Valeria Ramundo

2.9k citations
62 papers · 2.3k · h-index 28

Impact in

Papers in

Valeria Ramundo

61 papers receiving 2.2k citations

Peers

Valeria Ramundo
Comparison fields: 5 of 58
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Epidemiology 393
  • Nephrology 69
  • Oncology 59
  • Hepatology 21
Replace Brendan M. Finnerty with:
Brendan M. Finnerty United States
Arnaud Jannin France
Jamie C. Mitchell United States
Marco Aurélio Vamondes Kulcsar Brazil
Cristina Álvarez‐Escolá Spain
Marco Bononi Italy
Chi K. Lai United States
Jennifer L. Marti United States
Izumi Komoto Japan
Jennifer A. Sipos United States
Valeria Ramundo relative to Brendan M. Finnerty United States Brendan M. Finnerty's profile →
Citations per field
00.5×2×4×6×7×
Brendan M. Finnerty · 1×
Citations per year

Countries citing papers authored by Valeria Ramundo

Since Specialization
Citations

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

Fields of papers citing papers by Valeria Ramundo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018244
2 2009235
3 2020204
4 2012104
5 201494
6 201285
7 201969
8 201163
9 201258
10 201254
11 201948
12 200747
13 201447
14 201547
15 201142
16 201441
17 201841
18 201838
19 202038
20
Thyroid diseases in elderly.
201137

About Valeria Ramundo

Valeria Ramundo is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Nephrology, Internal Medicine and Oncology, having authored 62 papers that have together received 2.3k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (30 papers), Neuroendocrine Tumor Research Advances (13 papers), Parathyroid Disorders and Treatments (3 papers), Lysosomal Storage Disorders Research (2 papers), TGF-β signaling in diseases (2 papers), Occupational and environmental lung diseases (2 papers), Thyroid Disorders and Treatments (2 papers) and Adrenal and Paraganglionic Tumors (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Epidemiology (393 citations), Nephrology (69 citations), Oncology (59 citations) and Hepatology (21 citations). Valeria Ramundo has collaborated with scholars based in Italy, Switzerland and France. Frequent co-authors include Giorgio Grani, Cosimo Durante, Antongiulio Faggiano, Marialuisa Sponziello, Annamaria Colao, Rosa Falcone, Gaetano Lombardi, Sébastiano Filetti, Vincenzo Marotta and Livia Lamartina. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, Cancers, Journal of Cellular and Molecular Medicine 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.

Explore authors with similar magnitude of impact