Saskia Rueb

1.2k total citations
21 papers, 975 citations indexed

About

Saskia Rueb is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Saskia Rueb has authored 21 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Plant Science and 6 papers in Biotechnology. Recurrent topics in Saskia Rueb's work include Plant tissue culture and regeneration (9 papers), Plant Molecular Biology Research (7 papers) and Plant Reproductive Biology (7 papers). Saskia Rueb is often cited by papers focused on Plant tissue culture and regeneration (9 papers), Plant Molecular Biology Research (7 papers) and Plant Reproductive Biology (7 papers). Saskia Rueb collaborates with scholars based in Netherlands, United States and France. Saskia Rueb's co-authors include Annemarie H. Meijer, Enrico Scarpella, R. A. Schilperoort, L. A. M. Hensgens, J. Harry C. Hoge, Pieter B. F. Ouwerkerk, Kees J. M. Boot, Emmanuel Guiderdoni, Christophe Sallaud and Donaldo Meynard and has published in prestigious journals such as Development, PLANT PHYSIOLOGY and Macromolecules.

In The Last Decade

Saskia Rueb

21 papers receiving 923 citations

Peers

Saskia Rueb

MB

PS

BIOTE

CB

GENET

Claude Gigot France

László Bakó Sweden

Keith Lowe United States

Diego Albani Italy

Yannick Bellec France

Su‐May Yu Taiwan

M. Terzi Italy

Peter S. Carlson United States

Michele Wolfe Bianchi France

Mingtang Xie United States

Claude Gigot France

Saskia Rueb

1.3k ×1.7

MB

1.2k ×1.6

PS

97 ×0.6

BIOTE

69 ×1.6

CB

63 ×1.5

GENET

Citations per year, relative to Saskia Rueb Saskia Rueb (= 1×) peers Claude Gigot

Countries citing papers authored by Saskia Rueb

Since Specialization

Citations

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

Fields of papers citing papers by Saskia Rueb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saskia Rueb

This figure shows the co-authorship network connecting the top 25 collaborators of Saskia Rueb. A scholar is included among the top collaborators of Saskia Rueb 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 Saskia Rueb. Saskia Rueb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Camus, Suzanne, Celia Quevedo, Sergio Ménendez, et al.. (2011). Identification of phosphorylase kinase as a novel therapeutic target through high-throughput screening for anti-angiogenesis compounds in zebrafish. Oncogene. 31(39). 4333–4342. 40 indexed citations

2.

Besseling, N. A. M., et al.. (2011). Random Scission of Polymers: Numerical Simulations, and Experiments on Hyaluronan Hydrolosis. Macromolecules. 44(8). 2559–2567. 13 indexed citations

3.

He, Shuning, Enrique Salas‐Vidal, Saskia Rueb, et al.. (2006). Genetic and Transcriptome Characterization of Model Zebrafish Cell Lines. Zebrafish. 3(4). 441–453. 36 indexed citations

4.

Lamers, Gerda E. M., Saskia Rueb, Enrico Scarpella, et al.. (2004). Different subcellular localization and trafficking properties of KNOX class 1 homeodomain proteins from rice. Plant Molecular Biology. 55(6). 781–796. 23 indexed citations

5.

Lamers, Gerda E. M., Saskia Rueb, Enrico Scarpella, et al.. (2004). Different subcellular localization and trafficking properties of KNOX class 1 homeodomain proteins from rice. Plant Molecular Biology. 55(6). 781–796. 24 indexed citations

6.

Scarpella, Enrico, Saskia Rueb, & Annemarie H. Meijer. (2003). The RADICLELESS1 gene is required for vascular pattern formation in rice. Development. 130(4). 645–658. 102 indexed citations

7.

Sallaud, Christophe, Donaldo Meynard, Jos Van Boxtel, et al.. (2003). Highly efficient production and characterization of T-DNA plants for rice (Oryza sativa L.) functional genomics. Theoretical and Applied Genetics. 106(8). 1396–1408. 203 indexed citations

8.

Rueb, Saskia, et al.. (2002). Developmental regulation and downstream effects of the knox class homeobox genes Oskn2 and Oskn3 from rice. Plant Molecular Biology. 48(4). 423–441. 22 indexed citations

9.

Scarpella, Enrico, Kees J. M. Boot, Saskia Rueb, & Annemarie H. Meijer. (2002). The Procambium Specification Gene Oshox1 Promotes Polar Auxin Transport Capacity and Reduces Its Sensitivity toward Inhibition. PLANT PHYSIOLOGY. 130(3). 1349–1360. 28 indexed citations

10.

Scarpella, Enrico, Saskia Rueb, Kees J. M. Boot, J. Harry C. Hoge, & Annemarie H. Meijer. (2000). A role for the rice homeobox geneOshox1in provascular cell fate commitment. Development. 127(17). 3655–3669. 65 indexed citations

11.

Cardoso, Inês Lopes, et al.. (1997). A promoter region that controls basal and elicitor-inducible expression levels of the NADPH:cytochrome P450 reductase gene (Cpr ) from Catharanthus roseus binds nuclear factor GT-1. Molecular and General Genetics MGG. 256(6). 674–681. 33 indexed citations

12.

Meijer, Annemarie H., Enrico Scarpella, Erwin L. van Dijk, et al.. (1997). Transcriptional repression by Oshox1, a novel homeodomain leucine zipper protein from rice. The Plant Journal. 11(2). 263–276. 93 indexed citations

13.

Cardoso, Inês Lopes, et al.. (1997). A promoter region that controls basal and elicitor-inducible expression levels of the NADPH:cytochrome P450 reductase gene (. Molecular and General Genetics MGG. 256(6). 674–674. 3 indexed citations

14.

Rueb, Saskia, et al.. (1994). Stable transformation and long-term expression of the gusA reporter gene in callus lines of perennial ryegrass (Lolium perenne L.). Plant Molecular Biology. 24(2). 401–405. 25 indexed citations

15.

Rueb, Saskia, et al.. (1994). Efficient plant regeneration through somatic embryogenesis from callus induced on mature rice embryos (Oryza sativa L.). Plant Cell Tissue and Organ Culture (PCTOC). 36(2). 259–264. 114 indexed citations

16.

Hensgens, L. A. M., et al.. (1993). Transient and stable expression of gusA fusions with rice genes in rice, barley and perennial ryegrass. Plant Molecular Biology. 23(4). 643–669. 15 indexed citations

17.

Hensgens, L. A. M., et al.. (1993). Transient and stable expression ofgusA fusions with rice genes in rice, barley and perennial ryegrass. Plant Molecular Biology. 22(6). 1101–1127. 26 indexed citations

18.

Pater, B. Sylvia de, F. van der Mark, Saskia Rueb, et al.. (1992). The promoter of the rice gene GOS2 is active in various different monocot tissues and binds rice nuclear factor ASF-1. The Plant Journal. 2(6). 837–844. 2 indexed citations

19.

Hensgens, L. A. M., et al.. (1992). Translation controls the expression level of a chimaeric reporter gene. Plant Molecular Biology. 20(5). 921–938. 17 indexed citations

20.

Meijer, E. G. M., et al.. (1991). Transgenic rice cell lines and plants: expression of transferred chimeric genes. Plant Molecular Biology. 16(5). 807–820. 45 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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