Claudio Franceschi
Impact in
- Aging top 0.01%
- Genetics, Aging, and Longevity in Model Organisms
- Biological Psychiatry top 0.05%
Papers in
- Aging 173
- Genetics, Aging, and Longevity in Model Organisms 173
- Immunology 174
- T-cell and B-cell Immunology 46
- Immune Cell Function and Interaction 43
- Co-authors
- Daniela Monti (178 shared papers)Stefano Salvioli (143 shared papers)Massimiliano Bonafè (84 shared papers)Andrea Cossarizza (104 shared papers)Paolo Garagnani (106 shared papers)Enzo Ottaviani (39 shared papers)Fabiola Olivieri (61 shared papers)Miriam Capri (134 shared papers)
- Journals
- Mechanisms of Ageing and Development (61 papers)Experimental Gerontology (38 papers)Biochemical and Biophysical Research Communications (38 papers)Ageing Research Reviews (31 papers)Aging (26 papers)
- Partner nations
- ItalyUnited StatesRussia
In The Last Decade
Claudio Franceschi
950 papers receiving 75.0k citations
Claudio Franceschi's Hit Papers
Peers
Comparison fields: 5 of 223
- Aging 8.8k
- Biological Psychiatry 2.9k
- Geriatrics and Gerontology 3.0k
- Physiology 17.7k
- Immunology 12.3k
Countries citing papers authored by Claudio Franceschi
This map shows the geographic impact of Claudio Franceschi'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 Claudio Franceschi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio Franceschi more than expected).
Fields of papers citing papers by Claudio Franceschi
This network shows the impact of papers produced by Claudio Franceschi. 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 Claudio Franceschi. The network helps show where Claudio Franceschi may publish in the future.
Co-authors
The 25 scholars most cited alongside Claudio Franceschi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 961 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inflamm‐aging: An Evolutionary Perspective on Immunosenescence Hit paper breakdown → | 2000 | 4279 |
| 2 | Chronic inflammation in the etiology of disease across the life span Hit paper breakdown → | 2019 | 3539 |
| 3 | Inflammaging: a new immune–metabolic viewpoint for age-related diseases Hit paper breakdown → | 2018 | 2451 |
| 4 | Geroscience: Linking Aging to Chronic Disease Hit paper breakdown → | 2014 | 2013 |
| 5 | Inflammaging and anti-inflammaging: A systemic perspective on aging and longevity emerged from studies in humans Hit paper breakdown → | 2006 | 1698 |
| 6 | Through Ageing, and Beyond: Gut Microbiota and Inflammatory Status in Seniors and Centenarians Hit paper breakdown → | 2010 | 1231 |
| 7 | Immunosenescence and Inflamm-Aging As Two Sides of the Same Coin: Friends or Foes? Hit paper breakdown → | 2018 | 1020 |
| 8 | A New Method for the Cytofluorometric Analysis of Mitochondrial Membrane Potential Using the J-Aggregate Forming Lipophilic Cation 5,5′,6,6′-Tetrachloro-1,1′,3,3′-tetraethylbenzimidazolcarbocyanine Iodide (JC-1) Hit paper breakdown → | 1993 | 964 |
| 9 | JC‐1, but not DiOC6(3) or rhodamine 123, is a reliable fluorescent probe to assess ΔΨ changes in intact cells: implications for studies on mitochondrial functionality during apoptosis Hit paper breakdown → | 1997 | 924 |
| 10 | Gut Microbiota and Extreme Longevity Hit paper breakdown → | 2016 | 820 |
| 11 | Inflammaging and ‘Garb-aging’ Hit paper breakdown → | 2016 | 780 |
| 12 | Mediterranean diet intervention alters the gut microbiome in older people reducing frailty and improving health status: the NU-AGE 1-year dietary intervention across five European countries Hit paper breakdown → | 2020 | 756 |
| 13 | The Continuum of Aging and Age-Related Diseases: Common Mechanisms but Different Rates Hit paper breakdown → | 2018 | 697 |
| 14 | Undulating changes in human plasma proteome profiles across the lifespan Hit paper breakdown → | 2019 | 647 |
| 15 | 1993 | 567 | |
| 16 | 2015 | 474 | |
| 17 | Age-Associated Loss of OPA1 in Muscle Impacts Muscle Mass, Metabolic Homeostasis, Systemic Inflammation, and Epithelial Senescence Hit paper breakdown → | 2017 | 474 |
| 18 | 1995 | 457 | |
| 19 | 2000 | 443 | |
| 20 | 2015 | 406 |
About Claudio Franceschi
Claudio Franceschi is a scholar working on Aging, Immunology, Physiology, Molecular Biology and Genetics, having authored 961 papers that have together received 77.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (173 papers), Epigenetics and DNA Methylation (72 papers), Mitochondrial Function and Pathology (55 papers), Birth, Development, and Health (50 papers), T-cell and B-cell Immunology (46 papers), Diet and metabolism studies (45 papers), Immune Cell Function and Interaction (43 papers) and Neuroinflammation and Neurodegeneration Mechanisms (38 papers). The work is most often cited by research in Aging (8.8k citations), Biological Psychiatry (2.9k citations), Geriatrics and Gerontology (3.0k citations), Physiology (17.7k citations) and Immunology (12.3k citations). Claudio Franceschi has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Daniela Monti, Stefano Salvioli, Massimiliano Bonafè, Andrea Cossarizza, Paolo Garagnani, Enzo Ottaviani, Fabiola Olivieri, Miriam Capri, Aurelia Santoro and Silvana Valensin. Their work appears in journals such as Mechanisms of Ageing and Development, Experimental Gerontology, Biochemical and Biophysical Research Communications, Ageing Research Reviews and Aging.
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.