Ron Wehrens

9.5k total citations · 2 hit papers
137 papers, 7.0k citations indexed

About

Ron Wehrens is a scholar working on Molecular Biology, Analytical Chemistry and Artificial Intelligence. According to data from OpenAlex, Ron Wehrens has authored 137 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 28 papers in Analytical Chemistry and 25 papers in Artificial Intelligence. Recurrent topics in Ron Wehrens's work include Metabolomics and Mass Spectrometry Studies (28 papers), Spectroscopy and Chemometric Analyses (26 papers) and Analytical Chemistry and Chromatography (13 papers). Ron Wehrens is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (28 papers), Spectroscopy and Chemometric Analyses (26 papers) and Analytical Chemistry and Chromatography (13 papers). Ron Wehrens collaborates with scholars based in Netherlands, Italy and United States. Ron Wehrens's co-authors include L.M.C. Buydens, Bjørn‐Helge Mevik, Lammert Kooistra, R.S.E.W. Leuven, Hein Putter, Johannes W. Kruisselbrink, Jos A. Hageman, Pietro Franceschi, L.M.C. Buydens and R. De Gelder and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Ron Wehrens

134 papers receiving 6.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

TheplsPackage: Principal Component and Partial Least Squares Regression inR

2007 1.4k citations Ron Wehrens et al. Journal of Statistical Software profile →
Self- and Super-organizing Maps inR: ThekohonenPackage

2007 492 citations Ron Wehrens, L.M.C. Buydens Journal of Statistical Software profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ron Wehrens Netherlands	41	1.8k	1.3k	1.0k	987	960	137	7.0k
Paul H.C. Eilers Netherlands	54	2.6k 1.4×	1.2k 0.9×	943 0.9×	671 0.7×	818 0.9×	205	13.9k
Zijian Wang China	66	1.6k 0.9×	1.0k 0.8×	780 0.7×	1.6k 1.6×	759 0.8×	645	17.7k
L.M.C. Buydens Netherlands	53	2.4k 1.3×	3.7k 2.8×	655 0.6×	510 0.5×	1.2k 1.3×	214	10.1k
Kim H. Esbensen Denmark	34	1.8k 1.0×	3.8k 2.9×	495 0.5×	632 0.6×	1.6k 1.7×	204	13.0k
Lennart Eriksson Sweden	31	3.8k 2.1×	4.3k 3.4×	1.1k 1.1×	1.2k 1.2×	606 0.6×	101	13.7k
Jianbo Shi China	60	1.5k 0.8×	1.5k 1.2×	918 0.9×	421 0.4×	4.7k 4.9×	310	28.6k
Lynne J. Williams Canada	14	892 0.5×	571 0.4×	348 0.3×	427 0.4×	1.2k 1.2×	24	9.3k
Peter Filzmoser Austria	56	941 0.5×	1.4k 1.1×	596 0.6×	449 0.5×	5.7k 5.9×	256	13.4k
Harald Martens Norway	50	1.7k 0.9×	4.9k 3.8×	408 0.4×	772 0.8×	399 0.4×	155	9.5k
Colin Goodall United States	16	931 0.5×	800 0.6×	400 0.4×	305 0.3×	2.4k 2.5×	34	10.4k

Countries citing papers authored by Ron Wehrens

Since Specialization

Citations

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

Fields of papers citing papers by Ron Wehrens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ron Wehrens

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Boumans, I.J.M.M., et al.. (2025). Exploring individual variation in gestating sows’ feeding patterns: applying self-organising maps to reveal behavioural types. Applied Animal Behaviour Science. 287. 106655–106655.

