Daniela Barbieri

3.0k citations
73 papers · 2.6k · h-index 30

Impact in

  • Physiology top 0.5%
    • Adenosine and Purinergic Signaling
  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms

Papers in

    • Cell death mechanisms and regulation 7
    • RNA Interference and Gene Delivery 5
    • Polyamine Metabolism and Applications 5

Daniela Barbieri

73 papers receiving 2.6k citations

Peers

Daniela Barbieri
Comparison fields: 5 of 131
  • Physiology 418
  • Aging 121
  • Immunology 554
  • Neurology 182
  • Virology 72
Replace Zhongju Zou with:
Zhongju Zou United States
Sandra Barth Germany
Akiko Kuma Japan
Lone Bastholm Denmark
Marco Corazzari Italy
Elena Shvets Israel
Cristina C. Clement United States
Satoko Arakawa Japan
Xiao Huan Liang United States
Christian Münch Germany
Daniela Barbieri relative to Zhongju Zou United States Zhongju Zou's profile →
Citations per field
00.5×1.5×2.0×
Zhongju Zou · 1×
Citations per year

Countries citing papers authored by Daniela Barbieri

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996212
2 1994178
3 2015145
4 199299
5 201687
6 199986
7 199785
8 200084
9 199583
10 200073
11 199871
12 199870
13 199566
14 199464
15 199260
16 199855
17 199752
18 201351
19 199350
20 199349

About Daniela Barbieri

Daniela Barbieri is a scholar working on Molecular Biology, Immunology, Physiology, Epidemiology and Oncology, having authored 73 papers that have together received 2.6k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (9 papers), Cell death mechanisms and regulation (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), RNA Interference and Gene Delivery (5 papers), Cervical Cancer and HPV Research (5 papers), Telomeres, Telomerase, and Senescence (5 papers), Polyamine Metabolism and Applications (5 papers) and Acute Myeloid Leukemia Research (5 papers). The work is most often cited by research in Physiology (418 citations), Aging (121 citations), Immunology (554 citations), Neurology (182 citations) and Virology (72 citations). Daniela Barbieri has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Claudio Franceschi, Andrea Cossarizza, Daniela Monti, Emanuela Grassilli, Stefania Ceruti, Maria P. Abbracchio, Leonarda Troiano, Walter Malorni, Miriam Capri and Stefano Salvioli. Their work appears in journals such as Biochemical and Biophysical Research Communications, Blood, Diagnostic Microbiology and Infectious Disease, The Journal of Experimental Medicine and Journal of Clinical Virology.

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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