Francesco Barbero

53 total papers · 1.2k total citations
31 papers, 701 citations indexed

About

Francesco Barbero is a scholar working on Materials Chemistry, Molecular Biology and Immunology. According to data from OpenAlex, Francesco Barbero has authored 31 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 10 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Francesco Barbero's work include Nanoparticles: synthesis and applications (13 papers), RNA Interference and Gene Delivery (5 papers) and Gold and Silver Nanoparticles Synthesis and Applications (4 papers). Francesco Barbero is often cited by papers focused on Nanoparticles: synthesis and applications (13 papers), RNA Interference and Gene Delivery (5 papers) and Gold and Silver Nanoparticles Synthesis and Applications (4 papers). Francesco Barbero collaborates with scholars based in Italy, Spain and Slovenia. Francesco Barbero's co-authors include Víctor Puntes, Neus G. Bastús, Martí Busquets‐Fité, Lorenzo Russo, Rita Grandori, Jordi Piella, Eudald Casals, Salvatore Iannotta, Clara Santato and Giuseppe Tarabella and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Chemosphere.

In The Last Decade

Francesco Barbero

29 papers receiving 690 citations

Author Peers

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

Author						Papers	Cites
Francesco Barbero	252	193	158	152	97	31	701
Łukasz Krzemiński	207 0.8×	139 0.7×	99 0.6×	213 1.4×	96 1.0×	35	703
Viviana A. Rivarola	216 0.9×	347 1.8×	68 0.4×	104 0.7×	55 0.6×	25	636
Jean‐Sébastien Thomann	205 0.8×	264 1.4×	113 0.7×	195 1.3×	160 1.6×	42	790
Melanie Kucki	503 2.0×	443 2.3×	105 0.7×	81 0.5×	94 1.0×	15	848
Koki Kanehira	398 1.6×	358 1.9×	147 0.9×	137 0.9×	55 0.6×	21	802
Yu Wen	240 1.0×	375 1.9×	160 1.0×	123 0.8×	69 0.7×	22	735
Shuo Feng	147 0.6×	159 0.8×	81 0.5×	343 2.3×	59 0.6×	47	836
Luis Exequiel Ibarra	171 0.7×	451 2.3×	163 1.0×	130 0.9×	54 0.6×	34	761
Shuji Sonezaki	373 1.5×	294 1.5×	100 0.6×	230 1.5×	70 0.7×	26	794
Géraldine Coullerez	91 0.4×	188 1.0×	218 1.4×	225 1.5×	85 0.9×	22	711

Countries citing papers authored by Francesco Barbero

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Barbero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Barbero

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