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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:

Analyzing breath samples of hypoglycemic events in type 1 diabetes patients: towards developing an alternative to diabetes alert dogs
Amanda P. Siegel, Ali Daneshkhah, Dana S. Hardin, et al.
Journal of Breath Research (2017) Vol. 11, Iss. 2, pp. 026007-026007
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases
Imogen S Stafford, Melina Kellermann, Enrico Mossotto, et al.
npj Digital Medicine (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 196
Research progress of electronic nose technology in exhaled breath disease analysis
Ying Li, Xiangyang Wei, Yumeng Zhou, et al.
Microsystems & Nanoengineering (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 47
Machine Learning Techniques for Hypoglycemia Prediction: Trends and Challenges
Omer Mujahid, Iván Contreras, Josep Vehı́
Sensors (2021) Vol. 21, Iss. 2, pp. 546-546
Open Access | Times Cited: 72
Artificial Breath Classification Using XGBoost Algorithm for Diabetes Detection
Anna Paleczek, Dominik Grochala, Artur Rydosz
Sensors (2021) Vol. 21, Iss. 12, pp. 4187-4187
Open Access | Times Cited: 63
Detection of Volatile Organic Compounds (VOCs) in Urine via Gas Chromatography-Mass Spectrometry QTOF to Differentiate Between Localized and Metastatic Models of Breast Cancer
Mark Woollam, Meghana Teli, Paula Angarita-Rivera, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 61
Review of the algorithms used in exhaled breath analysis for the detection of diabetes
Anna Paleczek, Artur Rydosz
Journal of Breath Research (2022) Vol. 16, Iss. 2, pp. 026003-026003
Open Access | Times Cited: 29
Hypoglycaemia detection and prediction techniques: A systematic review on the latest developments
Omar Diouri, Monika Cigler, Martina Vettoretti, et al.
Diabetes/Metabolism Research and Reviews (2021) Vol. 37, Iss. 7
Open Access | Times Cited: 38
Exhaled VOCs can discriminate subjects with COVID-19 from healthy controls
Mark Woollam, Paula Angarita-Rivera, Amanda P. Siegel, et al.
Journal of Breath Research (2022) Vol. 16, Iss. 3, pp. 036002-036002
Closed Access | Times Cited: 25
Methods to Detect Volatile Organic Compounds for Breath Biopsy Using Solid-Phase Microextraction and Gas Chromatography–Mass Spectrometry
Eray Schulz, Mark Woollam, Paul Grocki, et al.
Molecules (2023) Vol. 28, Iss. 11, pp. 4533-4533
Open Access | Times Cited: 13
At-Home Breath Data Collection for Signatures of Type 2 Diabetes: A Pilot Clinical Study
Sokiyna Naser, Deborah Roberts, Sudhir Shrestha
Biosensors (2025) Vol. 15, Iss. 3, pp. 149-149
Open Access
Noninvasive glucose detection in exhaled breath condensate
Divya Tankasala, Jacqueline C. Linnes
Translational research (2019) Vol. 213, pp. 1-22
Open Access | Times Cited: 39
Non-Invasive Assessment of Metabolic Adaptation in Paediatric Patients Suffering from Type 1 Diabetes Mellitus
Phillip Trefz, Sibylle C. Schmidt, Pritam Sukul, et al.
Journal of Clinical Medicine (2019) Vol. 8, Iss. 11, pp. 1797-1797
Open Access | Times Cited: 37
Gut–brain axis volatile organic compounds derived from breath distinguish between schizophrenia and major depressive disorder
Dariush Henning, Marian Lüno, Carina Jiang, et al.
Journal of Psychiatry and Neuroscience (2023) Vol. 48, Iss. 2, pp. E117-E125
Open Access | Times Cited: 11
Medical sensor network and machine learning-enabled digital twins for diagnostic and therapeutic purposes
Anna Paleczek, Artur Rydosz
Elsevier eBooks (2025), pp. 77-94
Closed Access
Preliminary method for profiling volatile organic compounds in breath that correlate with pulmonary function and other clinical traits of subjects diagnosed with cystic fibrosis: a pilot study
Mark Woollam, Amanda P. Siegel, Paul Grocki, et al.
Journal of Breath Research (2022) Vol. 16, Iss. 2, pp. 027103-027103
Open Access | Times Cited: 18
Canine-Inspired Chemometric Analysis of Volatile Organic Compounds in Urine Headspace to Distinguish Prostate Cancer in Mice and Men
Mark Woollam, Amanda P. Siegel, Adam Munshi, et al.
Cancers (2023) Vol. 15, Iss. 4, pp. 1352-1352
Open Access | Times Cited: 10
Metabolic trajectories of diabetic ketoacidosis onset described by breath analysis
Mo Awchi, Kapil Dev Singh, Sara Bachmann Brenner, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 3
Pitavastatin slows tumor progression and alters urine‐derived volatile organic compounds through the mevalonate pathway
Luqi Wang, Yue Wang, Andy Chen, et al.
The FASEB Journal (2019) Vol. 33, Iss. 12, pp. 13710-13721
Open Access | Times Cited: 27
Six Digital Health Technologies That Will Transform Diabetes
Alexander N. Klonoff, Wei-An Lee, Nicole Y. Xu, et al.
Journal of Diabetes Science and Technology (2021) Vol. 17, Iss. 1, pp. 239-249
Open Access | Times Cited: 18
Evaluating and contextualizing volatile organic compounds in dog training breath samples from a patient with type 1 diabetes
Zoe Parr-Cortes, Nicola J. Rooney, Madeleine Wheatstone, et al.
Journal of Veterinary Behavior (2024) Vol. 75, pp. 62-75
Closed Access | Times Cited: 2
Detection of hypoglycaemia in type 1 diabetes through breath volatile organic compound profiling using gas chromatography–ion mobility spectrometry
Cléo Nicolier, Juri Künzler, Aritz Lizoain, et al.
Diabetes Obesity and Metabolism (2024)
Open Access | Times Cited: 2
An Idiographic Investigation of Diabetic Alert Dogs' Ability to Learn From a Small Sample of Breath Samples From People With Type 1 Diabetes
Catherine Reeve, Elizabeth A. Cummings, Elizabeth McLaughlin, et al.
Canadian Journal of Diabetes (2019) Vol. 44, Iss. 1, pp. 37-43.e1
Open Access | Times Cited: 21
Urinary Volatile Terpenes Analyzed by Gas Chromatography–Mass Spectrometry to Monitor Breast Cancer Treatment Efficacy in Mice
Mark Woollam, Meghana Teli, Shengzhi Liu, et al.
Journal of Proteome Research (2020) Vol. 19, Iss. 5, pp. 1913-1922
Open Access | Times Cited: 20
Modeling the Research Landscapes of Artificial Intelligence Applications in Diabetes (GAPRESEARCH)
Giang Thu Vu, Bach Xuan Tran, Roger S. McIntyre, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 6, pp. 1982-1982
Open Access | Times Cited: 17
Tracking the Progression of Triple Negative Mammary Tumors over Time by Chemometric Analysis of Urinary Volatile Organic Compounds
Mark Woollam, Luqi Wang, Paul Grocki, et al.
Cancers (2021) Vol. 13, Iss. 6, pp. 1462-1462
Open Access | Times Cited: 15
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