Jaime Cubero

3.1k total citations
66 papers, 1.9k citations indexed

About

Jaime Cubero is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Jaime Cubero has authored 66 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Plant Science, 27 papers in Cell Biology and 14 papers in Molecular Biology. Recurrent topics in Jaime Cubero's work include Plant Pathogenic Bacteria Studies (45 papers), Plant-Microbe Interactions and Immunity (38 papers) and Plant Pathogens and Fungal Diseases (27 papers). Jaime Cubero is often cited by papers focused on Plant Pathogenic Bacteria Studies (45 papers), Plant-Microbe Interactions and Immunity (38 papers) and Plant Pathogens and Fungal Diseases (27 papers). Jaime Cubero collaborates with scholars based in Spain, United States and France. Jaime Cubero's co-authors include James H. Graham, T. R. Gottwald, Marı́a M. López, J. H. Graham, Diann Achor, Ana Palacio‐Bielsa, P. Llop, Jerson Garita‐Cambronero, Houda Zeriouh and Alejandro Pérez-Garcı́a and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Applied Microbiology and Biotechnology.

In The Last Decade

Jaime Cubero

63 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaime Cubero Spain 24 1.7k 584 434 107 95 66 1.9k
Nicole Donofrio United States 20 1.5k 0.9× 511 0.9× 643 1.5× 86 0.8× 57 0.6× 37 1.7k
Epaminondas J. Paplomatas Greece 24 1.8k 1.1× 758 1.3× 394 0.9× 129 1.2× 38 0.4× 66 2.0k
Charles Manceau France 30 2.1k 1.2× 631 1.1× 315 0.7× 83 0.8× 40 0.4× 67 2.2k
B. D. Bruton United States 23 1.2k 0.7× 548 0.9× 238 0.5× 210 2.0× 98 1.0× 85 1.5k
Anna Bonaterra Spain 19 933 0.5× 355 0.6× 259 0.6× 92 0.9× 63 0.7× 36 1.2k
Luigi Faino Netherlands 21 1.4k 0.8× 581 1.0× 500 1.2× 91 0.9× 228 2.4× 37 1.7k
Xiufen Yang China 27 1.4k 0.8× 342 0.6× 667 1.5× 255 2.4× 67 0.7× 65 1.8k
Ricardo Oliva Philippines 23 2.2k 1.3× 493 0.8× 438 1.0× 79 0.7× 39 0.4× 63 2.3k
Elke Lieckfeldt Germany 24 969 0.6× 709 1.2× 537 1.2× 54 0.5× 68 0.7× 30 1.4k
María Rosa Maraño Argentina 24 1.3k 0.8× 192 0.3× 454 1.0× 61 0.6× 33 0.3× 49 1.6k

Countries citing papers authored by Jaime Cubero

Since Specialization
Citations

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

Fields of papers citing papers by Jaime Cubero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaime Cubero

