J. I. Cubero

4.3k total citations
88 papers, 3.1k citations indexed

About

J. I. Cubero is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, J. I. Cubero has authored 88 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Plant Science, 28 papers in Ecology, Evolution, Behavior and Systematics and 10 papers in Agronomy and Crop Science. Recurrent topics in J. I. Cubero's work include Genetic and Environmental Crop Studies (54 papers), Agricultural pest management studies (39 papers) and Legume Nitrogen Fixing Symbiosis (32 papers). J. I. Cubero is often cited by papers focused on Genetic and Environmental Crop Studies (54 papers), Agricultural pest management studies (39 papers) and Legume Nitrogen Fixing Symbiosis (32 papers). J. I. Cubero collaborates with scholars based in Spain, Croatia and United States. J. I. Cubero's co-authors include A. M. Torres, Diego Rubiales, M. T. Moreno, Teresa Millán, J. Gil, F. Flores, J. Rubio, Alejandro Pérez‐de‐Luque, Zlatko Šatović and Belén Román and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Experimental Botany and Theoretical and Applied Genetics.

In The Last Decade

J. I. Cubero

88 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. I. Cubero Spain 33 2.9k 777 376 313 283 88 3.1k
F. J. Muehlbauer United States 38 4.2k 1.5× 909 1.2× 255 0.7× 334 1.1× 290 1.0× 128 4.4k
Wolfgang Link Germany 24 1.9k 0.7× 352 0.5× 349 0.9× 246 0.8× 227 0.8× 66 2.1k
M. Falcinelli Italy 22 925 0.3× 584 0.8× 199 0.5× 398 1.3× 148 0.5× 81 1.4k
Grégoire Aubert France 33 3.1k 1.1× 234 0.3× 423 1.1× 648 2.1× 476 1.7× 61 3.3k
Adam J. Lukaszewski United States 34 3.2k 1.1× 247 0.3× 450 1.2× 781 2.5× 601 2.1× 112 3.4k
Shivali Sharma India 23 1.9k 0.6× 125 0.2× 169 0.4× 277 0.9× 322 1.1× 105 2.0k
Kevin McPhee United States 22 1.7k 0.6× 189 0.2× 282 0.8× 101 0.3× 154 0.5× 86 1.8k
Mike Ambrose United Kingdom 22 1.8k 0.6× 330 0.4× 168 0.4× 800 2.6× 194 0.7× 45 1.9k
Elena Bitocchi Italy 24 1.6k 0.6× 155 0.2× 195 0.5× 253 0.8× 324 1.1× 57 1.8k
Clarice J. Coyne United States 32 3.0k 1.0× 347 0.4× 216 0.6× 295 0.9× 397 1.4× 93 3.2k

Countries citing papers authored by J. I. Cubero

Since Specialization
Citations

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

Fields of papers citing papers by J. I. Cubero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. I. Cubero

