Angela D’Angelo

10.9k citations
319 papers · 8.0k indexed · h-index 45

Impact in

Papers in

Angela D’Angelo

317 papers receiving 7.8k citations

Peers

Angela D’Angelo
Comparison fields: 5 of 156
  • Nephrology 1.2k
  • Clinical Biochemistry 847
  • Endocrinology, Diabetes and Metabolism 2.1k
  • Nutrition and Dietetics 710
  • Pharmacology 757
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Michiaki Fukui Japan
Guntram Schernthaner Austria
Jorge Luiz Gross Brazil
Muredach P. Reilly United States
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Citations per year

Countries citing papers authored by Angela D’Angelo

Since Specialization
Citations

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

Fields of papers citing papers by Angela D’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angela D’Angelo. 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 Angela D’Angelo. The network helps show where Angela D’Angelo may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20246
3 20228
4
Safety and Efficacy of Alpha Lipoic Acid During 4 Years of Observation: A Retrospective, Clinical Trial in Healthy Subjects in Primary Prevention
20201
5
An Evaluation of a Nutraceutical with Berberine, Curcumin, Inositol, Banaba and Chromium Picolinate in Patients with Fasting Dysglycemia
20201
6 202018
7 20205
8 202016
9 201737
10 20173
11 201514
12 201316
13
Primary IgA nephropathy is more severe in TGF-beta1 high secretor patients.
201012
14 20071
15 200512
16 20059
17 20014
18 199615
19 19903
20
Low-protein diets and bone disease in chronic renal failure.
19785

About Angela D’Angelo

Angela D’Angelo is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 319 papers that have together received 8.0k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (37 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (37 papers), Metabolism, Diabetes, and Cancer (32 papers), Pharmacology and Obesity Treatment (28 papers), Parathyroid Disorders and Treatments (28 papers), Blood Pressure and Hypertension Studies (24 papers), Lipoproteins and Cardiovascular Health (21 papers) and Adipokines, Inflammation, and Metabolic Diseases (21 papers). The work is most often cited by research in Nephrology (1.2k citations), Clinical Biochemistry (847 citations), Endocrinology, Diabetes and Metabolism (2.1k citations), Nutrition and Dietetics (710 citations) and Pharmacology (757 citations). Angela D’Angelo has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Giuseppe Derosa, Pamela Maffioli, Arrigo F.G. Cicero, Elena Fogari, Ilaria Ferrari, Giovanni Gambaro, Sibilla Salvadeo, Diego Geroldi, Enzo Emanuele and Franca Anglani. Their work appears in journals such as ˜The œNephron journals/Nephron journals, Expert Opinion on Pharmacotherapy, Hypertension Research, Journal of Nephrology and American Journal of Nephrology.

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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