Shawn Thatcher

2.0k total citations
17 papers, 1.3k citations indexed

About

Shawn Thatcher is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Shawn Thatcher has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 8 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Shawn Thatcher's work include Plant Molecular Biology Research (6 papers), Plant Stress Responses and Tolerance (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Shawn Thatcher is often cited by papers focused on Plant Molecular Biology Research (6 papers), Plant Stress Responses and Tolerance (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Shawn Thatcher collaborates with scholars based in United States, China and Switzerland. Shawn Thatcher's co-authors include Pamela J. Green, Christian Cole, Cheng Lü, Andrew Sobala, Andrew Bowman, Geoffrey J. Barton, John W. Brown, György Hutvàgner, Gina Zastrow‐Hayes and Mary Beatty and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Shawn Thatcher

16 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shawn Thatcher United States	12	970	663	319	144	59	17	1.3k
Pablo A. Manavella Argentina	24	1.6k 1.7×	2.2k 3.4×	168 0.5×	54 0.4×	33 0.6×	52	2.5k
Hangxiao Zhang China	18	608 0.6×	426 0.6×	104 0.3×	59 0.4×	17 0.3×	41	915
Yu Yu China	18	1.3k 1.3×	1.8k 2.8×	214 0.7×	47 0.3×	36 0.6×	54	2.2k
Ceyda Çoruh United States	14	560 0.6×	959 1.4×	122 0.4×	45 0.3×	24 0.4×	17	1.2k
Manabu Yoshikawa Japan	18	1.7k 1.8×	2.2k 3.3×	131 0.4×	93 0.6×	76 1.3×	30	2.7k
Taiowa A. Montgomery United States	22	2.4k 2.5×	2.9k 4.3×	208 0.7×	91 0.6×	61 1.0×	31	3.7k
Shengben Li United States	14	802 0.8×	1.4k 2.0×	106 0.3×	131 0.9×	10 0.2×	15	1.6k
Miya D. Howell United States	7	1.7k 1.8×	2.7k 4.1×	228 0.7×	34 0.2×	52 0.9×	8	3.0k
Matthew M. S. Evans United States	20	1.1k 1.1×	1.3k 2.0×	203 0.6×	234 1.6×	17 0.3×	29	1.6k

Countries citing papers authored by Shawn Thatcher

Since Specialization

Citations

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

Fields of papers citing papers by Shawn Thatcher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shawn Thatcher

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

All Works

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17 of 17 papers shown

Cramer, Angela, Chenglin Yao, Andrew J. Bowling, et al.. (2025). Spatial and single-cell transcriptomics capture two distinct cell states in soybean defense response to Phakopsora pachyrhizi infection. Frontiers in Plant Science. 16. 1637176–1637176. 1 indexed citations

Chamberlin, Mark A., Angela Cramer, Mary A. Rupe, et al.. (2025). Characterizing the Mode of Resistance Conferred Against Asian Soybean Rust by CcRpp1 , a Novel R Gene from Cajanus cajan. Phytopathology. 116(1). 137–150.

Thatcher, Shawn, Mark Jung, Kevin Fengler, et al.. (2023). The NLRomes of Zea mays NAM founder lines and Zea luxurians display presence–absence variation, integrated domain diversity, and mobility. Molecular Plant Pathology. 24(7). 742–757. 13 indexed citations

Liu, Yutong, Yanbo Wang, Min Jiang, et al.. (2023). ZmWAK02 encoding an RD‐WAK protein confers maize resistance against gray leaf spot. New Phytologist. 241(4). 1780–1793. 12 indexed citations

Roesler, Keith R., Shawn Thatcher, John D. Everard, et al.. (2023). A Novel Soybean Diacylglycerol Acyltransferase 1b Variant with Three Amino Acid Substitutions Increases Seed Oil Content. Plant and Cell Physiology. 65(6). 872–884. 3 indexed citations

Jiao, Shuping, Sujan Mamidi, Mark A. Chamberlin, et al.. (2023). Parallel tuning of semi‐dwarfism via differential splicing of Brachytic1 in commercial maize and smallholder sorghum. New Phytologist. 240(5). 1930–1943. 3 indexed citations

Thatcher, Shawn, April Leonard, Zhenglin Hou, et al.. (2022). The northern corn leaf blight resistance gene Ht1 encodes an nucleotide‐binding, leucine‐rich repeat immune receptor. Molecular Plant Pathology. 24(7). 758–767. 11 indexed citations

Danilevskaya, Olga N., Gong-Xin Yu, Xin Meng, et al.. (2019). Developmental and transcriptional responses of maize to drought stress under field conditions. Plant Direct. 3(5). e00129–e00129. 41 indexed citations

Thatcher, Shawn, Olga N. Danilevskaya, Xin Meng, et al.. (2015). Genome-Wide Analysis of Alternative Splicing during Development and Drought Stress in Maize. PLANT PHYSIOLOGY. 170(1). 586–599. 188 indexed citations

10.

Xiao, Yingni, Shawn Thatcher, Min Wang, et al.. (2015). Transcriptome analysis of near‐isogenic lines provides molecular insights into starch biosynthesis in maize kernel. Journal of Integrative Plant Biology. 58(8). 713–723. 18 indexed citations

11.

Thatcher, Shawn, Wengang Zhou, April Leonard, et al.. (2014). Genome-Wide Analysis of Alternative Splicing in Zea mays: Landscape and Genetic Regulation . The Plant Cell. 26(9). 3472–3487. 170 indexed citations

12.

Thatcher, Shawn, Shaul Burd, C. David Wright, Amnon Lers, & Pamela J. Green. (2014). Differential expression of miRNAs and their target genes in senescing leaves and siliques: insights from deep sequencing of small RNAs and cleaved target RNAs. Plant Cell & Environment. 38(1). 188–200. 50 indexed citations

13.

Thatcher, Shawn, et al.. (2013). Comprehensive Investigation of MicroRNAs Enhanced by Analysis of Sequence Variants, Expression Patterns, ARGONAUTE Loading, and Target Cleavage. PLANT PHYSIOLOGY. 162(3). 1225–1245. 57 indexed citations

14.

Greenberg, Jeffrey K., Jing Xia, Xiang Zhou, et al.. (2012). Behavioral plasticity in honey bees is associated with differences in brain microRNA transcriptome. Genes Brain & Behavior. 11(6). 660–670. 81 indexed citations

15.

Cole, Christian, Andrew Sobala, Cheng Lü, et al.. (2009). Filtering of deep sequencing data reveals the existence of abundant Dicer-dependent small RNAs derived from tRNAs. RNA. 15(12). 2147–2160. 492 indexed citations

16.

Jeong, Dong‐Hoon, Marcelo A. German, Linda A. Rymarquis, Shawn Thatcher, & Pamela J. Green. (2009). Abiotic Stress-Associated miRNAs: Detection and Functional Analysis. Methods in molecular biology. 592. 203–230. 24 indexed citations

17.

Lu, Cheng, Dong‐Hoon Jeong, Manoj Pillay, et al.. (2008). Genome-wide analysis for discovery of rice microRNAs reveals natural antisense microRNAs (nat-miRNAs). Proceedings of the National Academy of Sciences. 105(12). 4951–4956. 184 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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