Eleonora Molinaro

8.0k citations
122 papers · 5.3k indexed · 1 hit paper · h-index 39

Impact in

Papers in

Eleonora Molinaro

116 papers receiving 5.1k citations

Hit Papers

Anaplastic thyroid carcinoma: from clinicopathology to genetics and advanced therapies 2017 · 347 citations
3472017202620202023100200300

Peers

Eleonora Molinaro
Comparison fields: 5 of 112
  • Endocrinology, Diabetes and Metabolism 4.3k
  • Anatomy 79
  • Surgery 1.7k
  • Oncology 998
  • Genetics 878
Replace Laura Agate with:
Laura Agate Italy
Chisato Tomoda Japan
Yuuki Takamura Japan
Naifa L. Busaidy United States
Dong Eun Song South Korea
Mitsuhiro Fukushima Japan
Clive Harmer United Kingdom
Steven G. Waguespack United States
Iwao Sugitani Japan
C Parmentier France
Eleonora Molinaro relative to Laura Agate Italy Laura Agate's profile →
Citations per field
00.5×1.5×
Laura Agate · 1×
Citations per year

Countries citing papers authored by Eleonora Molinaro

Since Specialization
Citations

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

Fields of papers citing papers by Eleonora Molinaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20235
3 20231
4 20233
5 202119
6 20217
7 202130
8 202147
9 202019
10 202033
11 202015
12 202011
13 20191
14 201530
15 201214
16 2007145
17 2007375
18
BRAF(V600E) mutations are correlated with a lower expression of both NIS and TPO mRNA expression in papillary thyroid cancer (PTC)
20071
19 200441
20 2001107

About Eleonora Molinaro

Eleonora Molinaro is a scholar working on Endocrinology, Diabetes and Metabolism, Anatomy, Pathology and Forensic Medicine, Oncology and Surgery, having authored 122 papers that have together received 5.3k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (95 papers), Thyroid and Parathyroid Surgery (25 papers), Thyroid Disorders and Treatments (20 papers), Neuroendocrine Tumor Research Advances (15 papers), Genetic factors in colorectal cancer (14 papers), BRCA gene mutations in cancer (13 papers), Cancer-related Molecular Pathways (9 papers) and Pituitary Gland Disorders and Treatments (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.3k citations), Anatomy (79 citations), Surgery (1.7k citations), Oncology (998 citations) and Genetics (878 citations). Eleonora Molinaro has collaborated with scholars based in Italy, United States and Belarus. Frequent co-authors include Rossella Elisei, Laura Agate, Aldo Pinchera, Furio Pacini, Fulvio Basolo, Cristina Romei, Valeria Bottici, Paolo Miccoli, Paolo Vitti and Francesco Lippi. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Thyroid, European Journal of Endocrinology, Cancers and European Thyroid Journal.

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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