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:

LC-HRMS-Based Non-Targeted Metabolomics for the Assessment of Honey Adulteration with Sugar Syrups: A Preliminary Study
Marianna Martinello, Roberto Stella, Alessandra Baggio, et al.
Metabolites (2022) Vol. 12, Iss. 10, pp. 985-985
Open Access | Times Cited: 11

Showing 11 citing articles:

Recent advances in the role of mass spectrometry in the analysis of food: a review
Susan Chinedu Nwachukwu, Great Iruoghene Edo, Agatha Ngukuran Jikah, et al.
Journal of Food Measurement & Characterization (2024) Vol. 18, Iss. 6, pp. 4272-4287
Closed Access | Times Cited: 19

Profiling of Australian Stingless Bee Honey Using Multivariate Data Analysis of High-Performance Thin-Layer Chromatography Fingerprints
Mariana Mello dos Santos, Christina Jacobs, Kevin Vinsen, et al.
Chemosensors (2025) Vol. 13, Iss. 2, pp. 30-30
Open Access

Honey fraud detection based on sugar syrup adulterations by HPLC-UV fingerprinting and chemometrics
Carla Egido, Javier Saurina, Sònia Sentellas, et al.
Food Chemistry (2023) Vol. 436, pp. 137758-137758
Open Access | Times Cited: 16

Honey Authentication: A review of the issues and challenges associated with honey adulteration
Debalina Bose, Padmavati Manchikanti
Food Bioscience (2024) Vol. 61, pp. 105004-105004
Closed Access | Times Cited: 3

Computer vision analysis of sample colors versus quadruple-disk iridium-platinum voltammetric e-tongue for recognition of natural honey adulteration
Szymon Wójcik, Filip Ciepiela, Małgorzata Jakubowska
Measurement (2023) Vol. 209, pp. 112514-112514
Closed Access | Times Cited: 6

A suspect screening strategy with automated data processing tools for the comprehensive detection of emerging chemical hazards in food
Hui Yi Lim, Dingyi Yu, Sheot Harn Chan, et al.
Food Control (2024) Vol. 163, pp. 110538-110538
Closed Access | Times Cited: 1

Straightforward monitoring of honey with foreign diastase by leveraging the differentiation in LC-UV proteome profiles of authentic and fraudulent samples
İsmail Emir Akyıldız, Özge Erdem, Sinem Raday, et al.
Microchemical Journal (2023) Vol. 193, pp. 109039-109039
Closed Access | Times Cited: 4

Chromatography-Based Metabolomics as a Tool in Bioorganic Research of Honey
Marina Kranjac, Piotr Marek Kuś, Saša Prđun, et al.
Metabolites (2024) Vol. 14, Iss. 11, pp. 606-606
Open Access

Detection of Sugar Syrups in Honey Using Untargeted Liquid Chromatography–Mass Spectrometry and Chemometrics
Jule Hansen, Christof Kunert, Kurt-Peter Raezke, et al.
Metabolites (2024) Vol. 14, Iss. 11, pp. 633-633
Open Access

UV-Vis spectralprint-based discrimination and quantification of sugar syrup adulteration in honey using the Successive Projections Algorithm (SPA) for variable selection
Luana Leal de Souza, Dâmaris Naara Chaves Candeias, Edilene Dantas Teles Moreira, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105314-105314
Closed Access

Food fraud: insights from investigating a near-fatal poisoning with global implications
Zhao Cao, Masha Yemets, Sadia Muneem, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1

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