M Ferrero

48 total papers · 1.0k total citations
27 papers, 829 citations indexed

About

M Ferrero is a scholar working on Psychiatry and Mental health, Pathology and Forensic Medicine and Physiology. According to data from OpenAlex, M Ferrero has authored 27 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Psychiatry and Mental health, 8 papers in Pathology and Forensic Medicine and 7 papers in Physiology. Recurrent topics in M Ferrero's work include Migraine and Headache Studies (9 papers), Sympathectomy and Hyperhidrosis Treatments (6 papers) and Ophthalmology and Eye Disorders (5 papers). M Ferrero is often cited by papers focused on Migraine and Headache Studies (9 papers), Sympathectomy and Hyperhidrosis Treatments (6 papers) and Ophthalmology and Eye Disorders (5 papers). M Ferrero collaborates with scholars based in Italy, France and United States. M Ferrero's co-authors include Roberto Dovesi, Lorenzo Pinessi, Innocenzo Rainero, Roberto Orlando, Michel Rérat, Giovanna Vaula, Yves Nöel, Walter Valfrè, Elisa Rubino and Loredana Valenzano and has published in prestigious journals such as The Journal of Physical Chemistry B, Neurology and Physical Review B.

In The Last Decade

M Ferrero

26 papers receiving 808 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M Ferrero 257 252 124 100 97 27 829
Paola Martino 294 1.1× 175 0.7× 86 0.7× 100 1.0× 130 1.3× 49 989
J. Daval 53 0.2× 87 0.3× 107 0.9× 23 0.2× 73 0.8× 47 1.0k
Saša Šega Jazbec 50 0.2× 124 0.5× 29 0.2× 204 2.0× 31 0.3× 36 869
Kathryn E. Brown 158 0.6× 113 0.4× 22 0.2× 223 2.2× 27 0.3× 26 931
A Lévy 98 0.4× 89 0.4× 63 0.5× 18 0.2× 120 1.2× 39 831
Seiji Kimura 89 0.3× 152 0.6× 11 0.1× 57 0.6× 57 0.6× 44 819
William L. Bell 253 1.0× 311 1.2× 27 0.2× 8 0.1× 22 0.2× 50 1.0k
Houshang Amiri 75 0.3× 157 0.6× 43 0.3× 117 1.2× 81 0.8× 36 934
Atsuko Uchida 33 0.1× 32 0.1× 114 0.9× 29 0.3× 55 0.6× 35 859
Daoyong Li 12 0.0× 227 0.9× 84 0.7× 247 2.5× 30 0.3× 41 1.1k

Countries citing papers authored by M Ferrero

Since Specialization
Citations

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

Fields of papers citing papers by M Ferrero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Ferrero

This figure shows the co-authorship network connecting the top 25 collaborators of M Ferrero. A scholar is included among the top collaborators of M Ferrero 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 Ferrero. M Ferrero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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