Silvio Buffa

1.6k citations
20 papers · 1.2k · 1 hit paper · h-index 15

Impact in

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 9
    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 4

Silvio Buffa

20 papers receiving 1.2k citations

Silvio Buffa's Hit Papers

A Typical Immune T/B Subset Profile Characterizes Bicuspid Aortic Valve: In an Old Status? 2018 · 326 citations
3260+2+5Years since publication100200300

Peers

Silvio Buffa
Comparison fields: 5 of 109
  • Biological Psychiatry 146
  • Neurology 244
  • Aging 55
  • Immunology 314
  • Physiology 258
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Citations per field
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Citations per year

Countries citing papers authored by Silvio Buffa

Since Specialization
Citations

This map shows the geographic impact of Silvio Buffa'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 Silvio Buffa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvio Buffa more than expected).

Fields of papers citing papers by Silvio Buffa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvio Buffa. 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 Silvio Buffa. The network helps show where Silvio Buffa may publish in the future.

Co-authors

The 25 scholars most cited alongside Silvio Buffa, 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 Silvio Buffa Line = papers co-authored together Silvio Buffa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
A Typical Immune T/B Subset Profile Characterizes Bicuspid Aortic Valve: In an Old Status?
Hit paper breakdown →
2018326
2 2011110
3 2009103
4 201079
5 201174
6 201071
7 201561
8 201559
9 201258
10 201254
11 201247
12 201442
13 201441
14 201038
15 201915
16 201314
17 201313
18 201311
19 20165
20
[Caloric intake and bone mineral content in obese and normal weight subjects].
19911

About Silvio Buffa

Silvio Buffa is a scholar working on Neurology, Immunology, Physiology, Biological Psychiatry and Epidemiology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), T-cell and B-cell Immunology (6 papers), Alzheimer's disease research and treatments (4 papers), Tryptophan and brain disorders (4 papers), Immune Cell Function and Interaction (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Biological Psychiatry (146 citations), Neurology (244 citations), Aging (55 citations), Immunology (314 citations) and Physiology (258 citations). Silvio Buffa has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Giuseppina Colonna‐Romano, Calogero Caruso, Matteo Bulati, Giuseppina Candore, Mariavaleria Pellicanò, Domenico Lio, Carmela Rita Balistreri, Adriana Martorana, Deborah K. Dunn‐Walters and Giovanni Ruvolo. Their work appears in journals such as Immunity & Ageing, Journal of Alzheimer s Disease, Experimental Gerontology, Journal of Neuroimmunology and BioMed Research International.

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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