Alex Widmer

11.5k total citations
162 papers, 7.6k citations indexed

About

Alex Widmer is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Plant Science. According to data from OpenAlex, Alex Widmer has authored 162 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Ecology, Evolution, Behavior and Systematics, 77 papers in Genetics and 72 papers in Plant Science. Recurrent topics in Alex Widmer's work include Plant and animal studies (81 papers), Genetic diversity and population structure (59 papers) and Plant Reproductive Biology (33 papers). Alex Widmer is often cited by papers focused on Plant and animal studies (81 papers), Genetic diversity and population structure (59 papers) and Plant Reproductive Biology (33 papers). Alex Widmer collaborates with scholars based in Switzerland, Italy and France. Alex Widmer's co-authors include Salvatore Cozzolino, Christian Lexer, M. Soliva, Loren H. Rieseberg, Matthias Baltisberger, A. Michele Arntz, John M. Burke, Aldo Musacchio, Giovanni Scopece and L. Suter and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Alex Widmer

161 papers receiving 7.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alex Widmer Switzerland 50 4.0k 3.8k 3.0k 2.8k 1.4k 162 7.6k
Quentin Cronk Canada 50 3.6k 0.9× 3.4k 0.9× 1.8k 0.6× 3.7k 1.3× 1.1k 0.8× 182 7.8k
John H. Willis United States 42 3.0k 0.7× 3.1k 0.8× 4.2k 1.4× 2.3k 0.8× 1.1k 0.8× 62 7.5k
Peter Tiffin United States 51 2.3k 0.6× 3.8k 1.0× 2.3k 0.8× 1.6k 0.6× 1.5k 1.1× 123 7.2k
Christian Lexer Switzerland 49 3.6k 0.9× 3.1k 0.8× 4.4k 1.5× 2.3k 0.8× 1.6k 1.2× 126 8.3k
Brian C. Husband Canada 50 6.0k 1.5× 5.8k 1.5× 3.0k 1.0× 3.4k 1.2× 2.5k 1.8× 121 10.2k
Pablo Vargas Spain 53 4.3k 1.1× 3.9k 1.0× 2.3k 0.8× 2.1k 0.8× 1.6k 1.1× 203 7.4k
Barbara A. Schaal United States 51 3.8k 0.9× 5.5k 1.4× 3.9k 1.3× 2.8k 1.0× 1.4k 1.0× 151 9.6k
Peter Schönswetter Austria 44 3.8k 1.0× 3.6k 0.9× 3.9k 1.3× 2.1k 0.8× 1.3k 0.9× 140 7.6k
Kermit Ritland Canada 37 2.5k 0.6× 2.3k 0.6× 3.3k 1.1× 2.0k 0.7× 1.7k 1.2× 82 6.9k
Xavier Vekemans France 46 4.4k 1.1× 4.3k 1.1× 6.0k 2.0× 2.9k 1.1× 1.8k 1.3× 112 10.3k

Countries citing papers authored by Alex Widmer

Since Specialization
Citations

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

Fields of papers citing papers by Alex Widmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Widmer

