Alex Boonman

1.2k total citations · 1 hit paper
8 papers, 826 citations indexed

About

Alex Boonman is a scholar working on Plant Science, Molecular Biology and Ecology. According to data from OpenAlex, Alex Boonman has authored 8 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 5 papers in Molecular Biology and 2 papers in Ecology. Recurrent topics in Alex Boonman's work include Plant Molecular Biology Research (4 papers), Photosynthetic Processes and Mechanisms (4 papers) and Plant Stress Responses and Tolerance (4 papers). Alex Boonman is often cited by papers focused on Plant Molecular Biology Research (4 papers), Photosynthetic Processes and Mechanisms (4 papers) and Plant Stress Responses and Tolerance (4 papers). Alex Boonman collaborates with scholars based in Netherlands, Germany and Belgium. Alex Boonman's co-authors include Elizabeth H. McLean, Eric J. W. Visser, Takeshi Fukao, Carlos Alonso‐Blanco, Pierdomenico Perata, Leónie Bentsink, Julia Bailey‐Serres, Francesco Licausi, Thijs L. Pons and Laurentius A. C. J. Voesenek and has published in prestigious journals such as PLANT PHYSIOLOGY, The American Naturalist and Journal of Experimental Botany.

In The Last Decade

Alex Boonman

8 papers receiving 803 citations

Hit Papers

Abramoff MD, Magalhaes PJ, Ram SJ. 2004. Image Processing... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alex Boonman Netherlands 8 397 240 119 104 54 8 826
Maria Mulisch Germany 15 461 1.2× 686 2.9× 180 1.5× 48 0.5× 66 1.2× 39 1.2k
D. F. Bray Canada 15 165 0.4× 175 0.7× 134 1.1× 72 0.7× 90 1.7× 35 861
S. Fujikawa Japan 16 312 0.8× 308 1.3× 26 0.2× 90 0.9× 56 1.0× 28 738
Bruno B. Moulia France 16 424 1.1× 163 0.7× 69 0.6× 102 1.0× 34 0.6× 17 689
Christine Desel Germany 20 538 1.4× 482 2.0× 53 0.4× 29 0.3× 62 1.1× 35 1.2k
Ran Zhao China 16 295 0.7× 299 1.2× 83 0.7× 57 0.5× 31 0.6× 76 1.0k
Zhichuang Lü China 17 177 0.4× 362 1.5× 235 2.0× 36 0.3× 48 0.9× 84 1.0k
Vincenzo Cavalieri Italy 19 185 0.5× 411 1.7× 39 0.3× 31 0.3× 47 0.9× 52 806
Jeremy Bird United Kingdom 13 101 0.3× 235 1.0× 81 0.7× 35 0.3× 129 2.4× 29 758
Megumi Kimura Japan 21 172 0.4× 357 1.5× 119 1.0× 107 1.0× 136 2.5× 101 1.4k

Countries citing papers authored by Alex Boonman

Since Specialization
Citations

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

Fields of papers citing papers by Alex Boonman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex Boonman. 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 Alex Boonman. The network helps show where Alex Boonman may publish in the future.

Co-authorship network of co-authors of Alex Boonman

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

All Works

8 of 8 papers shown
1.
Sasidharan, Rashmi, Angelika Mustroph, Alex Boonman, et al.. (2013). Root Transcript Profiling of Two Rorippa Species Reveals Gene Clusters Associated with Extreme Submergence Tolerance. PLANT PHYSIOLOGY. 163(3). 1277–1292. 58 indexed citations
2.
Akman, Melis, Elizabeth H. McLean, Alex Boonman, et al.. (2012). Wait or escape? Contrasting submergence tolerance strategies of Rorippa amphibia, Rorippa sylvestris and their hybrid. Annals of Botany. 109(7). 1263–1276. 64 indexed citations
3.
McLean, Elizabeth H., Alex Boonman, Eric J. W. Visser, et al.. (2012). Abramoff MD, Magalhaes PJ, Ram SJ. 2004. Image Processing with ImageJ. Biophotonics. 457 indexed citations breakdown →
4.
Boonman, Alex, Els Prinsen, Laurentius A. C. J. Voesenek, & Thijs L. Pons. (2009). Redundant roles of photoreceptors and cytokinins in regulating photosynthetic acclimation to canopy density. Journal of Experimental Botany. 60(4). 1179–1190. 38 indexed citations
5.
Boonman, Alex & Thijs L. Pons. (2007). Canopy Light Gradient Perception by Cytokinin. Plant Signaling & Behavior. 2(6). 489–491. 12 indexed citations
6.
Boonman, Alex, Els Prinsen, Frank Gilmer, et al.. (2007). Cytokinin Import Rate as a Signal for Photosynthetic Acclimation to Canopy Light Gradients. PLANT PHYSIOLOGY. 143(4). 1841–1852. 82 indexed citations
7.
Boonman, Alex, Niels P. R. Anten, Tom Dueck, et al.. (2006). Functional Significance of Shade‐Induced Leaf Senescence in Dense Canopies: An Experimental Test Using Transgenic Tobacco. The American Naturalist. 168(5). 597–607. 46 indexed citations
8.
Schuurmans, J., et al.. (2003). Members of the aquaporin family in the developing pea seed coat include representatives of the PIP, TIP, and NIP subfamilies. Plant Molecular Biology. 53(5). 655–667. 69 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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