Simon Tual‐Chalot
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Telomeres, Telomerase, and Senescence
Papers in
-
- MicroRNA in disease regulation 5
- Immunology 12
- Atherosclerosis and Cardiovascular Diseases 7
- Co-authors
- Helen M. Arthur (12 shared papers)Maria Carmen Martínez (12 shared papers)Ramaroson Andriantsitohaina (12 shared papers)Konstantinos Stellos (25 shared papers)Rachael E. Redgrave (9 shared papers)Suk Paul Oh (2 shared papers)Ioakim Spyridopoulos (9 shared papers)Daniela Leonetti (2 shared papers)
- Journals
- European Heart Journal (7 papers)Cardiovascular Research (4 papers)PLoS ONE (4 papers)Atherosclerosis (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- United KingdomGermanyGreece
In The Last Decade
Simon Tual‐Chalot
61 papers receiving 2.4k citations
Simon Tual‐Chalot's Hit Papers
Peers
Comparison fields: 5 of 109
- Aging 204
- Physiology 673
- Genetics 229
- Cancer Research 250
- Cardiology and Cardiovascular Medicine 335
Countries citing papers authored by Simon Tual‐Chalot
This map shows the geographic impact of Simon Tual‐Chalot'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 Simon Tual‐Chalot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Tual‐Chalot more than expected).
Fields of papers citing papers by Simon Tual‐Chalot
This network shows the impact of papers produced by Simon Tual‐Chalot. 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 Simon Tual‐Chalot. The network helps show where Simon Tual‐Chalot may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Tual‐Chalot, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Length‐independent telomere damage drives post‐mitotic cardiomyocyte senescence Hit paper breakdown → | 2019 | 418 |
| 2 | 2019 | 199 | |
| 3 | 2020 | 157 | |
| 4 | 2020 | 136 | |
| 5 | 2023 | 109 | |
| 6 | 2015 | 105 | |
| 7 | 2014 | 105 | |
| 8 | 2011 | 102 | |
| 9 | 2010 | 84 | |
| 10 | 2013 | 71 | |
| 11 | 2022 | 58 | |
| 12 | 2023 | 51 | |
| 13 | 2019 | 48 | |
| 14 | 2010 | 47 | |
| 15 | 2012 | 42 | |
| 16 | 2011 | 42 | |
| 17 | 2011 | 42 | |
| 18 | 2019 | 37 | |
| 19 | 2021 | 34 | |
| 20 | 2012 | 31 |
About Simon Tual‐Chalot
Simon Tual‐Chalot is a scholar working on Cancer Research, Immunology, Physiology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 62 papers that have together received 2.4k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (7 papers), Atherosclerosis and Cardiovascular Diseases (7 papers), RNA regulation and disease (6 papers), Vascular Anomalies and Treatments (5 papers), RNA Research and Splicing (5 papers), Telomeres, Telomerase, and Senescence (5 papers), MicroRNA in disease regulation (5 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Aging (204 citations), Physiology (673 citations), Genetics (229 citations), Cancer Research (250 citations) and Cardiology and Cardiovascular Medicine (335 citations). Simon Tual‐Chalot has collaborated with scholars based in United Kingdom, Germany and Greece. Frequent co-authors include Helen M. Arthur, Maria Carmen Martínez, Ramaroson Andriantsitohaina, Konstantinos Stellos, Rachael E. Redgrave, Suk Paul Oh, Ioakim Spyridopoulos, Daniela Leonetti, Gavin David Richardson and Kathleen R. Allinson. Their work appears in journals such as European Heart Journal, Cardiovascular Research, PLoS ONE, Atherosclerosis and Journal of Visualized Experiments.
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.