Soumaya Ben‐Aicha
- Molecular Biology
- Surgery
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Gemma VilahurLina BadimónGuiomar MendietaTeresa PadróLaura CasaníManuel GutiérrezMonika AržanauskaitėManel Sabaté
- Topics
- Cardiac Imaging and Diagnostics (7 papers)Lipoproteins and Cardiovascular Health (5 papers)Extracellular vesicles in disease (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyScientific Reports
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Soumaya Ben‐Aicha
32 papers receiving 703 citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 208
- Surgery 186
- Cardiology and Cardiovascular Medicine 176
- Epidemiology 119
- Endocrinology, Diabetes and Metabolism 108
Countries citing papers authored by Soumaya Ben‐Aicha
This map shows the geographic impact of Soumaya Ben‐Aicha'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 Soumaya Ben‐Aicha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soumaya Ben‐Aicha more than expected).
Fields of papers citing papers by Soumaya Ben‐Aicha
This network shows the impact of papers produced by Soumaya Ben‐Aicha. 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 Soumaya Ben‐Aicha. The network helps show where Soumaya Ben‐Aicha may publish in the future.
Co-authorship network of co-authors of Soumaya Ben‐Aicha
This figure shows the co-authorship network connecting the top 25 collaborators of Soumaya Ben‐Aicha. A scholar is included among the top collaborators of Soumaya Ben‐Aicha 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 Soumaya Ben‐Aicha. Soumaya Ben‐Aicha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 13 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 16 | |
| 15 | 28 | |
| 16 | 26 | |
| 17 | 36 | |
| 18 | 23 | |
| 19 | 43 | |
| 20 | 153 |
About Soumaya Ben‐Aicha
Soumaya Ben‐Aicha is a scholar working on Health Informatics, Cardiology and Cardiovascular Medicine and Physiology, having authored 37 papers that have together received 711 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (7 papers), Lipoproteins and Cardiovascular Health (5 papers) and Extracellular vesicles in disease (5 papers). The work is most often cited by research in Internal Medicine (38 citations), Cardiology and Cardiovascular Medicine (176 citations) and Cancer Research (100 citations). Soumaya Ben‐Aicha has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Gemma Vilahur, Lina Badimón, Guiomar Mendieta, Teresa Padró, Laura Casaní, Manuel Gutiérrez, Monika Aržanauskaitė, Manel Sabaté, Esther Peña and Costanza Emanueli. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Scientific 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.