Antonio Lapenna
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 2
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- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 5
- Immune cells in cancer 2
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- Genetics, Aging, and Longevity in Model Organisms 2
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- Cancer, Lipids, and Metabolism 2
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- Cholesterol and Lipid Metabolism 2
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- Viral gastroenteritis research and epidemiology 1
- Co-authors
- Michele De PalmaClaire E. LewisPritha BoseShakti Prasad PattanayakRichard AspinallWayne MitchellMohd Usman Mohd SiddiquePriyashree Sunita
- Journals
- Nature reviews. Immunology (2 papers)Biomedicine & Pharmacotherapy (2 papers)Journal of Comparative Pathology (1 paper)
- Partner nations
- United KingdomSwitzerlandIndia
In The Last Decade
Antonio Lapenna
17 papers receiving 547 citations
Peers
Comparison fields: 5 of 89
- Neurology 78
- Immunology 136
- Geriatrics and Gerontology 19
- Biological Psychiatry 11
- Toxicology 12
Countries citing papers authored by Antonio Lapenna
This map shows the geographic impact of Antonio Lapenna'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 Antonio Lapenna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Lapenna more than expected).
Fields of papers citing papers by Antonio Lapenna
This network shows the impact of papers produced by Antonio Lapenna. 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 Antonio Lapenna. The network helps show where Antonio Lapenna may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Antonio Lapenna, 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 | 2021 | 2 | |
| 2 | 2019 | 126 | |
| 3 | 2019 | 16 | |
| 4 | 2018 | 55 | |
| 5 | 2018 | 26 | |
| 6 | 2018 | 170 | |
| 7 | 2016 | 6 | |
| 8 | 2016 | 14 | |
| 9 | 2014 | 4 | |
| 10 | 2014 | 4 | |
| 11 | 2013 | 5 | |
| 12 | 2013 | 5 | |
| 13 | 2012 | 4 | |
| 14 | 2010 | 55 | |
| 15 | 2010 | 22 | |
| 16 | Iconography : Immunological pathogenesis of main age-related diseases and frailty: Role of immunosenescence | 2010 | 1 |
| 17 | 2009 | 44 |
About Antonio Lapenna
Antonio Lapenna is a scholar working on Aging, Biological Psychiatry, Immunology, Neurology and Virology, having authored 17 papers that have together received 559 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (5 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Cancer, Lipids, and Metabolism (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Cholesterol and Lipid Metabolism (2 papers), Immune cells in cancer (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Neurology (78 citations), Immunology (136 citations), Geriatrics and Gerontology (19 citations), Biological Psychiatry (11 citations) and Toxicology (12 citations). Antonio Lapenna has collaborated with scholars based in United Kingdom, Switzerland and India. Frequent co-authors include Michele De Palma, Claire E. Lewis, Pritha Bose, Shakti Prasad Pattanayak, Richard Aspinall, Wayne Mitchell, Mohd Usman Mohd Siddique, Priyashree Sunita, P.-O. Lang and Michael Berger. Their work appears in journals such as Nature reviews. Immunology, Biomedicine & Pharmacotherapy, Journal of Comparative Pathology, Biochemical Society Transactions and Scientific Reports.
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.