Xavier Camous
Impact in
- Geriatrics and Gerontology top 5%
- Frailty in Older Adults
- Hepatology top 5%
- Hepatitis C virus research
Papers in
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- Nutrition and Health in Aging 3
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- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- IL-33, ST2, and ILC Pathways 3
- Immunotherapy and Immune Responses 2
- Co-authors
- Anis Larbi (12 shared papers)Rafael Solana (1 shared paper)Alejandra Pera (1 shared paper)Tamàs Fülöp (4 shared papers)Hassen Kared (2 shared papers)Evelyne Jouvin‐Marche (3 shared papers)Patrice N. Marche (3 shared papers)Tze Pin Ng (6 shared papers)
In The Last Decade
Xavier Camous
16 papers receiving 846 citations
Peers
Comparison fields: 5 of 84
- Geriatrics and Gerontology 90
- Hepatology 128
- Immunology 343
- Biological Psychiatry 33
- Aging 14
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 | 122 | |
| 3 | 2010 | 99 | |
| 4 | 2015 | 89 | |
| 5 | 2016 | 81 | |
| 6 | 2015 | 57 | |
| 7 | 2012 | 55 | |
| 8 | 2010 | 47 | |
| 9 | 2014 | 47 | |
| 10 | Hallmarks of improved immunological responses in the vaccination of more physically active elderly females. | 2019 | 42 |
| 11 | 2015 | 38 | |
| 12 | 2018 | 30 | |
| 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 Physiology, Immunology, Geriatrics and Gerontology, Critical Care and Intensive Care Medicine and Molecular Biology, having authored 16 papers that have together received 865 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Frailty in Older Adults (4 papers), Immune Cell Function and Interaction (4 papers), Intensive Care Unit Cognitive Disorders (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Nutrition and Health in Aging (3 papers), Diabetes and associated disorders (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Geriatrics and Gerontology (90 citations), Hepatology (128 citations), Immunology (343 citations), Biological Psychiatry (33 citations) and Aging (14 citations). Xavier Camous has collaborated with scholars based in Singapore, France and Canada. Frequent co-authors include Anis Larbi, Rafael Solana, Alejandra Pera, Tamàs Fülöp, Hassen Kared, Evelyne Jouvin‐Marche, Patrice N. Marche, Tze Pin Ng, Yanxia Lu and Ma Shwe Zin Nyunt. Their work appears in journals such as Journal of Hepatology, Current Opinion in Immunology, Neurobiology of Aging, BMJ Open Diabetes Research & Care and Interdisciplinary topics in gerontology and geriatrics.
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.