This figure shows the co-authorship network connecting the top 25 collaborators of J. I. Cubero. A scholar is included among the top collaborators of J. I. Cubero 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. I. Cubero. J. I. Cubero 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.
Šatović, Zlatko, C. M. Ávila, Serafín Cruz-Izquierdo, et al.. (2013). A reference consensus genetic map for molecular markers and economically important traits in faba bean (Vicia fabaL.). BMC Genomics. 14(1). 932–932. 48 indexed citations
2.
Cruz-Izquierdo, Serafín, C. M. Ávila, Zlatko Šatović, et al.. (2012). Comparative genomics to bridge Vicia faba with model and closely-related legume species: stability of QTLs for flowering and yield-related traits. Theoretical and Applied Genetics. 125(8). 1767–1782. 59 indexed citations
3.
Fondevilla, Sara, H. Küster, Franziska Krajinski, J. I. Cubero, & Diego Rubiales. (2011). Identification of genes differentially expressed in a resistant reaction to Mycosphaerella pinodes in pea using microarray technology. BMC Genomics. 12(1). 28–28. 62 indexed citations
4.
Torres, A. M., et al.. (2009). Validation of QTLs for Orobanche crenata resistance in faba bean (Vicia faba L.) across environments and generations. Theoretical and Applied Genetics. 120(5). 909–919. 42 indexed citations
5.
Cobos, María José, Peter Winter, Mohamed Kharrat, et al.. (2009). Genetic analysis of agronomic traits in a wide cross of chickpea. Field Crops Research. 111(1-2). 130–136. 85 indexed citations
6.
Pistón, Fernando, et al.. (2008). The marker SCK13603 associated with resistance to ascochyta blight in chickpea is located in a region of a putative retrotransposon. Plant Cell Reports. 28(1). 53–60. 11 indexed citations
7.
Román, Belén, et al.. (2006). Homology between the faba bean and pea maps with the model species Medicago truncatula using STS. Revista Fitotecnia Mexicana. 29(2). 1–6. 1 indexed citations
8.
Pérez‐de‐Luque, Alejandro, Clara I. González‐Verdejo, Miguel Dita, et al.. (2006). Protein cross-linking, peroxidase and β-1,3-endoglucanase involved in resistance of pea against Orobanche crenata. Journal of Experimental Botany. 57(6). 1461–1469. 71 indexed citations
9.
Pérez‐de‐Luque, Alejandro, et al.. (2006). Mucilage production during the incompatible interaction between Orobanche crenata and Vicia sativa. Journal of Experimental Botany. 57(4). 931–942. 69 indexed citations
10.
11.
Pérez‐de‐Luque, Alejandro, Diego Rubiales, J. I. Cubero, et al.. (2005). Interaction between Orobanche crenata and its Host Legumes: Unsuccessful Haustorial Penetration and Necrosis of the Developing Parasite. Annals of Botany. 95(6). 935–942. 89 indexed citations
12.
González‐Verdejo, Clara I., Xabier E. Barandiaran, M. T. Moreno, J. I. Cubero, & Antonio Di Pietro. (2005). An Improved Axenic System for Studying Pre-infection Development of the Parasitic Plant Orobanche ramosa. Annals of Botany. 96(6). 1121–1127. 18 indexed citations
13.
Román, Belén, Zlatko Šatović, D. Požárková, et al.. (2003). Development of a composite map in Vicia faba, breeding applications and future prospects. Theoretical and Applied Genetics. 108(6). 1079–1088. 42 indexed citations
14.
Román, Belén, A. M. Torres, Diego Rubiales, J. I. Cubero, & Zlatko Šatović. (2002). Mapping of quantitative trait loci controlling broomrape (Orobanche crenataForsk.) resistance in faba bean (Vicia fabaL.). Genome. 45(6). 1057–1063. 85 indexed citations
15.
Rubio, J., et al.. (2002). Phylogenetic analysis in the genus Cicer and cultivated chickpea using RAPD and ISSR markers. Theoretical and Applied Genetics. 104(4). 643–651. 155 indexed citations
16.
Millán, Teresa, et al.. (1997). Variability and genome length estimation in chickpea (Cicer arietinum L.) revealed by RAPD analysis. Journal of genetics & breeding. 51(1). 83–85. 9 indexed citations
17.
Šatović, Zlatko, A. M. Torres, & J. I. Cubero. (1996). Genetic mapping of new morphological, isozyme and RAPD markers in Vicia faba L. using trisomics. Theoretical and Applied Genetics. 93(7). 1130–1138. 31 indexed citations
18.
Torres, A. M., Teresa Millán, & J. I. Cubero. (1993). Identifying Rose Cultivars Using Random Amplified Polymorphic DNA Markers. HortScience. 28(4). 333–334. 65 indexed citations
19.
Cubero, J. I., et al.. (1990). Chickpea breeding in Spain.. 157–161. 1 indexed citations
20.
Suso, M. J. & J. I. Cubero. (1986). Genetic changes under domestication in Vicia faba. Theoretical and Applied Genetics. 72(3). 364–372. 8 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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