Federica D’Aurizio

2.5k citations
60 papers · 1.4k indexed · h-index 22
Topics
Thyroid Cancer Diagnosis and Treatment (17 papers)Thyroid Disorders and Treatments (15 papers)Pituitary Gland Disorders and Treatments (6 papers)
Partner nations
ItalySwitzerlandGermany

In The Last Decade

Federica D’Aurizio

57 papers receiving 1.4k citations

Peers

Federica D’Aurizio
Comparison fields: 5 of 125
  • Molecular Biology 437
  • Endocrinology, Diabetes and Metabolism 411
  • Surgery 252
  • Oncology 166
  • Pathology and Forensic Medicine 163
Replace An‐Hang Yang with:
An‐Hang Yang Taiwan
Tim Ulinski France
Masanobu Miyazaki Japan
Wallace G. Campbell United States
Debra A. Hullett United States
Dıclehan Orhan Türkiye
Masayuki Endoh Japan
Hangjun Wang Canada
Hae Il Cheong South Korea
Anna Balcerska Poland
Federica D’Aurizio relative to An‐Hang Yang Taiwan An‐Hang Yang's profile →
Citations per field
00.5×2.6×
An‐Hang Yang · 1×
Citations per year

Countries citing papers authored by Federica D’Aurizio

Since Specialization
Citations

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

Fields of papers citing papers by Federica D’Aurizio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federica D’Aurizio. 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 Federica D’Aurizio. The network helps show where Federica D’Aurizio may publish in the future.

Co-authorship network of co-authors of Federica D’Aurizio

This figure shows the co-authorship network connecting the top 25 collaborators of Federica D’Aurizio. A scholar is included among the top collaborators of Federica D’Aurizio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Federica D’Aurizio. Federica D’Aurizio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 6
4 3
5 5
6 9
7 15
8 7
9 3
10 37
11 19
12 13
13 19
14 19
15 9
16 15
17 51
18 14
19
Abstract 2113: Age and Pathology Impair Cardiac Stem Cells
2
20 2

About Federica D’Aurizio

Federica D’Aurizio is a scholar working on Endocrinology, Diabetes and Metabolism, Family Practice and Genetics, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (17 papers), Thyroid Disorders and Treatments (15 papers) and Pituitary Gland Disorders and Treatments (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (411 citations), Genetics (129 citations) and Pathology and Forensic Medicine (163 citations). Federica D’Aurizio has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Renato Tozzoli, Luca Giovanella, Danilo Villalta, Paolo Doretto, Maura Pandolfi, Giuseppe Damante, Daniela Cesselli, Francesco Curcio, Antonio Paolo Beltrami and Gianluca Tell. Their work appears in journals such as Circulation, PLoS ONE and Circulation Research.

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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