M. Daniela Angione

24 total papers · 635 total citations
15 papers, 534 citations indexed

About

M. Daniela Angione is a scholar working on Electrical and Electronic Engineering, Bioengineering and Surfaces, Coatings and Films. According to data from OpenAlex, M. Daniela Angione has authored 15 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 6 papers in Bioengineering and 4 papers in Surfaces, Coatings and Films. Recurrent topics in M. Daniela Angione's work include Analytical Chemistry and Sensors (6 papers), Polymer Surface Interaction Studies (4 papers) and Electrochemical Analysis and Applications (3 papers). M. Daniela Angione is often cited by papers focused on Analytical Chemistry and Sensors (6 papers), Polymer Surface Interaction Studies (4 papers) and Electrochemical Analysis and Applications (3 papers). M. Daniela Angione collaborates with scholars based in Italy, Ireland and Sweden. M. Daniela Angione's co-authors include Luisa Torsi, Nicola Cioffi, Luigia Sabbatini, Serafina Cotrone, Antonia Mallardi, Maria Magliulo, Gerardo Palazzo, Rosa Pilolli, Eoin M. Scanlan and Paula E. Colavita and has published in prestigious journals such as Proceedings of the National Academy of Sciences, ACS Nano and Chemistry of Materials.

In The Last Decade

M. Daniela Angione

15 papers receiving 519 citations

Author Peers

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

Author						Papers	Cites
M. Daniela Angione	314	194	175	152	100	15	534
Serafina Cotrone	350 1.1×	247 1.3×	185 1.1×	226 1.5×	97 1.0×	11	556
Matthias Sachsenhauser	270 0.9×	85 0.4×	141 0.8×	85 0.6×	215 2.1×	16	472
Gonzalo E. Fenoy	326 1.0×	214 1.1×	252 1.4×	133 0.9×	106 1.1×	24	556
Ileana‐Alexandra Pavel	256 0.8×	157 0.8×	222 1.3×	53 0.3×	106 1.1×	17	597
Sarah A. Spanninga	234 0.7×	348 1.8×	258 1.5×	81 0.5×	126 1.3×	11	600
B. Fahys	273 0.9×	113 0.6×	87 0.5×	49 0.3×	184 1.8×	19	566
John A. Hondred	299 1.0×	64 0.3×	333 1.9×	86 0.6×	174 1.7×	16	603
Yuki Koizumi	288 0.9×	194 1.0×	136 0.8×	36 0.2×	108 1.1×	17	530
Santiago David Quiroga	338 1.1×	123 0.6×	144 0.8×	57 0.4×	126 1.3×	16	494
Emilia Peltola	328 1.0×	141 0.7×	78 0.4×	63 0.4×	111 1.1×	26	469

Countries citing papers authored by M. Daniela Angione

Since Specialization

Citations

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

Fields of papers citing papers by M. Daniela Angione

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Daniela Angione

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