George W. Bassel

9.6k total citations · 5 hit papers
70 papers, 5.7k citations indexed

About

George W. Bassel is a scholar working on Plant Science, Molecular Biology and Mechanical Engineering. According to data from OpenAlex, George W. Bassel has authored 70 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Plant Science, 41 papers in Molecular Biology and 5 papers in Mechanical Engineering. Recurrent topics in George W. Bassel's work include Plant Molecular Biology Research (42 papers), Seed Germination and Physiology (22 papers) and Plant tissue culture and regeneration (19 papers). George W. Bassel is often cited by papers focused on Plant Molecular Biology Research (42 papers), Seed Germination and Physiology (22 papers) and Plant tissue culture and regeneration (19 papers). George W. Bassel collaborates with scholars based in United Kingdom, United States and Canada. George W. Bassel's co-authors include J. Derek Bewley, W. E. Finch-Savage, Hiroyuki Nonogaki, Michael J. Holdsworth, Daniel J. Gibbs, Nicholas J. Provart, Robert T. Mullen, Frederica L. Theodoulou, Julia Bailey‐Serres and Takeshi Fukao and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

George W. Bassel

69 papers receiving 5.6k citations

Hit Papers

Seed vigour and crop establishment: extending performance... 2010 2026 2015 2020 2015 2010 2011 2012 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George W. Bassel United Kingdom 36 4.8k 2.6k 242 228 180 70 5.7k
Elison B. Blancaflor United States 47 6.0k 1.2× 3.2k 1.2× 211 0.9× 306 1.3× 199 1.1× 108 6.9k
Yang Zhao China 42 6.7k 1.4× 3.4k 1.3× 249 1.0× 115 0.5× 73 0.4× 105 7.8k
Edgar P. Spalding United States 52 6.8k 1.4× 3.5k 1.3× 166 0.7× 129 0.6× 221 1.2× 96 7.6k
Taishi Umezawa Japan 31 8.4k 1.8× 3.9k 1.5× 213 0.9× 117 0.5× 72 0.4× 57 9.2k
Takuya Yoshida Japan 33 5.9k 1.2× 3.3k 1.3× 207 0.9× 106 0.5× 72 0.4× 67 7.3k
Girdhar K. Pandey India 43 6.0k 1.3× 2.8k 1.1× 164 0.7× 99 0.4× 71 0.4× 109 6.7k
Sean R. Cutler United States 42 9.2k 1.9× 5.0k 1.9× 298 1.2× 155 0.7× 104 0.6× 80 10.8k
C. Robertson McClung United States 57 7.0k 1.5× 4.9k 1.9× 289 1.2× 168 0.7× 298 1.7× 109 8.4k
Hannes Kollist Estonia 46 6.0k 1.3× 2.4k 0.9× 483 2.0× 89 0.4× 190 1.1× 82 6.8k
Fuminori Takahashi Japan 33 5.5k 1.2× 3.0k 1.2× 167 0.7× 95 0.4× 70 0.4× 63 6.5k

Countries citing papers authored by George W. Bassel

Since Specialization
Citations

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

Fields of papers citing papers by George W. Bassel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George W. Bassel

