Veronica Veschi

1.6k citations
27 papers · 756 · h-index 17

Impact in

Papers in

    • Epigenetics and DNA Methylation 6
    • Protein Degradation and Inhibitors 4
    • Ubiquitin and proteasome pathways 3
    • Histone Deacetylase Inhibitors Research 3
    • Cell death mechanisms and regulation 2
    • Neuroblastoma Research and Treatments 12

Veronica Veschi

26 papers receiving 745 citations

Peers

Veronica Veschi
Comparison fields: 5 of 62
  • Neurology 196
  • Cancer Research 160
  • Oncology 272
  • Molecular Biology 440
  • Immunology 100
Replace Khalid Abubaker with:
Khalid Abubaker Australia
Andrew E. Tee Australia
Kristina Althoff Germany
Adam Cheuk United States
Emma Bell United Kingdom
Pasqualino De Antonellis Italy
Daibiao Xiao China
Abdelkader Selmi France
Enzo Gallo Italy
Jyoti Srivastava United States
Veronica Veschi relative to Khalid Abubaker Australia Khalid Abubaker's profile →
Citations per field
00.5×3.9×
Khalid Abubaker · 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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019116
2 201779
3 202167
4 201860
5 201649
6 201935
7 201034
8 202032
9 201532
10 202131
11 201228
12 201221
13 202521
14 201920
15 201420
16 201220
17 202216
18 200815
19 202114
20 202212

About Veronica Veschi

Veronica Veschi is a scholar working on Molecular Biology, Neurology, Oncology, Cancer Research and Immunology, having authored 27 papers that have together received 756 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (12 papers), Cancer Cells and Metastasis (6 papers), Epigenetics and DNA Methylation (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Protein Degradation and Inhibitors (4 papers), Ubiquitin and proteasome pathways (3 papers), Histone Deacetylase Inhibitors Research (3 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Neurology (196 citations), Cancer Research (160 citations), Oncology (272 citations), Molecular Biology (440 citations) and Immunology (100 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, Paola Bianca, Marialaura Petroni, Alberto Gulino and Aurora Chinnici. Their work appears in journals such as Frontiers in Oncology, Frontiers in Endocrinology, Cancer Research, Cell Death and Differentiation 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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