Uberta Verga

1.4k citations
28 papers · 843 · h-index 15

Impact in

Papers in

Uberta Verga

28 papers receiving 820 citations

Peers

Uberta Verga
Comparison fields: 5 of 44
  • Endocrinology, Diabetes and Metabolism 474
  • Nephrology 128
  • Orthopedics and Sports Medicine 62
  • Epidemiology 196
  • Neurology 75
Replace A. Pia with:
A. Pia Italy
Stine Lyngvi Fougner Norway
Ansgar Heck Norway
Lars‐Erik Tisell Sweden
L. M. Sandler United Kingdom
Anne‐Greth Bondeson Sweden
Meg Keil United States
G Finkenstedt Austria
N. Thalassinos Greece
Debra H. Schussheim United States
Uberta Verga relative to A. Pia Italy A. Pia's profile →
Citations per field
00.5×1.5×2.2×
A. Pia · 1×
Citations per year

Countries citing papers authored by Uberta Verga

Since Specialization
Citations

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

Fields of papers citing papers by Uberta Verga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013115
2 200386
3 199784
4 201173
5 201469
6 200455
7 199851
8 200841
9 201238
10 200733
11 201331
12 200426
13 200618
14 200516
15 200114
16 201514
17
The role of radiopharmaceuticals MIBG and (V) DMSA in the diagnosis of medullary thyroid carcinoma.
198914
18 201813
19 201313
20 201511

About Uberta Verga

Uberta Verga is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology, Nephrology and Neurology, having authored 28 papers that have together received 843 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (13 papers), Neuroendocrine Tumor Research Advances (7 papers), Pituitary Gland Disorders and Treatments (5 papers), Parathyroid Disorders and Treatments (5 papers), Neuroblastoma Research and Treatments (3 papers), Thyroid Disorders and Treatments (3 papers), S100 Proteins and Annexins (2 papers) and Neurofibromatosis and Schwannoma Cases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (474 citations), Nephrology (128 citations), Orthopedics and Sports Medicine (62 citations), Epidemiology (196 citations) and Neurology (75 citations). Uberta Verga has collaborated with scholars based in Italy, Netherlands and Iran. Frequent co-authors include Paolo Beck‐Peccoz, Laura Fugazzola, A. Libroia, Vittorio Colantuoni, Marcello Filopanti, Loredana Quadro, D. Cortelazzi, Leonardo Vicentini, Stefano Ferrero and Luca Persani. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, European Journal of Endocrinology, Hormone Research in Paediatrics and Thyroid.

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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