Maria Aspri

27 total papers · 772 total citations
15 papers, 587 citations indexed

About

Maria Aspri is a scholar working on Food Science, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Maria Aspri has authored 15 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Food Science, 6 papers in Molecular Biology and 6 papers in Animal Science and Zoology. Recurrent topics in Maria Aspri's work include Probiotics and Fermented Foods (9 papers), Meat and Animal Product Quality (6 papers) and Animal Diversity and Health Studies (5 papers). Maria Aspri is often cited by papers focused on Probiotics and Fermented Foods (9 papers), Meat and Animal Product Quality (6 papers) and Animal Diversity and Health Studies (5 papers). Maria Aspri collaborates with scholars based in Cyprus, Italy and Ireland. Maria Aspri's co-authors include Photis Papademas, Dimitrios Tsaltas, Colin Hill, Gianni Galaverna, Giulia Leni, R. Paul Ross, Paul D. Cotter, Paula M. O’Connor, Des Field and Eleni Malissiova and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Journal of Dairy Science.

In The Last Decade

Maria Aspri

14 papers receiving 566 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Aspri 449 215 152 119 87 15 587
Liliane Millet 253 0.6× 237 1.1× 63 0.4× 110 0.9× 304 3.5× 22 653
Cristiana Chiavari 383 0.9× 314 1.5× 78 0.5× 204 1.7× 57 0.7× 25 580
Primo Mariani 354 0.8× 119 0.6× 91 0.6× 135 1.1× 288 3.3× 12 581
Eugenia Manolopoulou 490 1.1× 321 1.5× 141 0.9× 118 1.0× 92 1.1× 22 614
Fabio Coloretti 340 0.8× 274 1.3× 60 0.4× 207 1.7× 38 0.4× 25 512
Parmesh K. Saini 139 0.3× 118 0.5× 48 0.3× 122 1.0× 43 0.5× 22 631
Eric D. Bastian 350 0.8× 299 1.4× 120 0.8× 110 0.9× 128 1.5× 16 676
Alison N. Beloshapka 115 0.3× 200 0.9× 123 0.8× 99 0.8× 32 0.4× 21 504
G. H. Wellington 129 0.3× 95 0.4× 83 0.5× 477 4.0× 147 1.7× 30 684
Shengyue Ji 54 0.1× 290 1.3× 45 0.3× 80 0.7× 79 0.9× 26 541

Countries citing papers authored by Maria Aspri

Since Specialization
Citations

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

Fields of papers citing papers by Maria Aspri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Aspri

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