Federico Cappellacci

631 citations
26 papers · 242 indexed · h-index 10

Impact in

Papers in

Federico Cappellacci

22 papers receiving 239 citations

Peers

Federico Cappellacci
Comparison fields: 5 of 42
  • Anatomy 14
  • Endocrinology, Diabetes and Metabolism 160
  • Nephrology 43
  • Health Informatics 6
  • Surgery 142
Replace Tamás Solymosi with:
Tamás Solymosi Hungary
Min Jhi Kim South Korea
Sergio Ortiz Spain
Vania Stafyla Greece
M Freddi Italy
Jen‐Der Lin Taiwan
Fabio Cavallo Italy
Seo Ki Kim South Korea
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Jonathan Serpell Australia
Federico Cappellacci relative to Tamás Solymosi Hungary Tamás Solymosi's profile →
Citations per field
00.5×8.4×
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Citations per year

Countries citing papers authored by Federico Cappellacci

Since Specialization
Citations

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

Fields of papers citing papers by Federico Cappellacci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20244
3 20241
4 20242
5 20233
6 20233
7 20230
8 202218
9 20222
10 20220
11 202221
12 202124
13
Risk factors of permanent hypoparathyroidism after total thyroidectomy Retrospective analysis of 285 consecutive patients.
20212
14
Is extensive surgery really necessary in patients with parathyroid carcinoma? Single-centre experience and a brief review of the literature.
20214
15 202038
16 202014
17 202013
18 202012
19 20202
20 201917

About Federico Cappellacci

Federico Cappellacci is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Anatomy, Surgery and Pharmacy, having authored 26 papers that have together received 242 indexed citations. Recurring topics across this work include Thyroid and Parathyroid Surgery (15 papers), Thyroid Cancer Diagnosis and Treatment (15 papers), Parathyroid Disorders and Treatments (6 papers), Head and Neck Anomalies (5 papers), Biomarkers in Disease Mechanisms (2 papers), Thyroid Disorders and Treatments (2 papers), COVID-19 and healthcare impacts (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Anatomy (14 citations), Endocrinology, Diabetes and Metabolism (160 citations), Nephrology (43 citations), Health Informatics (6 citations) and Surgery (142 citations). Federico Cappellacci has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Fabio Medas, Gian Luigi Canu, Pietro Giorgio Calò, Enrico Erdas, Maria Letizia Lai, Giovanni Conzo, Francesco Boi, J. Pieter Noordzij, Giorgio Romano and Eleonora Lori. Their work appears in journals such as Cancers, Journal of Clinical Medicine, Journal of Personalized Medicine, International Journal of Surgery and Updates in Surgery.

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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