Sarah Tucker

878 total citations
7 papers, 526 citations indexed

About

Sarah Tucker is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Sarah Tucker has authored 7 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 4 papers in Molecular Biology and 1 paper in Agronomy and Crop Science. Recurrent topics in Sarah Tucker's work include Chromosomal and Genetic Variations (4 papers), Plant Molecular Biology Research (3 papers) and RNA modifications and cancer (3 papers). Sarah Tucker is often cited by papers focused on Chromosomal and Genetic Variations (4 papers), Plant Molecular Biology Research (3 papers) and RNA modifications and cancer (3 papers). Sarah Tucker collaborates with scholars based in United States, France and Portugal. Sarah Tucker's co-authors include Craig S. Pikaard, Olga Pontes, Alexa P. Vitins, Pedro Costa‐Nunes, Frédéric Pontvianne, Todd Blevins, Keith Earley, Andrzej Wierzbicki, John F. Reece and Thomas S. Ream and has published in prestigious journals such as Genes & Development, Molecular Cell and Current Opinion in Cell Biology.

In The Last Decade

Sarah Tucker

7 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Tucker United States 7 414 369 30 13 11 7 526
Yoon‐Jung Hwang South Korea 10 322 0.8× 261 0.7× 30 1.0× 40 3.1× 10 0.9× 27 391
Alicja B Kunkowska Italy 4 351 0.8× 150 0.4× 8 0.3× 11 0.8× 7 0.6× 9 393
Kaushik Panda United States 12 830 2.0× 520 1.4× 41 1.4× 15 1.2× 14 1.3× 14 919
Frédéric Van Ex United States 8 762 1.8× 523 1.4× 59 2.0× 21 1.6× 18 1.6× 8 846
Yaru Fu China 8 210 0.5× 196 0.5× 55 1.8× 25 1.9× 24 2.2× 15 316
Taotao Zhu China 8 336 0.8× 341 0.9× 48 1.6× 18 1.4× 9 0.8× 12 411
Wenjing She Switzerland 8 451 1.1× 363 1.0× 28 0.9× 18 1.4× 6 0.5× 12 501
Sharmila Singh India 11 434 1.0× 266 0.7× 10 0.3× 8 0.6× 13 1.2× 14 476
April Leonard United States 6 258 0.6× 212 0.6× 52 1.7× 5 0.4× 9 0.8× 6 340
Fabricio Almeida‐Silva Brazil 12 206 0.5× 124 0.3× 37 1.2× 14 1.1× 9 0.8× 27 294

Countries citing papers authored by Sarah Tucker

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Tucker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Tucker

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

All Works

7 of 7 papers shown
1.
Tucker, Sarah, Frank G. Dohleman, Dmitry Grapov, et al.. (2019). Evaluating maize phenotypic variance, heritability, and yield relationships at multiple biological scales across agronomically relevant environments. Plant Cell & Environment. 43(4). 880–902. 28 indexed citations
2.
Pontvianne, Frédéric, Todd Blevins, Chinmayi Chandrasekhara, et al.. (2013). Subnuclear partitioning of rRNA genes between the nucleolus and nucleoplasm reflects alternative epiallelic states. Genes & Development. 27(14). 1545–1550. 105 indexed citations
3.
Tucker, Sarah, Alexa P. Vitins, & Craig S. Pikaard. (2010). Nucleolar dominance and ribosomal RNA gene silencing. Current Opinion in Cell Biology. 22(3). 351–356. 92 indexed citations
4.
Tucker, Sarah, John F. Reece, Thomas S. Ream, & Craig S. Pikaard. (2010). Evolutionary History of Plant Multisubunit RNA Polymerases IV and V: Subunit Origins via Genome-Wide and Segmental Gene Duplications, Retrotransposition, and Lineage-Specific Subfunctionalization. Cold Spring Harbor Symposia on Quantitative Biology. 75(0). 285–297. 49 indexed citations
5.
Earley, Keith, Frédéric Pontvianne, Andrzej Wierzbicki, et al.. (2010). Mechanisms of HDA6-mediated rRNA gene silencing: suppression of intergenic Pol II transcription and differential effects on maintenance versus siRNA-directed cytosine methylation. Genes & Development. 24(11). 1119–1132. 127 indexed citations
6.
Pikaard, Craig S. & Sarah Tucker. (2009). RNA-Silencing Enzymes Pol IV and Pol V in Maize: More than one Flavor?. PLoS Genetics. 5(11). e1000736–e1000736. 11 indexed citations
7.
Preuss, Sasha, Pedro Costa‐Nunes, Sarah Tucker, et al.. (2008). Multimegabase Silencing in Nucleolar Dominance Involves siRNA-Directed DNA Methylation and Specific Methylcytosine-Binding Proteins. Molecular Cell. 32(5). 673–684. 114 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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