Nele Samyn

4.6k total citations
111 papers, 3.4k citations indexed

About

Nele Samyn is a scholar working on Toxicology, Pharmacology and Clinical Psychology. According to data from OpenAlex, Nele Samyn has authored 111 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Toxicology, 25 papers in Pharmacology and 25 papers in Clinical Psychology. Recurrent topics in Nele Samyn's work include Forensic Toxicology and Drug Analysis (84 papers), Psychedelics and Drug Studies (25 papers) and Cannabis and Cannabinoid Research (23 papers). Nele Samyn is often cited by papers focused on Forensic Toxicology and Drug Analysis (84 papers), Psychedelics and Drug Studies (25 papers) and Cannabis and Cannabinoid Research (23 papers). Nele Samyn collaborates with scholars based in Belgium, Netherlands and France. Nele Samyn's co-authors include Gert De Boeck, María del Mar Ramírez Fernández, Sarah M.R. Wille, Michelle Wood, Vincent Di Fazio, Marleen Laloup, Pascal Kintz, Alain Verstraete, Johannes G. Ramaekers and Karolien De Wael and has published in prestigious journals such as Analytical Chemistry, Electrochimica Acta and Journal of Chromatography A.

In The Last Decade

Nele Samyn

107 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nele Samyn Belgium 39 2.0k 763 762 595 569 111 3.4k
Marta Concheiro United States 37 1.9k 1.0× 649 0.9× 693 0.9× 631 1.1× 511 0.9× 106 3.4k
Hitoshi Tsuchihashi Japan 34 1.9k 0.9× 373 0.5× 1.2k 1.5× 902 1.5× 811 1.4× 170 3.6k
Vincent Cirimele France 38 2.1k 1.0× 462 0.6× 664 0.9× 568 1.0× 546 1.0× 143 3.9k
Manuel López‐Rivadulla Spain 33 1.3k 0.6× 485 0.6× 720 0.9× 560 0.9× 277 0.5× 123 3.0k
Munehiro Katagi Japan 32 1.6k 0.8× 295 0.4× 789 1.0× 642 1.1× 768 1.3× 118 2.7k
Robert Kronstrand Sweden 39 3.0k 1.5× 997 1.3× 513 0.7× 777 1.3× 1.0k 1.8× 135 4.4k
Eugénia Gallardo Portugal 32 785 0.4× 415 0.5× 583 0.8× 766 1.3× 330 0.6× 168 3.3k
Manuela Pellegrini Italy 32 1.0k 0.5× 671 0.9× 409 0.5× 393 0.7× 330 0.6× 109 2.6k
Elisabeth Leere Øiestad Norway 29 1.3k 0.6× 485 0.6× 530 0.7× 257 0.4× 281 0.5× 95 2.5k
Yuko Iwata Japan 34 1.2k 0.6× 347 0.5× 785 1.0× 1.7k 2.9× 451 0.8× 208 4.5k

Countries citing papers authored by Nele Samyn

Since Specialization
Citations

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

Fields of papers citing papers by Nele Samyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nele Samyn

