Mario Arciello

23 papers receiving 1.0k citations

Peers

Mario Arciello
Comparison fields: 5 of 110
  • Biochemistry 142
  • Nutrition and Dietetics 269
  • Health, Toxicology and Mutagenesis 132
  • Hepatology 56
  • Physiology 164
Replace Vladimir Mishin with:
Vladimir Mishin United States
Stefania Miccadei Italy
Shohda A. El‐Maraghy Egypt
Thekkuttuparambil Ananthanarayanan Ajith India
Gui‐Hong Zheng China
Pierangelo Torquato Italy
Gérard Lescoat France
Emad H. M. Hassanein Egypt
Amjid Ahad India
Gregory Moore Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Mario Arciello

Since Specialization
Citations

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

Fields of papers citing papers by Mario Arciello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014244
2 2008183
3 200479
4 201373
5 201469
6 201968
7 200760
8 201859
9 201647
10
Copper imbalance and oxidative stress in neurodegeneration.
200740
11 200926
12 201324
13 200922
14 201222
15 201015
16 201412
17 201512
18 201112
19 20112
20 20151

About Mario Arciello

Mario Arciello is a scholar working on Nutrition and Dietetics, Epidemiology, Molecular Biology, Physiology and Surgery, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Trace Elements in Health (10 papers), Liver Disease Diagnosis and Treatment (7 papers), Alzheimer's disease research and treatments (5 papers), Cholesterol and Lipid Metabolism (4 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Prion Diseases and Protein Misfolding (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Biochemistry (142 citations), Nutrition and Dietetics (269 citations), Health, Toxicology and Mutagenesis (132 citations), Hepatology (56 citations) and Physiology (164 citations). Mario Arciello has collaborated with scholars based in Italy, France and Malaysia. Frequent co-authors include Luisa Rossi, Clara Balsano, Giuseppe Rotilio, Concetta Capo, Roberta Maggio, Barbara Barbaro, Mirko Tarocchi, Andrea Galli, Manuele Gori and Sonia Mazzitelli. Their work appears in journals such as BioMetals, Journal of Cellular Physiology, International Journal of Molecular Sciences, Digestive and Liver Disease and Biochemical and Biophysical Research Communications.

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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