G. Cascardo

19 total papers · 638 total citations
13 papers, 508 citations indexed

About

G. Cascardo is a scholar working on Biomedical Engineering, Oral Surgery and Biomaterials. According to data from OpenAlex, G. Cascardo has authored 13 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 5 papers in Oral Surgery and 4 papers in Biomaterials. Recurrent topics in G. Cascardo's work include Bone Tissue Engineering Materials (8 papers), Dental Implant Techniques and Outcomes (5 papers) and Dental materials and restorations (4 papers). G. Cascardo is often cited by papers focused on Bone Tissue Engineering Materials (8 papers), Dental Implant Techniques and Outcomes (5 papers) and Dental materials and restorations (4 papers). G. Cascardo collaborates with scholars based in Italy, France and Netherlands. G. Cascardo's co-authors include Marco Morra, Clara Cassinelli, Milena Fini, Roberto Giardino, Linda Cahalan, Patrick Cahalan, Gianluca Giavaresi, Ruggero Rodriguez y Baena, Henk A. Schols and Laura Mazzucco and has published in prestigious journals such as Biomaterials, Acta Biomaterialia and Biomacromolecules.

In The Last Decade

G. Cascardo

13 papers receiving 489 citations

Author Peers

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

Author						Papers	Cites
G. Cascardo	360	149	136	121	74	13	508
Alessandro Calogero Scalia	262 0.7×	114 0.8×	68 0.5×	51 0.4×	83 1.1×	36	489
S. Soumya	259 0.7×	188 1.3×	57 0.4×	73 0.6×	41 0.6×	33	516
Ana‐Maria Stanciuc	229 0.6×	203 1.4×	70 0.5×	39 0.3×	113 1.5×	17	619
Sarada Prasanna Mallick	310 0.9×	226 1.5×	98 0.7×	70 0.6×	50 0.7×	35	560
Mostafa Shahrezaee	374 1.0×	192 1.3×	159 1.2×	79 0.7×	46 0.6×	33	591
Yukari KAWAMOTO	436 1.2×	200 1.3×	101 0.7×	117 1.0×	57 0.8×	29	532
Malika Ardhaoui	352 1.0×	181 1.2×	98 0.7×	32 0.3×	105 1.4×	12	569
Jinping Lan	371 1.0×	117 0.8×	115 0.8×	35 0.3×	179 2.4×	31	562
Wei Li	380 1.1×	114 0.8×	93 0.7×	109 0.9×	149 2.0×	19	554
Ricardo Tejero	311 0.9×	80 0.5×	150 1.1×	150 1.2×	85 1.1×	21	571

Countries citing papers authored by G. Cascardo

Since Specialization

Citations

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

Fields of papers citing papers by G. Cascardo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Cascardo

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