Frederic Béen

3.9k total citations · 1 hit paper
59 papers, 1.7k citations indexed

About

Frederic Béen is a scholar working on Pollution, Toxicology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Frederic Béen has authored 59 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pollution, 20 papers in Toxicology and 14 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Frederic Béen's work include Forensic Toxicology and Drug Analysis (20 papers), Pharmaceutical and Antibiotic Environmental Impacts (14 papers) and Toxic Organic Pollutants Impact (9 papers). Frederic Béen is often cited by papers focused on Forensic Toxicology and Drug Analysis (20 papers), Pharmaceutical and Antibiotic Environmental Impacts (14 papers) and Toxic Organic Pollutants Impact (9 papers). Frederic Béen collaborates with scholars based in Netherlands, Belgium and Switzerland. Frederic Béen's co-authors include Pierre Esseiva, Adrian Covaci, Olivier Delémont, Gertjan Medema, Susan Petterson, Leo Heijnen, Alexander L.N. van Nuijs, Foon Yin Lai, Christoph Ort and Michiel Bastiaensen and has published in prestigious journals such as Nature Medicine, Environmental Science & Technology and Analytical Chemistry.

In The Last Decade

Frederic Béen

56 papers receiving 1.7k citations

Hit Papers

Occurrence, Fate, and Related Health Risks of PFAS in Raw... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frederic Béen Netherlands 24 492 472 464 338 270 59 1.7k
Richard Bade Australia 27 863 1.8× 458 1.0× 283 0.6× 342 1.0× 464 1.7× 50 2.2k
Nikolaos I. Rousis Italy 20 563 1.1× 354 0.8× 319 0.7× 241 0.7× 124 0.5× 32 1.2k
Jose Antonio Baz‐Lomba Norway 21 463 0.9× 275 0.6× 246 0.5× 192 0.6× 269 1.0× 37 1.1k
Erik Emke Netherlands 26 1.2k 2.4× 527 1.1× 308 0.7× 320 0.9× 663 2.5× 53 2.3k
Peng Du China 29 772 1.6× 742 1.6× 141 0.3× 216 0.6× 440 1.6× 89 2.4k
Jianfa Gao Australia 21 451 0.9× 349 0.7× 262 0.6× 188 0.6× 121 0.4× 35 1.0k
Emma Gracia‐Lor Spain 28 1.5k 3.1× 720 1.5× 297 0.6× 370 1.1× 326 1.2× 47 2.7k
Ivan Senta Croatia 26 1.6k 3.2× 643 1.4× 174 0.4× 300 0.9× 310 1.1× 35 2.3k
Erika Castrignanò United Kingdom 22 511 1.0× 216 0.5× 176 0.4× 201 0.6× 414 1.5× 33 1.4k
Philippe G. Jorens Belgium 25 900 1.8× 713 1.5× 165 0.4× 149 0.4× 405 1.5× 43 2.2k

Countries citing papers authored by Frederic Béen

Since Specialization
Citations

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

Fields of papers citing papers by Frederic Béen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frederic Béen

