Laura Escrivá

42 total papers · 1.1k total citations
31 papers, 891 citations indexed

About

Laura Escrivá is a scholar working on Plant Science, Food Science and Molecular Biology. According to data from OpenAlex, Laura Escrivá has authored 31 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 17 papers in Food Science and 7 papers in Molecular Biology. Recurrent topics in Laura Escrivá's work include Mycotoxins in Agriculture and Food (19 papers), Pesticide Residue Analysis and Safety (4 papers) and Carcinogens and Genotoxicity Assessment (4 papers). Laura Escrivá is often cited by papers focused on Mycotoxins in Agriculture and Food (19 papers), Pesticide Residue Analysis and Safety (4 papers) and Carcinogens and Genotoxicity Assessment (4 papers). Laura Escrivá collaborates with scholars based in Spain, Sweden and Netherlands. Laura Escrivá's co-authors include Lara Manyes, Guillermina Font, Houda Berrada, Souheib Oueslati, Giuseppe Meca, Pilar Vila‐Donat, Yelko Rodríguez-Carrasco, María-José Ruiz, Ana Juan‐García and Manuel Alonso-Garrido and has published in prestigious journals such as Environment International, Food and Chemical Toxicology and Journal of the Science of Food and Agriculture.

In The Last Decade

Laura Escrivá

29 papers receiving 868 citations

Hit Papers

In vivo toxicity studies ... 2015 2026 2018 2022 2015 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Laura Escrivá 690 207 190 143 110 31 891
Josefa Tolosa 659 1.0× 227 1.1× 147 0.8× 104 0.7× 70 0.6× 31 856
C. Tabuc 729 1.1× 171 0.8× 120 0.6× 104 0.7× 113 1.0× 30 886
Emmanuel K. Tangni 784 1.1× 264 1.3× 108 0.6× 108 0.8× 113 1.0× 41 944
Karl De Ruyck 500 0.7× 125 0.6× 234 1.2× 85 0.6× 77 0.7× 20 860
Takumi YOSHIZAWA 870 1.3× 209 1.0× 104 0.5× 131 0.9× 250 2.3× 32 976
Joelma Lucioli 642 0.9× 114 0.6× 201 1.1× 120 0.8× 49 0.4× 21 833
A Bata 493 0.7× 172 0.8× 135 0.7× 68 0.5× 72 0.7× 31 714
Jency L. Showker 802 1.2× 97 0.5× 345 1.8× 105 0.7× 179 1.6× 19 983
Fern Bates 535 0.8× 144 0.7× 83 0.4× 129 0.9× 74 0.7× 25 733
Bénédicte Hald 734 1.1× 206 1.0× 91 0.5× 55 0.4× 93 0.8× 18 817

Countries citing papers authored by Laura Escrivá

Since Specialization
Citations

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

Fields of papers citing papers by Laura Escrivá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Escrivá

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Escrivá. A scholar is included among the top collaborators of Laura Escrivá 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 Laura Escrivá. Laura Escrivá is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026