Virginia Andreotti

1.2k citations
25 papers · 506 · h-index 13

Impact in

  • Oncology top 10%
    • Cutaneous Melanoma Detection and Management
    • Cancer-related Molecular Pathways
    • Cancer Genomics and Diagnostics

Papers in

    • Melanoma and MAPK Pathways 7
    • DNA Repair Mechanisms 5
    • Epigenetics and DNA Methylation 3
    • RNA modifications and cancer 3
    • Cutaneous Melanoma Detection and Management 6
    • Cancer-related Molecular Pathways 6

Virginia Andreotti

24 papers receiving 502 citations

Peers

Virginia Andreotti
Comparison fields: 5 of 73
  • Oncology 256
  • Cancer Research 103
  • Molecular Biology 359
  • Cell Biology 49
  • Immunology 62
Replace Zuncai Wang with:
Zuncai Wang United States
Anita Muthukaruppan New Zealand
Irina Dobromilskaya United States
Smruti J. Vidwans United States
Sierra A. Colavito United States
Anke Wienecke-Baldacchino Luxembourg
Joana Carvalho United Kingdom
Naeem Dowidar United States
Aaron Patrick United States
Ji Wen United States
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Citations per field
00.5×2.9×
Zuncai Wang · 1×
Citations per year

Countries citing papers authored by Virginia Andreotti

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Andreotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Virginia Andreotti, 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 Virginia Andreotti Line = papers co-authored together Virginia Andreotti 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 202073
2 200270
3 201266
4 202043
5 201137
6 201629
7 202025
8 202022
9 201021
10 201520
11 201520
12 200817
13 201813
14 200511
15 201711
16 20158
17 20225
18 20224
19 20074
20 20242

About Virginia Andreotti

Virginia Andreotti is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 25 papers that have together received 506 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (7 papers), Cutaneous Melanoma Detection and Management (6 papers), Cancer-related Molecular Pathways (6 papers), DNA Repair Mechanisms (5 papers), Cancer Genomics and Diagnostics (4 papers), Virus-based gene therapy research (3 papers), Epigenetics and DNA Methylation (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Oncology (256 citations), Cancer Research (103 citations), Molecular Biology (359 citations), Cell Biology (49 citations) and Immunology (62 citations). Virginia Andreotti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Paola Ghiorzo, William Bruno, Francesco Spagnolo, Enrica T. Tanda, Irene Vanni, Lorenza Pastorino, Andrea Boutros, Alberto Inga, Paola Queirolo and Yari Ciribilli. Their work appears in journals such as Frontiers in Molecular Biosciences, Oncotarget, PLoS ONE, Pigment Cell & Melanoma Research and International Journal of Molecular Sciences.

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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