A. Maione

460 citations
8 papers · 246 · h-index 6

Impact in

Papers in

A. Maione

8 papers receiving 238 citations

Peers

A. Maione
Comparison fields: 5 of 48
  • Nephrology 51
  • Endocrinology, Diabetes and Metabolism 117
  • Cardiology and Cardiovascular Medicine 63
  • Genetics 21
  • Surgery 25
Replace A.J.M. Donker with:
A.J.M. Donker Netherlands
Ip Tim Lau China
R Estacio United States
Raija Lithovius Finland
J Raison France
George Bakris United States
Victoria Mendoza‐Zubieta Mexico
Itaru Hisauchi Japan
Maria Kazani Greece
Maija Feodoroff Finland
A. Maione relative to A.J.M. Donker Netherlands A.J.M. Donker's profile →
Citations per field
00.5×10×15×18×
A.J.M. Donker · 1×
Citations per year

Countries citing papers authored by A. Maione

Since Specialization
Citations

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

Fields of papers citing papers by A. Maione

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 200894
2 201183
3 200730
4 202112
5 200912
6 200911
7
[Angiotensin converting enzyme inhibitors, angiotensin receptor blockers and combined therapy in microalbuminuric patients with one or more cardiovascular risk factors. Protocol of the Long-term Impact of RAS Inhibition on Cardiorenal Outcomes randomized trial (LIRICO).].
20162
8
Risk factors for the development and progression of renal diseases in disadvantaged populations: role of the renin-angiotensin system blockade.
20092

About A. Maione

A. Maione is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Nephrology, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 8 papers that have together received 246 indexed citations. Recurring topics across this work include Diabetes Management and Research (2 papers), Blood Pressure and Hypertension Studies (2 papers), Diabetes Treatment and Management (1 paper), Healthcare Systems and Reforms (1 paper), Dialysis and Renal Disease Management (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Birth, Development, and Health (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Nephrology (51 citations), Endocrinology, Diabetes and Metabolism (117 citations), Cardiology and Cardiovascular Medicine (63 citations), Genetics (21 citations) and Surgery (25 citations). A. Maione has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Antonio Nicolucci, Giovanni FM Strippoli, L. Morviducci, A. Girelli, Ester Vitacolonna, Monica Franciosi, F Capani, Paolo Di Bartolo, Daniela Bruttomesso and Frida Leonetti. Their work appears in journals such as Nutrition Metabolism and Cardiovascular Diseases, Journal of Nephrology, Nephrology Dialysis Transplantation, American Journal of Hypertension and Diabetic Medicine.

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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