Mario Vitali

64 total papers · 925 total citations
48 papers, 672 citations indexed

About

Mario Vitali is a scholar working on Psychiatry and Mental health, Epidemiology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Mario Vitali has authored 48 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Psychiatry and Mental health, 11 papers in Epidemiology and 9 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Mario Vitali's work include Substance Abuse Treatment and Outcomes (11 papers), Prenatal Substance Exposure Effects (8 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Mario Vitali is often cited by papers focused on Substance Abuse Treatment and Outcomes (11 papers), Prenatal Substance Exposure Effects (8 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Mario Vitali collaborates with scholars based in Italy, United States and Australia. Mario Vitali's co-authors include Mauro Ceccanti, Marco Fiore, Graham A.R. Johnston, Giampiero Ferraguti, Rosanna Mancinelli, Marisa Patrizia Messina, Carla Petrella, Antonio Greco, Marina Romeo and Massimo Ralli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and Human Reproduction.

In The Last Decade

Mario Vitali

46 papers receiving 657 citations

Author Peers

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

Author Last Decade Papers Cites
Mario Vitali 144 139 138 94 89 48 672
Marisa Patrizia Messina 118 0.8× 114 0.8× 133 1.0× 170 1.8× 111 1.2× 42 687
Markus Banger 99 0.7× 134 1.0× 72 0.5× 50 0.5× 86 1.0× 43 687
Anna E. Kirkland 110 0.8× 109 0.8× 62 0.4× 73 0.8× 60 0.7× 32 740
Jochen Mutschler 191 1.3× 155 1.1× 92 0.7× 43 0.5× 92 1.0× 57 718
Meera Vaswani 76 0.5× 211 1.5× 163 1.2× 47 0.5× 50 0.6× 29 717
Rasmon Kalayasiri 150 1.0× 218 1.6× 90 0.7× 39 0.4× 53 0.6× 40 586
Yasukazu Ogai 72 0.5× 161 1.2× 141 1.0× 143 1.5× 31 0.3× 39 655
John E. Peachey 175 1.2× 161 1.2× 126 0.9× 46 0.5× 222 2.5× 36 695
Loretta Piccenna 118 0.8× 113 0.8× 84 0.6× 110 1.2× 47 0.5× 30 696
Halina Matsumoto 77 0.5× 150 1.1× 63 0.5× 45 0.5× 150 1.7× 25 563

Countries citing papers authored by Mario Vitali

Since Specialization
Citations

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

Fields of papers citing papers by Mario Vitali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Vitali

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Vitali. A scholar is included among the top collaborators of Mario Vitali 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 Mario Vitali. Mario Vitali 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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