Xavier Camous
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 5%
- Frailty in Older Adults
Papers in
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- Frailty in Older Adults 4
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- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
- Co-authors
- Anis Larbi (12 shared papers)Alejandra Pera (1 shared paper)Rafael Solana (1 shared paper)Tamàs Fülöp (4 shared papers)Hassen Kared (2 shared papers)Patrice Noël Marche (3 shared papers)Evelyne Jouvin‐Marche (3 shared papers)Tze Pin Ng (6 shared papers)
In The Last Decade
Xavier Camous
16 papers receiving 862 citations
Peers
Comparison fields: 5 of 75
- Aging 56
- Geriatrics and Gerontology 107
- Hepatology 158
- Immunology 281
- Epidemiology 133
Countries citing papers authored by Xavier Camous
This map shows the geographic impact of Xavier Camous'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 Xavier Camous with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Camous more than expected).
Fields of papers citing papers by Xavier Camous
This network shows the impact of papers produced by Xavier Camous. 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 Xavier Camous. The network helps show where Xavier Camous may publish in the future.
Co-authors
The 25 scholars most cited alongside Xavier Camous, 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 | 2012 | 126 | |
| 2 | 2009 | 123 | |
| 3 | 2010 | 101 | |
| 4 | 2015 | 91 | |
| 5 | 2016 | 86 | |
| 6 | 2012 | 59 | |
| 7 | 2015 | 57 | |
| 8 | 2014 | 49 | |
| 9 | 2010 | 48 | |
| 10 | Hallmarks of improved immunological responses in the vaccination of more physically active elderly females. | 2019 | 42 |
| 11 | 2015 | 41 | |
| 12 | 2018 | 32 | |
| 13 | 2015 | 11 | |
| 14 | 2018 | 10 | |
| 15 | 2018 | 8 | |
| 16 | An Overview of T Cell Subsets and Their Potential Use as Markers of Immunological Ageing | 2013 | 3 |
About Xavier Camous
Xavier Camous is a scholar working on Geriatrics and Gerontology, Immunology, Hepatology, Epidemiology and Neurology, having authored 16 papers that have together received 887 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), Frailty in Older Adults (4 papers), Hepatitis C virus research (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Aging (56 citations), Geriatrics and Gerontology (107 citations), Hepatology (158 citations), Immunology (281 citations) and Epidemiology (133 citations). Xavier Camous has collaborated with scholars based in Singapore, France and Canada. Frequent co-authors include Anis Larbi, Alejandra Pera, Rafael Solana, Tamàs Fülöp, Hassen Kared, Patrice Noël Marche, Evelyne Jouvin‐Marche, Tze Pin Ng, Ma Shwe Zin Nyunt and Yanxia Lu. Their work appears in journals such as Journal of Hepatology, Current Opinion in Immunology, BioMed Research International, BMJ Open Diabetes Research & Care and PLoS Pathogens.
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.