Silvana Valensin
- Molecular Biology top 5%
- Immunology top 1%
- Physiology top 1%
- Epidemiology top 5%
- Aging top 0.2%
- Co-authors
- Massimiliano BonafèClaudio FranceschiGiovanna De BenedictisOlivieri FabiolaEnzo OttavianiMaría De LucaDaniela MontiStefano Salvioli
- Topics
- Genetics, Aging, and Longevity in Model Organisms (16 papers)T-cell and B-cell Immunology (8 papers)Birth, Development, and Health (5 papers)
- Cited by
- AgingBiological PsychiatryNeurology
- Journals
- Annals of the New York Academy of SciencesThe American Journal of Human GeneticsThe Journals of Gerontology Series A
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Silvana Valensin
26 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 1.7k
- Immunology 1.6k
- Physiology 1.5k
- Epidemiology 926
- Aging 784
Countries citing papers authored by Silvana Valensin
This map shows the geographic impact of Silvana Valensin'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 Silvana Valensin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvana Valensin more than expected).
Fields of papers citing papers by Silvana Valensin
This network shows the impact of papers produced by Silvana Valensin. 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 Silvana Valensin. The network helps show where Silvana Valensin may publish in the future.
Co-authorship network of co-authors of Silvana Valensin
This figure shows the co-authorship network connecting the top 25 collaborators of Silvana Valensin. A scholar is included among the top collaborators of Silvana Valensin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Silvana Valensin. Silvana Valensin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 48 | |
| 2 | 57 | |
| 3 | 108 | |
| 4 | 181 | |
| 5 | 60 | |
| 6 | 164 | |
| 7 | 30 | |
| 8 | A STOCHASTIC MODEL FOR THE CLONAL EXPANSION AND HOMEOSTASIS OF CYTOTOXIC T LYMPHOCYTES | 1 |
| 9 | 50 | |
| 10 | 67 | |
| 11 | 69 | |
| 12 | 40 | |
| 13 | 58 | |
| 14 | Do men and women follow different trajectories to reach extreme longevity? | 3 |
| 15 | 254 | |
| 16 | 343 | |
| 17 | 60 | |
| 18 | Inflamm‐aging: An Evolutionary Perspective on Immunosenescencebreakdown → | 3772 |
| 19 | 115 | |
| 20 | 111 |
About Silvana Valensin
Silvana Valensin is a scholar working on Aging, Biological Psychiatry and Immunology, having authored 26 papers that have together received 5.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (16 papers), T-cell and B-cell Immunology (8 papers) and Birth, Development, and Health (5 papers). The work is most often cited by research in Aging (784 citations), Biological Psychiatry (374 citations) and Neurology (691 citations). Silvana Valensin has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Massimiliano Bonafè, Claudio Franceschi, Giovanna De Benedictis, Olivieri Fabiola, Enzo Ottaviani, María De Luca, Daniela Monti, Claudio Franceschi, Stefano Salvioli and Miriam Capri. Their work appears in journals such as Annals of the New York Academy of Sciences, The American Journal of Human Genetics and The Journals of Gerontology Series A.
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.