Javier Sánchez‐Martín

2.3k total citations
29 papers, 1.2k citations indexed

About

Javier Sánchez‐Martín is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Javier Sánchez‐Martín has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 6 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Javier Sánchez‐Martín's work include Wheat and Barley Genetics and Pathology (20 papers), Plant-Microbe Interactions and Immunity (12 papers) and Plant Pathogens and Resistance (8 papers). Javier Sánchez‐Martín is often cited by papers focused on Wheat and Barley Genetics and Pathology (20 papers), Plant-Microbe Interactions and Immunity (12 papers) and Plant Pathogens and Resistance (8 papers). Javier Sánchez‐Martín collaborates with scholars based in Spain, Switzerland and United Kingdom. Javier Sánchez‐Martín's co-authors include Beat Keller, Elena Prats, Diego Rubiales, Luis A. J. Mur, Thomas Wicker, Jaroslav Doležel, Severine Hurni, Brande B. H. Wulff, Gerhard Herren and Burkhard Steuernagel and has published in prestigious journals such as Nature Communications, New Phytologist and The Plant Journal.

In The Last Decade

Javier Sánchez‐Martín

29 papers receiving 1.2k citations

Peers

Javier Sánchez‐Martín
Sue Broughton Australia
Rian Lee United States
Jafar Mammadov United States
Tatiana V. Danilova United States
Judith M. Kolkman United States
Umesh R. Rosyara United States
Sue Broughton Australia
Javier Sánchez‐Martín
Citations per year, relative to Javier Sánchez‐Martín Javier Sánchez‐Martín (= 1×) peers Sue Broughton

Countries citing papers authored by Javier Sánchez‐Martín

Since Specialization
Citations

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

Fields of papers citing papers by Javier Sánchez‐Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Sánchez‐Martín. 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 Javier Sánchez‐Martín. The network helps show where Javier Sánchez‐Martín may publish in the future.

Co-authorship network of co-authors of Javier Sánchez‐Martín

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Sánchez‐Martín. A scholar is included among the top collaborators of Javier Sánchez‐Martín 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 Javier Sánchez‐Martín. Javier Sánchez‐Martín 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.
Jaegle, Benjamin, Yoav Voichek, Alexandros G. Sotiropoulos, et al.. (2025). k-mer-based GWAS in a wheat collection reveals novel and diverse sources of powdery mildew resistance. Genome biology. 26(1). 172–172. 1 indexed citations
2.
Stefan, Laura, Javier Sánchez‐Martín, Thomas Kurth, et al.. (2024). A genotype–phenotype approach to discriminate Central European spelt landraces from modern wheat-spelt intercrosses in the Swiss context. Euphytica. 220(9). 1 indexed citations
3.
Heuberger, Matthias, Mahmoud Said, Esther Jung, et al.. (2024). Analysis of a global wheat panel reveals a highly diverse introgression landscape and provides evidence for inter-homoeologue chromosomal recombination. Theoretical and Applied Genetics. 137(10). 236–236. 6 indexed citations
4.
O’Hara, Tom, Andrew Steed, Kumar Gaurav, et al.. (2024). The wheat powdery mildew resistance gene Pm4 also confers resistance to wheat blast. Nature Plants. 10(6). 984–993. 15 indexed citations
5.
Shimelis, Hussein, T. Terefe, Salim Bourras, et al.. (2023). Breeding Wheat for Powdery Mildew Resistance: Genetic Resources and Methodologies—A Review. Agronomy. 13(4). 1173–1173. 14 indexed citations
6.
Dracatos, Peter M., et al.. (2023). Resistance that stacks up: engineering rust and mildew disease control in the cereal crops wheat and barley. Plant Biotechnology Journal. 21(10). 1938–1951. 27 indexed citations
7.
Heuberger, Matthias, et al.. (2023). Mutagenesis of Wheat Powdery Mildew Reveals a Single Gene Controlling Both NLR and Tandem Kinase-Mediated Immunity. Molecular Plant-Microbe Interactions. 37(3). 264–276. 7 indexed citations
8.
Kolodziej, Markus C., Jyoti Singla, Javier Sánchez‐Martín, et al.. (2021). A membrane-bound ankyrin repeat protein confers race-specific leaf rust disease resistance in wheat. Nature Communications. 12(1). 956–956. 79 indexed citations
9.
Praz, Coraline R., Anne C. Roulin, Helen Zbinden, et al.. (2021). Identification of specificity‐defining amino acids of the wheat immune receptor Pm2 and powdery mildew effector AvrPm2. The Plant Journal. 106(4). 993–1007. 31 indexed citations
10.
Sánchez‐Martín, Javier & Beat Keller. (2021). NLR immune receptors and diverse types of non-NLR proteins control race-specific resistance in Triticeae. Current Opinion in Plant Biology. 62. 102053–102053. 71 indexed citations
11.
Sánchez‐Martín, Javier, Victoria Widrig, Gerhard Herren, et al.. (2021). Wheat Pm4 resistance to powdery mildew is controlled by alternative splice variants encoding chimeric proteins. Nature Plants. 7(3). 327–341. 111 indexed citations
12.
Singh, Simrat, Severine Hurni, Susanne Brunner, et al.. (2018). Evolutionary divergence of the rye Pm17 and Pm8 resistance genes reveals ancient diversity. Plant Molecular Biology. 98(3). 249–260. 78 indexed citations
13.
Rispail, Nicolás, Gracia Montilla‐Bascón, Javier Sánchez‐Martín, et al.. (2018). Multi-Environmental Trials Reveal Genetic Plasticity of Oat Agronomic Traits Associated With Climate Variable Changes. Frontiers in Plant Science. 9. 1358–1358. 17 indexed citations
14.
Brunner, Susanne, et al.. (2018). Field grown transgenic Pm3e wheat lines show powdery mildew resistance and no fitness costs associated with high transgene expression. Transgenic Research. 28(1). 9–20. 14 indexed citations
15.
Sánchez‐Martín, Javier, Burkhard Steuernagel, Sreya Ghosh, et al.. (2016). Rapid gene isolation in barley and wheat by mutant chromosome sequencing. Genome biology. 17(1). 221–221. 219 indexed citations
16.
Sánchez‐Martín, Javier, Nicolás Rispail, F. Flores, et al.. (2016). Higher rust resistance and similar yield of oat landraces versus cultivars under high temperature and drought. Agronomy for Sustainable Development. 37(1). 36 indexed citations
17.
Montilla‐Bascón, Gracia, Nicolás Rispail, Javier Sánchez‐Martín, et al.. (2015). Genome-wide association study for crown rust (Puccinia coronata f. sp. avenae) and powdery mildew (Blumeria graminis f. sp. avenae) resistance in an oat (Avena sativa) collection of commercial varieties and landraces. Frontiers in Plant Science. 6. 103–103. 42 indexed citations
18.
Montilla‐Bascón, Gracia, Javier Sánchez‐Martín, Nicolás Rispail, et al.. (2013). Genetic Diversity and Population Structure Among Oat Cultivars and Landraces. Plant Molecular Biology Reporter. 31(6). 1305–1314. 56 indexed citations
19.
Sánchez‐Martín, Javier, Luis A. J. Mur, Diego Rubiales, & Elena Prats. (2012). Targeting sources of drought tolerance within an Avena spp. collection through multivariate approaches. Planta. 236(5). 1529–1545. 17 indexed citations
20.

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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