Simone Barbero

3.3k citations
29 papers · 2.9k · h-index 21

Impact in

  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Oncology top 2%
    • Chemokine receptors and signaling

Papers in

    • interferon and immune responses 6
    • Immunotherapy and Immune Responses 5
    • Cell death mechanisms and regulation 8
    • RNA Interference and Gene Delivery 2

Simone Barbero

29 papers receiving 2.8k citations

Peers

Simone Barbero
Comparison fields: 5 of 109
  • Neurology 453
  • Oncology 1.1k
  • Immunology 885
  • Virology 189
  • Immunology and Allergy 220
Replace Marie Tani with:
Marie Tani United States
C.D. Dijkstra Netherlands
Hiroshi Ohnishi Japan
Jian Hong China
Ling‐Yuan Kong United States
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Citations per field
00.5×2.6×
Marie Tani · 1×
Citations per year

Countries citing papers authored by Simone Barbero

Since Specialization
Citations

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

Fields of papers citing papers by Simone Barbero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001354
2
Stromal cell-derived factor 1alpha stimulates human glioblastoma cell growth through the activation of both extracellular signal-regulated kinases 1/2 and Akt.
2003296
3 2005283
4 2002268
5 1999197
6 2001166
7 2005141
8 2006138
9 2001116
10 2009113
11 2008107
12 200294
13 201782
14 200476
15 200871
16 200970
17 199962
18 200950
19 201444
20 201940

About Simone Barbero

Simone Barbero is a scholar working on Immunology, Molecular Biology, Oncology, Cell Biology and Automotive Engineering, having authored 29 papers that have together received 2.9k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (10 papers), Cell death mechanisms and regulation (8 papers), interferon and immune responses (6 papers), Immunotherapy and Immune Responses (5 papers), Hippo pathway signaling and YAP/TAZ (4 papers), HIV Research and Treatment (3 papers), Vehicle emissions and performance (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Neurology (453 citations), Oncology (1.1k citations), Immunology (885 citations), Virology (189 citations) and Immunology and Allergy (220 citations). Simone Barbero has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Adriana Bajetto, Gennaro Schettini, Rudy Bonavia, Tullio Florio, David A. Cheresh, Paolo Esposto Pirani, Carola Porcile, Dwayne G. Stupack, Patrizia Piccioli and Ainhoa Mielgo. Their work appears in journals such as Annals of the New York Academy of Sciences, Journal of Neurochemistry, SAE International Journal of Engines, PLoS ONE and Journal of Biological Chemistry.

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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