Samuel E. Wuest

2.6k total citations
24 papers, 1.9k citations indexed

About

Samuel E. Wuest is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Samuel E. Wuest has authored 24 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 15 papers in Molecular Biology and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Samuel E. Wuest's work include Plant Reproductive Biology (13 papers), Plant Molecular Biology Research (12 papers) and Photosynthetic Processes and Mechanisms (4 papers). Samuel E. Wuest is often cited by papers focused on Plant Reproductive Biology (13 papers), Plant Molecular Biology Research (12 papers) and Photosynthetic Processes and Mechanisms (4 papers). Samuel E. Wuest collaborates with scholars based in Switzerland, Ireland and United Kingdom. Samuel E. Wuest's co-authors include Ueli Grossniklaus, Frank Wellmer, Pascal A. Niklaus, Sharon A. Kessler, Hiroko Shimosato-Asano, Gwyneth Ingram, Nana F. Keinath, Ralph Panstruga, Anja Schmidt and Kitty Vijverberg and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Samuel E. Wuest

21 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel E. Wuest Switzerland 15 1.7k 1.5k 265 92 78 24 1.9k
Maria C. Albani Germany 18 1.5k 0.9× 1.2k 0.8× 228 0.9× 173 1.9× 37 0.5× 26 1.7k
Renhou Wang United States 11 1.4k 0.8× 1.0k 0.7× 129 0.5× 83 0.9× 37 0.5× 13 1.6k
Koen Geuten Belgium 25 1.1k 0.6× 1.2k 0.8× 586 2.2× 149 1.6× 41 0.5× 50 1.7k
Daphné Autran France 16 1.4k 0.8× 982 0.6× 225 0.8× 106 1.2× 72 0.9× 25 1.6k
Z. Jeffrey Chen United States 7 1.1k 0.7× 689 0.5× 176 0.7× 341 3.7× 49 0.6× 7 1.4k
Reyes Benlloch Spain 16 1.5k 0.9× 1.2k 0.8× 129 0.5× 80 0.9× 64 0.8× 21 1.7k
Catherine C. Rameau France 10 1.7k 1.0× 684 0.4× 660 2.5× 121 1.3× 75 1.0× 13 1.9k
Paula E. Ralph United States 12 1.7k 1.0× 1.3k 0.9× 530 2.0× 397 4.3× 44 0.6× 14 2.1k
Jeremy E. Coate United States 19 963 0.6× 721 0.5× 169 0.6× 209 2.3× 29 0.4× 25 1.2k
Ryan A. Rapp United States 14 1.5k 0.9× 828 0.5× 208 0.8× 305 3.3× 35 0.4× 17 1.7k

Countries citing papers authored by Samuel E. Wuest

Since Specialization
Citations

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

Fields of papers citing papers by Samuel E. Wuest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel E. Wuest. 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 Samuel E. Wuest. The network helps show where Samuel E. Wuest may publish in the future.

Co-authorship network of co-authors of Samuel E. Wuest

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel E. Wuest. A scholar is included among the top collaborators of Samuel E. Wuest 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 Samuel E. Wuest. Samuel E. Wuest 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.
2.
Sato, Yasuhiro & Samuel E. Wuest. (2024). The Genetics of Plant–Plant Interactions and Their Cascading Effects on Agroecosystems—from Model Plants to Applications. Plant and Cell Physiology. 66(4). 477–489.
3.
Niklaus, Pascal A., et al.. (2023). Ecological principles to guide the development of crop variety mixtures. Journal of Plant Ecology. 16(6). 18 indexed citations
4.
Wuest, Samuel E., Nuno D. Pires, Ueli Grossniklaus, et al.. (2023). Single-gene resolution of diversity-driven overyielding in plant genotype mixtures. Nature Communications. 14(1). 3379–3379. 9 indexed citations
5.
6.
Helleu, Quentin, et al.. (2023). Indirect genetic effects are shaped by demographic history and ecology in Arabidopsis thaliana. Nature Ecology & Evolution. 7(11). 1878–1891. 5 indexed citations
7.
Wuest, Samuel E., Nuno D. Pires, Shan Luo, et al.. (2022). Increasing plant group productivity through latent genetic variation for cooperation. PLoS Biology. 20(11). e3001842–e3001842. 12 indexed citations
8.
Wuest, Samuel E., et al.. (2021). Ecological and evolutionary approaches to improving crop variety mixtures. Nature Ecology & Evolution. 5(8). 1068–1077. 81 indexed citations
9.
Wuest, Samuel E. & Pascal A. Niklaus. (2018). A plant biodiversity effect resolved to a single chromosomal region. Nature Ecology & Evolution. 2(12). 1933–1939. 32 indexed citations
10.
Wuest, Samuel E., et al.. (2016). Seed Production Affects Maternal Growth and Senescence in Arabidopsis. PLANT PHYSIOLOGY. 171(1). 392–404. 35 indexed citations
11.
Ó’Maoiléidigh, Diarmuid S., Bennett Thomson, Samuel E. Wuest, et al.. (2015). Gene network analysis of Arabidopsis thaliana flower development through dynamic gene perturbations. The Plant Journal. 83(2). 344–358. 28 indexed citations
12.
Wuest, Samuel E. & Ueli Grossniklaus. (2013). Laser-Assisted Microdissection Applied to Floral Tissues. Methods in molecular biology. 1110. 329–344. 8 indexed citations
13.
Wuest, Samuel E., Diarmuid S. Ó’Maoiléidigh, Kamila Kwaśniewska, et al.. (2012). Molecular basis for the specification of floral organs by APETALA3 and PISTILLATA. Proceedings of the National Academy of Sciences. 109(33). 13452–13457. 194 indexed citations
14.
Wuest, Samuel E., et al.. (2012). Computational analysis and characterization of UCE-like elements (ULEs) in plant genomes. Genome Research. 22(12). 2455–2466. 23 indexed citations
15.
Wuest, Samuel E., Marc W. Schmid, & Ueli Grossniklaus. (2012). Cell-specific expression profiling of rare cell types as exemplified by its impact on our understanding of female gametophyte development. Current Opinion in Plant Biology. 16(1). 41–49. 8 indexed citations
16.
Schmidt, Anja, et al.. (2011). Transcriptome Analysis of the Arabidopsis Megaspore Mother Cell Uncovers the Importance of RNA Helicases for Plant Germline Development. PLoS Biology. 9(9). e1001155–e1001155. 110 indexed citations
17.
Kessler, Sharon A., Hiroko Shimosato-Asano, Nana F. Keinath, et al.. (2010). Conserved Molecular Components for Pollen Tube Reception and Fungal Invasion. Science. 330(6006). 968–971. 330 indexed citations
18.
Kaufmann, Kerstin, Frank Wellmer, José M. Muiño, et al.. (2010). Orchestration of Floral Initiation by APETALA1. Science. 328(5974). 85–89. 422 indexed citations
19.
Wuest, Samuel E., Kitty Vijverberg, Anja Schmidt, et al.. (2010). Arabidopsis Female Gametophyte Gene Expression Map Reveals Similarities between Plant and Animal Gametes. Current Biology. 20(6). 506–512. 243 indexed citations
20.
Johnston, Amal J., Patrick Meier, Jacqueline Gheyselinck, et al.. (2007). Genetic subtraction profiling identifies genes essential for Arabidopsisreproduction and reveals interaction between the female gametophyte and the maternal sporophyte. Genome biology. 8(10). R204–R204. 111 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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