Sandra Cortijo

3.8k total citations · 2 hit papers
24 papers, 2.2k citations indexed

About

Sandra Cortijo is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Sandra Cortijo has authored 24 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 15 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Sandra Cortijo's work include Plant Molecular Biology Research (19 papers), Plant Reproductive Biology (7 papers) and Plant nutrient uptake and metabolism (5 papers). Sandra Cortijo is often cited by papers focused on Plant Molecular Biology Research (19 papers), Plant Reproductive Biology (7 papers) and Plant nutrient uptake and metabolism (5 papers). Sandra Cortijo collaborates with scholars based in United Kingdom, France and Germany. Sandra Cortijo's co-authors include Philip A. Wigge, Varodom Charoensawan, Katja E. Jaeger, Mathew S. Box, Daphne Ezer, Surojit Biswas, James Locke, Jae‐Hoon Jung, Vincent Colot and Mirela Domijan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Bioinformatics.

In The Last Decade

Sandra Cortijo

24 papers receiving 2.2k citations

Hit Papers

Phytochromes function as thermosensors in Arabidopsis 2014 2026 2018 2022 2016 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandra Cortijo United Kingdom 17 1.9k 1.4k 239 79 40 24 2.2k
S. Vinod Kumar United Kingdom 17 2.3k 1.2× 1.9k 1.3× 84 0.4× 61 0.8× 30 0.8× 23 2.8k
Karen Lee United Kingdom 11 1.9k 1.0× 1.5k 1.1× 246 1.0× 187 2.4× 42 1.1× 14 2.2k
Qiguang Xie China 24 1.8k 0.9× 957 0.7× 98 0.4× 86 1.1× 38 0.9× 42 2.1k
Jean Molinier France 23 1.8k 1.0× 1.7k 1.2× 120 0.5× 95 1.2× 16 0.4× 42 2.4k
Mathew S. Box United Kingdom 16 1.5k 0.8× 1.2k 0.8× 107 0.4× 255 3.2× 33 0.8× 18 1.8k
Pablo D. Cerdán Argentina 21 1.6k 0.9× 1.2k 0.9× 57 0.2× 55 0.7× 42 1.1× 37 1.8k
Tetsuya Kurata Japan 27 2.5k 1.3× 2.0k 1.5× 91 0.4× 203 2.6× 30 0.8× 43 2.8k
Soledad Undurraga United States 11 1.3k 0.7× 926 0.7× 130 0.5× 33 0.4× 36 0.9× 13 1.6k
Assaf Zemach Israel 19 3.0k 1.6× 2.5k 1.8× 549 2.3× 108 1.4× 24 0.6× 25 4.2k
Tao Zhao China 21 1.0k 0.5× 743 0.5× 160 0.7× 35 0.4× 79 2.0× 36 1.4k

Countries citing papers authored by Sandra Cortijo

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Cortijo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandra Cortijo

