Jonathan A. Atkinson

3.0k total citations · 1 hit paper
35 papers, 1.8k citations indexed

About

Jonathan A. Atkinson is a scholar working on Plant Science, Molecular Biology and Environmental Engineering. According to data from OpenAlex, Jonathan A. Atkinson has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 8 papers in Molecular Biology and 6 papers in Environmental Engineering. Recurrent topics in Jonathan A. Atkinson's work include Plant nutrient uptake and metabolism (23 papers), Plant Molecular Biology Research (7 papers) and Rice Cultivation and Yield Improvement (6 papers). Jonathan A. Atkinson is often cited by papers focused on Plant nutrient uptake and metabolism (23 papers), Plant Molecular Biology Research (7 papers) and Rice Cultivation and Yield Improvement (6 papers). Jonathan A. Atkinson collaborates with scholars based in United Kingdom, United States and China. Jonathan A. Atkinson's co-authors include Darren M. Wells, Michael P. Pound, Malcolm J. Bennett, Tony Pridmore, Andrew P. French, Sacha J. Mooney, Erik H. Murchie, Marcus Griffiths, Craig J. Sturrock and Ute Voß and has published in prestigious journals such as SHILAP Revista de lepidopterología, Development and PLANT PHYSIOLOGY.

In The Last Decade

Jonathan A. Atkinson

33 papers receiving 1.8k 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.

Uncovering the hidden half of plants using new advances in root phenotyping

2018 241 citations Jonathan A. Atkinson, Michael P. Pound et al. Current Opinion in Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan A. Atkinson United Kingdom	18	1.5k	259	250	167	167	35	1.8k
Pedro Andrade-Sánchez United States	18	1.3k 0.9×	132 0.5×	557 2.2×	149 0.9×	217 1.3×	41	1.7k
Tsutomu Matsui Japan	22	1.6k 1.0×	177 0.7×	249 1.0×	197 1.2×	261 1.6×	61	1.9k
J. R. B. Farias Brazil	27	1.6k 1.0×	288 1.1×	314 1.3×	214 1.3×	329 2.0×	84	1.9k
Peter Lootens Belgium	24	1.1k 0.7×	196 0.8×	630 2.5×	169 1.0×	391 2.3×	87	1.9k
Christian Andreasen Denmark	23	1.6k 1.1×	220 0.8×	267 1.1×	371 2.2×	202 1.2×	113	2.1k
Roland Pieruschka Germany	21	1.5k 1.0×	424 1.6×	331 1.3×	128 0.8×	92 0.6×	45	1.9k
Guillaume Lobet Belgium	24	2.2k 1.5×	544 2.1×	236 0.9×	152 0.9×	407 2.4×	56	2.8k
Anjali S. Iyer‐Pascuzzi United States	27	2.3k 1.5×	501 1.9×	159 0.6×	136 0.8×	121 0.7×	51	2.6k
Steven J. Shirtliffe Canada	26	1.5k 1.0×	287 1.1×	222 0.9×	590 3.5×	205 1.2×	107	1.8k
Larry M. York United States	20	2.0k 1.3×	174 0.7×	214 0.9×	478 2.9×	478 2.9×	47	2.4k

Countries citing papers authored by Jonathan A. Atkinson

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan A. Atkinson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan A. Atkinson. 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 Jonathan A. Atkinson. The network helps show where Jonathan A. Atkinson may publish in the future.

Co-authorship network of co-authors of Jonathan A. Atkinson

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan A. Atkinson. A scholar is included among the top collaborators of Jonathan A. Atkinson 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 Jonathan A. Atkinson. Jonathan A. Atkinson 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

Atkinson, Jonathan A., et al.. (2025). The Rapid Anatomics Tool (RAT): A low-cost root anatomical phenotyping platform reveals changes in root anatomy along the root axis. Plant Phenomics. 8(1). 100150–100150.

Wells, Darren M., et al.. (2025). High-fidelity wheat plant reconstruction using 3D Gaussian splatting and neural radiance fields. GigaScience. 14. 4 indexed citations

Banda, Jason, Shraboni Ghosh, Eshan Sharma, et al.. (2025). Elucidating tissue and subcellular specificity of the entire SUMO network reveals how stress responses are fine-tuned in a eukaryote. Science Advances. 11(35). eadw9153–eadw9153.

