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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Development of a single retention time prediction model integrating multiple liquid chromatography systems: Application to new psychoactive substances
Daniel Pasin, Christian Brinch Mollerup, Brian Schou Rasmussen, et al.
Analytica Chimica Acta (2021) Vol. 1184, pp. 339035-339035
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Towards a harmonized identification scoring system in LC-HRMS/MS based non-target screening (NTS) of emerging contaminants
‪Nikiforos Alygizakis, François Lestremau, Pablo Gago-Ferrero, et al.
TrAC Trends in Analytical Chemistry (2023) Vol. 159, pp. 116944-116944
Open Access | Times Cited: 63
RT-Transformer: retention time prediction for metabolite annotation to assist in metabolite identification
Jun Xue, Bingyi Wang, Hongchao Ji, et al.
Bioinformatics (2024) Vol. 40, Iss. 3
Open Access | Times Cited: 17
Workflow to facilitate the detection of new psychoactive substances and drugs of abuse in influent urban wastewater
Richard Bade, Denice van Herwerden, Nikolaos I. Rousis, et al.
Journal of Hazardous Materials (2024) Vol. 469, pp. 133955-133955
Open Access | Times Cited: 10
Unravelling the occurrence of trace contaminants in surface waters using semi-quantitative suspected non-target screening analyses
Mulatu Yohannes Nanusha, Emil Egede Fro̷kjær, Jaanus Liigand, et al.
Environmental Pollution (2022) Vol. 315, pp. 120346-120346
Open Access | Times Cited: 29
Retention Time Prediction with Message-Passing Neural Networks
Sergey Osipenko, Е. Н. Николаев, Yury Kostyukevich
Separations (2022) Vol. 9, Iss. 10, pp. 291-291
Open Access | Times Cited: 29
Identification of new psychoactive substances and their metabolites using non-targeted detection with high-resolution mass spectrometry through diagnosing fragment ions/neutral loss analysis
José Manuel Matey, Félix Zapata, Luis Manuel Menéndez-Quintanal, et al.
Talanta (2023) Vol. 265, pp. 124816-124816
Closed Access | Times Cited: 20
Efficient Validation Strategies in Environmental Analytical Chemistry: A Focus on Organic Micropollutants in Water Samples
Félix Hernández, David Fabregat‐Safont, Marina Celia Campos‐Mañas, et al.
Annual Review of Analytical Chemistry (2023) Vol. 16, Iss. 1, pp. 401-428
Open Access | Times Cited: 17
Developments in high-resolution mass spectrometric analyses of new psychoactive substances
Joshua Klingberg, Bethany Keen, Adam Cawley, et al.
Archives of Toxicology (2022) Vol. 96, Iss. 4, pp. 949-967
Open Access | Times Cited: 23
Festivals following the easing of COVID-19 restrictions: Prevalence of new psychoactive substances and illicit drugs
Nikolaos I. Rousis, Richard Bade, I. Romero, et al.
Environment International (2023) Vol. 178, pp. 108075-108075
Open Access | Times Cited: 14
Forensic drug screening by liquid chromatography hyphenated with high-resolution mass spectrometry (LC-HRMS)
Pia Johansson Heinsvig, Carolina Noble, Petur Weihe Dalsgaard, et al.
TrAC Trends in Analytical Chemistry (2023) Vol. 162, pp. 117023-117023
Open Access | Times Cited: 13
Mathematical model-assisted HPLC-MS/MS analysis on global, pseudo-targeted ceramide profiling and quantitation in serum
Fei Ge, Jin Jian, Na Li, et al.
Analytica Chimica Acta (2025), pp. 344099-344099
Closed Access
Cross-column density functional theory–based quantitative structure-retention relationship model development powered by machine learning
Sargol Mazraedoost, Petar Žuvela, Szymon Ulenberg, et al.
Analytical and Bioanalytical Chemistry (2024) Vol. 416, Iss. 12, pp. 2951-2968
Closed Access | Times Cited: 3
Retrospective screening of new psychoactive substances (NPS) in post mortem samples from 2014 to 2021
Per Ole M. Gundersen, Daniel Pasin, Lars Slørdal, et al.
Forensic Science International (2024) Vol. 361, pp. 112131-112131
Open Access | Times Cited: 3
Identification of Emerging Novel Psychoactive Substances by Retrospective Analysis of Population-Scale Mass Spectrometry Data Sets
Michael A. Skinnider, Sandrine A. M. Mérette, Daniel Pasin, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 47, pp. 17300-17310
Closed Access | Times Cited: 7
A method for the sensitive targeted screening of synthetic cannabinoids and opioids in whole blood by LC–QTOF-MS with simultaneous suspect screening using HighResNPS.com
Stephen Trobbiani, Peter Stockham, Chris Kostakis
Journal of Analytical Toxicology (2023) Vol. 47, Iss. 9, pp. 807-817
Closed Access | Times Cited: 4
Identification of clobromazolam in Australian emergency department intoxications using data-independent high-resolution mass spectrometry and the HighResNPS.com database
Jared W. Castle, Rebekka Syrjanen, Matthew Di Rago, et al.
Journal of Analytical Toxicology (2024) Vol. 48, Iss. 5, pp. 273-280
Closed Access | Times Cited: 1
Target and suspect screening of psychoactive substances in seizures and oral fluid exploiting retention time prediction and LC-MS/MS analysis
Gaia Di Francesco, Flaminia Vincenti, Camilla Montesano, et al.
Analytica Chimica Acta (2024) Vol. 1303, pp. 342529-342529
Closed Access | Times Cited: 1
A cluster of 25B-NBOH poisonings following exposure to powder sold as lysergic acid diethylamide (LSD)
Sean T. Ivory, Joe‐Anthony Rotella, Jennifer Schumann, et al.
Clinical Toxicology (2022) Vol. 60, Iss. 8, pp. 966-969
Closed Access | Times Cited: 7
Insights into predicting small molecule retention times in liquid chromatography using deep learning
Yuting Liu, Akiyasu C. Yoshizawa, Yiwei Ling, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 1
RT-Ensemble Pred: A tool for retention time prediction of metabolites on different LC-MS systems
Biying Chen, Chenxi Wang, Zhifei Fu, et al.
Journal of Chromatography A (2023) Vol. 1707, pp. 464304-464304
Open Access | Times Cited: 3
RT-Tranformer: Retention Time Prediction for Metabolite Annotation to Assist in Metabolite Identification
Jun Xue, Bingyi Wang, Weihua Li
(2023)
Open Access | Times Cited: 2
RepoRT: A comprehensive repository for small molecule retention times
Fleming Kretschmer, Eva-Maria Harrieder, Martin Hoffmann, et al.
(2023)
Open Access | Times Cited: 2
RepoRT: A comprehensive repository for small molecule retention times
Fleming Kretschmer, Eva-Maria Harrieder, Martin Hoffmann, et al.
(2023)
Open Access | Times Cited: 2
A supervised machine-learning approach for the efficient development of a multi method (LC-MS) for a large number of drugs and subsets thereof: focus on oral antitumor agents
Niklas Kehl, Arne Gessner, Renke Maas, et al.
Clinical Chemistry and Laboratory Medicine (CCLM) (2023) Vol. 62, Iss. 2, pp. 293-302
Closed Access | Times Cited: 2
Suspect and nontarget screening of pesticides and their transformation products in agricultural products using liquid chromatography–high-resolution mass spectrometry
Tiantian Chen, Yujie Zhang, Yuting Wang, et al.
Talanta (2024) Vol. 283, pp. 127154-127154
Closed Access
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