C Pagetta

30 papers receiving 856 citations

Peers

C Pagetta
Comparison fields: 5 of 48
  • Endocrinology, Diabetes and Metabolism 544
  • Nephrology 111
  • Surgery 582
  • Anesthesiology and Pain Medicine 49
  • Anatomy 9
Replace Wai-Fan Chan with:
Wai-Fan Chan Hong Kong
P. Miccoli Italy
David Galleri Italy
P Miccoli Italy
Deepak Thomas Abraham India
Sylvie Maweja Belgium
Haruki Akasu Japan
Rixiang Gong China
Cornelia Dotzenrath Germany
Corrado Pedroni Italy
C Pagetta relative to Wai-Fan Chan Hong Kong Wai-Fan Chan's profile →
Citations per field
00.5×1.5×
Wai-Fan Chan · 1×
Citations per year

Countries citing papers authored by C Pagetta

Since Specialization
Citations

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

Fields of papers citing papers by C Pagetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006146
2 2004129
3 2006104
4 200498
5 200764
6
Diagnosis, treatment, prognostic factors and long-term outcome in papillary thyroid carcinoma.
200852
7 200247
8 201042
9
Can we avoid inadvertent parathyroidectomy during thyroid surgery?
200922
10 200116
11 200116
12 200216
13 201916
14 200216
15 200214
16 200414
17 200513
18
Surgical treatment of primary hyperparathyroidism: from bilateral neck exploration to minimally invasive surgery.
200812
19
A "pilot light" of the right non-recurrent laryngeal nerve.
201012
20
[The surgical treatment of the nodular goiter].
20085

About C Pagetta

C Pagetta is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Nephrology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 34 papers that have together received 877 indexed citations. Recurring topics across this work include Thyroid and Parathyroid Surgery (22 papers), Thyroid Cancer Diagnosis and Treatment (20 papers), Parathyroid Disorders and Treatments (10 papers), Head and Neck Anomalies (5 papers), Medical Imaging and Pathology Studies (4 papers), Voice and Speech Disorders (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Tracheal and airway disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (544 citations), Nephrology (111 citations), Surgery (582 citations), Anesthesiology and Pain Medicine (49 citations) and Anatomy (9 citations). C Pagetta has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Andrea Piotto, Antonio Toniato, Maria Rosa Pelizzo, Paolo Bernante, Domenico Rubello, Isabella Merante Boschin, Lucia Rampin, Dario Casara, Renzo Mazzarotto and Gianmaria Pennelli. Their work appears in journals such as Nuclear Medicine Communications, Langenbeck s Archives of Surgery, European Journal of Surgical Oncology, World Journal of Surgery and Clinical Chemistry and Laboratory Medicine (CCLM).

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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