Giancarlo Tonolo

6.2k citations
107 papers · 3.2k · h-index 34

Impact in

Papers in

Giancarlo Tonolo

103 papers receiving 3.1k citations

Peers

Giancarlo Tonolo
Comparison fields: 5 of 130
  • Endocrinology, Diabetes and Metabolism 974
  • Nephrology 402
  • Cardiology and Cardiovascular Medicine 1.0k
  • Periodontics 192
  • Obstetrics and Gynecology 196
Replace Chikako Ito with:
Chikako Ito Japan
Tatsuo Kawai Japan
Meena S. Madhur United States
Kishio Nanjo Japan
F Kokot Poland
Giulio Mengozzi Italy
Renzo Navalesi Italy
M. Loredana Marcovecchio Italy
Dee Pei Taiwan
Gabriella Gruden Italy
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Citations per field
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Citations per year

Countries citing papers authored by Giancarlo Tonolo

Since Specialization
Citations

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

Fields of papers citing papers by Giancarlo Tonolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005204
2 1999179
3 1995145
4 1986145
5 1996125
6 2000115
7 200293
8 199889
9 201083
10 198779
11 198874
12 200670
13 201665
14 198765
15 198863
16 199660
17 201256
18 198756
19 201253
20
Serum metabolomic profiles suggest influence of sex and oral contraceptive use.
201451

About Giancarlo Tonolo

Giancarlo Tonolo is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery and Nephrology, having authored 107 papers that have together received 3.2k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (15 papers), Renin-Angiotensin System Studies (14 papers), Hormonal Regulation and Hypertension (14 papers), Blood Pressure and Hypertension Studies (13 papers), Diabetes Treatment and Management (10 papers), Chronic Kidney Disease and Diabetes (9 papers), Diabetes Management and Research (6 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (974 citations), Nephrology (402 citations), Cardiology and Cardiovascular Medicine (1.0k citations), Periodontics (192 citations) and Obstetrics and Gynecology (196 citations). Giancarlo Tonolo has collaborated with scholars based in Italy, United Kingdom and Sweden. Frequent co-authors include R. Nosadini, Mark Richards, P. Brizzi, Mario Maioli, Nicola Glorioso, Robert Fraser, M. Ciccarese, Margherita Maioli, Sara Cherchi and Ilaria Campesi. Their work appears in journals such as Journal of Hypertension, Clinical Science, American Journal of Physiology-Endocrinology and Metabolism, Diabetes and Journal of Cardiovascular Pharmacology.

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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