Selim Chaib
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Telomeres, Telomerase, and Senescence
Papers in
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- RNA Interference and Gene Delivery 2
- Metabolism, Diabetes, and Cancer 2
- Advanced biosensing and bioanalysis techniques 2
-
- Telomeres, Telomerase, and Senescence 5
- Co-authors
- Tamar Tchkonia (4 shared papers)James L. Kirkland (4 shared papers)Ramón Martínez‐Máñez (2 shared papers)Andrea Bernardos (2 shared papers)Miguel Rovira (2 shared papers)Irene Galiana (2 shared papers)Beatriz Lozano‐Torres (2 shared papers)Daniel Muñoz‐Espín (2 shared papers)
- Journals
- PLoS ONE (2 papers)EMBO Molecular Medicine (1 paper)Nature Reviews Endocrinology (1 paper)Clinical Cancer Research (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Selim Chaib
9 papers receiving 1.5k citations
Selim Chaib's Hit Papers
Peers
Comparison fields: 5 of 97
- Aging 126
- Physiology 571
- Cancer Research 240
- Immunology 232
- Geriatrics and Gerontology 32
Countries citing papers authored by Selim Chaib
This map shows the geographic impact of Selim Chaib'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 Selim Chaib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Selim Chaib more than expected).
Fields of papers citing papers by Selim Chaib
This network shows the impact of papers produced by Selim Chaib. 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 Selim Chaib. The network helps show where Selim Chaib may publish in the future.
Co-authors
The 25 scholars most cited alongside Selim Chaib, 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 | Cellular senescence and senolytics: the path to the clinic Hit paper breakdown → | 2022 | 703 |
| 2 | 2013 | 268 | |
| 3 | 2018 | 261 | |
| 4 | 2017 | 168 | |
| 5 | 2016 | 31 | |
| 6 | 2021 | 19 | |
| 7 | 2024 | 11 | |
| 8 | 2017 | 6 | |
| 9 | 2021 | 3 | |
| 10 | 2025 | 0 |
About Selim Chaib
Selim Chaib is a scholar working on Molecular Biology, Physiology, Endocrine and Autonomic Systems, Aging and Organic Chemistry, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (5 papers), Circadian rhythm and melatonin (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), RNA Interference and Gene Delivery (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Synthesis of Tetrazole Derivatives (1 paper) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Aging (126 citations), Physiology (571 citations), Cancer Research (240 citations), Immunology (232 citations) and Geriatrics and Gerontology (32 citations). Selim Chaib has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Tamar Tchkonia, James L. Kirkland, Ramón Martínez‐Máñez, Andrea Bernardos, Miguel Rovira, Irene Galiana, Beatriz Lozano‐Torres, Daniel Muñoz‐Espín, Manuel Serrano and Jenna Sykes. Their work appears in journals such as PLoS ONE, EMBO Molecular Medicine, Nature Reviews Endocrinology, Clinical Cancer Research and Nature 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.