Katherine Petsch

1.0k total citations · 1 hit paper
8 papers, 739 citations indexed

About

Katherine Petsch is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Katherine Petsch has authored 8 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 3 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Katherine Petsch's work include Chromosomal and Genetic Variations (4 papers), Plant Molecular Biology Research (4 papers) and Plant Virus Research Studies (2 papers). Katherine Petsch is often cited by papers focused on Chromosomal and Genetic Variations (4 papers), Plant Molecular Biology Research (4 papers) and Plant Virus Research Studies (2 papers). Katherine Petsch collaborates with scholars based in United States, Australia and Italy. Katherine Petsch's co-authors include Marja C.P. Timmermans, Michael J. Scanlon, Jianming Yu, Patrick S. Schnable, Cheng‐Ting Yeh, Rena Shimizu, Nathan M. Springer, Gary J. Muehlbauer, Rex A Cole and Wei Wu and has published in prestigious journals such as The Plant Cell, PLANT PHYSIOLOGY and The Plant Journal.

In The Last Decade

Katherine Petsch

8 papers receiving 732 citations

Hit Papers

Genome-wide discovery and characterization of maize long ... 2014 2026 2018 2022 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Genome-wide discovery and characterization of maize long non-coding RNAs
    2014 388 citations Lin Li, Steven R. Eichten et al. Genome biology profile →

Peers

Katherine Petsch
Hailiang Mao China
Antony M. Chettoor United States
Peng Shuai China
Meng-Qi Lei China
Liuling Pei China
Florian Bardou France
Runchun Jing United Kingdom
Cristiane P. G. Calixto United Kingdom
Stephen E. Schauer United States
Christel Llauro France
Hailiang Mao China
Katherine Petsch
Citations per year, relative to Katherine Petsch Katherine Petsch (= 1×) peers Hailiang Mao

Countries citing papers authored by Katherine Petsch

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Petsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Petsch

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

All Works

8 of 8 papers shown
1.
Petsch, Katherine, Oliver H. Tam, Robert Meeley, et al.. (2015). Novel DICER-LIKE1 siRNAs Bypass the Requirement for DICER-LIKE4 in Maize Development. The Plant Cell. 27(8). 2163–2177. 18 indexed citations
2.
Li, Lin, Steven R. Eichten, Rena Shimizu, et al.. (2014). Genome-wide discovery and characterization of maize long non-coding RNAs. Genome biology. 15(2). R40–R40. 388 indexed citations breakdown →
3.
Dotto, Marcela, Katherine Petsch, Milo J. Aukerman, et al.. (2014). Genome-Wide Analysis of leafbladeless1-Regulated and Phased Small RNAs Underscores the Importance of the TAS3 ta-siRNA Pathway to Maize Development. PLoS Genetics. 10(12). e1004826–e1004826. 47 indexed citations
4.
Li, Lin, Katherine Petsch, Rena Shimizu, et al.. (2013). Mendelian and Non-Mendelian Regulation of Gene Expression in Maize. PLoS Genetics. 9(1). e1003202–e1003202. 76 indexed citations
5.
Zhai, Jixian, Yuanyuan Zhao, Stacey A. Simon, et al.. (2013). Plant MicroRNAs Display Differential 3' Truncation and Tailing Modifications That Are ARGONAUTE1 Dependent and Conserved Across Species. The Plant Cell. 25(7). 2417–2428. 81 indexed citations
6.
Li, Xianran, Chengsong Zhu, Cheng‐Ting Yeh, et al.. (2012). Genic and nongenic contributions to natural variation of quantitative traits in maize. Genome Research. 22(12). 2436–2444. 99 indexed citations
7.
Petsch, Katherine, et al.. (2009). Targeted forward mutagenesis by transitive RNAi. The Plant Journal. 61(5). 873–882. 6 indexed citations
8.
Petsch, Katherine, Joshua S. Mylne, & José Ramón Botella. (2005). Cosuppression of Eukaryotic Release Factor 1-1 in Arabidopsis Affects Cell Elongation and Radial Cell Division. PLANT PHYSIOLOGY. 139(1). 115–126. 24 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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