G. Valsecchi

789 citations
11 papers · 566 indexed · h-index 10

Impact in

Papers in

G. Valsecchi

11 papers receiving 536 citations

Peers

G. Valsecchi
Comparison fields: 5 of 70
  • Physiology 302
  • Endocrinology, Diabetes and Metabolism 172
  • Cardiology and Cardiovascular Medicine 214
  • Endocrine and Autonomic Systems 40
  • Clinical Biochemistry 40
Replace G Verrazzo with:
G Verrazzo Italy
Rita Acampora Italy
G. De Mattia Italy
Michael Schwemmer Germany
H. Steinberg United States
Toshikazu Kigoshi Japan
Hideki Ikenaga Japan
Lucrezia Di Marino Italy
Gina Varricchio Italy
V J Heiling United States
G. Valsecchi relative to G Verrazzo Italy G Verrazzo's profile →
Citations per field
00.5×2.7×
G Verrazzo · 1×
Citations per year

Countries citing papers authored by G. Valsecchi

Since Specialization
Citations

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

Fields of papers citing papers by G. Valsecchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2001167
2 2003159
3 200056
4 200038
5 199934
6 200226
7 200025
8 200122
9 200017
10 199616
11 19986

About G. Valsecchi

G. Valsecchi is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 566 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (7 papers), Cardiovascular Function and Risk Factors (4 papers), Pancreatic function and diabetes (3 papers), Cardiovascular Health and Disease Prevention (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cardiac Imaging and Diagnostics (2 papers), Metabolism, Diabetes, and Cancer (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Physiology (302 citations), Endocrinology, Diabetes and Metabolism (172 citations), Cardiology and Cardiovascular Medicine (214 citations), Endocrine and Autonomic Systems (40 citations) and Clinical Biochemistry (40 citations). G. Valsecchi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Lucilla D. Monti, G. Pozza, PierMarco Piatti, Emanuela Setola, Fulvio Magni, M. Galli-Kienle, K. G. M. M. Alberti, Federica Marchesi, Antonio E. Pontiroli and Matteo Conti. Their work appears in journals such as Metabolism, The Journal of Clinical Endocrinology & Metabolism, Diabetes, Journal of Mass Spectrometry 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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