Franco Van de Velde

52 total papers · 891 total citations
31 papers, 706 citations indexed

About

Franco Van de Velde is a scholar working on Biochemistry, Plant Science and Food Science. According to data from OpenAlex, Franco Van de Velde has authored 31 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biochemistry, 15 papers in Plant Science and 12 papers in Food Science. Recurrent topics in Franco Van de Velde's work include Phytochemicals and Antioxidant Activities (20 papers), Postharvest Quality and Shelf Life Management (9 papers) and Protein Hydrolysis and Bioactive Peptides (4 papers). Franco Van de Velde is often cited by papers focused on Phytochemicals and Antioxidant Activities (20 papers), Postharvest Quality and Shelf Life Management (9 papers) and Protein Hydrolysis and Bioactive Peptides (4 papers). Franco Van de Velde collaborates with scholars based in Argentina, United States and Mexico. Franco Van de Velde's co-authors include María Élida Pirovani, Andrea Piagentini, Daniel R. Güemes, Mary H. Grace, Mary Ann Lila, Anna Maria Tarola, Silvina R. Drago, Débora Esposito, Antonela G. Garzón and Raffaella Preti and has published in prestigious journals such as Food Research International, Journal of Food Science and LWT.

In The Last Decade

Franco Van de Velde

28 papers receiving 689 citations

Author Peers

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

Author						Papers	Cites
Franco Van de Velde	324	303	288	119	112	31	706
Ana A. Vilas-Boas	288 0.9×	181 0.6×	398 1.4×	172 1.4×	133 1.2×	24	784
Stanisław Kalisz	330 1.0×	282 0.9×	316 1.1×	108 0.9×	116 1.0×	56	689
Siyi Pan	298 0.9×	265 0.9×	323 1.1×	149 1.3×	173 1.5×	31	778
Óscar Acosta	319 1.0×	224 0.7×	286 1.0×	109 0.9×	72 0.6×	26	664
Jyoti Nishad	226 0.7×	242 0.8×	297 1.0×	90 0.8×	109 1.0×	24	665
Arzu Altunkaya	380 1.2×	407 1.3×	228 0.8×	116 1.0×	107 1.0×	16	709
Emil Zlatić	230 0.7×	345 1.1×	338 1.2×	73 0.6×	173 1.5×	39	877
Anita Pichler	308 1.0×	238 0.8×	467 1.6×	174 1.5×	79 0.7×	58	827
Malika Barkat	202 0.6×	261 0.9×	293 1.0×	78 0.7×	97 0.9×	44	621
Cüneyt Dinçer	299 0.9×	213 0.7×	437 1.5×	104 0.9×	59 0.5×	34	737

Countries citing papers authored by Franco Van de Velde

Since Specialization

Citations

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

Fields of papers citing papers by Franco Van de Velde

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Franco Van de Velde. 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 Franco Van de Velde. The network helps show where Franco Van de Velde may publish in the future.

Co-authorship network of co-authors of Franco Van de Velde

This figure shows the co-authorship network connecting the top 25 collaborators of Franco Van de Velde. A scholar is included among the top collaborators of Franco Van de Velde 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 Franco Van de Velde. Franco Van de Velde 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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