Mona Allouba
Impact in
-
- Williams Syndrome Research
-
- Cardiomyopathy and Myosin Studies
- Cardiovascular Function and Risk Factors
Papers in
-
- Congenital heart defects research 2
- Pluripotent Stem Cells Research 2
- RNA Research and Splicing 1
-
- Cardiomyopathy and Myosin Studies 3
- Cardiac Fibrosis and Remodeling 1
- Co-authors
- Magdi H. Yacoub (5 shared papers)Yasmine Aguib (5 shared papers)Ahmed ElGuindy (3 shared papers)Roddy Walsh (2 shared papers)Ayman M. Ibrahim (2 shared papers)James P. Pirruccello (1 shared paper)Massimo Gennarelli (1 shared paper)Connie R. Bezzina (1 shared paper)
- Journals
- International Journal of Molecular Sciences (1 paper)Circulation (1 paper)European Heart Journal (1 paper)Global Cardiology Science and Practice (2 papers)Nature Cardiovascular Research (1 paper)
- Partner nations
- United KingdomEgyptNetherlands
In The Last Decade
Mona Allouba
6 papers receiving 51 citations
Peers
Comparison fields: 5 of 24
- Developmental Neuroscience 6
- Cardiology and Cardiovascular Medicine 30
- Molecular Biology 36
- Immunology 6
- 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 | 21 | |
| 2 | 2020 | 11 | |
| 3 | 2023 | 7 | |
| 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, Epidemiology and Biomaterials, having authored 6 papers that have together received 52 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (3 papers), Congenital heart defects research (2 papers), Pluripotent Stem Cells Research (2 papers), Electrospun Nanofibers in Biomedical Applications (1 paper), Congenital Heart Disease Studies (1 paper), RNA Research and Splicing (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Cardiac Fibrosis and Remodeling (1 paper). The work is most often cited by research in Developmental Neuroscience (6 citations), Cardiology and Cardiovascular Medicine (30 citations), Molecular Biology (36 citations), Immunology (6 citations) and Virology (1 citation). Mona Allouba has collaborated with scholars based in United Kingdom, Egypt and Netherlands. Frequent co-authors include Magdi H. Yacoub, Yasmine Aguib, Ahmed ElGuindy, Roddy Walsh, Ayman M. Ibrahim, James P. Pirruccello, Massimo Gennarelli, Connie R. Bezzina, Navaneethakrishnan Krishnamoorthy and Christophe M. Raynaud. Their work appears in journals such as International Journal of Molecular Sciences, Circulation, European Heart Journal, 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.