M. Arnone
- Pharmacology top 0.2%
- Cellular and Molecular Neuroscience top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Physiology top 5%
- Surgery top 10%
- Co-authors
- Philippe SoubriéGérard Le FurChristel MenetMartine PonceletRobert DantzerJeanne MaruaniMarie-Hélène ThiébotFrédérique Chaperon
- Topics
- Hepatitis C virus research (8 papers)Liver Disease Diagnosis and Treatment (7 papers)Hepatitis B Virus Studies (7 papers)
- Journals
- The LancetBloodHepatology
- Partner nations
- ItalyFranceUnited States
In The Last Decade
M. Arnone
29 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Pharmacology 1.7k
- Cellular and Molecular Neuroscience 790
- Endocrinology, Diabetes and Metabolism 760
- Physiology 609
- Surgery 432
Countries citing papers authored by M. Arnone
This map shows the geographic impact of M. 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 M. Arnone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Arnone more than expected).
Fields of papers citing papers by M. Arnone
This network shows the impact of papers produced by M. 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 M. Arnone. The network helps show where M. Arnone may publish in the future.
Co-authorship network of co-authors of M. Arnone
This figure shows the co-authorship network connecting the top 25 collaborators of M. Arnone. A scholar is included among the top collaborators of M. Arnone based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Arnone. M. Arnone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 67 | |
| 2 | 243 | |
| 3 | 10 | |
| 4 | 103 | |
| 5 | 25 | |
| 6 | Selective inhibition of sucrose and ethanol intake by SR 141716, an antagonist of central cannabinoid (CB1) receptorsbreakdown → | 502 |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 23 | |
| 10 | 48 | |
| 11 | 9 | |
| 12 | [Serological study on hepatitis C (HCV) in 4371 blood donors]. | 1 |
| 13 | 37 | |
| 14 | [The presence of nucleotide sequences of the hepatitis B virus in the serum of HBsAg-negative blood donors in Sardinia]. | 1 |
| 15 | 36 | |
| 16 | 52 | |
| 17 | 7 | |
| 18 | 12 | |
| 19 | 88 | |
| 20 | 80 |
About M. Arnone
M. Arnone is a scholar working on Hepatology, Behavioral Neuroscience and Endocrine and Autonomic Systems, having authored 29 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (8 papers), Liver Disease Diagnosis and Treatment (7 papers) and Hepatitis B Virus Studies (7 papers). The work is most often cited by research in Pharmacology (1.7k citations), Endocrine and Autonomic Systems (410 citations) and Endocrinology, Diabetes and Metabolism (760 citations). M. Arnone has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Philippe Soubrié, Gérard Le Fur, Christel Menet, Martine Poncelet, Robert Dantzer, Jeanne Maruani, Marie-Hélène Thiébot, Frédérique Chaperon, Peter Keane and Jean‐Pierre Maffrand. Their work appears in journals such as The Lancet, Blood and Hepatology.
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.