This figure shows the co-authorship network connecting the top 25 collaborators of Frederic Béen. A scholar is included among the top collaborators of Frederic Béen 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 Frederic Béen. Frederic Béen 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.
Houthuijs, Kas J., Martin Brits, Martin J. M. van Velzen, et al.. (2025). Improved multivariate quantification of plastic particles in human blood using non-targeted pyrolysis GC-MS. Journal of Hazardous Materials. 489. 137584–137584. 9 indexed citations
2.
Kruve, Anneli, et al.. (2025). Machine Learning-based Classification for the Prioritization of Potentially Hazardous Chemicals with Structural Alerts in Nontarget Screening. Environmental Science & Technology. 59(10). 5056–5065. 3 indexed citations
3.
Lamoree, M.H., et al.. (2025). Health impacts of microplastic and nanoplastic exposure. Nature Medicine. 31(9). 2873–2887. 7 indexed citations
4.
Burgard, Daniel A., Marina Celia Campos‐Mañas, Félix Hernández, et al.. (2024). A key factor in monitoring cannabis consumption trends through wastewater analysis: Partitioning of THC COOH between the liquid and solid phase of influent wastewater. Water Research. 267. 122462–122462. 3 indexed citations
5.
Brits, Martin, et al.. (2024). Quantitation of polystyrene by pyrolysis-GC-MS: The impact of polymer standards on micro and nanoplastic analysis. Polymer Testing. 137. 108511–108511. 11 indexed citations
6.
Salgueiro‐González, Noelia, Frederic Béen, Lubertus Bijlsma, et al.. (2024). Influent wastewater analysis to investigate emerging trends of new psychoactive substances use in Europe. Water Research. 254. 121390–121390. 17 indexed citations
7.
Kasprzyk‐Hordern, Barbara, Frederic Béen, Lubertus Bijlsma, et al.. (2023). Wastewater-based epidemiology for the assessment of population exposure to chemicals: The need for integration with human biomonitoring for global One Health actions. Journal of Hazardous Materials. 450. 131009–131009. 15 indexed citations
8.
Vughs, Dennis, et al.. (2023). Predicting the Diagnostic Information of Tandem Mass Spectra of Environmentally Relevant Compounds Using Machine Learning. Analytical Chemistry. 95(42). 15810–15817. 5 indexed citations
9.
Keizers, Peter H. J., Frederic Béen, Jeroen Meijer, et al.. (2023). Identifying antimicrobials and their metabolites in wastewater and surface water with effect-directed analysis. Chemosphere. 320. 138093–138093. 9 indexed citations
10.
Béen, Frederic, Zoran Vojinović, Dragan Savić, et al.. (2023). Machine Learning for Detecting Virus Infection Hotspots Via Wastewater‐Based Epidemiology: The Case of SARS‐CoV‐2 RNA. GeoHealth. 7(10). e2023GH000866–e2023GH000866. 8 indexed citations
11.
Laak, Thomas L. ter, Erik Emke, Annemieke Benschop, Ton Nabben, & Frederic Béen. (2022). Triangulating Amsterdam’s illicit stimulant use trends by wastewater analysis and recreational drug use monitoring. Forensic Science International. 340. 111449–111449. 7 indexed citations
12.
Béen, Frederic, Anneli Kruve, Dennis Vughs, et al.. (2021). Risk-based prioritization of suspects detected in riverine water using complementary chromatographic techniques. Water Research. 204. 117612–117612. 23 indexed citations
13.
Béen, Frederic, Tessa E. Pronk, Jochem Louisse, et al.. (2021). Development of a framework to derive effect-based trigger values to interpret CALUX data for drinking water quality. Water Research. 193. 116859–116859. 28 indexed citations
14.
Morelato, Marie, Lisa Benaglia, Frederic Béen, et al.. (2019). The use of wastewater analysis in forensic intelligence: drug consumption comparison between Sydney and different European cities. Forensic Sciences Research. 4(2). 141–151. 21 indexed citations
15.
Bastiaensen, Michiel, Govindan Malarvannan, Frederic Béen, et al.. (2019). Metabolites of phosphate flame retardants and alternative plasticizers in urine from intensive care patients. Chemosphere. 233. 590–596. 26 indexed citations
16.
González‐Mariño, Iria, Jose Antonio Baz‐Lomba, ‪Nikiforos Alygizakis, et al.. (2019). Spatio-temporal assessment of illicit drug use at large scale: evidence from seven years of international wastewater monitoring. Addiction. 3 indexed citations
17.
Bastiaensen, Michiel, Fuchao Xu, Frederic Béen, Nele Van den Eede, & Adrian Covaci. (2018). Simultaneous determination of 14 urinary biomarkers of exposure to organophosphate flame retardants and plasticizers by LC-MS/MS. Analytical and Bioanalytical Chemistry. 410(30). 7871–7880. 57 indexed citations
18.
Béen, Frederic, et al.. (2017). Imitations et Contrefaçons de Médicaments : la Mesure de la Couleur comme un Outil de Renseignement Forensique. IRIS. 52–61. 1 indexed citations
19.
Ort, Christoph, Caleb J. Banta‐Green, Frederic Béen, et al.. (2013). Sewage Analyses as an Early Detection System for Diseases and Indicator of Various Public Health Aspects with a Focus on Illicit Drugs. eCite Digital Repository (University of Tasmania). 1 indexed citations
20.
Béen, Frederic, Yves Roggo, Klara Dégardin, Pierre Esseiva, & Pierre Margot. (2011). Profiling of counterfeit medicines by vibrational spectroscopy. Forensic Science International. 211(1-3). 83–100. 59 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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