Arnaud Augert
- Aging top 2%
- Physiology top 2%
- Telomeres, Telomerase, and Senescence 7
- Immunology top 5%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
- Oncology top 5%
- Lung Cancer Research Studies 6
- Cancer Research top 5%
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- Neuroendocrine Tumor Research Advances 6
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- Retinoids in leukemia and cellular processes 4
- DNA Repair Mechanisms 3
- Advanced biosensing and bioanalysis techniques 3
- Mitochondrial Function and Pathology 2
- Co-authors
- David BernardJesús GilMarco Da CostaAna O’LoghlenJonathan MelamedMaría V. GuijarroEva HernandoAna Banito
- Cited by
- AgingPhysiologyImmunology
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Arnaud Augert
22 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Aging 122
- Physiology 880
- Immunology 603
- Oncology 680
- Cancer Research 365
Countries citing papers authored by Arnaud Augert
This map shows the geographic impact of Arnaud Augert'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 Arnaud Augert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnaud Augert more than expected).
Fields of papers citing papers by Arnaud Augert
This network shows the impact of papers produced by Arnaud Augert. 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 Arnaud Augert. The network helps show where Arnaud Augert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arnaud Augert, 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 | 3 | |
| 2 | 2021 | 9 | |
| 3 | 2020 | 51 | |
| 4 | 2019 | 154 | |
| 5 | 2018 | 115 | |
| 6 | 2016 | 19 | |
| 7 | 2016 | 73 | |
| 8 | 2015 | 5 | |
| 9 | 2014 | 98 | |
| 10 | 2014 | 31 | |
| 11 | 2014 | 173 | |
| 12 | 2014 | 3 | |
| 13 | 2013 | 42 | |
| 14 | 2013 | 52 | |
| 15 | 2013 | 22 | |
| 16 | 2013 | 30 | |
| 17 | 2009 | 12 | |
| 18 | 2009 | 88 | |
| 19 | 2009 | 1 | |
| 20 | Chemokine Signaling via the CXCR2 Receptor Reinforces Senescencebreakdown → | 2008 | 1374 |
About Arnaud Augert
Arnaud Augert is a scholar working on Oncology, Physiology, Molecular Biology, Physiology and Epidemiology, having authored 22 papers that have together received 2.5k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (7 papers), Neuroendocrine Tumor Research Advances (6 papers), Lung Cancer Research Studies (6 papers), Retinoids in leukemia and cellular processes (4 papers), DNA Repair Mechanisms (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Aging (122 citations), Physiology (880 citations), Immunology (603 citations), Oncology (680 citations) and Cancer Research (365 citations). Arnaud Augert has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include David Bernard, Jesús Gil, Marco Da Costa, Ana O’Loghlen, Jonathan Melamed, María V. Guijarro, Eva Hernando, Ana Banito, Yoshihiro Takatsu and Marzia Fumagalli. Their work appears in journals such as Cancer Research, Oncogene, Cancer Cell, Aging and Journal of Thoracic Oncology.
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.