Antonio J. Matas

8.1k total citations
53 papers, 3.5k citations indexed

About

Antonio J. Matas is a scholar working on Plant Science, Molecular Biology and Mechanical Engineering. According to data from OpenAlex, Antonio J. Matas has authored 53 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Plant Science, 20 papers in Molecular Biology and 7 papers in Mechanical Engineering. Recurrent topics in Antonio J. Matas's work include Postharvest Quality and Shelf Life Management (27 papers), Plant Surface Properties and Treatments (18 papers) and Plant Physiology and Cultivation Studies (10 papers). Antonio J. Matas is often cited by papers focused on Postharvest Quality and Shelf Life Management (27 papers), Plant Surface Properties and Treatments (18 papers) and Plant Physiology and Cultivation Studies (10 papers). Antonio J. Matas collaborates with scholars based in Spain, United States and United Kingdom. Antonio J. Matas's co-authors include Jocelyn K. C. Rose, ‎Tal Isaacson, Antonio Heredia, José A. Mercado, Karl J. Niklas, Miguel A. Quesada, James J. Giovannoni, J. Cuartero, Candelas Paniagua and Gloria López‐Casado and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Plant Cell.

In The Last Decade

Antonio J. Matas

52 papers receiving 3.5k citations

Peers

Antonio J. Matas
Antonio J. Matas
Citations per year, relative to Antonio J. Matas Antonio J. Matas (= 1×) peers Hongxia Zhang

Countries citing papers authored by Antonio J. Matas

Since Specialization
Citations

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

Fields of papers citing papers by Antonio J. Matas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio J. Matas. 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 Antonio J. Matas. The network helps show where Antonio J. Matas may publish in the future.

Co-authorship network of co-authors of Antonio J. Matas

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

All Works

20 of 20 papers shown
1.
López‐Casado, Gloria, Candelas Paniagua, Rosario Blanco‐Portales, et al.. (2023). CRISPR/Cas9 editing of the polygalacturonaseFaPG1gene improves strawberry fruit firmness. Horticulture Research. 10(3). uhad011–uhad011. 37 indexed citations
2.
Paniagua, Candelas, Gloria López‐Casado, Francisco Javier Molina‐Hidalgo, et al.. (2023). Suppressing the rhamnogalacturonan lyase gene FaRGLyase1 preserves RGI pectin degradation and enhances strawberry fruit firmness. Plant Physiology and Biochemistry. 206. 108294–108294. 6 indexed citations
3.
Kanematsu, Satoko, Hitoshi Nakayashiki, Antonio J. Matas, et al.. (2019). Transcriptome analysis of the fungal pathogen Rosellinia necatrix during infection of a susceptible avocado rootstock identifies potential mechanisms of pathogenesis. BMC Genomics. 20(1). 15 indexed citations
4.
Martínez-Ferri, Elsa, Antonio J. Matas, Bianca Reeksting, et al.. (2019). Rosellinia necatrix infection induces differential gene expression between tolerant and susceptible avocado rootstocks. PLoS ONE. 14(2). e0212359–e0212359. 17 indexed citations
5.
Soorni, Aboozar, et al.. (2019). Genome-Wide SNP discovery and genomic characterization in avocado (Persea americana Mill.). Scientific Reports. 9(1). 20137–20137. 29 indexed citations
6.
Matas, Antonio J., et al.. (2018). El huerto urbano como herramienta de transición socio-ambiental en la ciudad. Repositorio Institucional de la Universidad de Málaga (University of Málaga). 4–11. 1 indexed citations
7.
Paniagua, Candelas, Andrew R. Kirby, A. Patrick Gunning, et al.. (2017). Structural changes in cell wall pectins during strawberry fruit development. Plant Physiology and Biochemistry. 118. 55–63. 98 indexed citations
8.
Martin, Laetitia B. B., Philippe Nicolas, Antonio J. Matas, et al.. (2016). Laser microdissection of tomato fruit cell and tissue types for transcriptome profiling. Nature Protocols. 11(12). 2376–2388. 21 indexed citations
9.
Matas, Antonio J.. (2015). Orman's Internet Addiction Survey: A Preliminary Psichometric Study in an Universitary Andalusian Sample. Universitas Psychologica. 14(3). 3 indexed citations
10.
Matas, Antonio J., Javier Agustí, Francisco R. Tadeo, Manuel Talón, & Jocelyn K. C. Rose. (2010). Tissue-specific transcriptome profiling of the citrus fruit epidermis and subepidermis using laser capture microdissection. Journal of Experimental Botany. 61(12). 3321–3330. 50 indexed citations
11.
Yeats, Trevor H., et al.. (2010). Mining the surface proteome of tomato (Solanum lycopersicum) fruit for proteins associated with cuticle biogenesis. Journal of Experimental Botany. 61(13). 3759–3771. 73 indexed citations
12.
García-Orza, Javier, et al.. (2009). "2 x 3" primes naming "6": Evidence from masked priming. Attention Perception & Psychophysics. 71(3). 471–480. 19 indexed citations
13.
Isaacson, ‎Tal, et al.. (2009). Three‐dimensional imaging of plant cuticle architecture using confocal scanning laser microscopy. The Plant Journal. 60(2). 378–385. 113 indexed citations
14.
Isaacson, ‎Tal, Dylan K. Kosma, Antonio J. Matas, et al.. (2009). Cutin deficiency in the tomato fruit cuticle consistently affects resistance to microbial infection and biomechanical properties, but not transpirational water loss. The Plant Journal. 60(2). 363–377. 246 indexed citations
15.
Matas, Antonio J., et al.. (2008). Antisense inhibition of a pectate lyase gene supports a role for pectin depolymerization in strawberry fruit softening. Journal of Experimental Botany. 59(10). 2769–2779. 104 indexed citations
16.
López‐Casado, Gloria, Antonio J. Matas, Eva Domίnguez, J. Cuartero, & Antonio Heredia. (2007). Biomechanics of isolated tomato (Solanum lycopersicum L.) fruit cuticles: the role of the cutin matrix and polysaccharides. Journal of Experimental Botany. 58(14). 3875–3883. 121 indexed citations
17.
Matas, Antonio J., et al.. (2004). Crack Resistance in Cherry Tomato Fruit Correlates with Cuticular Membrane Thickness. HortScience. 39(6). 1354–1358. 55 indexed citations
18.
Matas, Antonio J., Edward D. Cobb, James A. Bartsch, Dominick J. Paolillo, & Karl J. Niklas. (2004). Biomechanics and anatomy of Lycopersicon esculentum fruit peels and enzyme‐treated samples. American Journal of Botany. 91(3). 352–360. 75 indexed citations
19.
Matas, Antonio J.. (2003). Studies on the structure of the plant wax nonacosan-10-ol, the main component of epicuticular wax conifers. International Journal of Biological Macromolecules. 33(1-3). 31–35. 42 indexed citations
20.
Patón, D., et al.. (1997). Estimación de la fitomasa forrajera de especies arbustivas típicas del clima mediterráneo árido chileno mediante análisis multicriterio. Archivos de Zootecnia. 46(175). 225–237. 3 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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