David Vindrieux
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Telomeres, Telomerase, and Senescence
Papers in
- Physiology 20
- Telomeres, Telomerase, and Senescence 20
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- Cell death mechanisms and regulation 5
- Mitochondrial Function and Pathology 3
- Metabolism, Diabetes, and Cancer 2
- Co-authors
- David Bernard (27 shared papers)Clotilde Wiel (10 shared papers)Gwendal Lazennec (3 shared papers)Benjamin Le Calvé (10 shared papers)Arnaud Augert (10 shared papers)Mylène Ferrand (7 shared papers)Delphine Gitenay (6 shared papers)Hélène Lallet-Daher (5 shared papers)
- Journals
- Aging Cell (4 papers)Nature Communications (3 papers)Aging (3 papers)Cell Death and Disease (3 papers)Oncotarget (2 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
David Vindrieux
35 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 76
- Aging 63
- Physiology 369
- Cancer Research 112
- Reproductive Medicine 82
- Oncology 170
Countries citing papers authored by David Vindrieux
This map shows the geographic impact of David Vindrieux'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 David Vindrieux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Vindrieux more than expected).
Fields of papers citing papers by David Vindrieux
This network shows the impact of papers produced by David Vindrieux. 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 David Vindrieux. The network helps show where David Vindrieux may publish in the future.
Co-authors
The 25 scholars most cited alongside David Vindrieux, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 188 | |
| 2 | 2018 | 167 | |
| 3 | 2021 | 155 | |
| 4 | 2009 | 109 | |
| 5 | 2012 | 103 | |
| 6 | 2014 | 77 | |
| 7 | 2016 | 63 | |
| 8 | 2013 | 56 | |
| 9 | 2014 | 55 | |
| 10 | 2013 | 46 | |
| 11 | 2002 | 43 | |
| 12 | 2015 | 41 | |
| 13 | 2014 | 38 | |
| 14 | 2013 | 34 | |
| 15 | 2014 | 33 | |
| 16 | 2018 | 33 | |
| 17 | 2023 | 25 | |
| 18 | 2018 | 24 | |
| 19 | 2021 | 24 | |
| 20 | 2013 | 23 |
About David Vindrieux
David Vindrieux is a scholar working on Physiology, Molecular Biology, Aging, Oncology and Genetics, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (20 papers), Cell death mechanisms and regulation (5 papers), Mitochondrial Function and Pathology (3 papers), Estrogen and related hormone effects (3 papers), Renal Diseases and Glomerulopathies (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). The work is most often cited by research in Aging (63 citations), Physiology (369 citations), Cancer Research (112 citations), Reproductive Medicine (82 citations) and Oncology (170 citations). David Vindrieux has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include David Bernard, Clotilde Wiel, Gwendal Lazennec, Benjamin Le Calvé, Arnaud Augert, Mylène Ferrand, Delphine Gitenay, Hélène Lallet-Daher, Hélène Simonnet and Sébastien Aubert. Their work appears in journals such as Aging Cell, Nature Communications, Aging, Cell Death and Disease and Oncotarget.
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.