Veronica Vella

3.3k citations
68 papers · 2.6k · h-index 31

Impact in

Papers in

Veronica Vella

63 papers receiving 2.6k citations

Peers

Veronica Vella
Comparison fields: 5 of 116
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Cancer Research 590
  • Oncology 677
  • Immunology and Allergy 127
  • Molecular Biology 1.4k
Replace Roberta Malaguarnera with:
Roberta Malaguarnera Italy
Ralph Buttyan United States
Alexander Kirschenbaum United States
Hung‐Ming Lam United States
Iván P. Uray United States
Ángel Baldán United States
Eva Surmacz United States
Lawrence S. Argetsinger United States
Yumi Takiyama Japan
Chongren Tang United States
Veronica Vella relative to Roberta Malaguarnera Italy Roberta Malaguarnera's profile →
Citations per field
00.5×1.5×
Roberta Malaguarnera · 1×
Citations per year

Countries citing papers authored by Veronica Vella

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Vella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017282
2 2008205
3 2002184
4 2001141
5 2010130
6 199986
7 201880
8 201768
9 201567
10 200760
11 200156
12 201556
13 201450
14 201149
15 201747
16 201847
17
p73 tumor-suppressor activity is impaired in human thyroid cancer.
200344
18 201143
19 201642
20 200241

About Veronica Vella

Veronica Vella is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Oncology, Cancer Research and Genetics, having authored 68 papers that have together received 2.6k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (18 papers), Thyroid Cancer Diagnosis and Treatment (17 papers), Metabolism, Diabetes, and Cancer (15 papers), Cancer, Hypoxia, and Metabolism (14 papers), Cancer-related Molecular Pathways (11 papers), Thyroid Disorders and Treatments (7 papers), Cancer Cells and Metastasis (6 papers) and Cancer, Lipids, and Metabolism (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Cancer Research (590 citations), Oncology (677 citations), Immunology and Allergy (127 citations) and Molecular Biology (1.4k citations). Veronica Vella has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Antonino Belfiore, Riccardo Vigneri, Roberta Malaguarnera, Francesco Frasca, Laura Sciacca, Andrea Morrione, Giuseppe Pandini, Maria Luisa Nicolosi, Paolo Vigneri and Rosamaria Lappano. Their work appears in journals such as Frontiers in Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Endocrine Related Cancer, Oncotarget and Cancers.

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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