Susanne Wiklund

1.7k total citations · 1 hit paper
9 papers, 1.4k citations indexed

About

Susanne Wiklund is a scholar working on Molecular Biology, Analytical Chemistry and Plant Science. According to data from OpenAlex, Susanne Wiklund has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Analytical Chemistry and 4 papers in Plant Science. Recurrent topics in Susanne Wiklund's work include Spectroscopy and Chemometric Analyses (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Polysaccharides and Plant Cell Walls (2 papers). Susanne Wiklund is often cited by papers focused on Spectroscopy and Chemometric Analyses (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Polysaccharides and Plant Cell Walls (2 papers). Susanne Wiklund collaborates with scholars based in Sweden, Netherlands and South Korea. Susanne Wiklund's co-authors include Ulf Edlund, Ewa J. Mellerowicz, Lina Sjöström, John P. Shockcor, Johan Trygg, Erik Johansson, Thomas Möritz, Johan Gottfries, Michael Sjöstróm and Lennart Eriksson and has published in prestigious journals such as Analytical Chemistry, PLANT PHYSIOLOGY and Journal of Agricultural and Food Chemistry.

In The Last Decade

Susanne Wiklund

9 papers receiving 1.4k citations

Hit Papers

Visualization of GC/TOF-MS-Based Metabolomics Data for Id... 2007 2026 2013 2019 2007 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susanne Wiklund Sweden 6 886 275 185 157 150 9 1.4k
Max Bylesjö Sweden 15 1.3k 1.4× 552 2.0× 322 1.7× 250 1.6× 180 1.2× 24 2.3k
Suzanne Smit Netherlands 9 1.0k 1.1× 128 0.5× 295 1.6× 272 1.7× 114 0.8× 9 1.6k
Jonas Gullberg Sweden 8 1.1k 1.3× 253 0.9× 118 0.6× 256 1.6× 88 0.6× 10 1.6k
Aurélie Roux United States 14 1.2k 1.4× 237 0.9× 80 0.4× 138 0.9× 180 1.2× 19 1.9k
Filippos Michopoulos United Kingdom 21 1.4k 1.6× 217 0.8× 128 0.7× 196 1.2× 130 0.9× 33 2.2k
Mark Sanders Netherlands 24 784 0.9× 531 1.9× 146 0.8× 187 1.2× 255 1.7× 49 1.9k
Zhongda Zeng China 23 1.0k 1.2× 173 0.6× 222 1.2× 306 1.9× 202 1.3× 52 1.6k
Renger H. Jellema Netherlands 18 1.1k 1.3× 102 0.4× 144 0.8× 258 1.6× 298 2.0× 22 1.7k
Dan Tang China 28 1.4k 1.6× 226 0.8× 104 0.6× 169 1.1× 108 0.7× 127 2.6k
Haiyu Zhao China 25 994 1.1× 316 1.1× 198 1.1× 60 0.4× 97 0.6× 106 1.9k

Countries citing papers authored by Susanne Wiklund

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Wiklund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne Wiklund

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

All Works

9 of 9 papers shown
2.
Hedenström, Mattias, Susanne Wiklund, Björn Sundberg, & Ulf Edlund. (2008). Visualization and interpretation of OPLS models based on 2D NMR data. Chemometrics and Intelligent Laboratory Systems. 92(2). 110–117. 31 indexed citations
3.
Siedlecka, A., Susanne Wiklund, Fabienne Micheli, et al.. (2007). Pectin methyl esterase inhibits intrusive and symplastic cell growth in developing wood of Populus trees. 105(9). 2 indexed citations
4.
Wiklund, Susanne, Erik Johansson, Lina Sjöström, et al.. (2007). Visualization of GC/TOF-MS-Based Metabolomics Data for Identification of Biochemically Interesting Compounds Using OPLS Class Models. Analytical Chemistry. 80(1). 115–122. 1032 indexed citations breakdown →
5.
Siedlecka, A., Susanne Wiklund, Fabienne Micheli, et al.. (2007). Pectin Methyl Esterase Inhibits Intrusive and Symplastic Cell Growth in Developing Wood Cells ofPopulus . PLANT PHYSIOLOGY. 146(2). 323–324. 115 indexed citations
6.
Wiklund, Susanne. (2007). Spectroscopic data and multivariate analysis : tools to study genetic perturbations in poplar trees. KTH Publication Database DiVA (KTH Royal Institute of Technology). 5 indexed citations
7.
Wiklund, Susanne. (2007). Spectroscopic Data and Multivariate Analysis. 1 indexed citations
8.
Wiklund, Susanne, David Nilsson, Lennart Eriksson, et al.. (2007). A randomization test for PLS component selection. Journal of Chemometrics. 21(10-11). 427–439. 122 indexed citations
9.
Wiklund, Susanne, Henrik Antti, Dan Johnels, et al.. (2005). A new metabonomic strategy for analysing the growth process of the poplar tree. Plant Biotechnology Journal. 3(3). 353–362. 12 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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