Daniele Cusi

33.5k citations
162 papers · 4.9k indexed · h-index 37

Impact in

Papers in

Daniele Cusi

159 papers receiving 4.7k citations

Peers

Daniele Cusi
Comparison fields: 5 of 145
  • Nephrology 802
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Cardiology and Cardiovascular Medicine 1.6k
  • Nutrition and Dietetics 793
  • Pharmacology 230
Replace Shih‐Hua Lin with:
Shih‐Hua Lin Taiwan
Hannsjörg W. Seyberth Germany
Karl F. Hilgers Germany
Masayoshi Soma Japan
Roberto Zatz Brazil
Duncan J. Campbell Australia
Goji Hasegawa Japan
Takashi Uzu Japan
Matsuhiko Hayashi Japan
Atsunori Kashiwagi Japan
Daniele Cusi relative to Shih‐Hua Lin Taiwan Shih‐Hua Lin's profile →
Citations per field
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Shih‐Hua Lin · 1×
Citations per year

Countries citing papers authored by Daniele Cusi

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Cusi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202115
2 201426
3 20132
4 201246
5 200714
6 20078
7 200633
8 200542
9 200316
10 200345
11
Association between blood pressure, hypertension and polymorphisms of the aldosterone synthase and ?-adducin genes in a Belgian population study
20002
12 1998119
13
Contribution of genetic polymorphism of ACE and alpha-adducin to salt sensitivity of hypertension.
19971
14 199618
15 19931
16
Genetic aspects of ion transport systems in hypertension.
19903
17 198836
18
Genetic factors involved in ion transport abnormalities in essential hypertension
19876
19 198635
20
Neuropsychological side-effects of antihypertensive treatment
19831

About Daniele Cusi

Daniele Cusi is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics, Complementary and Manual Therapy and Cardiology and Cardiovascular Medicine, having authored 162 papers that have together received 4.9k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (32 papers), Ion Transport and Channel Regulation (31 papers), Parathyroid Disorders and Treatments (25 papers), Renal function and acid-base balance (17 papers), Birth, Development, and Health (16 papers), Renin-Angiotensin System Studies (15 papers), Magnesium in Health and Disease (13 papers) and Blood Pressure and Hypertension Studies (12 papers). The work is most often cited by research in Nephrology (802 citations), Endocrinology, Diabetes and Metabolism (1.6k citations), Cardiology and Cardiovascular Medicine (1.6k citations), Nutrition and Dietetics (793 citations) and Pharmacology (230 citations). Daniele Cusi has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Giuseppe Bianchi, Cristina Barlassina, Paolo Manunta, Chiara Lanzani, Paola Stella, Mara Ferrandi, Lorena Citterio, Giorgio Casari, Nicola Glorioso and Giuseppe Vezzoli. Their work appears in journals such as Journal of Hypertension, Hypertension, Kidney International, Journal of Nephrology and American Journal of Hypertension.

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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