Sandy Elbitar
Impact in
- Surgery top 10%
- Lipoproteins and Cardiovascular Health
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Surgery 13
- Lipoproteins and Cardiovascular Health 12
- Cholesterol and Lipid Metabolism 2
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- Lipid metabolism and disorders 2
- Cardiomyopathy and Myosin Studies 2
- Co-authors
- Cathérine Boileau (12 shared papers)Mathilde VARRET (11 shared papers)Youmna Ghaleb (11 shared papers)Petra El Khoury (11 shared papers)Marianne Abifadel (12 shared papers)Jean‐Pierre Rabès (6 shared papers)Melody Chemaly (1 shared paper)Nabil Georges Seidah (2 shared papers)
In The Last Decade
Sandy Elbitar
15 papers receiving 481 citations
Sandy Elbitar's Hit Papers
Peers
Comparison fields: 5 of 53
- Surgery 369
- Endocrinology, Diabetes and Metabolism 80
- Cancer Research 70
- Cardiology and Cardiovascular Medicine 58
- Computational Theory and Mathematics 29
Countries citing papers authored by Sandy Elbitar
This map shows the geographic impact of Sandy Elbitar'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 Sandy Elbitar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandy Elbitar more than expected).
Fields of papers citing papers by Sandy Elbitar
This network shows the impact of papers produced by Sandy Elbitar. 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 Sandy Elbitar. The network helps show where Sandy Elbitar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandy Elbitar, 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 | Global perspective of familial hypercholesterolaemia: a cross-sectional study from the EAS Familial Hypercholesterolaemia Studies Collaboration (FHSC) Hit paper breakdown → | 2021 | 227 |
| 2 | 2014 | 87 | |
| 3 | 2020 | 35 | |
| 4 | 2017 | 31 | |
| 5 | 2018 | 28 | |
| 6 | 2016 | 24 | |
| 7 | 2018 | 21 | |
| 8 | 2017 | 16 | |
| 9 | 2018 | 11 | |
| 10 | 2021 | 4 | |
| 11 | 2018 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2017 | 1 |
About Sandy Elbitar
Sandy Elbitar is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Biotechnology, having authored 15 papers that have together received 494 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Cholesterol and Lipid Metabolism (2 papers), Lipid metabolism and disorders (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Genetic factors in colorectal cancer (2 papers), Melanoma and MAPK Pathways (1 paper) and Connective tissue disorders research (1 paper). The work is most often cited by research in Surgery (369 citations), Endocrinology, Diabetes and Metabolism (80 citations), Cancer Research (70 citations), Cardiology and Cardiovascular Medicine (58 citations) and Computational Theory and Mathematics (29 citations). Sandy Elbitar has collaborated with scholars based in France, Lebanon and Canada. Frequent co-authors include Cathérine Boileau, Mathilde VARRET, Youmna Ghaleb, Petra El Khoury, Marianne Abifadel, Jean‐Pierre Rabès, Melody Chemaly, Nabil Georges Seidah, Éric Bruckert and Valérie Carreau. Their work appears in journals such as Scientific Reports, Current Atherosclerosis Reports, Genetics in Medicine, European Journal of Human Genetics and Diabetes Obesity and Metabolism.
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.