Antonio Lapenna

819 citations
16 papers · 608 · h-index 9

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Phagocytosis and Immune Regulation

Papers in

    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 4
    • Immune cells in cancer 2
    • Genetics, Aging, and Longevity in Model Organisms 2

Antonio Lapenna

16 papers receiving 594 citations

Peers

Antonio Lapenna
Comparison fields: 5 of 91
  • Neurology 75
  • Immunology 142
  • Geriatrics and Gerontology 20
  • Biological Psychiatry 11
  • Toxicology 13
Replace Maria Hytti with:
Maria Hytti Finland
Kenny Kean‐Hooi Ang United States
Wanida Ittarat Thailand
Qiongming Liu China
Junli Zhang China
Rajani Rajbhandari United States
Yoolhee Yang South Korea
Gan Qiao China
Eveliina Korhonen Finland
Martin Rostami‐Yazdi Germany
Antonio Lapenna relative to Maria Hytti Finland Maria Hytti's profile →
Citations per field
00.5×1.5×
Maria Hytti · 1×
Citations per year

Countries citing papers authored by Antonio Lapenna

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Antonio Lapenna Line = papers co-authored together Antonio Lapenna links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2018185
2 2019135
3 201863
4 201060
5 200945
6 201828
7 201027
8 201916
9 201615
10 20138
11 20146
12 20166
13 20135
14 20144
15 20124
16
Iconography : Immunological pathogenesis of main age-related diseases and frailty: Role of immunosenescence
20101

About Antonio Lapenna

Antonio Lapenna is a scholar working on Immunology, Aging, Neurology, Cancer Research and Biological Psychiatry, having authored 16 papers that have together received 608 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Cholesterol and Lipid Metabolism (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Immune cells in cancer (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Tryptophan and brain disorders (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Neurology (75 citations), Immunology (142 citations), Geriatrics and Gerontology (20 citations), Biological Psychiatry (11 citations) and Toxicology (13 citations). Antonio Lapenna has collaborated with scholars based in United Kingdom, Switzerland and India. Frequent co-authors include Michele De Palma, Claire E. Lewis, Shakti Prasad Pattanayak, Pritha Bose, Richard Aspinall, Wayne A. Mitchell, Mohd Usman Mohd Siddique, Pierre Olivier Lang, Priyashree Sunita and Michael Berger. Their work appears in journals such as Biomedicine & Pharmacotherapy, Nature reviews. Immunology, Oncotarget, Rejuvenation Research and Clinical and Experimental Pharmacology and Physiology.

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.

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