Núria Banyuls

811 total citations
9 papers, 577 citations indexed

About

Núria Banyuls is a scholar working on Insect Science, Molecular Biology and Plant Science. According to data from OpenAlex, Núria Banyuls has authored 9 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Insect Science, 8 papers in Molecular Biology and 1 paper in Plant Science. Recurrent topics in Núria Banyuls's work include Insect Resistance and Genetics (8 papers), Insect and Pesticide Research (7 papers) and Entomopathogenic Microorganisms in Pest Control (7 papers). Núria Banyuls is often cited by papers focused on Insect Resistance and Genetics (8 papers), Insect and Pesticide Research (7 papers) and Entomopathogenic Microorganisms in Pest Control (7 papers). Núria Banyuls collaborates with scholars based in Spain, Australia and Italy. Núria Banyuls's co-authors include Juan Ferré, Yolanda Bel, Baltasar Escriche, Maissa Chakroun, Danilo Ercolini, Francesco Pennacchio, Morena Casartelli, Silvia Gigliotti, Paola Varricchio and Gianluca Tettamanti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Microbiology and Molecular Biology Reviews.

In The Last Decade

Núria Banyuls

9 papers receiving 567 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Núria Banyuls Spain 9 499 486 185 24 19 9 577
Marlinda Lobo de Souza Brazil 12 516 1.0× 386 0.8× 92 0.5× 32 1.3× 35 1.8× 37 580
Jean-Louis Schwartz Canada 6 541 1.1× 439 0.9× 135 0.7× 21 0.9× 22 1.2× 7 563
Maissa Chakroun Spain 14 794 1.6× 684 1.4× 315 1.7× 12 0.5× 19 1.0× 18 813
Patricia Hernández‐Martínez Spain 15 730 1.5× 667 1.4× 325 1.8× 41 1.7× 9 0.5× 34 799
Liuhong Zhu China 11 402 0.8× 279 0.6× 183 1.0× 15 0.6× 7 0.4× 14 451
Ruchir Mishra United States 7 291 0.6× 261 0.5× 109 0.6× 7 0.3× 10 0.5× 19 322
Luisa Elena Fernández Mexico 8 615 1.2× 523 1.1× 255 1.4× 13 0.5× 14 0.7× 11 637
Nikolai A.M. van Beek United States 12 416 0.8× 324 0.7× 99 0.5× 24 1.0× 18 0.9× 18 480
R.E. Milne Canada 14 617 1.2× 533 1.1× 251 1.4× 13 0.5× 26 1.4× 18 635
G. A. Langenbruch Germany 8 392 0.8× 371 0.8× 230 1.2× 11 0.5× 21 1.1× 21 466

Countries citing papers authored by Núria Banyuls

Since Specialization
Citations

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

Fields of papers citing papers by Núria Banyuls

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Núria Banyuls

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

All Works

9 of 9 papers shown
1.
Banyuls, Núria, et al.. (2020). Effect of substitutions of key residues on the stability and the insecticidal activity of Vip3Af from Bacillus thuringiensis. Journal of Invertebrate Pathology. 186. 107439–107439. 8 indexed citations
2.
Banyuls, Núria, Patricia Hernández‐Martínez, Yudong Quan, & Juan Ferré. (2018). Artefactual band patterns by SDS-PAGE of the Vip3Af protein in the presence of proteases mask the extremely high stability of this protein. International Journal of Biological Macromolecules. 120(Pt A). 59–65. 11 indexed citations
3.
Banyuls, Núria, Carmen Sara Hernández‐Rodríguez, Jeroen Van Rie, & Juan Ferré. (2018). Critical amino acids for the insecticidal activity of Vip3Af from Bacillus thuringiensis: Inference on structural aspects. Scientific Reports. 8(1). 7539–7539. 26 indexed citations
4.
Bel, Yolanda, Núria Banyuls, Maissa Chakroun, Baltasar Escriche, & Juan Ferré. (2017). Insights into the Structure of the Vip3Aa Insecticidal Protein by Protease Digestion Analysis. Toxins. 9(4). 131–131. 42 indexed citations
5.
Caccia, Silvia, Ilaria Di Lelio, Antonietta La Storia, et al.. (2016). Midgut microbiota and host immunocompetence underlie Bacillus thuringiensis killing mechanism. Proceedings of the National Academy of Sciences. 113(34). 9486–9491. 145 indexed citations
6.
Chakroun, Maissa, et al.. (2016). Characterization of the resistance to Vip3Aa in Helicoverpa armigera from Australia and the role of midgut processing and receptor binding. Scientific Reports. 6(1). 24311–24311. 53 indexed citations
7.
Chakroun, Maissa, Núria Banyuls, Yolanda Bel, Baltasar Escriche, & Juan Ferré. (2016). Bacterial Vegetative Insecticidal Proteins (Vip) from Entomopathogenic Bacteria. Microbiology and Molecular Biology Reviews. 80(2). 329–350. 205 indexed citations
8.
Escudero, Íñigo Ruiz de, Núria Banyuls, Yolanda Bel, et al.. (2014). A screening of five Bacillus thuringiensis Vip3A proteins for their activity against lepidopteran pests. Journal of Invertebrate Pathology. 117. 51–55. 69 indexed citations

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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