Maria E Sousa
Impact in
- Ophthalmology top 5%
- Retinal Diseases and Treatments
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- Retinal Development and Disorders
- RNA regulation and disease
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- RNA modifications and cancer
Papers in
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- Parasites and Host Interactions 1
- Co-authors
- Michael H. Farkas (6 shared papers)Eric A. Pierce (4 shared papers)Mark B. Consugar (2 shared papers)Gregory R. Grant (1 shared paper)Joseph Robert White (1 shared paper)Elizabeth D. Au (3 shared papers)Xiaowu Gai (2 shared papers)Daniel G. Taub (1 shared paper)
- Journals
- Investigative Ophthalmology & Visual Science (2 papers)Genetics in Medicine (1 paper)Translational Vision Science & Technology (1 paper)BMC Genomics (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Maria E Sousa
8 papers receiving 458 citations
Peers
Comparison fields: 5 of 52
- Ophthalmology 101
- Molecular Biology 330
- Genetics 97
- Sensory Systems 12
- Cancer Research 32
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 | 209 | |
| 2 | 2013 | 133 | |
| 3 | 2014 | 61 | |
| 4 | 2018 | 37 | |
| 5 | 2017 | 9 | |
| 6 | 2022 | 9 | |
| 7 | 1990 | 6 | |
| 8 | Transcriptome analyses reveal minimal aberrant splicing in mouse models of RNA splicing factor retinitis pigmentosa | 2014 | 1 |
| 9 | 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 Parasitology, Ophthalmology, Molecular Biology, Cancer Research and Health, Toxicology and Mutagenesis, having authored 9 papers that have together received 465 indexed citations. Recurring topics across this work include RNA regulation and disease (3 papers), Retinal Development and Disorders (2 papers), Parasitic Diseases Research and Treatment (1 paper), Corneal surgery and disorders (1 paper), Cancer-related molecular mechanisms research (1 paper), RNA Research and Splicing (1 paper), Parasites and Host Interactions (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Ophthalmology (101 citations), Molecular Biology (330 citations), Genetics (97 citations), Sensory Systems (12 citations) and Cancer Research (32 citations). Maria E Sousa has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Michael H. Farkas, Eric A. Pierce, Mark B. Consugar, Gregory R. Grant, Joseph Robert White, Elizabeth D. Au, Xiaowu Gai, Daniel G. Taub, Daniel Navarro-Gomez and Katherine B. Sims. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Genetics in Medicine, Translational Vision Science & Technology, BMC Genomics 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.