This figure shows the co-authorship network connecting the top 25 collaborators of Jaime Cubero. A scholar is included among the top collaborators of Jaime 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 Jaime Cubero. Jaime 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.
Garita‐Cambronero, Jerson, et al.. (2025). Unraveling the genomic complexity of secretion systems in the most virulent Xanthomonas arboricola pathovars. PLoS ONE. 20(9). e0332834–e0332834.
2.
Wang, Nian, George W. Sundin, Leonardo De La Fuente, et al.. (2024). Key Challenges in Plant Pathology in the Next Decade. Phytopathology. 114(5). 837–842. 15 indexed citations
3.
Cubero, Jaime, et al.. (2024). Draft genome sequence of Xanthomonas arboricola pv. pruni PVCT 262.1 isolated from Prunus dulcis in italy. Microbiology Resource Announcements. 13(7). e0027324–e0027324. 1 indexed citations
4.
Cubero, Jaime, Pablo J. Zarco‐Tejada, Ana Palacio‐Bielsa, et al.. (2024). New Approaches to Plant Pathogen Detection and Disease Diagnosis. Phytopathology. 114(9). 1989–2006. 4 indexed citations
5.
Sabuquillo, Pilar, et al.. (2024). A reliable qPCR technique for detecting viable Xanthomonas arboricola pv. pruni cells. Applied Microbiology and Biotechnology. 108(1). 472–472. 1 indexed citations
6.
Cubero, Jaime, et al.. (2022). Assessment of Psyllid Handling and DNA Extraction Methods in the Detection of ‘Candidatus Liberibacter Solanacearum’ by qPCR. Microorganisms. 10(6). 1104–1104. 4 indexed citations
7.
Taghavi, S. Mohsen, Neha Potnis, Ralf Koebnik, et al.. (2022). Taxonomic Refinement of Xanthomonas arboricola. Phytopathology. 112(8). 1630–1639. 12 indexed citations
8.
Licciardello, Grazia, P. Caruso, P. Bella, et al.. (2022). Pathotyping Citrus Ornamental Relatives with Xanthomonas citri pv. citri and X. citri pv. aurantifolii Refines Our Understanding of Their Susceptibility to These Pathogens. Microorganisms. 10(5). 986–986. 9 indexed citations
9.
Sabuquillo, Pilar & Jaime Cubero. (2021). Biofilm Formation in Xanthomonas arboricola pv. pruni: Structure and Development. Agronomy. 11(3). 546–546. 7 indexed citations
10.
Catara, Vittoria, Jaime Cubero, Joël F. Pothier, et al.. (2021). Trends in Molecular Diagnosis and Diversity Studies for Phytosanitary Regulated Xanthomonas. Microorganisms. 9(4). 862–862. 26 indexed citations
11.
Garita‐Cambronero, Jerson, Carmen Enid Martı́nez, A. Alfaro‐Fernández, et al.. (2020). Assessment of Multilocus Sequence Analysis (MLSA) for Identification of Candidatus Liberibacter Solanacearum from Different Host Plants in Spain. Microorganisms. 8(9). 1446–1446. 5 indexed citations
12.
13.
Garita‐Cambronero, Jerson, Ana Palacio‐Bielsa, & Jaime Cubero. (2018). Xanthomonas arboricola pv. pruni , causal agent of bacterial spot of stone fruits and almond: its genomic and phenotypic characteristics in the X. arboricola species context. Molecular Plant Pathology. 19(9). 2053–2065. 35 indexed citations
14.
Garita‐Cambronero, Jerson, Ana Palacio‐Bielsa, Marı́a M. López, & Jaime Cubero. (2016). Draft genome sequence for virulent and avirulent strains of Xanthomonas arboricola isolated from Prunus spp. in Spain. Standards in Genomic Sciences. 11(1). 12–12. 13 indexed citations
15.
16.
Garita‐Cambronero, Jerson, Ana Palacio‐Bielsa, Marı́a M. López, & Jaime Cubero. (2016). Comparative Genomic and Phenotypic Characterization of Pathogenic and Non-Pathogenic Strains of Xanthomonas arboricola Reveals Insights into the Infection Process of Bacterial Spot Disease of Stone Fruits. PLoS ONE. 11(8). e0161977–e0161977. 33 indexed citations
17.
Garita‐Cambronero, Jerson, Ana Palacio‐Bielsa, Marı́a M. López, & Jaime Cubero. (2016). Draft Genome Sequence of Two Strains of Xanthomonas arboricola Isolated from Prunus persica Which Are Dissimilar to Strains That Cause Bacterial Spot Disease on Prunus spp. Genome Announcements. 4(5). 7 indexed citations
18.
Palacio‐Bielsa, Ana, et al.. (2015). La mancha bacteriana de los frutales de hueso y del almendro (Xanthomonas arboricola pv pruni) en España y Sudamérica. Redivia (Instituto Valenciano de Investigaciones Agrarias (IVIA)). 21–28. 2 indexed citations
19.
Palacio‐Bielsa, Ana, et al.. (2014). La mancha bacteriana de los frutales de hueso y del almendro (Xanthomonas arboricola pv. pruni), una grave enfermedad emergente en España. Redivia (Instituto Valenciano de Investigaciones Agrarias (IVIA)). 36–43. 6 indexed citations
20.
Cubero, Jaime. (2002). anti-militarismo e anarquismo.

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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