Tamara Canu

51 papers receiving 1.8k citations

Peers

Tamara Canu
Comparison fields: 5 of 112
  • Cardiology and Cardiovascular Medicine 533
  • Endocrinology, Diabetes and Metabolism 379
  • Epidemiology 579
  • Clinical Biochemistry 110
  • Physiology 351
Replace Yıldırım Karslıoğlu with:
Yıldırım Karslıoğlu Türkiye
Nobuo Nakashima Japan
Monica V. Talor United States
Björn Tampe Germany
N. Cary United Kingdom
Philippe Linscheid Switzerland
Masayuki Endoh Japan
Agnes M. Azimzadeh United States
Federica D’Aurizio Italy
Edith Speir United States
Tamara Canu relative to Yıldırım Karslıoğlu Türkiye Yıldırım Karslıoğlu's profile →
Citations per field
00.5×6.9×
Yıldırım Karslıoğlu · 1×
Citations per year

Countries citing papers authored by Tamara Canu

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Canu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007255
2 2006182
3 2007172
4 2015142
5 2008104
6 200687
7 200561
8 202254
9 201852
10 200548
11 200747
12 200745
13 201344
14 200742
15 200640
16 201437
17 201535
18 201432
19 201929
20 201828

About Tamara Canu

Tamara Canu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Oncology and Surgery, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Pancreatic and Hepatic Oncology Research (6 papers), Advanced MRI Techniques and Applications (5 papers), Cardiac Imaging and Diagnostics (4 papers), Cardiovascular Effects of Exercise (4 papers), Pancreatic function and diabetes (4 papers) and Cardiac Structural Anomalies and Repair (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (533 citations), Endocrinology, Diabetes and Metabolism (379 citations), Epidemiology (579 citations), Clinical Biochemistry (110 citations) and Physiology (351 citations). Tamara Canu has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Antonio Esposito, Alessandro Del Maschio, Francesco De Cobelli, Gianluca Perseghin, Elena Belloni, Paola Scifo, Livio Luzi, Guido Lattuada, Francesca Ragogna and Georgia Ntali. Their work appears in journals such as American Journal of Transplantation, International Journal of Cardiology, JACC. Cardiovascular imaging, The Journal of Immunology and Diabetes Care.

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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