Sofie Bekaert
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 2%
- Telomeres, Telomerase, and Senescence
Papers in
- Physiology 22
- Telomeres, Telomerase, and Senescence 20
- Co-authors
- Tim De Meyer (26 shared papers)Marc De Buyzere (29 shared papers)Ernst Rietzschel (28 shared papers)Wim Van Criekinge (15 shared papers)Patrick Van Oostveldt (11 shared papers)Thierry Gillebert (23 shared papers)Dirk De Bacquer (16 shared papers)Guy De Backer (15 shared papers)
- Journals
- Circulation (4 papers)Aging Cell (3 papers)PLoS ONE (3 papers)The Journal of Pathology (2 papers)Frontiers in Medicine (2 papers)
- Partner nations
- BelgiumUnited StatesSpain
In The Last Decade
Sofie Bekaert
54 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 135
- Aging 270
- Physiology 900
- Cardiology and Cardiovascular Medicine 357
- Molecular Biology 779
- Geriatrics and Gerontology 39
Countries citing papers authored by Sofie Bekaert
This map shows the geographic impact of Sofie Bekaert'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 Sofie Bekaert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofie Bekaert more than expected).
Fields of papers citing papers by Sofie Bekaert
This network shows the impact of papers produced by Sofie Bekaert. 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 Sofie Bekaert. The network helps show where Sofie Bekaert may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofie Bekaert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 262 | |
| 2 | 2008 | 196 | |
| 3 | 2007 | 138 | |
| 4 | 2009 | 131 | |
| 5 | 2007 | 128 | |
| 6 | 2007 | 122 | |
| 7 | Telomere attrition as ageing biomarker. | 2005 | 112 |
| 8 | 2018 | 107 | |
| 9 | 2004 | 97 | |
| 10 | 2008 | 70 | |
| 11 | 2008 | 58 | |
| 12 | 2005 | 57 | |
| 13 | 2009 | 55 | |
| 14 | 2010 | 54 | |
| 15 | 2009 | 47 | |
| 16 | 2008 | 44 | |
| 17 | 2012 | 42 | |
| 18 | 2008 | 39 | |
| 19 | 2008 | 35 | |
| 20 | 2011 | 34 |
About Sofie Bekaert
Sofie Bekaert is a scholar working on Physiology, Molecular Biology, Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 56 papers that have together received 2.2k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (20 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Birth, Development, and Health (5 papers), Cardiovascular Health and Disease Prevention (4 papers), Antioxidant Activity and Oxidative Stress (4 papers), Ethics in Clinical Research (4 papers), Cancer-related Molecular Pathways (3 papers) and Cardiovascular Disease and Adiposity (3 papers). The work is most often cited by research in Aging (270 citations), Physiology (900 citations), Cardiology and Cardiovascular Medicine (357 citations), Molecular Biology (779 citations) and Geriatrics and Gerontology (39 citations). Sofie Bekaert has collaborated with scholars based in Belgium, United States and Spain. Frequent co-authors include Tim De Meyer, Marc De Buyzere, Ernst Rietzschel, Wim Van Criekinge, Patrick Van Oostveldt, Thierry Gillebert, Dirk De Bacquer, Guy De Backer, Patrick Segers and Michel R. Langlois. Their work appears in journals such as Circulation, Aging Cell, PLoS ONE, The Journal of Pathology and Frontiers in Medicine.
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.