This figure shows the co-authorship network connecting the top 25 collaborators of George W. Bassel. A scholar is included among the top collaborators of George W. Bassel 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 George W. Bassel. George W. Bassel 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.
Pandey, Shashank K., Jay P. Maurya, Bibek Aryal, et al.. (2024). A regulatory module mediating temperature control of cell-cell communication facilitates tree bud dormancy release. The EMBO Journal. 43(23). 5793–5812. 7 indexed citations
2.
Liew, Lim Chee, Yue You, Marina Oliva, et al.. (2024). Establishment of single-cell transcriptional states during seed germination. Nature Plants. 10(9). 1418–1434. 20 indexed citations
3.
Fischer, Sabine, George W. Bassel, & Philip Kollmannsberger. (2023). Tissues as networks of cells: towards generative rules of complex organ development. Journal of The Royal Society Interface. 20(204). 20230115–20230115. 4 indexed citations
4.
Dorone, Yanniv, Steven Boeynaems, Eduardo Flores, et al.. (2021). A prion-like protein regulator of seed germination undergoes hydration-dependent phase separation. Cell. 184(16). 4284–4298.e27. 126 indexed citations
5.
Graeff, Moritz, Jos R. Wendrich, Julien Dorier, et al.. (2021). A single-cell morpho-transcriptomic map of brassinosteroid action in the Arabidopsis root. Molecular Plant. 14(12). 1985–1999. 50 indexed citations
6.
Gibbs, Daniel J., et al.. (2021). Network analysis of Arabidopsis mitochondrial dynamics reveals a resolved tradeoff between physical distribution and social connectivity. Cell Systems. 12(5). 419–431.e4. 20 indexed citations
7.
Benjamins, René, et al.. (2020). A Molecular Signal Integration Network Underpinning Arabidopsis Seed Germination. Current Biology. 30(19). 3703–3712.e4. 67 indexed citations
8.
Hartman, Sjon, Zeguang Liu, Hans van Veen, et al.. (2019). Ethylene-mediated nitric oxide depletion pre-adapts plants to hypoxia stress. Nature Communications. 10(1). 4020–4020. 234 indexed citations breakdown →
9.
Bassel, George W.. (2019). Multicellular Systems Biology: Quantifying Cellular Patterning and Function in Plant Organs Using Network Science. Molecular Plant. 12(6). 731–742. 11 indexed citations
10.
Duran‐Nebreda, Salva & George W. Bassel. (2018). Fluorescein Transport Assay to Assess Bulk Flow of Molecules Through the Hypocotyl in Arabidopsis thaliana. BIO-PROTOCOL. 8(7). e2791–e2791. 4 indexed citations
11.
Yan, Dawei, et al.. (2017). Temperature variability is integrated by a spatially embedded decision-making center to break dormancy in Arabidopsis seeds. Proceedings of the National Academy of Sciences. 114(25). 6629–6634. 77 indexed citations
12.
Bassel, George W., et al.. (2017). Quantitative analysis of the 3D cell shape changes driving soybean germination. Journal of Experimental Botany. 68(7). 1531–1537. 7 indexed citations
13.
Saidi, Younousse, Laura A. Moody, Daniel R. McLeod, et al.. (2016). The decision to germinate is regulated by divergent molecular networks in spores and seeds. New Phytologist. 211(3). 952–966. 52 indexed citations
14.
Stamm, Petra, et al.. (2016). The Transcription Factor ATHB5 Affects GA-Mediated Plasticity in Hypocotyl Cell Growth during Seed Germination. PLANT PHYSIOLOGY. 173(1). 907–917. 38 indexed citations
15.
Montenegro‐Johnson, Thomas D., Petra Stamm, Soeren Strauss, et al.. (2015). Digital Single-Cell Analysis of Plant Organ Development Using 3DCellAtlas. The Plant Cell. 27(4). 1018–1033. 49 indexed citations
16.
Bassel, George W. & Richard S. Smith. (2015). Quantifying morphogenesis in plants in 4D. Current Opinion in Plant Biology. 29. 87–94. 37 indexed citations
17.
Gibbs, Daniel J., Seung Cho Lee, Nurulhikma Md Isa, et al.. (2011). Homeostatic response to hypoxia is regulated by the N-end rule pathway in plants. Nature. 479(7373). 415–418. 564 indexed citations breakdown →
18.
Bassel, George W., Michael J. Holdsworth, & Nicholas J. Provart. (2011). Seed Bioinformatics. Methods in molecular biology. 773. 403–419. 1 indexed citations
19.
Bassel, George W., Robert T. Mullen, & J. Derek Bewley. (2006). ABI3 expression ceases following, but not during, germination of tomato and Arabidopsis seeds. Journal of Experimental Botany. 57(6). 1291–1297. 39 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026