Mona Allouba
Impact in
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- Cardiomyopathy and Myosin Studies
- Cardiovascular Function and Risk Factors
- Cardiovascular Effects of Exercise
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- Williams Syndrome Research
Papers in
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- Pluripotent Stem Cells Research 2
- CRISPR and Genetic Engineering 1
- 14-3-3 protein interactions 1
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- Cardiomyopathy and Myosin Studies 3
- Cardiovascular Function and Risk Factors 1
- Co-authors
- Magdi H. Yacoub (5 shared papers)Yasmine Aguib (5 shared papers)Ahmed ElGuindy (3 shared papers)Roddy Walsh (2 shared papers)Massimo Gennarelli (1 shared paper)Aya Galal (2 shared papers)Mohamed El‐Khatib (1 shared paper)Francesco Mazzarotto (1 shared paper)
- Journals
- European Heart Journal (1 paper)Circulation (1 paper)International Journal of Molecular Sciences (1 paper)Global Cardiology Science and Practice (2 papers)Nature Cardiovascular Research (1 paper)
- Partner nations
- EgyptUnited KingdomUnited States
In The Last Decade
Mona Allouba
6 papers receiving 59 citations
Peers
Comparison fields: 5 of 26
- Cardiology and Cardiovascular Medicine 31
- Developmental Neuroscience 5
- Molecular Biology 32
- Immunology 7
- Virology 1
Countries citing papers authored by Mona Allouba
This map shows the geographic impact of Mona Allouba'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 Mona Allouba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mona Allouba more than expected).
Fields of papers citing papers by Mona Allouba
This network shows the impact of papers produced by Mona Allouba. 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 Mona Allouba. The network helps show where Mona Allouba may publish in the future.
Co-authors
The 25 scholars most cited alongside Mona Allouba, 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 | 2023 | 25 | |
| 2 | 2020 | 13 | |
| 3 | 2023 | 9 | |
| 4 | 2015 | 7 | |
| 5 | 2014 | 5 | |
| 6 | 2022 | 1 |
About Mona Allouba
Mona Allouba is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Biomaterials and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 60 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (3 papers), Pluripotent Stem Cells Research (2 papers), Cardiovascular Function and Risk Factors (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper), CRISPR and Genetic Engineering (1 paper), Tissue Engineering and Regenerative Medicine (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (31 citations), Developmental Neuroscience (5 citations), Molecular Biology (32 citations), Immunology (7 citations) and Virology (1 citation). Mona Allouba has collaborated with scholars based in Egypt, United Kingdom and United States. Frequent co-authors include Magdi H. Yacoub, Yasmine Aguib, Ahmed ElGuindy, Roddy Walsh, Massimo Gennarelli, Aya Galal, Mohamed El‐Khatib, Francesco Mazzarotto, Navaneethakrishnan Krishnamoorthy and Alaa Afify. Their work appears in journals such as European Heart Journal, Circulation, International Journal of Molecular Sciences, Global Cardiology Science and Practice and Nature Cardiovascular 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.