Michele Arnone

32 papers receiving 2.8k citations

Peers

Michele Arnone
Comparison fields: 5 of 100
  • Pharmacology 1.8k
  • Endocrine and Autonomic Systems 388
  • Cellular and Molecular Neuroscience 784
  • Endocrinology, Diabetes and Metabolism 646
  • Hepatology 192
Replace G. A. Cabral with:
G. A. Cabral United States
Monsif Bouaboula France
Sylvaine Galiègue France
Jonathan R. S. Arch United Kingdom
Krzysztof W. Nowak Poland
J. Ludovic Croxford United States
Regis R. Vollmer United States
Roger D. Reidelberger United States
Yoshitake Terano Japan
Sabine Wendlandt United Kingdom
Michele Arnone relative to G. A. Cabral United States G. A. Cabral's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michele Arnone

Since Specialization
Citations

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

Fields of papers citing papers by Michele Arnone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997538
2 2004510
3 2003505
4 2005310
5 2007260
6 2004110
7 198099
8 198091
9 198986
10 201071
11 198560
12 199358
13 201644
14 198738
15 199836
16 198028
17 199927
18 199323
19 198319
20 199315

About Michele Arnone

Michele Arnone is a scholar working on Hepatology, Cellular and Molecular Neuroscience, Epidemiology, Pharmacology and Small Animals, having authored 32 papers that have together received 3.0k indexed citations. Recurring topics across this work include Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (8 papers), Liver Disease Diagnosis and Treatment (8 papers), Cannabis and Cannabinoid Research (5 papers), Receptor Mechanisms and Signaling (3 papers), Pancreatic function and diabetes (3 papers), Animal Behavior and Welfare Studies (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Pharmacology (1.8k citations), Endocrine and Autonomic Systems (388 citations), Cellular and Molecular Neuroscience (784 citations), Endocrinology, Diabetes and Metabolism (646 citations) and Hepatology (192 citations). Michele Arnone has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Philippe Soubrié, Gérard Le Fur, Christel J. Menet, Robert Dantzer, Martine Poncelet, Jeanne Maruani, Marie-Hélène Thiébot, Frédérique Chaperon, Peter Keane and Jean‐Pierre Maffrand. Their work appears in journals such as Human Heredity, Journal of Pharmacology and Experimental Therapeutics, Blood, Journal of Pediatric Gastroenterology and Nutrition and International Journal of Obesity.

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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