Daniel D’Andrea

1.6k citations
25 papers · 640 · h-index 14

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Protein Structure and Dynamics
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Circular RNAs in diseases

Papers in

    • RNA Research and Splicing 3
    • Bioinformatics and Genomic Networks 3
    • Hedgehog Signaling Pathway Studies 2
    • Epigenetics and DNA Methylation 2
    • Circular RNAs in diseases 2
    • Cancer Immunotherapy and Biomarkers 4

Daniel D’Andrea

24 papers receiving 638 citations

Peers

Daniel D’Andrea
Comparison fields: 5 of 86
  • Cancer Research 211
  • Molecular Biology 461
  • Immunology 101
  • Oncology 94
  • Hepatology 24
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Citations per field
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Citations per year

Countries citing papers authored by Daniel D’Andrea

Since Specialization
Citations

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

Fields of papers citing papers by Daniel D’Andrea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel D’Andrea. 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 Daniel D’Andrea. The network helps show where Daniel D’Andrea may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201483
2 201364
3 201564
4 201753
5 201750
6 201744
7 201534
8 201833
9 201330
10 201830
11 202027
12
201825
13 202319
14 201018
15 202213
16 201413
17 202211
18 201010
19 20248
20 20214

About Daniel D’Andrea

Daniel D’Andrea is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Epidemiology, having authored 25 papers that have together received 640 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), RNA Research and Splicing (3 papers), Bioinformatics and Genomic Networks (3 papers), MicroRNA in disease regulation (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer-related molecular mechanisms research (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (211 citations), Molecular Biology (461 citations), Immunology (101 citations), Oncology (94 citations) and Hepatology (24 citations). Daniel D’Andrea has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Anna Tramontano, Krzysztof Fidelis, Bohdan Monastyrskyy, Andriy Kryshtafovych, Daniela Verzella, Luigi Grassi, Daria Capece, Guido Franzoso, Federica Begalli and Jason Bennett. Their work appears in journals such as Scientific Reports, Proteins Structure Function and Bioinformatics, The International Journal of Biochemistry & Cell Biology, Nature Communications and BMC Bioinformatics.

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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