J. Cuartero

5.5k total citations · 1 hit paper
117 papers, 4.3k citations indexed

About

J. Cuartero is a scholar working on Plant Science, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, J. Cuartero has authored 117 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Plant Science, 28 papers in Mechanical Engineering and 19 papers in Mechanics of Materials. Recurrent topics in J. Cuartero's work include Plant Physiology and Cultivation Studies (20 papers), Plant Stress Responses and Tolerance (16 papers) and Agricultural Practices and Plant Genetics (14 papers). J. Cuartero is often cited by papers focused on Plant Physiology and Cultivation Studies (20 papers), Plant Stress Responses and Tolerance (16 papers) and Agricultural Practices and Plant Genetics (14 papers). J. Cuartero collaborates with scholars based in Spain, Portugal and United Kingdom. J. Cuartero's co-authors include R. Fernández-Muñoz, R. Romero‐Aranda, María C. Bolarín, Antonio Heredia, Eva Domίnguez, M. J. Asíns, Vicente Moreno, Gloria López‐Casado, Antonio J. Matas and Francisco Pérez‐Alfocea and has published in prestigious journals such as The Plant Cell, The Science of The Total Environment and New Phytologist.

In The Last Decade

J. Cuartero

111 papers receiving 3.9k citations

Hit Papers

Tomato and salinity 1998 2026 2007 2016 1998 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Cuartero Spain 32 3.5k 659 427 301 273 117 4.3k
Jiwang Zhang China 46 3.9k 1.1× 416 0.6× 1.6k 3.7× 526 1.7× 382 1.4× 270 6.2k
Peter J. Lammers United States 44 2.1k 0.6× 939 1.4× 254 0.6× 462 1.5× 42 0.2× 90 5.3k
Gianpietro Venturi Italy 25 1.0k 0.3× 244 0.4× 184 0.4× 100 0.3× 318 1.2× 55 2.5k
Brigitte Chabbert France 42 2.5k 0.7× 2.4k 3.7× 295 0.7× 229 0.8× 73 0.3× 123 5.8k
Luciana Gabriella Angelini Italy 30 1.5k 0.4× 643 1.0× 84 0.2× 94 0.3× 253 0.9× 116 3.5k
Wangfeng Zhang China 28 1.9k 0.5× 345 0.5× 601 1.4× 251 0.8× 116 0.4× 166 2.7k
Hiroyuki Yamamoto Japan 35 2.0k 0.6× 855 1.3× 66 0.2× 953 3.2× 230 0.8× 196 4.5k
Hewei Chen China 25 647 0.2× 191 0.3× 688 1.6× 239 0.8× 174 0.6× 112 2.2k
Yulong Ding China 29 2.2k 0.6× 489 0.7× 114 0.3× 168 0.6× 16 0.1× 133 3.1k
Masaharu Kitano Japan 20 1.3k 0.4× 92 0.1× 176 0.4× 169 0.6× 134 0.5× 210 1.9k

Countries citing papers authored by J. Cuartero

Since Specialization
Citations

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

Fields of papers citing papers by J. Cuartero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Cuartero

This figure shows the co-authorship network connecting the top 25 collaborators of J. Cuartero. A scholar is included among the top collaborators of J. Cuartero 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 J. Cuartero. J. Cuartero 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
2.
Cuartero, J., et al.. (2024). Analysis of laminated shells using pseudospectrals and the Reissner-Mixed Variational Theorem. Composite Structures. 345. 118341–118341. 2 indexed citations
3.
Cuartero, J., et al.. (2023). Experimental determination for interlaminar tensile strength of reinforced epoxy composites with flax fibers for L-angle specimens. Mechanics of Advanced Materials and Structures. 31(26). 7621–7630. 3 indexed citations
4.
Miralbés, Ramón, J. Cuartero, David Ranz, & Nuno Correia. (2023). Numerical simulations of gyroid structures under compressive loads. Mechanics of Advanced Materials and Structures. 31(18). 4236–4245. 6 indexed citations
5.
Barburski, Marcin, et al.. (2022). Comparison of Mechanical Properties of Composites Reinforced with Technical Embroidery, UD and Woven Fabric Made of Flax Fibers. Materials. 15(21). 7469–7469. 12 indexed citations
7.
Castejón, Luis, et al.. (2020). Development of a new car C-pillar made of sandwich structures. Journal of Sandwich Structures & Materials. 23(6). 2586–2613. 2 indexed citations
8.
Ranz, David, et al.. (2020). Enhanced cohesive zone model to predict delamination behavior of carbon/epoxy laminated curved beams. Mechanics of Advanced Materials and Structures. 29(3). 331–341. 15 indexed citations
9.
Ranz, David, J. Cuartero, Luis Castejón, & Ramón Miralbés. (2018). A study on interlaminar behavior of carbon/epoxy laminated curved beams by use of acoustic emission. Mechanics of Advanced Materials and Structures. 27(18). 1609–1618. 7 indexed citations
10.
Capel, Carmen, Fernando J. Yuste‐Lisbona, Gloria López‐Casado, et al.. (2017). QTL mapping of fruit mineral contents provides new chances for molecular breeding of tomato nutritional traits. Theoretical and Applied Genetics. 130(5). 903–913. 21 indexed citations
11.
Salinas, María, Carmen Capel, Juan M. Alba, et al.. (2012). Genetic mapping of two QTL from the wild tomato Solanum pimpinellifolium L. controlling resistance against two-spotted spider mite (Tetranychus urticae Koch). Theoretical and Applied Genetics. 126(1). 83–92. 39 indexed citations
12.
Domίnguez, Eva, L. García España, Gloria López‐Casado, J. Cuartero, & Antonio Heredia. (2009). Biomechanics of isolated tomato (Solanum lycopersicum) fruit cuticles during ripening: the role of flavonoids. Functional Plant Biology. 36(7). 613–613. 47 indexed citations
13.
Villalta, Irène, María C. Bolarín, J. Cuartero, et al.. (2008). Genetic analysis of Na+ and K+ concentrations in leaf and stem as physiological components of salt tolerance in Tomato. Theoretical and Applied Genetics. 116(6). 869–880. 73 indexed citations
14.
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
15.
Miravete, A., et al.. (2006). Description of a traffic bridge of the Cantabrian SpeedWay made of composite materials. Materiales de Construcción. 56(284). 81–86. 8 indexed citations
16.
Cuartero, J., María C. Bolarín, M. J. Asíns, & Vicente Moreno. (2006). Increasing salt tolerance in the tomato. Journal of Experimental Botany. 57(5). 1045–1058. 363 indexed citations
17.
Romero‐Aranda, R., et al.. (2005). Silicon alleviates the deleterious salt effect on tomato plant growth by improving plant water status. Journal of Plant Physiology. 163(8). 847–855. 373 indexed citations
18.
Borsani, Omar, J. Cuartero, Victoriano Valpuesta, & Miguel A. Botella. (2002). Tomato tos1 mutation identifies a gene essential for osmotic tolerance and abscisic acid sensitivity. The Plant Journal. 32(6). 905–914. 29 indexed citations
19.
Fernández-Muñoz, R., et al.. (1999). `Guadajira' and `Gevora': Openpollinated, Processing Tomato Cultivars Resistant to Root-knot Nematodes and Fusarium Wilt. HortScience. 34(2). 356–357. 1 indexed citations
20.
Molina, R.V., et al.. (1989). Variability and correlations in muskmelon in relation to the cultivation method. Theoretical and Applied Genetics. 78(3). 411–416. 4 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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