Mario Ferrari

13 total papers · 971 total citations
9 papers, 818 citations indexed

About

Mario Ferrari is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Small Animals. According to data from OpenAlex, Mario Ferrari has authored 9 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Small Animals. Recurrent topics in Mario Ferrari's work include Natural product bioactivities and synthesis (3 papers), Pharmacological Effects of Natural Compounds (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). Mario Ferrari is often cited by papers focused on Natural product bioactivities and synthesis (3 papers), Pharmacological Effects of Natural Compounds (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). Mario Ferrari collaborates with scholars based in Italy, United States and United Kingdom. Mario Ferrari's co-authors include Anna Maria Isetta, M. C. Fornasiero, Roberto D’Alessio, Francesco Colotta, Paola Gnocchi, Alberto Ferrari, L Gregorini, Giuseppe Mancia, Pietro M. Motta and Ermes Vanotti and has published in prestigious journals such as Circulation, The Journal of Immunology and Hypertension.

In The Last Decade

Mario Ferrari

9 papers receiving 777 citations

Hit Papers

MTT colorimetric assay fo... 1990 2026 2002 2014 1990 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Mario Ferrari 234 162 149 139 99 9 818
Anna Maria Isetta 300 1.3× 190 1.2× 177 1.2× 195 1.4× 84 0.8× 23 1.1k
Isabella Dell’Aica 396 1.7× 63 0.4× 101 0.7× 53 0.4× 59 0.6× 19 1.0k
Jie Bai 380 1.6× 200 1.2× 101 0.7× 86 0.6× 14 0.1× 31 927
Kwang-Hee Son 485 2.1× 119 0.7× 95 0.6× 62 0.4× 155 1.6× 20 976
Eduardo F. Oliveira 421 1.8× 55 0.3× 81 0.5× 74 0.5× 123 1.2× 12 980
Yuji Nonaka 349 1.5× 40 0.2× 89 0.6× 108 0.8× 75 0.8× 36 821
Sanjaya K. Mallick 306 1.3× 91 0.6× 311 2.1× 129 0.9× 60 0.6× 28 1.0k
Sarah Steer 263 1.1× 34 0.2× 46 0.3× 52 0.4× 59 0.6× 14 831
Tomoyuki Yoneta 221 0.9× 141 0.9× 61 0.4× 107 0.8× 74 0.7× 20 800
Ramasamy Raveendran 274 1.2× 20 0.1× 92 0.6× 119 0.9× 44 0.4× 24 1.0k

Countries citing papers authored by Mario Ferrari

Since Specialization
Citations

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

Fields of papers citing papers by Mario Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Ferrari

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