J. Rubio

3.3k total citations
50 papers, 1.4k citations indexed

About

J. Rubio is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, J. Rubio has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Plant Science, 10 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Molecular Biology. Recurrent topics in J. Rubio's work include Genetic and Environmental Crop Studies (44 papers), Agricultural pest management studies (38 papers) and Plant Disease Resistance and Genetics (17 papers). J. Rubio is often cited by papers focused on Genetic and Environmental Crop Studies (44 papers), Agricultural pest management studies (38 papers) and Plant Disease Resistance and Genetics (17 papers). J. Rubio collaborates with scholars based in Spain, United States and Tunisia. J. Rubio's co-authors include J. Gil, Teresa Millán, J. I. Cubero, M. T. Moreno, María José Cobos, P. Castro, Eva Madrid, F. Flores, M. Kharrat and Peter Winter and has published in prestigious journals such as PLoS ONE, New Phytologist and Frontiers in Plant Science.

In The Last Decade

J. Rubio

50 papers receiving 1.3k 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. Rubio Spain 23 1.3k 268 110 81 79 50 1.4k
Timothy Sawbridge Australia 17 606 0.4× 185 0.7× 204 1.9× 126 1.6× 76 1.0× 43 788
Siva K. Chamarthi India 13 1.0k 0.8× 94 0.4× 76 0.7× 135 1.7× 30 0.4× 18 1.1k
F. Weigand Syria 13 944 0.7× 299 1.1× 120 1.1× 131 1.6× 63 0.8× 14 1.0k
Deepak Bajaj India 23 1.3k 1.0× 163 0.6× 175 1.6× 222 2.7× 19 0.2× 38 1.4k
R. P. S. Pundir India 18 729 0.5× 117 0.4× 84 0.8× 136 1.7× 38 0.5× 48 787
Amero A. Emeran Egypt 17 760 0.6× 78 0.3× 56 0.5× 49 0.6× 44 0.6× 34 791
Chi Yen China 16 659 0.5× 276 1.0× 208 1.9× 208 2.6× 89 1.1× 54 751
Sanling Wu China 9 507 0.4× 50 0.2× 135 1.2× 75 0.9× 74 0.9× 15 597
Musharaf Ahmad Pakistan 16 630 0.5× 43 0.2× 129 1.2× 37 0.5× 50 0.6× 64 682
Stéphanie Bolot France 12 815 0.6× 93 0.3× 333 3.0× 175 2.2× 34 0.4× 21 881

Countries citing papers authored by J. Rubio

Since Specialization
Citations

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

Fields of papers citing papers by J. Rubio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of J. Rubio. A scholar is included among the top collaborators of J. Rubio 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. Rubio. J. Rubio 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.
Castro, P., et al.. (2024). Efficient Single Nucleotide Polymorphism Marker-Assisted Selection to Fusarium Wilt in Chickpea. Plants. 13(3). 436–436. 1 indexed citations
2.
Rubio, J., et al.. (2024). Phenotypic and genetic characterization of a near-isogenic line pair: insights into flowering time in chickpea. BMC Plant Biology. 24(1). 709–709. 1 indexed citations
3.
Rubio, J., et al.. (2023). Four haplotype blocks linked to Ascochyta blight disease resistance in chickpea under Mediterranean conditions. Frontiers in Plant Science. 14. 2 indexed citations
4.
5.
Castro, P., et al.. (2019). Candidate genes expression profiling during wilting in chickpea caused by Fusarium oxysporum f. sp. ciceris race 5. PLoS ONE. 14(10). e0224212–e0224212. 24 indexed citations
6.
Madrid, Eva, et al.. (2019). Saturation of genomic region implicated in resistance to Fusarium oxysporum f. sp. ciceris race 5 in chickpea. Molecular Breeding. 39(2). 10 indexed citations
7.
Palmieri, Davide, Filippo De Curtis, D. Vitullo, et al.. (2019). Genetic and agronomic characterization of chickpea landraces for resistance to Fusarium oxysporum f. sp. ciceris. Phytopathologia Mediterranea. 58(2). 239–248. 5 indexed citations
8.
Hecht, Valérie, Jules S. Freeman, J. Rubio, et al.. (2019). Altered Expression of an FT Cluster Underlies a Major Locus Controlling Domestication-Related Changes to Chickpea Phenology and Growth Habit. Frontiers in Plant Science. 10. 824–824. 35 indexed citations
9.
Cobos, María José, et al.. (2016). Genotype and environment effects on sensory, nutritional, and physical traits in chickpea (Cicer arietinum L.). Spanish Journal of Agricultural Research. 14(4). e0709–e0709. 9 indexed citations
10.
Madrid, Eva, Rajeev K. Varshney, Sarwar Azam, et al.. (2013). Mapping and identification of a Cicer arietinum NSP2 gene involved in nodulation pathway. Theoretical and Applied Genetics. 127(2). 481–488. 16 indexed citations
11.
Madrid, Eva, P. Rajesh, J. Rubio, et al.. (2012). Characterization and genetic analysis of an EIN4-like sequence (CaETR-1) located in QTLAR1 implicated in ascochyta blight resistance in chickpea. Plant Cell Reports. 31(6). 1033–1042. 25 indexed citations
12.
Pérez‐de‐Luque, Alejandro, Jennifer A. Beckstead, Josefina C. Sillero, et al.. (2011). Effect of amphotericin B nanodisks on plant fungal diseases. Pest Management Science. 68(1). 67–74. 24 indexed citations
13.
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
14.
Palomino, Carmen, et al.. (2008). Integration of new CAPS and dCAPS-RGA markers into a composite chickpea genetic map and their association with disease resistance. Theoretical and Applied Genetics. 118(4). 671–682. 22 indexed citations
15.
Madrid, Eva, Diego Rubiales, Ana del Moral, et al.. (2007). Mechanism and molecular markers associated with rust resistance in a chickpea interspecific cross (Cicer arietinum × Cicer reticulatum). European Journal of Plant Pathology. 121(1). 43–53. 35 indexed citations
16.
Cobos, María José, et al.. (2007). Genetic analysis of seed size, yield and days to flowering in a chickpea recombinant inbred line population derived from a Kabuli × Desi cross. Annals of Applied Biology. 151(1). 33–42. 73 indexed citations
17.
18.
Martı́n, A., Diego Rubiales, J. Rubio, & A. Cabrera. (2004). Hybrids Between Hordeum vulgare and Tetra-, Hexa-, and Octoploid Tritordeums (Amphiploid H. chilense×Triticum spp.). Hereditas. 123(2). 175–182. 5 indexed citations
19.
Rubio, J., F. Flores, M. T. Moreno, J. I. Cubero, & J. Gil. (2004). Effects of the erect/bushy habit, single/double pod and late/early flowering genes on yield and seed size and their stability in chickpea. Field Crops Research. 90(2-3). 255–262. 51 indexed citations
20.
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

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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