Wehrens, Ron, et al.. (2023). Determining flower colors from images using artificial intelligence. Euphytica. 220(1). 1 indexed citations

JanssenDuijghuijsen, Lonneke, et al.. (2023). Evaluating Brewers’ Spent Grain Protein Isolate Postprandial Amino Acid Uptake Kinetics: A Randomized, Cross-Over, Double-Blind Controlled Study. Nutrients. 15(14). 3196–3196. 7 indexed citations

Hageman, Jos A., et al.. (2021). LC-MS based plant metabolic profiles of thirteen grassland species grown in diverse neighbourhoods. Scientific Data. 8(1). 52–52. 11 indexed citations

Bonnema, Guusje, Jun Gu Lee, Johan Bucher, et al.. (2019). Glucosinolate variability between turnip organs during development. PLoS ONE. 14(6). e0217862–e0217862. 8 indexed citations

Henquet, Maurice, H. A. Verhoeven, N.C.A. de Ruijter, et al.. (2018). Calcium Imaging of GPCR Activation Using Arrays of Reverse Transfected HEK293 Cells in a Microfluidic System. Sensors. 18(2). 602–602. 3 indexed citations

Giordan, Marco, et al.. (2014). The implication of different pruning methods on apple training systems.. The Journal Agriculture and Forestry. 60(4). 173–179. 3 indexed citations

Gribaudo, Ivana, et al.. (2014). Transcriptome analysis during berry development provides insights into co-regulated and altered gene expression between a seeded wine grape variety and its seedless somatic variant. BMC Genomics. 15(1). 1030–1030. 32 indexed citations

Giordan, Marco & Ron Wehrens. (2013). A comparison of computational approaches for maximum likelihood estimation of the Dirichlet parameters on high dimensionaldata. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 39(1). 109–126. 4 indexed citations

10.

Wehrens, Ron & Pietro Franceschi. (2012). Meta-Statistics for Variable Selection: TheRPackageBioMark. Journal of Statistical Software. 51(10). 15 indexed citations

11.

Wehrens, Ron & Pietro Franceschi. (2012). Meta-Statistics for Variable Selection: The R Package BioMark. SHILAP Revista de lepidopterología. 4 indexed citations

12.

Wehrens, Ron & Pietro Franceschi. (2012). Thresholding for biomarker selection in multivariate data using Higher Criticism. Molecular BioSystems. 8(9). 2339–2346. 8 indexed citations

13.

Wehrens, Ron, et al.. (2012). Statistical methods for improving verification of claims of origin for Italian wines based on stable isotope ratios. Analytica Chimica Acta. 757. 19–25. 28 indexed citations

14.

Bloemberg, Tom G., Hans‐Hermann Wessels, Jolein Gloerich, et al.. (2011). Pinpointing biomarkers in proteomic LC/MS data by moving-window discriminant analysis. Analytica Chimica Acta. 83. 5197–5206. 1 indexed citations

15.

Bontempo, Luana, Federica Camin, Lara Manzocco, et al.. (2011). Traceability along the production chain of Italian tomato products on the basis of stable isotopes and mineral composition. Rapid Communications in Mass Spectrometry. 25(7). 899–909. 35 indexed citations

16.

Haan, Jorn R. de, Ester Piek, René C. van Schaik, et al.. (2010). Integrating gene expression and GO classification for PCA by preclustering. BMC Bioinformatics. 11(1). 158–158. 10 indexed citations

17.

Wehrens, Ron & L.M.C. Buydens. (2007). Self- and Super-organizing Maps in R: The kohonen Package. SHILAP Revista de lepidopterología. 39 indexed citations

18.

Wehrens, Ron, W.J. Melssen, L.M.C. Buydens, & R. De Gelder. (2005). Representing structural databases in a self-organizing map. Acta Crystallographica Section B Structural Science. 61(5). 548–557. 11 indexed citations

19.

Tran, T.N., Ron Wehrens, & L.M.C. Buydens. (2003). Knn density-based clustering for high dimensional multispectral images. 147–151. 7 indexed citations

20.

Reijmers, Theo, et al.. (1999). Using genetic algorithms for the construction of phylogenetic trees: application to G-protein coupled receptor sequences. Biosystems. 49(1). 31–43. 20 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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