Rita Perlingeiro
Impact in
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- Neurogenetic and Muscular Disorders Research
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- Muscle Physiology and Disorders
- RNA Research and Splicing
- Pluripotent Stem Cells Research
- RNA modifications and cancer
- CRISPR and Genetic Engineering
Papers in
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- Muscle Physiology and Disorders 4
- Congenital heart defects research 3
- Pluripotent Stem Cells Research 3
- CRISPR and Genetic Engineering 3
- Angiogenesis and VEGF in Cancer 2
- Epigenetics and DNA Methylation 1
- Cancer-related gene regulation 1
- Genetics 2
- Co-authors
- Michael Kyba (4 shared papers)Alessandro Magli (4 shared papers)Zhaohui Xu (1 shared paper)Alexandra Belayew (1 shared paper)Harold R. Garner (1 shared paper)Mingju Liu (1 shared paper)Eun Ji Gang (1 shared paper)Frédérique Coppée (1 shared paper)
- Journals
- Molecular Therapy (1 paper)The EMBO Journal (1 paper)BMC Biology (1 paper)Seminars in Cell and Developmental Biology (1 paper)Stem Cell Reports (1 paper)
- Partner nations
- United StatesBelgiumSpain
In The Last Decade
Rita Perlingeiro
8 papers receiving 381 citations
Peers
Comparison fields: 5 of 37
- Genetics 66
- Molecular Biology 373
- Cardiology and Cardiovascular Medicine 54
- Aging 4
- Cellular and Molecular Neuroscience 38
Countries citing papers authored by Rita Perlingeiro
This map shows the geographic impact of Rita Perlingeiro'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 Rita Perlingeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Perlingeiro more than expected).
Fields of papers citing papers by Rita Perlingeiro
This network shows the impact of papers produced by Rita Perlingeiro. 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 Rita Perlingeiro. The network helps show where Rita Perlingeiro may publish in the future.
Co-authors
The 25 scholars most cited alongside Rita Perlingeiro, 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 | 2008 | 250 | |
| 2 | 2017 | 36 | |
| 3 | 2017 | 27 | |
| 4 | 2022 | 25 | |
| 5 | 2016 | 22 | |
| 6 | 2013 | 20 | |
| 7 | 2016 | 2 | |
| 8 | 2004 | 1 |
About Rita Perlingeiro
Rita Perlingeiro is a scholar working on Molecular Biology, Genetics, Surgery, Obstetrics and Gynecology and Hematology, having authored 8 papers that have together received 383 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (4 papers), Congenital heart defects research (3 papers), Pluripotent Stem Cells Research (3 papers), CRISPR and Genetic Engineering (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Epigenetics and DNA Methylation (1 paper), Cancer-related gene regulation (1 paper) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Genetics (66 citations), Molecular Biology (373 citations), Cardiology and Cardiovascular Medicine (54 citations), Aging (4 citations) and Cellular and Molecular Neuroscience (38 citations). Rita Perlingeiro has collaborated with scholars based in United States, Belgium and Spain. Frequent co-authors include Michael Kyba, Alessandro Magli, Zhaohui Xu, Alexandra Belayew, Harold R. Garner, Mingju Liu, Eun Ji Gang, Frédérique Coppée, Darko Bosnakovski and Alexandra Tassin. Their work appears in journals such as Molecular Therapy, The EMBO Journal, BMC Biology, Seminars in Cell and Developmental Biology and Stem Cell Reports.
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.