Rabi Tawil
- Molecular Biology top 0.5%
- Cardiology and Cardiovascular Medicine top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Genetics top 0.2%
- Surgery top 5%
- Co-authors
- Silvère M. van der MaarelStephen J. TapscottRobert C. GriggsLouis J. PtáčekJeffrey StatlandLauren SniderRichard J.L.F. LemmersMichael McDermott
- Topics
- Muscle Physiology and Disorders (129 papers)Genetic Neurodegenerative Diseases (43 papers)Cardiomyopathy and Myosin Studies (42 papers)
- Journals
- ScienceCellNucleic Acids Research
- Partner nations
- United StatesNetherlandsFrance
In The Last Decade
Rabi Tawil
192 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 9.8k
- Cardiology and Cardiovascular Medicine 3.6k
- Cellular and Molecular Neuroscience 2.6k
- Genetics 2.5k
- Surgery 1.0k
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 of co-authors of Rabi Tawil
This figure shows the co-authorship network connecting the top 25 collaborators of Rabi Tawil. A scholar is included among the top collaborators of Rabi Tawil 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 Rabi Tawil. Rabi Tawil 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 | 10 | |
| 3 | 3 | |
| 4 | 32 | |
| 5 | 19 | |
| 6 | 10 | |
| 7 | 23 | |
| 8 | 28 | |
| 9 | 23 | |
| 10 | 4 | |
| 11 | 161 | |
| 12 | 21 | |
| 13 | 66 | |
| 14 | 95 | |
| 15 | A Unifying Genetic Model for Facioscapulohumeral Muscular Dystrophybreakdown → | 528 |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 112 | |
| 19 | 87 | |
| 20 | 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) and Cardiomyopathy and Myosin Studies (42 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.