M. A. Pasquale

62 total papers · 802 total citations
37 papers, 619 citations indexed

About

M. A. Pasquale is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Surfaces, Coatings and Films. According to data from OpenAlex, M. A. Pasquale has authored 37 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 11 papers in Electrical and Electronic Engineering and 9 papers in Surfaces, Coatings and Films. Recurrent topics in M. A. Pasquale's work include Electrodeposition and Electroless Coatings (9 papers), Mathematical Biology Tumor Growth (8 papers) and Polymer Surface Interaction Studies (8 papers). M. A. Pasquale is often cited by papers focused on Electrodeposition and Electroless Coatings (9 papers), Mathematical Biology Tumor Growth (8 papers) and Polymer Surface Interaction Studies (8 papers). M. A. Pasquale collaborates with scholars based in Argentina, Spain and United States. M. A. Pasquale's co-authors include A.J. Arvía, A.J. Arvía, L.M. Gassa, A.E. Bolzán, Nicolás Muzzio, Pedro Horacio González, María Ana Huergo, Omar Azzaroni, Sergio Moya and Eleftheria Diamanti and has published in prestigious journals such as Chemistry of Materials, The Journal of Physical Chemistry B and Physical Review B.

In The Last Decade

M. A. Pasquale

37 papers receiving 609 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. A. Pasquale 231 169 165 100 100 37 619
Paweł J. Żuk 82 0.4× 88 0.5× 216 1.3× 7 0.1× 25 0.3× 34 554
David Welch 234 1.0× 175 1.0× 108 0.7× 80 0.8× 51 0.5× 16 672
Guolong Zhu 31 0.1× 294 1.7× 132 0.8× 63 0.6× 8 0.1× 25 584
Ali Sahari 241 1.0× 124 0.7× 240 1.5× 15 0.1× 80 0.8× 36 550
Christof Gutsche 53 0.2× 85 0.5× 227 1.4× 129 1.3× 14 0.1× 26 542
Xinyi Lin 162 0.7× 152 0.9× 215 1.3× 7 0.1× 64 0.6× 24 594
Laurent Vonna 112 0.5× 145 0.9× 164 1.0× 120 1.2× 12 0.1× 44 571
Tomonori Nomoto 75 0.3× 147 0.9× 92 0.6× 35 0.3× 27 0.3× 38 567
Nam-Kyung Lee 37 0.2× 172 1.0× 157 1.0× 79 0.8× 8 0.1× 66 681
Anthony E. McDonald 241 1.0× 270 1.6× 221 1.3× 27 0.3× 14 0.1× 41 592

Countries citing papers authored by M. A. Pasquale

Since Specialization
Citations

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

Fields of papers citing papers by M. A. Pasquale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. A. Pasquale

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