This figure shows the co-authorship network connecting the top 25 collaborators of Alex Widmer. A scholar is included among the top collaborators of Alex Widmer 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 Widmer. Alex Widmer 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.
Fior, Simone, J. de Jonge, Stefan Zoller, et al.. (2025). Ancient alleles drive contemporary climate adaptation in an alpine plant. Science. 390(6768). 59–64.
2.
Vries, Jorad de, et al.. (2024). Unravelling drivers of local adaptation through evolutionary functional–structural plant modelling. New Phytologist. 244(3). 1101–1113. 3 indexed citations
3.
Buckley, James J., Alex Widmer, Mark C. Mescher, & Consuelo Μ. De Moraes. (2023). Experimental warming increases the vulnerability of high‐elevation plant populations to a specialist herbivore. Functional Ecology. 37(6). 1536–1552. 7 indexed citations
4.
Fior, Simone, et al.. (2022). A target capture approach for phylogenomic analyses at multiple evolutionary timescales in rosewoods ( Dalbergia spp.) and the legume family (Fabaceae). Molecular Ecology Resources. 22(8). 3087–3105. 5 indexed citations
5.
Widmer, Alex, et al.. (2021). Identifying loci under selection via explicit demographic models. Molecular Ecology Resources. 21(8). 2719–2737. 9 indexed citations
6.
Xu, Shuqing, Jessica Stapley, Klaus‐J. Appenroth, et al.. (2019). Low genetic variation is associated with low mutation rate in the giant duckweed. Nature Communications. 10(1). 1243–1243. 63 indexed citations
7.
Persson, Åsa, et al.. (2018). Environmental policy integration : Taking stock of policy practice in different contexts. Utrecht University Repository (Utrecht University). 6 indexed citations
8.
Karrenberg, Sophie, et al.. (2018). Ecological divergence plays an important role in strong but complex reproductive isolation in campions (Silene)*. Evolution. 73(2). 245–261. 30 indexed citations
9.
Westergaard, Kristine Bakke, Niklaus Zemp, Léo P. Bruederle, et al.. (2018). Population genomic evidence for plant glacial survival in Scandinavia. Molecular Ecology. 28(4). 818–832. 32 indexed citations
10.
Paris, Margot, et al.. (2016). Genomic Imprinting in the Endosperm Is Systematically Perturbed in Abortive Hybrid Tomato Seeds. Molecular Biology and Evolution. 33(11). 2935–2946. 49 indexed citations
11.
Rellstab, Christian, Martin C. Fischer, Stefan Zoller, et al.. (2016). Local adaptation (mostly) remains local: reassessing environmental associations of climate-related candidate SNPs in Arabidopsis halleri. Heredity. 118(2). 193–201. 41 indexed citations
12.
Blavet, Nicolas, Aline Muyle, Jos Käfer, et al.. (2015). Identifying new sex-linked genes through BAC sequencing in the dioecious plant Silene latifolia. BMC Genomics. 16(1). 546–546. 20 indexed citations
13.
Baltisberger, Matthias & Alex Widmer. (2011). Chromosome numbers in IAPT/IOPB chromosome data 11. Taxon. 60(4). 1220–1220. 2 indexed citations
14.
Stoll, Peter, et al.. (2011). Searching for gene flow from cultivated to wild strawberries in Central Europe. Annals of Botany. 107(4). 699–707. 4 indexed citations
15.
Waelti, M., Joëlle K. Mühlemann, Alex Widmer, & Florian P. Schiestl. (2007). Floral odour and reproductive isolation in two species of Silene. Journal of Evolutionary Biology. 21(1). 111–121. 117 indexed citations
16.
Kejnovský, Eduard, Roman Hobza, Zdeněk Kubát, et al.. (2006). High intrachromosomal similarity of retrotransposon long terminal repeats: Evidence for homogenization by gene conversion on plant sex chromosomes?. Gene. 390(1-2). 92–97. 25 indexed citations
17.
Lexer, Christian, et al.. (2006). A genetic linkage map ofSilene vulgarisbased on AFLP markers. Genome. 49(4). 320–327. 27 indexed citations
18.
Baltisberger, Matthias & Alex Widmer. (2005). Cytological investigations on some Ranunculus-species from Crete. Candollea. 60(2). 335–344. 5 indexed citations
19.
Soliva, M., Alexander Kocyan, & Alex Widmer. (2001). Molecular Phylogenetics of the Sexually Deceptive Orchid Genus Ophrys (Orchidaceae) Based on Nuclear and Chloroplast DNA Sequences. Molecular Phylogenetics and Evolution. 20(1). 78–88. 93 indexed citations
20.
Shykoff, Jacqui A. & Alex Widmer. (1996). Parasites and carotenoid-based signal intensity: How general should the relationship be?. Die Naturwissenschaften. 83(3). 113–121. 32 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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