Iain W. Wilson

7.5k total citations · 1 hit paper
95 papers, 5.4k citations indexed

About

Iain W. Wilson is a scholar working on Plant Science, Molecular Biology and Pharmacology. According to data from OpenAlex, Iain W. Wilson has authored 95 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Plant Science, 43 papers in Molecular Biology and 10 papers in Pharmacology. Recurrent topics in Iain W. Wilson's work include Research in Cotton Cultivation (22 papers), Plant Molecular Biology Research (17 papers) and Plant Virus Research Studies (16 papers). Iain W. Wilson is often cited by papers focused on Research in Cotton Cultivation (22 papers), Plant Molecular Biology Research (17 papers) and Plant Virus Research Studies (16 papers). Iain W. Wilson collaborates with scholars based in Australia, China and United States. Iain W. Wilson's co-authors include Elizabeth S. Dennis, Shauna Somerville, Kemal Kazan, John M. Manners, Danny Llewellyn, Peer M. Schenk, Jonathan P. Anderson, Todd Richmond, Rudy Dolferus and Barry J. Pogson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Bioinformatics.

In The Last Decade

Iain W. Wilson

87 papers receiving 5.3k citations

Hit Papers

Coordinated plant defense responses in Arabidopsis reveal... 2000 2026 2008 2017 2000 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iain W. Wilson Australia 35 4.3k 2.6k 342 336 274 95 5.4k
Xuewen Wang China 31 4.8k 1.1× 4.3k 1.7× 275 0.8× 272 0.8× 267 1.0× 105 7.2k
Tina Romeis Germany 42 6.8k 1.6× 3.4k 1.3× 244 0.7× 310 0.9× 151 0.6× 64 7.8k
Axel Nagel Germany 11 4.0k 0.9× 3.0k 1.2× 216 0.6× 218 0.6× 235 0.9× 12 5.6k
Doil Choi South Korea 47 6.5k 1.5× 2.9k 1.1× 303 0.9× 474 1.4× 98 0.4× 169 7.5k
Brian E. Ellis Canada 48 5.6k 1.3× 4.6k 1.8× 253 0.7× 396 1.2× 132 0.5× 111 7.2k
Antonio Granell Spain 53 6.8k 1.6× 5.7k 2.2× 558 1.6× 275 0.8× 185 0.7× 190 9.5k
Yiji Xia Hong Kong 38 4.8k 1.1× 4.1k 1.6× 199 0.6× 286 0.9× 140 0.5× 82 6.6k
Jae‐Yean Kim South Korea 44 4.0k 0.9× 3.5k 1.4× 218 0.6× 171 0.5× 96 0.4× 124 5.9k
Aardra Kachroo United States 46 5.3k 1.2× 2.3k 0.9× 413 1.2× 380 1.1× 142 0.5× 76 6.1k

Countries citing papers authored by Iain W. Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Iain W. Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iain W. Wilson. 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 Iain W. Wilson. The network helps show where Iain W. Wilson may publish in the future.

