Claudio Franceschi
Impact in
- Aging top 0.01%
- Genetics, Aging, and Longevity in Model Organisms
- Biological Psychiatry top 0.05%
Papers in
-
- Epigenetics and DNA Methylation 63
- Mitochondrial Function and Pathology 50
- Physiology 188
- Diet and metabolism studies 52
- Nutrition and Health in Aging 39
- Co-authors
- Daniela Monti (175 shared papers)Stefano Salvioli (135 shared papers)Massimiliano Bonafè (81 shared papers)Andrea Cossarizza (104 shared papers)Paolo Garagnani (100 shared papers)Enzo Ottaviani (37 shared papers)Olivieri Fabiola (71 shared papers)Miriam Capri (121 shared papers)
- Journals
- Mechanisms of Ageing and Development (51 papers)Biochemical and Biophysical Research Communications (38 papers)Experimental Gerontology (35 papers)Ageing Research Reviews (29 papers)Annals of the New York Academy of Sciences (25 papers)
- Partner nations
- ItalyRussiaUnited States
In The Last Decade
Claudio Franceschi
807 papers receiving 61.2k citations
Claudio Franceschi's Hit Papers
Peers
Comparison fields: 5 of 218
- Aging 6.8k
- Biological Psychiatry 2.8k
- Geriatrics and Gerontology 2.8k
- Physiology 16.4k
- Immunology 11.6k
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 816 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 | 3772 |
| 2 | Chronic inflammation in the etiology of disease across the life span Hit paper breakdown → | 2019 | 3020 |
| 3 | Inflammaging: a new immune–metabolic viewpoint for age-related diseases Hit paper breakdown → | 2018 | 2035 |
| 4 | Geroscience: Linking Aging to Chronic Disease Hit paper breakdown → | 2014 | 1717 |
| 5 | Inflammaging and anti-inflammaging: A systemic perspective on aging and longevity emerged from studies in humans Hit paper breakdown → | 2006 | 1491 |
| 6 | Through Ageing, and Beyond: Gut Microbiota and Inflammatory Status in Seniors and Centenarians Hit paper breakdown → | 2010 | 1093 |
| 7 | 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 | 931 |
| 8 | Immunosenescence and Inflamm-Aging As Two Sides of the Same Coin: Friends or Foes? Hit paper breakdown → | 2018 | 908 |
| 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 | 900 |
| 10 | Gut Microbiota and Extreme Longevity Hit paper breakdown → | 2016 | 698 |
| 11 | Inflammaging and ‘Garb-aging’ Hit paper breakdown → | 2016 | 681 |
| 12 | The Continuum of Aging and Age-Related Diseases: Common Mechanisms but Different Rates Hit paper breakdown → | 2018 | 594 |
| 13 | Increased cytokine production in mononuclear cells of healthy elderly people Hit paper breakdown → | 1993 | 523 |
| 14 | Undulating changes in human plasma proteome profiles across the lifespan Hit paper breakdown → | 2019 | 492 |
| 15 | Age-Associated Loss of OPA1 in Muscle Impacts Muscle Mass, Metabolic Homeostasis, Systemic Inflammation, and Epithelial Senescence Hit paper breakdown → | 2017 | 421 |
| 16 | 2000 | 401 | |
| 17 | 1995 | 398 | |
| 18 | 2005 | 364 | |
| 19 | 1996 | 359 | |
| 20 | 2005 | 353 |
About Claudio Franceschi
Claudio Franceschi is a scholar working on Molecular Biology, Physiology, Immunology, Aging and Genetics, having authored 816 papers that have together received 62.5k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (142 papers), Epigenetics and DNA Methylation (63 papers), Diet and metabolism studies (52 papers), Mitochondrial Function and Pathology (50 papers), Birth, Development, and Health (50 papers), T-cell and B-cell Immunology (46 papers), Immune Cell Function and Interaction (43 papers) and Nutrition and Health in Aging (39 papers). The work is most often cited by research in Aging (6.8k citations), Biological Psychiatry (2.8k citations), Geriatrics and Gerontology (2.8k citations), Physiology (16.4k citations) and Immunology (11.6k citations). Claudio Franceschi has collaborated with scholars based in Italy, Russia and United States. Frequent co-authors include Daniela Monti, Stefano Salvioli, Massimiliano Bonafè, Andrea Cossarizza, Paolo Garagnani, Enzo Ottaviani, Olivieri Fabiola, Miriam Capri, Aurelia Santoro and Silvana Valensin. Their work appears in journals such as Mechanisms of Ageing and Development, Biochemical and Biophysical Research Communications, Experimental Gerontology, Ageing Research Reviews and Annals of the New York Academy of Sciences.
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.