This figure shows the co-authorship network connecting the top 25 collaborators of Nele Samyn. A scholar is included among the top collaborators of Nele Samyn 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 Nele Samyn. Nele Samyn 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.
Durme, Filip Van, et al.. (2023). Analytical strategies for herbal Cannabis samples in forensic applications: A comprehensive review. VUBIR (Vrije Universiteit Brussel). 5(3). 2 indexed citations
2.
Fernández, María del Mar Ramírez, Sarah M.R. Wille, Michel Yegles, & Nele Samyn. (2022). Evaluation of decontamination procedures for drug testing in undamaged versus damaged hair. Drug Testing and Analysis. 14(6). 1155–1165. 2 indexed citations
3.
Fernández, María del Mar Ramírez, Sarah M.R. Wille, & Nele Samyn. (2022). Incorporation of doxylamine and N‐doxylamine‐oxide in human hair and the impact of a permanent oxidative hair dye. Drug Testing and Analysis. 15(9). 933–940. 1 indexed citations
4.
5.
6.
Jong, Mats de, et al.. (2020). Electrochemical analysis of speedball-like polydrug samples. The Analyst. 145(18). 6091–6096. 2 indexed citations
7.
Durme, Filip Van, et al.. (2020). Evaluation of data preprocessings for the comparison of GC–MS chemical profiles of seized cannabis samples. Forensic Science International. 310. 110228–110228. 23 indexed citations
8.
Fernández, María del Mar Ramírez, et al.. (2019). Development of an UPLC–MS/MS method for the analysis of 16 synthetic opioids in segmented hair, and evaluation of the polydrug history in fentanyl analogue users. Forensic Science International. 307. 110137–110137. 29 indexed citations
9.
Fernández, María del Mar Ramírez, Sarah M.R. Wille, Vincent Di Fazio, & Nele Samyn. (2019). Influence of bleaching and thermal straightening on endogenous GHB concentrations in hair: An in vitro experiment. Forensic Science International. 297. 277–283. 17 indexed citations
10.
Hantson, Philippe, Vincent Di Fazio, María del Mar Ramírez Fernández, et al.. (2014). Susac-Like Syndrome in a Chronic Cocaine Abuser: Could Levamisole Play a Role?. Journal of Medical Toxicology. 11(1). 124–128. 22 indexed citations
11.
Fernández, María del Mar Ramírez & Nele Samyn. (2011). Ultra-Performance Liquid Chromatography-Tandem Mass Spectrometry Method for the Analysis of Amphetamines in Plasma. Journal of Analytical Toxicology. 35(8). 577–582. 9 indexed citations
12.
Fernández, María del Mar Ramírez, Sarah M.R. Wille, Nele Samyn, et al.. (2009). On-line solid-phase extraction combined with liquid chromatography–tandem mass spectrometry for high throughput analysis of 11-nor-Δ9-tetrahydrocannabinol-9-carboxylic acid in urine. Journal of Chromatography B. 877(22). 2153–2157. 27 indexed citations
13.
Wood, M., et al.. (2008). Simultaneous analysis of THC and its metabolites in blood using liquid chromatography–tandem mass spectrometry. Journal of Chromatography B. 875(2). 465–470. 58 indexed citations
14.
Laloup, Marleen, Gaëlle Tilman, Viviane Maes, et al.. (2005). Validation of an ELISA-based screening assay for the detection of amphetamine, MDMA and MDA in blood and oral fluid. Forensic Science International. 153(1). 29–37. 34 indexed citations
15.
Brookhuis, Karel, Dick de Waard, & Nele Samyn. (2004). Effects of MDMA (ecstasy), and multiple drugs use on (simulated) driving performance and traffic safety. Psychopharmacology. 173(3-4). 440–445. 63 indexed citations
16.
Samyn, Nele, et al.. (2002). FIRST EXPERIENCES WITH THE NEW LAW ON DUID IN BELGIUM: FIELD RESULTS AND PLASMA LEVELS OF ILLICIT DRUGS. 2002. 205–211. 1 indexed citations
17.
Samyn, Nele, et al.. (2002). FIRST EXPERIENCES WITH THE NEW LAW ON DUID IN BELGIUM: ALCOHOL AND MEDICINES IN DRUG NEGATIVE CASES. 2002. 197–203. 1 indexed citations
18.
Samyn, Nele & Alain Verstraete. (2000). On-site testing for drugs of abuse in urine, saliva and sweat.. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
19.
Mura, P., et al.. (2000). Applications of drugwipe in alternative specimens. 2000. 1 indexed citations
20.
Férard, G, Nele Samyn, J. Demeester, et al.. (1994). Transferability of Lipase Titrimetric Assays: Deductions from an Interlaboratory Study. Clinical Chemistry and Laboratory Medicine (CCLM). 32(10). 773–7. 8 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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