Co-authorship network of co-authors of Iain W. Wilson

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

All Works

20 of 20 papers shown
1.
Wu, Wen‐Li, Tingting Yan, Yuanyuan Zhao, et al.. (2025). CYP82G1 Enzyme Functions as Chromone Hydroxylase in the Biosynthesis of 6‐Hydroxy‐2‐(2‐Phenylethyl)chromone in Aquilaria sinensis. Plant Biotechnology Journal. 23(12). 5570–5584.
2.
Smith, Linda J., Warwick N. Stiller, Gunjan Pandey, et al.. (2025). Comparative Genomics Reveals Ancient and Unique Pathogenicity Features in Australian Fusarium oxysporum f. sp. vasinfectum. Journal of Fungi. 11(7). 481–481.
4.
Lin, Xiaodong, Yan Wang, Changming Mo, et al.. (2024). Selection of Reference Genes in Siraitia siamensis and Expression Patterns of Genes Involved in Mogrosides Biosynthesis. Plants. 13(17). 2449–2449. 1 indexed citations
5.
Wilson, Iain W., Huan Zhao, Zuliang Luo, et al.. (2023). Genome-Wide Identification and Expression Analysis of WRKY Transcription Factors in Siraitia siamensis. Plants. 12(2). 288–288. 13 indexed citations
6.
He, Shoupu, et al.. (2023). Dissecting the major genetic components underlying cotton lint development. Genetics. 226(2). 4 indexed citations
8.
Li, Zitong, Shiming Liu, Warren C. Conaty, et al.. (2022). Genomic prediction of cotton fibre quality and yield traits using Bayesian regression methods. Heredity. 129(2). 103–112. 12 indexed citations
9.
Zhu, Qian‐Hao, Warwick N. Stiller, Yinhua Jia, et al.. (2017). Genetic dissection of the fuzzless seed trait in Gossypium barbadense. Journal of Experimental Botany. 69(5). 997–1009. 36 indexed citations
10.
Zhang, Jian, Qian‐Hao Zhu, Philippe Moncuquet, Danny Llewellyn, & Iain W. Wilson. (2016). Genome-wide identification and characterization of the homeodomain-leucine zipper I family of genes in cotton (Gossypium spp.). Plant Gene. 7. 50–61. 5 indexed citations
11.
Wang, Shuai, Hongwei Liu, Yanfang Yang, et al.. (2015). Studies on the Production of (E,E)-geranyllinalool in E. coli. 4(3). 1 indexed citations
12.
Sun, Guiling, Yanfang Yang, Fuliang Xie, et al.. (2013). Deep Sequencing Reveals Transcriptome Re-Programming of Taxus × media Cells to the Elicitation with Methyl Jasmonate. PLoS ONE. 8(4). e62865–e62865. 69 indexed citations
13.
Sun, Guiling, Yanfang Yang, Fuliang Xie, et al.. (2013). Correction: Deep Sequencing Reveals Transcriptome Re-Programming of Taxus × media Cells to the Elicitation with Methyl Jasmonate. PLoS ONE. 8(6). 8 indexed citations
14.
Wilson, Iain W., Jun‐Yi Yang, Danny Llewellyn, et al.. (2010). Arabidopsis RAP2.2 : An Ethylene Response Transcription Factor That Is Important for Hypoxia Survival    . PLANT PHYSIOLOGY. 153(2). 757–772. 292 indexed citations
15.
Wilson, Iain W., et al.. (2006). Fusarium wilt ( Fusarium oxysporum f. sp. vasinfectum ) genes expressed during infection of cotton ( Gossypium hirsutum )†. Molecular Plant Pathology. 7(2). 87–101. 22 indexed citations
16.
Kazan, Kemal, Iain W. Wilson, Dominique Van Der Straeten, et al.. (2005). The transcription factor ATAF2 represses the expression of pathogenesis‐related genes in Arabidopsis. The Plant Journal. 43(5). 745–757. 259 indexed citations
17.
Helliwell, Chris A., et al.. (2001). The Arabidopsis AMP1 Gene Encodes a Putative Glutamate Carboxypeptidase. The Plant Cell. 13(9). 2115–2125. 146 indexed citations
18.
Kazan, Kemal, Peer M. Schenk, Iain W. Wilson, & John M. Manners. (2001). DNA microarrays: new tools in the analysis of plant defence responses. Molecular Plant Pathology. 2(3). 177–185. 29 indexed citations
19.
Schenk, Peer M., Kemal Kazan, Iain W. Wilson, et al.. (2000). Coordinated plant defense responses in Arabidopsis revealed by microarray analysis. Proceedings of the National Academy of Sciences. 97(21). 11655–11660. 1073 indexed citations breakdown →
20.
Wilson, Iain W., John P. Vogel, & Shauna Somerville. (1997). Signalling pathways: A common theme in plants and animals?. Current Biology. 7(3). R175–R178. 48 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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