Bart van de Sluis
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 0.5%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Trace Elements in Health 26
-
- NF-κB Signaling Pathways 7
- Co-authors
- Jan M. van DeursenTobias WijshakeDarren J. BakerTamar TchkoniaJames L. KirklandBennett G. ChildsNathan K. LeBrasseurCisca Wijmenga
- Journals
- PLoS ONE (7 papers)Atherosclerosis (6 papers)Hepatology (5 papers)Arteriosclerosis Thrombosis and Vascular Biology (3 papers)Current Opinion in Lipidology (3 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Bart van de Sluis
93 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Aging 644
- Physiology 2.6k
- Nutrition and Dietetics 1.3k
- Immunology 1.2k
- Cancer Research 835
Countries citing papers authored by Bart van de Sluis
This map shows the geographic impact of Bart van de Sluis'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 Bart van de Sluis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart van de Sluis more than expected).
Fields of papers citing papers by Bart van de Sluis
This network shows the impact of papers produced by Bart van de Sluis. 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 Bart van de Sluis. The network helps show where Bart van de Sluis may publish in the future.
Co-authors
The 25 scholars most cited alongside Bart van de Sluis, 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 | 2025 | 1 | |
| 2 | 2023 | 14 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 57 | |
| 6 | 2021 | 16 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 20 | |
| 9 | 2018 | 14 | |
| 10 | 2017 | 37 | |
| 11 | 2017 | 9 | |
| 12 | 2016 | 13 | |
| 13 | Chronic inflammation induces telomere dysfunction and accelerates ageing in mice Hit paper breakdown → | 2014 | 593 |
| 14 | 2014 | 15 | |
| 15 | 2013 | 20 | |
| 16 | Impaired Shedding of TNF Receptor 1 Aggravates High Fat Diet Induced Non-Alcoholic Fatty Liver Disease But Does Not Cause Insulin Resistance in Mice | 2012 | 1 |
| 17 | 2012 | 183 | |
| 18 | 2010 | 103 | |
| 19 | 2010 | 1 | |
| 20 | 2009 | 45 |
About Bart van de Sluis
Bart van de Sluis is a scholar working on Nutrition and Dietetics, Cancer Research, Hematology, Cell Biology and Health, Toxicology and Mutagenesis, having authored 96 papers that have together received 7.7k indexed citations. Recurring topics across this work include Trace Elements in Health (26 papers), Drug Transport and Resistance Mechanisms (18 papers), Liver Disease Diagnosis and Treatment (13 papers), Heavy Metal Exposure and Toxicity (10 papers), Iron Metabolism and Disorders (9 papers), Cholesterol and Lipid Metabolism (9 papers), Lipoproteins and Cardiovascular Health (8 papers) and NF-κB Signaling Pathways (7 papers). The work is most often cited by research in Aging (644 citations), Physiology (2.6k citations), Nutrition and Dietetics (1.3k citations), Immunology (1.2k citations) and Cancer Research (835 citations). Bart van de Sluis has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Jan M. van Deursen, Tobias Wijshake, Darren J. Baker, Tamar Tchkonia, James L. Kirkland, Bennett G. Childs, Nathan K. LeBrasseur, Cisca Wijmenga, Leo W. J. Klomp and Marten H. Hofker. Their work appears in journals such as PLoS ONE, Atherosclerosis, Hepatology, Arteriosclerosis Thrombosis and Vascular Biology and Current Opinion in Lipidology.
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.