Anna De Blasio

1.4k citations
41 papers · 1.1k · h-index 22

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways

Papers in

    • Cell death mechanisms and regulation 8
    • Genomics, phytochemicals, and oxidative stress 5
    • Cancer-related Molecular Pathways 7
    • Cancer Cells and Metastasis 5

Anna De Blasio

41 papers receiving 1.1k citations

Peers

Anna De Blasio
Comparison fields: 5 of 102
  • Cancer Research 331
  • Oncology 261
  • Molecular Biology 613
  • Toxicology 28
  • Pharmacology 134
Replace Mengqiu Song with:
Mengqiu Song China
Wei‐En Yang Taiwan
Felicia Fei‐Lei Chung Malaysia
Jianguo Cao China
Shravanti Mukherjee India
Deok‐Beom Jung South Korea
Elena Butturini Italy
Alok Ranjan United States
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Citations per field
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Mengqiu Song · 1×
Citations per year

Countries citing papers authored by Anna De Blasio

Since Specialization
Citations

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

Fields of papers citing papers by Anna De Blasio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna De Blasio. 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 Anna De Blasio. The network helps show where Anna De Blasio may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200975
2 200863
3 201455
4 201753
5 201752
6 200448
7 201444
8 201844
9 201242
10 201940
11 202040
12 201039
13 201539
14 201437
15 201234
16 202034
17 201433
18 202230
19 202128
20 201624

About Anna De Blasio

Anna De Blasio is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Pharmacology, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (8 papers), Cancer-related Molecular Pathways (7 papers), MicroRNA in disease regulation (6 papers), Cancer Cells and Metastasis (5 papers), Autophagy in Disease and Therapy (5 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Cannabis and Cannabinoid Research (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Cancer Research (331 citations), Oncology (261 citations), Molecular Biology (613 citations), Toxicology (28 citations) and Pharmacology (134 citations). Anna De Blasio has collaborated with scholars based in Italy, United States and Malta. Frequent co-authors include Renza Vento, Michela Giuliano, Riccardo Di Fiore, Daniela Carlisi, Giovanni Tesoriere, Antonella D’Anneo, Giuseppe Calvaruso, Rosa Drago‐Ferrante, Marianna Lauricella and Sonia Emanuele. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Cellular Physiology, International Journal of Oncology, Antioxidants and Cell Death Discovery.

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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