Marie Mardal

849 total citations
31 papers, 668 citations indexed

About

Marie Mardal is a scholar working on Molecular Biology, Toxicology and Spectroscopy. According to data from OpenAlex, Marie Mardal has authored 31 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Toxicology and 12 papers in Spectroscopy. Recurrent topics in Marie Mardal's work include Metabolomics and Mass Spectrometry Studies (17 papers), Forensic Toxicology and Drug Analysis (17 papers) and Analytical Chemistry and Chromatography (9 papers). Marie Mardal is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (17 papers), Forensic Toxicology and Drug Analysis (17 papers) and Analytical Chemistry and Chromatography (9 papers). Marie Mardal collaborates with scholars based in Denmark, Norway and Germany. Marie Mardal's co-authors include Kristían Línnet, Petur Weihe Dalsgaard, Christian Brinch Mollerup, Markus R. Meyer, Carolina Noble, Sys Stybe Johansen, Νikolaos S. Τhomaidis, Niels Bjerre Holm, Leon Barron and Mette Findal Andreasen and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Marie Mardal

30 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marie Mardal Denmark 16 384 275 224 134 99 31 668
Yan Shi China 18 334 0.9× 267 1.0× 175 0.8× 113 0.8× 73 0.7× 76 796
Michael Poetzsch Switzerland 13 269 0.7× 221 0.8× 217 1.0× 82 0.6× 76 0.8× 20 592
Jin Young Kim South Korea 16 342 0.9× 134 0.5× 168 0.8× 81 0.6× 129 1.3× 53 681
Moon Kyo In South Korea 18 411 1.1× 141 0.5× 197 0.9× 99 0.7× 160 1.6× 47 752
Karine M. Clauwaert Belgium 19 468 1.2× 179 0.7× 363 1.6× 151 1.1× 124 1.3× 25 830
Akihiro Nakamoto Japan 13 242 0.6× 139 0.5× 318 1.4× 78 0.6× 86 0.9× 28 709
Kjell A. Mortier Belgium 12 174 0.5× 150 0.5× 235 1.0× 53 0.4× 96 1.0× 14 588
Sara Odoardi Italy 19 684 1.8× 192 0.7× 367 1.6× 227 1.7× 155 1.6× 37 1.1k
Sebastian Broecker Germany 13 471 1.2× 211 0.8× 200 0.9× 129 1.0× 265 2.7× 18 702
Sieglinde Herre Germany 11 361 0.9× 229 0.8× 200 0.9× 67 0.5× 72 0.7× 22 707

Countries citing papers authored by Marie Mardal

Since Specialization
Citations

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

Fields of papers citing papers by Marie Mardal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Mardal

This figure shows the co-authorship network connecting the top 25 collaborators of Marie Mardal. A scholar is included among the top collaborators of Marie Mardal 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 Marie Mardal. Marie Mardal 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.
Rodda, Luke N., Kayla N. Ellefsen, Marie Mardal, et al.. (2025). From promise to practice: why HRMS has yet to fully revolutionize forensic toxicology. Journal of Analytical Toxicology. 49(7). 514–515. 1 indexed citations
3.
Grijseels, Sietske, et al.. (2024). Validation of two LC HRMS methods for large-scale untargeted metabolomics of serum samples: Strategy to establish method fitness-for-purpose. Journal of Chromatography A. 1732. 465230–465230. 2 indexed citations
4.
Fabregat‐Safont, David, Fernando Martínez‐Garciá, Marie Mardal, et al.. (2022). In-depth comparison of the metabolic and pharmacokinetic behaviour of the structurally related synthetic cannabinoids AMB-FUBINACA and AMB-CHMICA in rats. Communications Biology. 5(1). 161–161. 6 indexed citations
5.
Rasmussen, Brian Schou, Petur Weihe Dalsgaard, Christian Brinch Mollerup, et al.. (2022). A New Strategy for Efficient Retrospective Data Analyses for Designer Benzodiazepines in Large LC-HRMS Datasets. Frontiers in Chemistry. 10. 868532–868532. 8 indexed citations
6.
Mardal, Marie, Ole‐Martin Fuskevåg, & Petur Weihe Dalsgaard. (2021). Comprehensive UHPLC-HR-MSE screening workflow optimized for use in routine laboratory medicine: Four workflows in one analytical method. Journal of Pharmaceutical and Biomedical Analysis. 196. 113936–113936. 12 indexed citations
7.
Mardal, Marie, et al.. (2020). How to perform spectrum-based LC-HR-MS screening for more than 1,000 NPS with HighResNPS consensus fragment ions. PLoS ONE. 15(11). e0242224–e0242224. 21 indexed citations
8.
Mardal, Marie, Niels Bjerre Holm, Sys Stybe Johansen, et al.. (2019). Ketamine analogues: Comparative toxicokinetic in vitro–in vivo extrapolation and quantification of 2-fluorodeschloroketamine in forensic blood and hair samples. Journal of Pharmaceutical and Biomedical Analysis. 180. 113049–113049. 25 indexed citations
9.
Fabregat‐Safont, David, Marie Mardal, Carolina Noble, et al.. (2019). Comprehensive investigation on synthetic cannabinoids: Metabolic behavior and potency testing, using 5F‐APP‐PICA and AMB‐FUBINACA as model compounds. Drug Testing and Analysis. 11(9). 1358–1368. 27 indexed citations
10.
Aalizadeh, Reza, et al.. (2019). Wide-scope target and suspect screening methodologies to investigate the occurrence of new psychoactive substances in influent wastewater from Athens. The Science of The Total Environment. 685. 1058–1065. 51 indexed citations
11.
Mardal, Marie, Mette Findal Andreasen, Christian Brinch Mollerup, et al.. (2019). HighResNPS.com: An Online Crowd-Sourced HR-MS Database for Suspect and Non-targeted Screening of New Psychoactive Substances. Journal of Analytical Toxicology. 43(7). 520–527. 77 indexed citations
12.
Noble, Carolina, Niels Bjerre Holm, Marie Mardal, & Kristían Línnet. (2018). Bromo-dragonfly, a psychoactive benzodifuran, is resistant to hepatic metabolism and potently inhibits monoamine oxidase A. Toxicology Letters. 295. 397–407. 13 indexed citations
13.
Mardal, Marie, Sys Stybe Johansen, Rasmus Telving, et al.. (2018). Postmortem analysis of three methoxyacetylfentanyl-related deaths in Denmark and in vitro metabolite profiling in pooled human hepatocytes. Forensic Science International. 290. 310–317. 27 indexed citations
15.
Mardal, Marie, Sys Stybe Johansen, Ragnar Thomsen, & Kristían Línnet. (2017). Advantages of analyzing postmortem brain samples in routine forensic drug screening—Case series of three non-natural deaths tested positive for lysergic acid diethylamide (LSD). Forensic Science International. 278. e14–e18. 7 indexed citations
16.
Castrignanò, Erika, Marie Mardal, Axel Rydevik, et al.. (2017). A new approach towards biomarker selection in estimation of human exposure to chiral chemicals: a case study of mephedrone. Scientific Reports. 7(1). 13009–13009. 23 indexed citations
17.
19.
Noble, Carolina, Marie Mardal, Niels Bjerre Holm, Sys Stybe Johansen, & Kristían Línnet. (2016). In vitro studies on flubromazolam metabolism and detection of its metabolites in authentic forensic samples. Drug Testing and Analysis. 9(8). 1182–1191. 36 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026