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:

Field-use device for the electrochemical quantification of carbamazepine levels in a background of human saliva
Lael Wentland, Jacob Cook, Jade Minzlaff, et al.
Journal of Applied Electrochemistry (2022) Vol. 53, Iss. 3, pp. 523-534
Closed Access | Times Cited: 6

Showing 6 citing articles:

Progress on Electrochemical Sensing of Pharmaceutical Drugs in Complex Biofluids
Elain Fu, Khadijeh Khederlou, Noël Lefevre, et al.
Chemosensors (2023) Vol. 11, Iss. 8, pp. 467-467
Open Access | Times Cited: 15

Solid-Phase microextraction on Self-Driven microfluidic chip using capillary micropump and microvalves for saliva electrochemical analysis
Yun Zheng, Xuanhao Jia, Huanhuan Shi, et al.
Microchemical Journal (2024) Vol. 206, pp. 111579-111579
Closed Access | Times Cited: 3

Nanomaterial-based Electrochemical Sensors for Multiplex Medicinal Applications
Surinya Traipop, Whitchuta Jesadabundit, Wisarut Khamcharoen, et al.
Current Topics in Medicinal Chemistry (2024) Vol. 24, Iss. 11, pp. 986-1009
Closed Access | Times Cited: 2

Reagent storage and delivery on integrated microfluidic chips for point-of-care diagnostics
Manoochehr Rasekh, S. Harrison, Silvia Schobesberger, et al.
Biomedical Microdevices (2024) Vol. 26, Iss. 3
Closed Access | Times Cited: 2

Electrochemical signal quantification in saliva: investigation of signal analysis methods
Noël Lefevre, Khadijeh Khederlou, Stephen A. Ramsey, et al.
Journal of Applied Electrochemistry (2024)
Closed Access | Times Cited: 1

Evaluation of multi-feature machine-learning models for analyzing electrochemical signals for drug monitoring
Sangam Man Buddhacharya, Noël Lefevre, Elain Fu, et al.
(2024), pp. 1-9
Closed Access

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