Epifania Bono

66 total papers · 459 total citations
14 papers, 338 citations indexed

About

Epifania Bono is a scholar working on Biomedical Engineering, Surgery and Molecular Biology. According to data from OpenAlex, Epifania Bono has authored 14 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 4 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Epifania Bono's work include 3D Printing in Biomedical Research (4 papers), Bone Tissue Engineering Materials (3 papers) and Orthopaedic implants and arthroplasty (2 papers). Epifania Bono is often cited by papers focused on 3D Printing in Biomedical Research (4 papers), Bone Tissue Engineering Materials (3 papers) and Orthopaedic implants and arthroplasty (2 papers). Epifania Bono collaborates with scholars based in Switzerland, United Kingdom and Italy. Epifania Bono's co-authors include Markus Rimann, Ursula Graf‐Hausner, Italia Di Liegro, Gabriella Schiera, Alessia Gallo, Giovanni Savettieri, H. J. Keller, Stephanie Mathes, Andrew Dunbar and Nathalie Accart and has published in prestigious journals such as The Lancet, Endocrinology and Journal of Cellular and Molecular Medicine.

In The Last Decade

Epifania Bono

13 papers receiving 334 citations

Author Peers

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

Author						Papers	Cites
Epifania Bono	164	79	73	45	45	14	338
Muammer Üçal	88 0.5×	74 0.9×	64 0.9×	38 0.8×	10 0.2×	22	310
Laura Anselmi	112 0.7×	35 0.4×	92 1.3×	12 0.3×	10 0.2×	22	389
Siqi Yao	102 0.6×	30 0.4×	77 1.1×	10 0.2×	13 0.3×	30	394
Wangqiang Sun	168 1.0×	84 1.1×	82 1.1×	12 0.3×	7 0.2×	13	399
Chanho Kong	188 1.1×	23 0.3×	35 0.5×	53 1.2×	16 0.4×	20	336
Yu-Jen Wang	86 0.5×	22 0.3×	72 1.0×	8 0.2×	70 1.6×	7	337
Liucheng Ding	99 0.6×	47 0.6×	46 0.6×	4 0.1×	16 0.4×	21	300
Akriti Sharma	164 1.0×	36 0.5×	44 0.6×	5 0.1×	20 0.4×	30	329
J. Lowry Curley	246 1.5×	45 0.6×	69 0.9×	4 0.1×	7 0.2×	16	364
Sha Hua	100 0.6×	41 0.5×	78 1.1×	31 0.7×	3 0.1×	17	335

Countries citing papers authored by Epifania Bono

Since Specialization

Citations

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

Fields of papers citing papers by Epifania Bono

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Epifania Bono

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