurring topics across this work include RNA regulation and disease (4 papers), Retinal Development and Disorders (4 papers), RNA and protein synthesis mechanisms (2 papers), Cancer-related molecular mechanisms research (2 papers), interferon and immune responses (1 paper), Single-cell and spatial transcriptomics (1 paper), MicroRNA in disease regulation (1 paper) and Apelin-related biomedical research (1 paper). The work is most often cited by research in Ophthalmology (133 citations), Molecular Biology (351 citations), Genetics (108 citations), Cancer Research (40 citations) and Cell Biology (34 citations). Maria E Sousa has collaborated with scholars based in United States, Spain and Brazil. Frequent co-authors include Michael H. Farkas, Eric A. Pierce, Mark Consugar, Gregory R. Grant, Joseph White, Elizabeth D. Au, Kinga M. Bujakowska, Emily Place, Daniel Navarro-Gomez and Dan Yi Wang. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Translational Vision Science & Technology, BMC Genomics, PLoS Genetics and American Journal Of Pathology.
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.