Ryan S. Austin

1.4k total citations
17 papers, 831 citations indexed

About

Ryan S. Austin is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Ryan S. Austin has authored 17 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 11 papers in Molecular Biology and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Ryan S. Austin's work include Plant Molecular Biology Research (6 papers), Plant-Microbe Interactions and Immunity (4 papers) and Legume Nitrogen Fixing Symbiosis (4 papers). Ryan S. Austin is often cited by papers focused on Plant Molecular Biology Research (6 papers), Plant-Microbe Interactions and Immunity (4 papers) and Legume Nitrogen Fixing Symbiosis (4 papers). Ryan S. Austin collaborates with scholars based in Canada, United States and Taiwan. Ryan S. Austin's co-authors include Nicholas J. Provart, David S. Guttman, Pauline W. Wang, Pauline Fung, Yunchen Gong, Jianfeng Zhang, George Stamatiou, Dario Bonetta, Peter McCourt and Abdelali Hannoufa and has published in prestigious journals such as The Plant Journal, Developmental Cell and Journal of Experimental Botany.

In The Last Decade

Ryan S. Austin

17 papers receiving 824 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan S. Austin Canada 14 729 511 67 36 36 17 831
Junling Huai China 14 1.0k 1.4× 657 1.3× 64 1.0× 18 0.5× 38 1.1× 18 1.1k
Shinji Mizuno Japan 10 815 1.1× 575 1.1× 27 0.4× 37 1.0× 23 0.6× 19 873
Rongxia Guan China 17 1.0k 1.4× 194 0.4× 102 1.5× 25 0.7× 47 1.3× 43 1.1k
Cristina Barrero‐Sicilia Spain 14 703 1.0× 467 0.9× 68 1.0× 22 0.6× 23 0.6× 15 808
Shaoli Zhou China 18 1.0k 1.4× 694 1.4× 116 1.7× 25 0.7× 19 0.5× 32 1.2k
Chuloh Cho South Korea 13 905 1.2× 577 1.1× 27 0.4× 11 0.3× 22 0.6× 25 988
Christian B. Carson United States 7 913 1.3× 603 1.2× 63 0.9× 15 0.4× 60 1.7× 11 1.0k
Katarzyna Kruszka Poland 11 637 0.9× 467 0.9× 30 0.4× 22 0.6× 16 0.4× 22 815
Sujuan Cui China 17 1.1k 1.5× 910 1.8× 57 0.9× 35 1.0× 16 0.4× 37 1.2k
Mamoona Khan Germany 12 833 1.1× 582 1.1× 38 0.6× 17 0.5× 12 0.3× 22 926

Countries citing papers authored by Ryan S. Austin

Since Specialization
Citations

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

Fields of papers citing papers by Ryan S. Austin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan S. Austin. 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 Ryan S. Austin. The network helps show where Ryan S. Austin may publish in the future.

Co-authorship network of co-authors of Ryan S. Austin

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

All Works

17 of 17 papers shown
1.
Xuan, Yang, Kathleen A. Hill, Ryan S. Austin, & Lining Tian. (2021). Differential Gene Expression of Brachypodium distachyon Roots Colonized by Gluconacetobacter diazotrophicus and the Role of BdCESA8 in the Colonization. Molecular Plant-Microbe Interactions. 34(10). 1143–1156. 4 indexed citations
2.
3.
Austin, Ryan S., Gang Tian, Chen Chen, et al.. (2018). Analysis of a novel mutant allele of GSL8 reveals its key roles in cytokinesis and symplastic trafficking in Arabidopsis. BMC Plant Biology. 18(1). 295–295. 34 indexed citations
4.
Chen, Chen, Chenlong Li, Ying Wang, et al.. (2017). Cytosolic acetyl-CoA promotes histone acetylation predominantly at H3K27 in Arabidopsis. Nature Plants. 3(10). 814–824. 81 indexed citations
5.
Dastmalchi, Mehran, et al.. (2017). Transcriptomic evidence for the control of soybean root isoflavonoid content by regulation of overlapping phenylpropanoid pathways. BMC Genomics. 18(1). 70–70. 24 indexed citations
6.
Gao, Ruimin, Ryan S. Austin, Lisa Amyot, & Abdelali Hannoufa. (2016). Comparative transcriptome investigation of global gene expression changes caused by miR156 overexpression in Medicago sativa. BMC Genomics. 17(1). 658–658. 50 indexed citations
7.
Austin, Ryan S., Jamie Waese, Matthew Ierullo, et al.. (2016). New BAR tools for mining expression data and exploring Cis‐elements in Arabidopsis thaliana. The Plant Journal. 88(3). 490–504. 42 indexed citations
8.
Hossain, Md Shakhawat, Sihui Zhong, Ryan S. Austin, et al.. (2016). Lotus japonicus NF-YA1 Plays an Essential Role During Nodule Differentiation and Targets Members of the SHI/STY Gene Family. Molecular Plant-Microbe Interactions. 29(12). 950–964. 44 indexed citations
9.
Elhiti, Mohamed, Huaiyu Wang, Ryan S. Austin, et al.. (2015). Generation of chemically induced mutations using in vitro propagated shoot tip tissues for genetic improvement of fruit trees. Plant Cell Tissue and Organ Culture (PCTOC). 124(2). 447–452. 5 indexed citations
10.
Austin, Ryan S., Steven P. Chatfield, Darrell Desveaux, & David S. Guttman. (2013). Next-Generation Mapping of Genetic Mutations Using Bulk Population Sequencing. Methods in molecular biology. 1062. 301–315. 7 indexed citations
11.
Wu, Di, et al.. (2013). The root transcriptome for North American ginseng assembled and profiled across seasonal development. BMC Genomics. 14(1). 564–564. 32 indexed citations
12.
Zou, Xiaolu, Chun Shi, Ryan S. Austin, et al.. (2013). Genome-wide single nucleotide polymorphism and Insertion-Deletion discovery through next-generation sequencing of reduced representation libraries in common bean. Molecular Breeding. 33(4). 769–778. 17 indexed citations
13.
Schreiber, Karl J., Ryan S. Austin, Yunchen Gong, et al.. (2012). Forward chemical genetic screens in Arabidopsis identify genes that influence sensitivity to the phytotoxic compound sulfamethoxazole. BMC Plant Biology. 12(1). 226–226. 14 indexed citations
14.
Liao, Dengqun, Agnieszka Pająk, Steven R. Karcz, et al.. (2012). Transcripts of sulphur metabolic genes are co-ordinately regulated in developing seeds of common bean lacking phaseolin and major lectins. Journal of Experimental Botany. 63(17). 6283–6295. 16 indexed citations
15.
Winter, Cara M., Ryan S. Austin, Servane Blanvillain‐Baufumé, et al.. (2011). LEAFY Target Genes Reveal Floral Regulatory Logic, cis Motifs, and a Link to Biotic Stimulus Response. Developmental Cell. 20(4). 430–443. 208 indexed citations
16.
Austin, Ryan S., George Stamatiou, Nicholas J. Provart, et al.. (2011). Next‐generation mapping of Arabidopsis genes. The Plant Journal. 67(4). 715–725. 216 indexed citations
17.
Austin, Ryan S., Nicholas J. Provart, & Sean R. Cutler. (2007). C-terminal motif prediction in eukaryotic proteomes using comparative genomics and statistical over-representation across protein families. BMC Genomics. 8(1). 191–191. 16 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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