Veronica Veschi

1.6k citations
26 papers · 701 · h-index 16

Impact in

Papers in

    • Epigenetics and DNA Methylation 6
    • Protein Degradation and Inhibitors 3
    • Ubiquitin and proteasome pathways 3
    • Signaling Pathways in Disease 2
    • Neuroblastoma Research and Treatments 11

Veronica Veschi

25 papers receiving 694 citations

Peers

Veronica Veschi
Comparison fields: 5 of 61
  • Neurology 190
  • Cancer Research 181
  • Oncology 266
  • Molecular Biology 444
  • Immunology 114
Replace Katia Balmas Bourloud with:
Katia Balmas Bourloud Switzerland
Zaowen Chen United States
Marli E. Ebus Netherlands
Adam Cheuk United States
Wendy Fang United States
Andrew E. Tee Australia
Kristina Althoff Germany
Enzo Gallo Italy
JulieAnn Rader United States
Eric Sceusi United States
Veronica Veschi relative to Katia Balmas Bourloud Switzerland Katia Balmas Bourloud's profile →
Citations per field
00.5×9.2×
Katia Balmas Bourloud · 1×
Citations per year

Countries citing papers authored by Veronica Veschi

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Veschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019104
2 201772
3 202160
4 201859
5 201647
6 201933
7 201031
8 202130
9 201530
10 202029
11 201226
12 201221
13 201920
14 201420
15 201219
16 202515
17 200815
18 202214
19 202113
20 202212

About Veronica Veschi

Veronica Veschi is a scholar working on Molecular Biology, Neurology, Oncology, Cancer Research and Immunology, having authored 26 papers that have together received 701 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (11 papers), Cancer Cells and Metastasis (6 papers), Epigenetics and DNA Methylation (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Protein Degradation and Inhibitors (3 papers), Ubiquitin and proteasome pathways (3 papers), Signaling Pathways in Disease (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Neurology (190 citations), Cancer Research (181 citations), Oncology (266 citations), Molecular Biology (444 citations) and Immunology (114 citations). Veronica Veschi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Carol J. Thiele, Giorgio Stassi, Matilde Todaro, Alice Turdo, Miriam Gaggianesi, Giuseppe Giannini, Alberto Gulino, Marialaura Petroni, Paola Bianca and Aurora Chinnici. Their work appears in journals such as Frontiers in Oncology, Frontiers in Endocrinology, Cancer Research, Molecular Carcinogenesis and Clinical Cancer Research.

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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