Tsang, Ian, Eric S. Ober, Stephen Rawsthorne, et al.. (2024). A novel root hair mutant, srh1, affects root hair elongation and reactive oxygen species levels in wheat. Frontiers in Plant Science. 15. 1490502–1490502. 2 indexed citations

Tsang, Ian, Jonathan A. Atkinson, Stephen Rawsthorne, James Cockram, & Fiona Leigh. (2024). Root hairs: an underexplored target for sustainable cereal crop production. Journal of Experimental Botany. 75(18). 5484–5500. 6 indexed citations

Flis, Paulina, Britta M. C. Kümpers, Levi Yant, et al.. (2023). Loss of ancestral function in duckweed roots is accompanied by progressive anatomical reduction and a re-distribution of nutrient transporters. Current Biology. 33(9). 1795–1802.e4. 21 indexed citations

Zhou, Hu, Brian S. Atkinson, Jonathan A. Atkinson, et al.. (2023). Soil structure has a greater effect on the rooting of wheat (Triticum aestivum L.) than nitrogen fertilisation rate or genotype. Rhizosphere. 27. 100770–100770. 4 indexed citations

Griffiths, Marcus, Nathan Mellor, Craig J. Sturrock, et al.. (2022). X‐ray CT reveals 4D root system development and lateral root responses to nitrate in soil. SHILAP Revista de lepidopterología. 5(1). 15 indexed citations

Griffiths, Marcus, Jonathan A. Atkinson, Laura‐Jayne Gardiner, et al.. (2022). Identification of QTL and underlying genes for root system architecture associated with nitrate nutrition in hexaploid wheat. Journal of Integrative Agriculture. 21(4). 917–932. 7 indexed citations

10.

George, Paul B. L., Joy D. Van Nostrand, Jonathan A. Atkinson, et al.. (2021). Shifts in Soil Structure, Biological, and Functional Diversity Under Long-Term Carbon Deprivation. Frontiers in Microbiology. 12. 735022–735022. 11 indexed citations

11.

Sun, Jinjing, Maria V. Yamburenko, Charles Hodgens, et al.. (2020). The HK5 and HK6 cytokinin receptors mediate diverse developmental pathways in rice. Development. 147(20). 31 indexed citations

12.

Yasrab, Robail, Jonathan A. Atkinson, Darren M. Wells, et al.. (2019). RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures. GigaScience. 8(11). 90 indexed citations

13.

Mohammed, Umar, Robert S. Caine, Jonathan A. Atkinson, et al.. (2019). Rice plants overexpressing OsEPF1 show reduced stomatal density and increased root cortical aerenchyma formation. Scientific Reports. 9(1). 5584–5584. 64 indexed citations

14.

McAusland, Lorna, Jonathan A. Atkinson, Tracy Lawson, & Erik H. Murchie. (2019). High throughput procedure utilising chlorophyll fluorescence imaging to phenotype dynamic photosynthesis and photoprotection in leaves under controlled gaseous conditions. Plant Methods. 15(1). 109–109. 59 indexed citations

15.

Atkinson, Jonathan A., Michael P. Pound, Malcolm J. Bennett, & Darren M. Wells. (2018). Uncovering the hidden half of plants using new advances in root phenotyping. Current Opinion in Biotechnology. 55. 1–8. 241 indexed citations breakdown →

16.

Atkinson, Jonathan A., et al.. (2017). Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large-scale genetic studies. GigaScience. 6(10). 1–7. 16 indexed citations

17.

Pound, Michael P., Jonathan A. Atkinson, Alexandra J. Townsend, et al.. (2017). Deep machine learning provides state-of-the-art performance in image-based plant phenotyping. GigaScience. 6(10). 1–10. 246 indexed citations

18.

Atkinson, Jonathan A. & Darren M. Wells. (2017). An Updated Protocol for High Throughput Plant Tissue Sectioning. Frontiers in Plant Science. 8. 1721–1721. 35 indexed citations

19.

Atkinson, Jonathan A., Luzie U. Wingen, Marcus Griffiths, et al.. (2015). Phenotyping pipeline reveals major seedling root growth QTL in hexaploid wheat. Journal of Experimental Botany. 66(8). 2283–2292. 166 indexed citations

20.

Ooms, G., Jonathan A. Atkinson, M.E. Bossen, & R. A. Leigh. (1986). TL-DNA from Agrobacterium rhizogenes plasmid pRi1855 reduces the osmotic pressure in transformed plants grown in vitro. Planta. 168(1). 106–112. 13 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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