Daniele Cusi

33.9k citations
162 papers · 4.9k · h-index 37

Impact in

Papers in

    • Parathyroid Disorders and Treatments 22
    • Renal function and acid-base balance 11
    • Ion Transport and Channel Regulation 25

Daniele Cusi

159 papers receiving 4.7k citations

Peers

Daniele Cusi
Comparison fields: 5 of 143
  • Nephrology 684
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Nutrition and Dietetics 644
  • Pharmacology 217
Replace Shih‐Hua Lin with:
Shih‐Hua Lin Taiwan
Karl F. Hilgers Germany
Masayoshi Soma Japan
Boye L. Jensen Denmark
José Manuel Valdivielso Spain
Matsuhiko Hayashi Japan
Takashi Uzu Japan
Satoshi Umemura Japan
Hajime Orimo Japan
Duncan J. Campbell Australia
Daniele Cusi relative to Shih‐Hua Lin Taiwan Shih‐Hua Lin's profile →
Citations per field
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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

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010448
2 1997416
3 1994237
4 1999143
5 2010134
6 1995131
7 2003125
8 2002120
9 1998118
10 1999116
11 1999101
12 200195
13 200792
14 198687
15 197984
16 201475
17 200068
18 201163
19 200761
20 198161

About Daniele Cusi

Daniele Cusi is a scholar working on Nephrology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Nutrition and Dietetics, having authored 162 papers that have together received 4.9k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (25 papers), Ion Transport and Channel Regulation (25 papers), Parathyroid Disorders and Treatments (22 papers), Birth, Development, and Health (16 papers), Renin-Angiotensin System Studies (15 papers), Renal function and acid-base balance (11 papers), Magnesium in Health and Disease (10 papers) and Electrolyte and hormonal disorders (9 papers). The work is most often cited by research in Nephrology (684 citations), Endocrinology, Diabetes and Metabolism (1.2k citations), Cardiology and Cardiovascular Medicine (1.3k citations), Nutrition and Dietetics (644 citations) and Pharmacology (217 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 PLoS ONE.

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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