Neil J. Shirley

8.2k total citations · 2 hit papers
93 papers, 5.5k citations indexed

About

Neil J. Shirley is a scholar working on Plant Science, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Neil J. Shirley has authored 93 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Plant Science, 39 papers in Molecular Biology and 24 papers in Biomedical Engineering. Recurrent topics in Neil J. Shirley's work include Polysaccharides and Plant Cell Walls (34 papers), Plant nutrient uptake and metabolism (25 papers) and Biofuel production and bioconversion (24 papers). Neil J. Shirley is often cited by papers focused on Polysaccharides and Plant Cell Walls (34 papers), Plant nutrient uptake and metabolism (25 papers) and Biofuel production and bioconversion (24 papers). Neil J. Shirley collaborates with scholars based in Australia, United States and United Kingdom. Neil J. Shirley's co-authors include Geoffrey B. Fincher, Rachel A. Burton, Rohan G. T. Lowe, Mark R. Bleackley, Stephen K. Dolan, Thomas Shafee, Andrew J. Harvey, Peter Langridge, Antony Bacic and Alan Little and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Neil J. Shirley

91 papers receiving 5.4k citations

Hit Papers

align trajectories

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.

Transcriptomics technologies

2017 656 citations Rohan G. T. Lowe, Neil J. Shirley et al. PLoS Computational Biology profile →
The Plant Cell Wall: A Complex and Dynamic Structure As Revealed by the Responses of Genes under Stress Conditions

2016 323 citations Kelly Houston, Matthew R. Tucker et al. Frontiers in Plant Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Neil J. Shirley Australia	37	4.2k	2.1k	776	639	471	93	5.5k
Guangyuan He China	49	4.5k 1.1×	3.3k 1.6×	221 0.3×	495 0.8×	361 0.8×	196	7.0k
Jenny C. Mortimer United States	35	3.0k 0.7×	2.2k 1.1×	1.3k 1.7×	441 0.7×	376 0.8×	91	4.7k
Javier Pozueta‐Romero Spain	35	2.8k 0.7×	1.9k 0.9×	307 0.4×	705 1.1×	410 0.9×	111	4.3k
Paulo Arruda Brazil	45	3.6k 0.9×	2.9k 1.4×	665 0.9×	206 0.3×	214 0.5×	136	5.8k
Guangxiao Yang China	50	5.0k 1.2×	3.6k 1.7×	178 0.2×	454 0.7×	308 0.7×	191	7.3k
Felice Cervone Italy	53	7.3k 1.7×	3.0k 1.5×	526 0.7×	259 0.4×	343 0.7×	114	8.0k
Sonia Osorio Spain	50	7.1k 1.7×	3.9k 1.9×	230 0.3×	273 0.4×	599 1.3×	123	8.6k
Giulia De Lorenzo Italy	54	8.4k 2.0×	3.6k 1.7×	455 0.6×	261 0.4×	294 0.6×	130	9.2k
Ai‐Sheng Xiong China	52	6.2k 1.5×	6.1k 3.0×	334 0.4×	225 0.4×	417 0.9×	345	9.6k
Edurne Baroja‐Fernández Spain	32	2.0k 0.5×	1.4k 0.7×	246 0.3×	469 0.7×	342 0.7×	77	3.3k

Countries citing papers authored by Neil J. Shirley

Since Specialization

Citations

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

Fields of papers citing papers by Neil J. Shirley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil J. Shirley. 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 Neil J. Shirley. The network helps show where Neil J. Shirley may publish in the future.

Co-authorship network of co-authors of Neil J. Shirley

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

All Works

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20 of 20 papers shown

Yang, Xiujuan, Gang Li, Shi Jin, et al.. (2025). MADS31 supports female germline development by repressing the post-fertilization programme in cereal ovules. Nature Plants. 11(3). 543–560. 2 indexed citations

Pinto, Sara Cristina, Lauren S. McKee, Chao Ma, et al.. (2024). Germline β−1,3-glucan deposits are required for female gametogenesis in Arabidopsis thaliana. Nature Communications. 15(1). 5875–5875. 3 indexed citations

Yang, Xiujuan, et al.. (2023). HvSL1andHvMADS16promote stamen identity to restrict multiple ovary formation in barley. Journal of Experimental Botany. 74(17). 5039–5056. 6 indexed citations

Yang, Xiujuan, et al.. (2023). Ovule cell wall composition is a maternal determinant of grain size in barley. New Phytologist. 237(6). 2136–2147. 12 indexed citations

Schwerdt, Julian G., Long Yu, Neil J. Shirley, et al.. (2023). Identification and characterisation of MdUGT78T2 as a galactosyltransferase with dual activity on flavonol and anthocyanidin substrates in red-skinned apple fruit (Malus domestica L.). Food Chemistry. 424. 136388–136388. 6 indexed citations

