Clara Ugolini

7.2k citations
145 papers · 4.8k · h-index 39

Impact in

Papers in

Clara Ugolini

133 papers receiving 4.7k citations

Peers

Clara Ugolini
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 3.2k
  • Oncology 860
  • Cancer Research 324
  • Pathology and Forensic Medicine 330
  • Surgery 779
Replace Won Gu Kim with:
Won Gu Kim South Korea
Liborio Torregrossa Italy
Dario Giuffrida Italy
Dong Eun Song South Korea
Takashi Uruno Japan
Abir Al Ghuzlan France
Brigitte Franc France
John E. Phay United States
Guy Andry Belgium
Salvatore Sorrenti Italy
Clara Ugolini relative to Won Gu Kim South Korea Won Gu Kim's profile →
Citations per field
00.5×1.5×
Won Gu Kim · 1×
Citations per year

Countries citing papers authored by Clara Ugolini

Since Specialization
Citations

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

Fields of papers citing papers by Clara Ugolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008403
2 2007324
3 2012189
4 2009188
5 2010184
6 2007153
7 2019144
8 2012125
9 2010122
10 200794
11 201091
12 200890
13 201184
14 201673
15 200773
16 201972
17 200764
18 201662
19 201261
20 201060

About Clara Ugolini

Clara Ugolini is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Surgery, Pathology and Forensic Medicine and Molecular Biology, having authored 145 papers that have together received 4.8k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (88 papers), Genetic factors in colorectal cancer (15 papers), Cancer-related Molecular Pathways (11 papers), BRCA gene mutations in cancer (10 papers), Colorectal Cancer Treatments and Studies (9 papers), Thyroid and Parathyroid Surgery (8 papers), Head and Neck Anomalies (6 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.2k citations), Oncology (860 citations), Cancer Research (324 citations), Pathology and Forensic Medicine (330 citations) and Surgery (779 citations). Clara Ugolini has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include Fulvio Basolo, Paolo Miccoli, Rossella Elisei, Aldo Pinchera, Paolo Vitti, Riccardo Giannini, Cristina Romei, Piero Berti, Gabriele Materazzi and Cristiana Lupi. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Thyroid, Endocrine Related Cancer, Journal of Clinical Oncology and European Journal of Endocrinology.

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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