Danilo Fiore

2.2k citations
27 papers · 1.5k · h-index 16

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Lipids, and Metabolism
  • Nephrology top 2%
    • Acute Kidney Injury Research

Papers in

    • RNA Interference and Gene Delivery 4
    • Circular RNAs in diseases 3
    • RNA Research and Splicing 3
    • Extracellular vesicles in disease 3
    • MicroRNA in disease regulation 10
    • Cancer-related molecular mechanisms research 5

Danilo Fiore

25 papers receiving 1.5k citations

Peers

Danilo Fiore
Comparison fields: 5 of 83
  • Cancer Research 723
  • Nephrology 233
  • Molecular Biology 834
  • Critical Care and Intensive Care Medicine 46
  • Oncology 193
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Bin Huang China
Xiu‐E Xu China
Eun-Jin Yeo United States
Shujun Lin China
Yulia Kiyan Germany
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Chunping Yu China
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Citations per field
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Citations per year

Countries citing papers authored by Danilo Fiore

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Fiore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019323
2 2017274
3 2012150
4 2011106
5 201298
6 201384
7 201580
8 202075
9 201659
10 201851
11 201841
12 201740
13 201634
14 202429
15 201317
16 201516
17 202011
18 20173
19 20212
20 20211

About Danilo Fiore

Danilo Fiore is a scholar working on Molecular Biology, Cancer Research, Oncology, Nephrology and Genetics, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Acute Kidney Injury Research (6 papers), Cancer-related molecular mechanisms research (5 papers), RNA Interference and Gene Delivery (4 papers), CAR-T cell therapy research (4 papers), Circular RNAs in diseases (3 papers), RNA Research and Splicing (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Cancer Research (723 citations), Nephrology (233 citations), Molecular Biology (834 citations), Critical Care and Intensive Care Medicine (46 citations) and Oncology (193 citations). Danilo Fiore has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Gerolama Condorelli, Cristina Quintavalle, Elvira Donnarumma, Giuseppina Roscigno, Margherita Iaboni, Giorgio Inghirami, Valentina Russo, Alessandra Affinito, Assunta Adamo and Carlo Briguori. Their work appears in journals such as Oncotarget, Blood, Molecular Therapy — Nucleic Acids, Cell Death Discovery and Frontiers in 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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