Giulia Canu

711 citations
29 papers · 517 · h-index 10

Impact in

Papers in

Giulia Canu

28 papers receiving 501 citations

Peers

Giulia Canu
Comparison fields: 5 of 74
  • Clinical Biochemistry 138
  • Molecular Medicine 39
  • Endocrinology 31
  • Infectious Diseases 88
  • Pediatrics, Perinatology and Child Health 77
Replace Chiara Russo with:
Chiara Russo Italy
Hidayeth Rostane France
Andrea Deutschmann Austria
Courtni E. Allen United States
Amy Cheng United States
Mark Verway Canada
Tongsheng Guo China
Michael L. Neugent United States
Sonia Souza United States
Giulia Canu relative to Chiara Russo Italy Chiara Russo's profile →
Citations per field
00.5×7.2×
Chiara Russo · 1×
Citations per year

Countries citing papers authored by Giulia Canu

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Canu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011176
2 201362
3 201657
4 201236
5 200834
6 201527
7
Calcitonin measurement in fine-needle aspirate washouts vs. cytologic examination for diagnosis of primary or metastatic medullary thyroid carcinoma.
201422
8 201714
9 201010
10 20209
11 20238
12 20228
13 20117
14 20226
15 20146
16 20145
17 20105
18 20144
19 20243
20 20243

About Giulia Canu

Giulia Canu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Surgery and Cardiology and Cardiovascular Medicine, having authored 29 papers that have together received 517 indexed citations. Recurring topics across this work include Neonatal Health and Biochemistry (3 papers), Cardiovascular Effects of Exercise (2 papers), Hormonal and reproductive studies (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Methemoglobinemia and Tumor Lysis Syndrome (2 papers), Estrogen and related hormone effects (2 papers), Protein Tyrosine Phosphatases (2 papers) and Genetics and Physical Performance (2 papers). The work is most often cited by research in Clinical Biochemistry (138 citations), Molecular Medicine (39 citations), Endocrinology (31 citations), Infectious Diseases (88 citations) and Pediatrics, Perinatology and Child Health (77 citations). Giulia Canu has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Angelo Minucci, Ettore Capoluongo, Cecilia Zuppi, Maria De Bonis, Barbara Fiori, Mario Tumbarello, Teresa Spanu, Tiziana D’Inzeo, Maurizio Sanguinetti and Gabriella Parisi. Their work appears in journals such as Clinica Chimica Acta, Journal of Clinical Microbiology, Blood Cells Molecules and Diseases, Genes and Molecular Biology Reports.

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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