Michele Gaio

32 total papers · 480 total citations
12 papers, 361 citations indexed

About

Michele Gaio is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Michele Gaio has authored 12 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atomic and Molecular Physics, and Optics, 6 papers in Biomedical Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Michele Gaio's work include Plasmonic and Surface Plasmon Research (5 papers), Photonic Crystals and Applications (5 papers) and Photonic and Optical Devices (4 papers). Michele Gaio is often cited by papers focused on Plasmonic and Surface Plasmon Research (5 papers), Photonic Crystals and Applications (5 papers) and Photonic and Optical Devices (4 papers). Michele Gaio collaborates with scholars based in United Kingdom, Italy and United States. Michele Gaio's co-authors include Riccardo Sapienza, Benedetto Marelli, Fiorenzo G. Omenetto, Soraya Caixeiro, Dario Pisignano, Andrea Camposeo, Marta Castro-López, Dhruv Saxena, Jacopo Bertolotti and Stefan A. Maier and has published in prestigious journals such as Nature Communications, Nano Letters and ACS Nano.

In The Last Decade

Michele Gaio

12 papers receiving 348 citations

Author Peers

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

Author						Papers	Cites
Michele Gaio	197	162	127	117	53	12	361
Soraya Caixeiro	152 0.8×	124 0.8×	104 0.8×	90 0.8×	14 0.3×	16	299
Nicolas Bachelard	268 1.4×	266 1.6×	96 0.8×	64 0.5×	77 1.5×	16	398
Anjani Kumar Tiwari	204 1.0×	186 1.1×	83 0.7×	73 0.6×	49 0.9×	34	303
Moussa N’Gom	129 0.7×	101 0.6×	80 0.6×	182 1.6×	26 0.5×	27	354
Fabrizio Sgrignuoli	155 0.8×	75 0.5×	133 1.0×	139 1.2×	27 0.5×	23	329
Shun Wen	147 0.7×	28 0.2×	107 0.8×	117 1.0×	25 0.5×	12	370
Cynthia Vidal	121 0.6×	117 0.7×	69 0.5×	132 1.1×	16 0.3×	12	337
Jing Wang	172 0.9×	167 1.0×	136 1.1×	69 0.6×	40 0.8×	22	334
Bismarck Costa Lima	207 1.1×	242 1.5×	135 1.1×	56 0.5×	69 1.3×	19	390
Fan Ye	81 0.4×	44 0.3×	53 0.4×	95 0.8×	7 0.1×	16	295

Countries citing papers authored by Michele Gaio

Since Specialization

Citations

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

Fields of papers citing papers by Michele Gaio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Gaio

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