Gabriela Precup

29 total papers · 897 total citations
13 papers, 519 citations indexed

About

Gabriela Precup is a scholar working on Food Science, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, Gabriela Precup has authored 13 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Food Science, 6 papers in Nutrition and Dietetics and 3 papers in Molecular Biology. Recurrent topics in Gabriela Precup's work include Microbial Metabolites in Food Biotechnology (4 papers), Food composition and properties (4 papers) and Agricultural safety and regulations (2 papers). Gabriela Precup is often cited by papers focused on Microbial Metabolites in Food Biotechnology (4 papers), Food composition and properties (4 papers) and Agricultural safety and regulations (2 papers). Gabriela Precup collaborates with scholars based in Romania, Greece and Italy. Gabriela Precup's co-authors include Dan Cristian Vodnar, Bernadette‐Emőke Teleky, Lavinia Florina Călinoiu, Cristina Bianca Pocol, Bianca Eugenia Ștefănescu, Laura Mitrea, Ioana Pop, Floricuța Ranga, Domenico Azzollini and Ruth Roldán‐Torres and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal Of Nutrition and International Journal of Environmental Research and Public Health.

In The Last Decade

Gabriela Precup

13 papers receiving 514 citations

Author Peers

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

Author Last Decade Papers Cites
Gabriela Precup 258 147 113 91 56 13 519
Paula Roca-Saavedra 174 0.7× 119 0.8× 101 0.9× 60 0.7× 91 1.6× 9 507
Mohammad Altamimi 192 0.7× 175 1.2× 166 1.5× 63 0.7× 34 0.6× 22 477
Eric Banan-Mwine Daliri 209 0.8× 118 0.8× 66 0.6× 95 1.0× 33 0.6× 17 455
Andrea Mancini 202 0.8× 169 1.1× 71 0.6× 82 0.9× 42 0.8× 22 496
Ping Xiao 295 1.1× 62 0.4× 111 1.0× 96 1.1× 30 0.5× 12 569
Isao Takehara 271 1.1× 138 0.9× 119 1.1× 132 1.5× 78 1.4× 16 590
Elvira Barroso 211 0.8× 215 1.5× 122 1.1× 66 0.7× 21 0.4× 15 556
Alison N. Beloshapka 200 0.8× 115 0.8× 123 1.1× 122 1.3× 19 0.3× 21 504
Khadijeh Abhari 258 1.0× 239 1.6× 80 0.7× 76 0.8× 26 0.5× 25 546
Angela Michelotti 249 1.0× 189 1.3× 102 0.9× 70 0.8× 18 0.3× 19 558

Countries citing papers authored by Gabriela Precup

Since Specialization
Citations

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

Fields of papers citing papers by Gabriela Precup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriela Precup

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