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
- James L. Kirkland (4 shared papers)Tamar Tchkonia (4 shared papers)Daniel Muñoz‐Espín (2 shared papers)Andrea Bernardos (2 shared papers)Miguel Rovira (2 shared papers)Irene Galiana (2 shared papers)Beatriz Lozano‐Torres (2 shared papers)Manuel Serrano (2 shared papers)
- Journals
- PLoS ONE (2 papers)Nature Medicine (1 paper)Clinical Cancer Research (1 paper)Aging Cell (1 paper)Nature Reviews Endocrinology (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Selim Chaib
9 papers receiving 1.4k citations
Selim Chaib's Hit Papers
Peers
Comparison fields: 5 of 97
- Aging 123
- Physiology 560
- Cancer Research 234
- Immunology 230
- 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 | 697 |
| 2 | 2013 | 260 | |
| 3 | 2018 | 253 | |
| 4 | 2017 | 163 | |
| 5 | 2016 | 31 | |
| 6 | 2021 | 18 | |
| 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 1.4k 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 (123 citations), Physiology (560 citations), Cancer Research (234 citations), Immunology (230 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 James L. Kirkland, Tamar Tchkonia, Daniel Muñoz‐Espín, Andrea Bernardos, Miguel Rovira, Irene Galiana, Beatriz Lozano‐Torres, Manuel Serrano, Ramón Martínez‐Máñez and Robert G. Bristow. Their work appears in journals such as PLoS ONE, Nature Medicine, Clinical Cancer Research, Aging Cell and Nature Reviews Endocrinology.
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.