Shirley, Neil J., Kelly Houston, Ryan Whitford, et al.. (2021). HvLEAFY controls the early stages of floral organ specification and inhibits the formation of multiple ovaries in barley. The Plant Journal. 108(2). 509–527. 19 indexed citations

Šesták, Sergej, Jozef Mravec, Soňa Garajová, et al.. (2020). Another building block in the plant cell wall: Barley xyloglucan xyloglucosyl transferases link covalently xyloglucan and anionic oligosaccharides derived from pectin. The Plant Journal. 104(3). 752–767. 20 indexed citations

Betts, Natalie S., Helen M. Collins, Neil J. Shirley, et al.. (2020). Identification and spatio-temporal expression analysis of barley genes that encode putative modular xylanolytic enzymes. Plant Science. 308. 110792–110792.

Coventry, Stewart, Neil J. Shirley, Natalie S. Betts, et al.. (2018). Differences in hydrolytic enzyme activity accompany natural variation in mature aleurone morphology in barley (Hordeum vulgare L.). Scientific Reports. 8(1). 11025–11025. 28 indexed citations

10.

Lowe, Rohan G. T., Neil J. Shirley, Mark R. Bleackley, Stephen K. Dolan, & Thomas Shafee. (2017). Transcriptomics technologies. PLoS Computational Biology. 13(5). e1005457–e1005457. 656 indexed citations breakdown →

11.

Zhang, Runxuan, Matthew R. Tucker, Rachel A. Burton, et al.. (2016). The Dynamics of Transcript Abundance during Cellularization of Developing Barley Endosperm. PLANT PHYSIOLOGY. 170(3). 1549–1565. 25 indexed citations

12.

Houston, Kelly, Matthew R. Tucker, Jamil Chowdhury, Neil J. Shirley, & Alan Little. (2016). The Plant Cell Wall: A Complex and Dynamic Structure As Revealed by the Responses of Genes under Stress Conditions. Frontiers in Plant Science. 7. 984–984. 323 indexed citations breakdown →

13.

Lewis, J., Neil J. Shirley, Marilyn Henderson, et al.. (2015). The dynamics of cereal cyst nematode infection differ between susceptible and resistant barley cultivars and lead to changes in (1,3;1,4)‐β‐glucan levels and HvCslF gene transcript abundance. New Phytologist. 207(1). 135–147. 40 indexed citations

14.

Wong, Sie Chuong, Neil J. Shirley, Alan Little, et al.. (2015). Differential expression of the HvCslF6 gene late in grain development may explain quantitative differences in (1,3;1,4)-β-glucan concentration in barley. Molecular Breeding. 35(1). 20–20. 18 indexed citations

15.

Houston, Kelly, Joanne Russell, Miriam Schreiber, et al.. (2014). A genome wide association scan for (1,3;1,4)-β-glucan content in the grain of contemporary 2-row Spring and Winter barleys. BMC Genomics. 15(1). 907–907. 56 indexed citations

16.

Morran, Sarah, Omid Eini, Rohan Singh, et al.. (2010). Improvement of stress tolerance of wheat and barley by modulation of expression of DREB/CBF factors. Plant Biotechnology Journal. 9(2). 230–249. 343 indexed citations

17.

Burton, Rachel A., Sarah M. Wilson, Mária Hrmová, et al.. (2006). Cellulose Synthase-Like CslF Genes Mediate the Synthesis of Cell Wall (1,3;1,4)-ß- d -Glucans. Science. 311(5769). 1940–1942. 335 indexed citations

18.

Lunde, Christina, Ute Baumann, Neil J. Shirley, Damian P. Drew, & Geoffrey B. Fincher. (2006). Gene Structure and Expression Pattern Analysis of Three Monodehydroascorbate Reductase (Mdhar) Genes in Physcomitrella patens: Implications for the Evolution of the MDHAR Family in Plants*. Plant Molecular Biology. 60(2). 259–275. 47 indexed citations

19.

Zhang, Qisen, Mária Hrmová, Neil J. Shirley, Jelle Lahnstein, & Geoffrey B. Fincher. (2006). Gene expression patterns and catalytic properties of UDP-D-glucose 4-epimerases from barley (Hordeum vulgare L.). Biochemical Journal. 394(1). 115–124. 45 indexed citations

20.

Hrmová, Mária, Andrew J. Harvey, Jun Wang, et al.. (1996). Barley β-D-Glucan Exohydrolases with β-D-Glucosidase Activity. Journal of Biological Chemistry. 271(9). 5277–5286. 134 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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