This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Cortijo. A scholar is included among the top collaborators of Sandra Cortijo 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 Sandra Cortijo. Sandra Cortijo 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.
Yang, Weibing, Sandra Cortijo, Pawel Roszak, et al.. (2021). Molecular mechanism of cytokinin-activated cell division in Arabidopsis. Science. 371(6536). 1350–1355. 128 indexed citations
2.
Schwarzenberg, Adrián, Mirela Domijan, Armel Donkpegan, et al.. (2020). Fine tuning of hormonal signaling is linked to dormancy status in sweet cherry flower buds. Tree Physiology. 41(4). 544–561. 33 indexed citations
3.
Cortijo, Sandra & James Locke. (2020). Does Gene Expression Noise Play a Functional Role in Plants?. Trends in Plant Science. 25(10). 1041–1051. 21 indexed citations
5.
Cortijo, Sandra, Zeynep Gökçe Gayretli Aydın, Sebastian E. Ahnert, & James Locke. (2019). Widespread inter‐individual gene expression variability in Arabidopsis thaliana. Molecular Systems Biology. 15(1). e8591–e8591. 45 indexed citations
6.
Tong, Meixuezi, Kyounghee Lee, Daphne Ezer, et al.. (2019). The Evening Complex Establishes Repressive Chromatin Domains Via H2A.Z Deposition. PLANT PHYSIOLOGY. 182(1). 612–625. 25 indexed citations
7.
Fouché, Mathieu, José Antonio Campoy, Meixuezi Tong, et al.. (2019). From bud formation to flowering: transcriptomic state defines the cherry developmental phases of sweet cherry bud dormancy. BMC Genomics. 20(1). 974–974. 58 indexed citations
8.
9.
Arkoun, Mustapha, Jean‐Claude Yvin, Elisabeth Dirlewanger, et al.. (2019). The presence of H3K4me3 histone mark is positively correlated with expression at theDAMloci in sweet cherry during dormancy. Acta Horticulturae. 413–420. 1 indexed citations
10.
Catoni, Marco & Sandra Cortijo. (2018). Chapter four - epiRILs: lessons from Arabidopsis.. 88. 87–116. 1 indexed citations
11.
Cortijo, Sandra, Varodom Charoensawan, François Roudier, & Philip A. Wigge. (2018). Chromatin Immunoprecipitation Sequencing (ChIP-Seq) for Transcription Factors and Chromatin Factors in Arabidopsis thaliana Roots: From Material Collection to Data Analysis. Methods in molecular biology. 1761. 231–248. 14 indexed citations
12.
Ezer, Daphne, Jae‐Hoon Jung, Hui Y. Lan, et al.. (2017). The evening complex coordinates environmental and endogenous signals in Arabidopsis. Nature Plants. 3(7). 17087–17087. 215 indexed citations
13.
Ezer, Daphne, Anna Brestovitsky, Patrick Dickinson, et al.. (2017). The G-Box Transcriptional Regulatory Code in Arabidopsis. PLANT PHYSIOLOGY. 175(2). 628–640. 110 indexed citations
14.
Cortijo, Sandra, Varodom Charoensawan, Anna Brestovitsky, et al.. (2017). Transcriptional Regulation of the Ambient Temperature Response by H2A.Z Nucleosomes and HSF1 Transcription Factors in Arabidopsis. Molecular Plant. 10(10). 1258–1273. 167 indexed citations
15.
Jung, Jae‐Hoon, Mirela Domijan, Cornelia Klose, et al.. (2016). Phytochromes function as thermosensors in Arabidopsis. Science. 354(6314). 886–889. 703 indexed citations breakdown →
16.
Cortijo, Sandra, René Wardenaar, Maria Colomé‐Tatché, Frank Johannes, & Vincent Colot. (2014). Genome-Wide Analysis of DNA Methylation in Arabidopsis Using MeDIP-Chip. Methods in molecular biology. 1112. 125–149. 9 indexed citations
17.
Cortijo, Sandra, René Wardenaar, Maria Colomé‐Tatché, et al.. (2014). Mapping the Epigenetic Basis of Complex Traits. Science. 343(6175). 1145–1148. 342 indexed citations breakdown →
18.
Silveira, Amanda Bortolini, Charlotte Trontin, Sandra Cortijo, et al.. (2013). Extensive Natural Epigenetic Variation at a De Novo Originated Gene. PLoS Genetics. 9(4). e1003437–e1003437. 83 indexed citations
19.
Colomé‐Tatché, Maria, Sandra Cortijo, René Wardenaar, et al.. (2012). Features of the Arabidopsis recombination landscape resulting from the combined loss of sequence variation and DNA methylation. Proceedings of the National Academy of Sciences. 109(40). 16240–16245. 106 indexed citations
20.
Seifert, Michael, Sandra Cortijo, Maria Colomé‐Tatché, et al.. (2012). MeDIP-HMM: genome-wide identification of distinct DNA methylation states from high-density tiling arrays. Bioinformatics. 28(22). 2930–2939. 19 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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