S. Taddei

1.0k citations
29 papers · 734 · h-index 13

Impact in

Papers in

S. Taddei

28 papers receiving 704 citations

Peers

S. Taddei
Comparison fields: 5 of 80
  • Endocrinology, Diabetes and Metabolism 323
  • Cardiology and Cardiovascular Medicine 272
  • Physiology 143
  • Endocrine and Autonomic Systems 36
  • Pathology and Forensic Medicine 76
Replace Kumiko Furuki with:
Kumiko Furuki Japan
Ervin Szoke United States
R. Acampora Italy
Tomás Quesada Spain
Silvia Paiardi Italy
Gianpaolo Bernini Italy
Audrey D. Bell–Farrow United States
Anne Capriotti United States
Sandra Zoncu Italy
Kenzo Uchida Japan
S. Taddei relative to Kumiko Furuki Japan Kumiko Furuki's profile →
Citations per field
00.5×1.5×1.8×
Kumiko Furuki · 1×
Citations per year

Countries citing papers authored by S. Taddei

Since Specialization
Citations

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

Fields of papers citing papers by S. Taddei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Taddei, 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 S. Taddei Line = papers co-authored together S. Taddei 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 2004287
2 199883
3 200156
4 200635
5 200833
6 201431
7 200730
8 200629
9 202123
10 201023
11 201217
12 200714
13 199212
14 199211
15 19899
16 19908
17 19967
18 19937
19 20256
20 20053

About S. Taddei

S. Taddei is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Physiology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 29 papers that have together received 734 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (9 papers), Cardiovascular Health and Disease Prevention (8 papers), Hormonal Regulation and Hypertension (4 papers), Nitric Oxide and Endothelin Effects (4 papers), Heart Rate Variability and Autonomic Control (4 papers), Renal and Vascular Pathologies (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Cardiovascular and exercise physiology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (323 citations), Cardiology and Cardiovascular Medicine (272 citations), Physiology (143 citations), Endocrine and Autonomic Systems (36 citations) and Pathology and Forensic Medicine (76 citations). S. Taddei has collaborated with scholars based in Italy, France and Switzerland. Frequent co-authors include Agostino Virdis, Lorenzo Ghiadoni, F. Vittone, Fabio Monzani, Carlo Palombo, Eleuterio Ferrannini, Nadia Caraccio, Angela Dardano, A. Salvetti and Paola Mattei. Their work appears in journals such as Journal of Hypertension, American Journal of Hypertension, Hypertension, Journal of Cardiovascular Pharmacology and Current Pharmaceutical Design.

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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