Eva M. Mateo

77 total papers · 1.7k total citations
52 papers, 1.4k citations indexed

About

Eva M. Mateo is a scholar working on Plant Science, Cell Biology and Food Science. According to data from OpenAlex, Eva M. Mateo has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 14 papers in Cell Biology and 12 papers in Food Science. Recurrent topics in Eva M. Mateo's work include Mycotoxins in Agriculture and Food (39 papers), Plant Pathogens and Fungal Diseases (14 papers) and Wheat and Barley Genetics and Pathology (10 papers). Eva M. Mateo is often cited by papers focused on Mycotoxins in Agriculture and Food (39 papers), Plant Pathogens and Fungal Diseases (14 papers) and Wheat and Barley Genetics and Pathology (10 papers). Eva M. Mateo collaborates with scholars based in Spain, United Kingdom and Italy. Eva M. Mateo's co-authors include Misericordia Jiménez, Fernando Mateo, R. Mateo, F.M. Valle-Algarra, José V. Gómez, Ángel Medina, Andrea Tarazona, José Vicente Gimeno-Adelantado, Jéssica Gil-Serna and Belén Patiño and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Chemistry - A European Journal.

In The Last Decade

Eva M. Mateo

50 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Eva M. Mateo 1.0k 398 318 160 116 52 1.4k
F.M. Valle-Algarra 976 1.0× 292 0.7× 432 1.4× 84 0.5× 112 1.0× 40 1.3k
Jakub Toman 1.2k 1.2× 325 0.8× 193 0.6× 356 2.2× 104 0.9× 23 1.6k
Baharuddin Salleh 1.1k 1.1× 328 0.8× 471 1.5× 221 1.4× 51 0.4× 49 1.5k
Jianhong Xu 907 0.9× 177 0.4× 322 1.0× 289 1.8× 105 0.9× 71 1.6k
Liliana de Oliveira Rocha 853 0.8× 270 0.7× 347 1.1× 155 1.0× 91 0.8× 59 1.2k
Jonathan Nimal Selvaraj 1.1k 1.1× 359 0.9× 393 1.2× 497 3.1× 65 0.6× 44 1.8k
Alessandra Ricelli 1.1k 1.1× 234 0.6× 325 1.0× 481 3.0× 135 1.2× 62 1.6k
Sofia Agriopoulou 777 0.8× 544 1.4× 122 0.4× 334 2.1× 86 0.7× 42 1.6k
Ksenija Markov 860 0.8× 495 1.2× 136 0.4× 247 1.5× 74 0.6× 70 1.4k
Elena Lizarraga 748 0.7× 277 0.7× 96 0.3× 166 1.0× 84 0.7× 35 1.1k

Countries citing papers authored by Eva M. Mateo

Since Specialization
Citations

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

Fields of papers citing papers by Eva M. Mateo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva M. Mateo. 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 Eva M. Mateo. The network helps show where Eva M. Mateo may publish in the future.

Co-authorship network of co-authors of Eva M. Mateo

This figure shows the co-authorship network connecting the top 25 collaborators of Eva M. Mateo. A scholar is included among the top collaborators of Eva M. Mateo 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 Eva M. Mateo. Eva M. Mateo 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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2026