Francesca Malvano

48 total papers · 746 total citations
34 papers, 559 citations indexed

About

Francesca Malvano is a scholar working on Food Science, Molecular Biology and Plant Science. According to data from OpenAlex, Francesca Malvano has authored 34 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Food Science, 10 papers in Molecular Biology and 8 papers in Plant Science. Recurrent topics in Francesca Malvano's work include Nanocomposite Films for Food Packaging (7 papers), Food Chemistry and Fat Analysis (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Francesca Malvano is often cited by papers focused on Nanocomposite Films for Food Packaging (7 papers), Food Chemistry and Fat Analysis (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Francesca Malvano collaborates with scholars based in Italy, Austria and Spain. Francesca Malvano's co-authors include Donatella Albanese, Roberto Pilloton, Marisa Di Matteo, A. Crescitelli, Angela Michela Immacolata Montone, Federico Capuano, Rosanna Capparelli, E. Esposito, Francesco Marra and Luciano Cinquanta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Francesca Malvano

33 papers receiving 543 citations

Author Peers

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

Author						Papers	Cites
Francesca Malvano	270	212	116	112	82	34	559
Faridah Salam	257 1.0×	281 1.3×	51 0.4×	92 0.8×	49 0.6×	27	554
Xianhao Zhang	104 0.4×	148 0.7×	89 0.8×	115 1.0×	43 0.5×	32	605
Carlúcio Roberto Alves	193 0.7×	232 1.1×	115 1.0×	91 0.8×	51 0.6×	66	617
Biresaw Demelash Abera	137 0.5×	172 0.8×	77 0.7×	109 1.0×	110 1.3×	26	530
Shahram Naghizadeh Raeisi	143 0.5×	121 0.6×	235 2.0×	198 1.8×	106 1.3×	39	687
Yan Huang	400 1.5×	244 1.2×	70 0.6×	154 1.4×	31 0.4×	29	680
Yavor Ivanov	218 0.8×	96 0.5×	69 0.6×	221 2.0×	132 1.6×	50	646
Joost L.D. Nelis	257 1.0×	291 1.4×	56 0.5×	63 0.6×	44 0.5×	26	643
Siriwan Teepoo	286 1.1×	307 1.4×	26 0.2×	149 1.3×	33 0.4×	39	559
Eun‐Seon Lee	223 0.8×	225 1.1×	76 0.7×	99 0.9×	25 0.3×	29	544

Countries citing papers authored by Francesca Malvano

Since Specialization

Citations

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

Fields of papers citing papers by Francesca Malvano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Malvano

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