Rabi Tawil
- Genetics top 0.2%
- Neurogenetic and Muscular Disorders Research 35
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- Cardiomyopathy and Myosin Studies 42
- Cardiac electrophysiology and arrhythmias 19
- Cellular and Molecular Neuroscience top 0.5%
- Genetic Neurodegenerative Diseases 43
- Molecular Biology top 0.5%
- Muscle Physiology and Disorders 129
- RNA Research and Splicing 34
- Ion channel regulation and function 26
- RNA modifications and cancer 25
- Neurology top 2%
- Co-authors
- Silvère M. van der MaarelStephen J. TapscottRobert C. GriggsLouis J. PtáčekJeffrey StatlandLauren SniderRichard J.L.F. LemmersMichael McDermott
- Partner nations
- United StatesNetherlandsFrance
In The Last Decade
Rabi Tawil
192 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Genetics 2.5k
- Cardiology and Cardiovascular Medicine 3.6k
- Cellular and Molecular Neuroscience 2.6k
- Molecular Biology 9.8k
- Neurology 735
Countries citing papers authored by Rabi Tawil
This map shows the geographic impact of Rabi Tawil'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 Rabi Tawil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rabi Tawil more than expected).
Fields of papers citing papers by Rabi Tawil
This network shows the impact of papers produced by Rabi Tawil. 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 Rabi Tawil. The network helps show where Rabi Tawil may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rabi Tawil, 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 | 2024 | 0 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 32 | |
| 5 | 2021 | 19 | |
| 6 | 2021 | 10 | |
| 7 | 2020 | 23 | |
| 8 | 2019 | 28 | |
| 9 | 2019 | 23 | |
| 10 | 2018 | 4 | |
| 11 | 2014 | 161 | |
| 12 | 2014 | 21 | |
| 13 | 2012 | 66 | |
| 14 | 2011 | 95 | |
| 15 | A Unifying Genetic Model for Facioscapulohumeral Muscular Dystrophybreakdown → | 2010 | 528 |
| 16 | 2010 | 1 | |
| 17 | 2007 | 3 | |
| 18 | 2006 | 112 | |
| 19 | 2006 | 87 | |
| 20 | 1993 | 7 |
About Rabi Tawil
Rabi Tawil is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 196 papers that have together received 11.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (129 papers), Genetic Neurodegenerative Diseases (43 papers), Cardiomyopathy and Myosin Studies (42 papers), Neurogenetic and Muscular Disorders Research (35 papers), RNA Research and Splicing (34 papers), Ion channel regulation and function (26 papers), RNA modifications and cancer (25 papers) and Cardiac electrophysiology and arrhythmias (19 papers). The work is most often cited by research in Genetics (2.5k citations), Cardiology and Cardiovascular Medicine (3.6k citations) and Cellular and Molecular Neuroscience (2.6k citations). Rabi Tawil has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Silvère M. van der Maarel, Stephen J. Tapscott, Robert C. Griggs, Louis J. Ptáček, Jeffrey Statland, Lauren Snider, Richard J.L.F. Lemmers, Michael McDermott, Charles A. Thornton and Stephen Welle. Their work appears in journals such as Science, Cell and Nucleic Acids Research.
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.