Fedora della Vella

57 total papers · 990 total citations
40 papers, 650 citations indexed

About

Fedora della Vella is a scholar working on Periodontics, Pharmacy and Pathology and Forensic Medicine. According to data from OpenAlex, Fedora della Vella has authored 40 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Periodontics, 10 papers in Pharmacy and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Fedora della Vella's work include Oral Health Pathology and Treatment (13 papers), Oral microbiology and periodontitis research (11 papers) and Oral and gingival health research (10 papers). Fedora della Vella is often cited by papers focused on Oral Health Pathology and Treatment (13 papers), Oral microbiology and periodontitis research (11 papers) and Oral and gingival health research (10 papers). Fedora della Vella collaborates with scholars based in Italy, Switzerland and Russia. Fedora della Vella's co-authors include Massimo Petruzzi, Alberta Lucchese, Dario Di Stasio, Maria Contaldo, D Lauritano, R Serpico, Francesco Carinci, Antonio Romano, Giulia Moreo and Claudia Laudadio and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and International Journal of Environmental Research and Public Health.

In The Last Decade

Fedora della Vella

38 papers receiving 626 citations

Author Peers

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

Author Last Decade Papers Cites
Fedora della Vella 359 84 68 67 65 40 650
Norman Firth 182 0.5× 135 1.6× 65 1.0× 53 0.8× 81 1.2× 41 584
Francesca Amadori 248 0.7× 120 1.4× 40 0.6× 111 1.7× 62 1.0× 35 649
Giovanna Giuliana 360 1.0× 118 1.4× 138 2.0× 80 1.2× 55 0.8× 39 783
Vanja Vučićević Boras 274 0.8× 107 1.3× 74 1.1× 68 1.0× 58 0.9× 84 726
Sérgio Aparecido Ignácio 216 0.6× 104 1.2× 65 1.0× 47 0.7× 34 0.5× 71 686
Hakkı Tanyeri 284 0.8× 161 1.9× 68 1.0× 42 0.6× 35 0.5× 35 572
Vanja Vučićević‐Boras 382 1.1× 96 1.1× 79 1.2× 26 0.4× 77 1.2× 35 623
Raquel Pippi Antoniazzi 343 1.0× 167 2.0× 48 0.7× 77 1.1× 30 0.5× 58 700
Hellevi Ruokonen 386 1.1× 59 0.7× 35 0.5× 74 1.1× 100 1.5× 39 618
Danica Vidović Juras 228 0.6× 72 0.9× 103 1.5× 76 1.1× 34 0.5× 46 721

Countries citing papers authored by Fedora della Vella

Since Specialization
Citations

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

Fields of papers citing papers by Fedora della Vella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fedora della Vella. 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 Fedora della Vella. The network helps show where Fedora della Vella may publish in the future.

Co-authorship network of co-authors of Fedora della Vella

This figure shows the co-authorship network connecting the top 25 collaborators of Fedora della Vella. A scholar is included among the top collaborators of Fedora della Vella 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 Fedora della Vella. Fedora della Vella 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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