Danilo De Faveri

17 total papers · 565 total citations
13 papers, 426 citations indexed

About

Danilo De Faveri is a scholar working on Molecular Biology, Biomedical Engineering and Biotechnology. According to data from OpenAlex, Danilo De Faveri has authored 13 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Biomedical Engineering and 5 papers in Biotechnology. Recurrent topics in Danilo De Faveri's work include Microbial Metabolic Engineering and Bioproduction (5 papers), Biofuel production and bioconversion (5 papers) and Enzyme Catalysis and Immobilization (4 papers). Danilo De Faveri is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (5 papers), Biofuel production and bioconversion (5 papers) and Enzyme Catalysis and Immobilization (4 papers). Danilo De Faveri collaborates with scholars based in Italy, Brazil and Spain. Danilo De Faveri's co-authors include Patrizia Perego, Attílio Converti, Bahar Aliakbarian, Paolo Torre, Fábio Coelho Sampaio, Flávia Maria Lopes Passos, Renzo Di Felice, Alessandro Alberto Casazza, Luca Fiori and Frederico José Vieira Passos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Industrial & Engineering Chemistry Research and Journal of Food Engineering.

In The Last Decade

Danilo De Faveri

13 papers receiving 407 citations

Author Peers

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

Author Last Decade Papers Cites
Danilo De Faveri 177 153 145 93 74 13 426
Patricia Alonso Riaño 134 0.8× 141 0.9× 124 0.9× 68 0.7× 22 0.3× 17 414
Esther Trigueros 100 0.6× 158 1.0× 148 1.0× 77 0.8× 22 0.3× 20 442
Jintana Wiboonsirikul 202 1.1× 161 1.1× 107 0.7× 113 1.2× 56 0.8× 21 446
Arthur Luiz Baião Dias 97 0.5× 139 0.9× 103 0.7× 133 1.4× 35 0.5× 13 436
Micael de Andrade Lima 61 0.3× 167 1.1× 99 0.7× 166 1.8× 37 0.5× 14 397
Prasert Hanmoungjai 192 1.1× 149 1.0× 179 1.2× 33 0.4× 52 0.7× 11 457
Leonardo Rescio 104 0.6× 159 1.0× 84 0.6× 246 2.6× 67 0.9× 9 426
Guillermo Santa‐María 99 0.6× 150 1.0× 112 0.8× 154 1.7× 65 0.9× 19 451
Fan Zhang 191 1.1× 116 0.8× 124 0.9× 39 0.4× 31 0.4× 26 472
Carmen María López‐Saiz 175 1.0× 81 0.5× 85 0.6× 98 1.1× 25 0.3× 25 451

Countries citing papers authored by Danilo De Faveri

Since Specialization
Citations

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

Fields of papers citing papers by Danilo De Faveri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danilo De Faveri. 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 Danilo De Faveri. The network helps show where Danilo De Faveri may publish in the future.

Co-authorship network of co-authors of Danilo De Faveri

This figure shows the co-authorship network connecting the top 25 collaborators of Danilo De Faveri. A scholar is included among the top collaborators of Danilo De Faveri 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 Danilo De Faveri. Danilo De Faveri 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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