Valeria Ramundo

2.9k citations
57 papers · 2.0k · h-index 27

Impact in

Papers in

Valeria Ramundo

56 papers receiving 2.0k citations

Peers

Valeria Ramundo
Comparison fields: 5 of 87
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Oncology 413
  • Health Informatics 20
  • Neurology 206
  • Epidemiology 451
Replace Christian Scheuba with:
Christian Scheuba Austria
Iwao Sugitani Japan
Suck Joon Hong South Korea
Kepal N. Patel United States
Randall P. Owen United States
Mitsuhiro Fukushima Japan
C S Grant United States
G. Di Coscio Italy
Mitsuji Nagahama Japan
Stefano Valabrega Italy
Valeria Ramundo relative to Christian Scheuba Austria Christian Scheuba's profile →
Citations per field
00.5×10×
Christian Scheuba · 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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009223
2 2018219
3 2020180
4 201295
5 201488
6 201278
7 201963
8 201257
9 201154
10 201250
11 201945
12 201443
13 201542
14 201838
15 201438
16 202037
17 201136
18 202135
19 201835
20 201934

About Valeria Ramundo

Valeria Ramundo is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Epidemiology, Neurology and Surgery, having authored 57 papers that have together received 2.0k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (23 papers), Neuroendocrine Tumor Research Advances (14 papers), Neuroblastoma Research and Treatments (9 papers), Lung Cancer Research Studies (7 papers), Thyroid and Parathyroid Surgery (4 papers), Thyroid Disorders and Treatments (3 papers), Occupational and environmental lung diseases (3 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Oncology (413 citations), Health Informatics (20 citations), Neurology (206 citations) and Epidemiology (451 citations). Valeria Ramundo has collaborated with scholars based in Italy, Germany and Switzerland. Frequent co-authors include Giorgio Grani, Cosimo Durante, Antongiulio Faggiano, Marialuisa Sponziello, Rosa Falcone, Annamaria Colao, Sébastiano Filetti, Gaetano Lombardi, Vincenzo Marotta and Livia Lamartina. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cancers, Clinical Endocrinology, Biomarkers 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.

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