Antonino Previti

42 total papers · 418 total citations
14 papers, 316 citations indexed

About

Antonino Previti is a scholar working on Biomedical Engineering, Automotive Engineering and Biomaterials. According to data from OpenAlex, Antonino Previti has authored 14 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 4 papers in Automotive Engineering and 3 papers in Biomaterials. Recurrent topics in Antonino Previti's work include 3D Printing in Biomedical Research (6 papers), Additive Manufacturing and 3D Printing Technologies (4 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Antonino Previti is often cited by papers focused on 3D Printing in Biomedical Research (6 papers), Additive Manufacturing and 3D Printing Technologies (4 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Antonino Previti collaborates with scholars based in Italy and United Kingdom. Antonino Previti's co-authors include Giovanni Vozzi, Arti Ahluwalia, Danilo De Rossi, Massimo A. Mariani, Giovanni Pioggia, Caterina Cristallini, Gianluca Ciardelli, Giovanni Tantussi, Pierantonio Macchia and Attilio Boner and has published in prestigious journals such as Journal of the American Society of Nephrology, Nephrology Dialysis Transplantation and Tissue Engineering.

In The Last Decade

Antonino Previti

11 papers receiving 302 citations

Author Peers

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

Author						Papers	Cites
Antonino Previti	243	141	68	58	23	14	316
Yun Wu	259 1.1×	133 0.9×	86 1.3×	37 0.6×	25 1.1×	13	336
Byeongmin Kang	262 1.1×	77 0.5×	83 1.2×	96 1.7×	14 0.6×	12	345
Gui Wu	177 0.7×	85 0.6×	42 0.6×	76 1.3×	24 1.0×	23	298
Majd Machour	234 1.0×	83 0.6×	88 1.3×	98 1.7×	6 0.3×	19	313
Aurora De Acutis	135 0.6×	80 0.6×	87 1.3×	22 0.4×	10 0.4×	13	291
Katharina Kruppa	267 1.1×	112 0.8×	69 1.0×	48 0.8×	8 0.3×	6	330
Stefan Schrüfer	271 1.1×	121 0.9×	71 1.0×	45 0.8×	10 0.4×	23	354
Samuel VanGordon	160 0.7×	34 0.2×	41 0.6×	82 1.4×	22 1.0×	11	314
Christen J. Boyer	113 0.5×	62 0.4×	46 0.7×	78 1.3×	5 0.2×	16	282
Jin Fei Yeo	191 0.8×	93 0.7×	50 0.7×	51 0.9×	28 1.2×	14	351

Countries citing papers authored by Antonino Previti

Since Specialization

Citations

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

Fields of papers citing papers by Antonino Previti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonino Previti

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