Darren M. Wells

8.2k total citations · 2 hit papers
70 papers, 4.2k citations indexed

About

Darren M. Wells is a scholar working on Plant Science, Molecular Biology and Environmental Engineering. According to data from OpenAlex, Darren M. Wells has authored 70 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Plant Science, 18 papers in Molecular Biology and 13 papers in Environmental Engineering. Recurrent topics in Darren M. Wells's work include Plant nutrient uptake and metabolism (33 papers), Plant Molecular Biology Research (26 papers) and Smart Agriculture and AI (13 papers). Darren M. Wells is often cited by papers focused on Plant nutrient uptake and metabolism (33 papers), Plant Molecular Biology Research (26 papers) and Smart Agriculture and AI (13 papers). Darren M. Wells collaborates with scholars based in United Kingdom, France and United States. Darren M. Wells's co-authors include Malcolm J. Bennett, Jonathan A. Atkinson, Michael P. Pound, Tony Pridmore, Andrew P. French, Tony Miller, Mathilde Orsel, S. J. Smith, Xiaorong Fan and Ute Voß and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Darren M. Wells

68 papers receiving 4.1k citations

Hit Papers

align trajectories sort by overperformance

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.

A novel sensor to map auxin response and distribution at high spatio-temporal resolution

2012 580 citations Darren M. Wells, Antoine Larrieu et al. profile →
Uncovering the hidden half of plants using new advances in root phenotyping

2018 241 citations Jonathan A. Atkinson, Michael P. Pound et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Darren M. Wells United Kingdom	32	3.6k	1.3k	419	228	205	70	4.2k
Fabio Fiorani Germany	33	4.0k 1.1×	1.3k 1.0×	622 1.5×	219 1.0×	432 2.1×	73	4.8k
Matthew A. Jenks United States	38	5.3k 1.5×	2.0k 1.5×	487 1.2×	102 0.4×	161 0.8×	98	6.0k
Surya Kant Australia	27	2.7k 0.8×	744 0.6×	261 0.6×	117 0.5×	334 1.6×	80	3.1k
Muthukumar Bagavathiannan United States	32	2.7k 0.7×	499 0.4×	371 0.9×	106 0.5×	563 2.7×	137	3.3k
Harkamal Walia United States	37	4.2k 1.2×	1.3k 1.0×	307 0.7×	112 0.5×	275 1.3×	91	4.9k
Guillaume Lobet Belgium	24	2.2k 0.6×	544 0.4×	236 0.6×	214 0.9×	152 0.7×	56	2.8k
Kerstin Nagel Germany	32	2.1k 0.6×	491 0.4×	496 1.2×	119 0.5×	381 1.9×	63	3.1k
Carl‐Otto Ottosen Denmark	38	3.9k 1.1×	965 0.8×	234 0.6×	88 0.4×	258 1.3×	134	4.4k
Xavier Draye Belgium	36	4.4k 1.2×	857 0.7×	177 0.4×	187 0.8×	382 1.9×	105	5.0k
Stijn Dhondt Belgium	29	3.0k 0.8×	1.7k 1.4×	383 0.9×	74 0.3×	96 0.5×	48	3.5k

Countries citing papers authored by Darren M. Wells

Since Specialization

Citations

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

Fields of papers citing papers by Darren M. Wells

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darren M. Wells. 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 Darren M. Wells. The network helps show where Darren M. Wells may publish in the future.

Co-authorship network of co-authors of Darren M. Wells

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

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

Dini‐Andreote, Francisco, Darren M. Wells, Jonathan A. Atkinson, et al.. (2025). Microbial drivers of root plasticity. New Phytologist. 248(1). 52–67. 1 indexed citations

Ferguson, John N., Lorna McAusland, Christine Tranchant‐Dubreuil, et al.. (2023). Chlorophyll fluorescence-based high-throughput phenotyping facilitates the genetic dissection of photosynthetic heat tolerance in African ( Oryza glaberrima ) and Asian ( Oryza sativa ) rice. Journal of Experimental Botany. 74(17). 5181–5197. 12 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

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

Mellor, Nathan, Ute Voß, Anthony Bishopp, et al.. (2022). Systems approaches reveal that ABCB and PIN proteins mediate co-dependent auxin efflux. The Plant Cell. 34(6). 2309–2327. 35 indexed citations

Pascut, Flavius C., Valentin Couvreur, Daniela Dietrich, et al.. (2021). Non-invasive hydrodynamic imaging in plant roots at cellular resolution. Nature Communications. 12(1). 4682–4682. 29 indexed citations

Mellor, Nathan, et al.. (2020). Auxin fluxes through plasmodesmata modify root-tip auxin distribution. Development. 147(6). 69 indexed citations

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

10.

Pound, Michael P., et al.. (2019). Active Vision and Surface Reconstruction for 3D Plant Shoot Modelling. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(6). 1907–1917. 32 indexed citations

11.

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

12.

Pound, Michael P., et al.. (2018). Plant Phenotyping: An Active Vision Cell for Three-Dimensional Plant Shoot Reconstruction. PLANT PHYSIOLOGY. 178(2). 524–534. 43 indexed citations

13.

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

14.

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

15.

Pound, Michael P., et al.. (2015). Three-dimensional reconstruction of plant shoots from multiple images using an active vision system. Repository@Nottingham (University of Nottingham). 1 indexed citations

16.

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

17.

Voß, Ute, Antoine Larrieu, & Darren M. Wells. (2013). From jellyfish to biosensors: the use of fluorescent proteins in plants. The International Journal of Developmental Biology. 57(6-7-8). 525–533. 23 indexed citations

18.

Dyer, Emma, et al.. (2007). In vitro motility studies of HCM and DCM mutations in cardiac muscle actin. Biophysical Journal. 1 indexed citations

19.

Miller, Tony, Xiaorong Fan, Mathilde Orsel, S. J. Smith, & Darren M. Wells. (2007). Nitrate transport and signalling. Journal of Experimental Botany. 58(9). 2297–2306. 390 indexed citations

20.

Miller, Tony, Darren M. Wells, J. Braven, et al.. (2003). Novel sensors for measuring soil nitrogen, water availability and strength. Rothamsted Repository (Rothamsted Repository). 2 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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