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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:

Early Stage Glycosylation Biomarkers in Alzheimer’s Disease
Patricia A. Regan, Paula L. McClean, Thomas J. Smyth, et al.
Medicines (2019) Vol. 6, Iss. 3, pp. 92-92
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Mortality Risk Profiling of Staphylococcus aureus Bacteremia by Multi-omic Serum Analysis Reveals Early Predictive and Pathogenic Signatures
Jacob M. Wozniak, Robert H. Mills, Joshua Olson, et al.
Cell (2020) Vol. 182, Iss. 5, pp. 1311-1327.e14
Open Access | Times Cited: 82
Implications of Glycosylation in Alzheimer’s Disease
Henriette Haukedal, Kristine Freude
Frontiers in Neuroscience (2021) Vol. 14
Open Access | Times Cited: 79
Recent Advances in Analytical Approaches for Glycan and Glycopeptide Quantitation
Daniel G. Delafield, Lingjun Li
Molecular & Cellular Proteomics (2020) Vol. 20, pp. 100054-100054
Open Access | Times Cited: 72
Role of Tau Protein in Neurodegenerative Diseases and Development of Its Targeted Drugs: A Literature Review
J Yang, Weijia Zhi, Lifeng Wang
Molecules (2024) Vol. 29, Iss. 12, pp. 2812-2812
Open Access | Times Cited: 11
The N‐glycan profile in cortex and hippocampus is altered in Alzheimer disease
Stefan Gaunitz, Lars O. Tjernberg, Sophia Schedin‐Weiss
Journal of Neurochemistry (2020) Vol. 159, Iss. 2, pp. 292-304
Open Access | Times Cited: 44
Barcode sequencing and a high-throughput assay for chronological lifespan uncover ageing-associated genes in fission yeast
Catalina A. Romila, StJohn Townsend, Michał Małecki, et al.
Microbial Cell (2021) Vol. 8, Iss. 7, pp. 146-160
Open Access | Times Cited: 26
Glycan Mimetics from Natural Products: New Therapeutic Opportunities for Neurodegenerative Disease
Wenyue Wang, Sandeep Gopal, Roger Pocock, et al.
Molecules (2019) Vol. 24, Iss. 24, pp. 4604-4604
Open Access | Times Cited: 29
PUStackNGly: Positive-Unlabeled and Stacking Learning for N-Linked Glycosylation Site Prediction
Alhasan Alkuhlani, Walaa Gad, Mohamed Roushdy, et al.
IEEE Access (2022) Vol. 10, pp. 12702-12713
Open Access | Times Cited: 15
Glycoproteomics in Cerebrospinal Fluid Reveals Brain-Specific Glycosylation Changes
Melissa Baerenfaenger, Merel A. Post, Pieter Langerhorst, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 3, pp. 1937-1937
Open Access | Times Cited: 8
Glycoproteins as diagnostic and prognostic biomarkers for neurodegenerative diseases: A glycoproteomic approach
Mingming Xu, Maotian Zhou, Shuwei Li, et al.
Journal of Neuroscience Research (2021) Vol. 99, Iss. 5, pp. 1308-1324
Closed Access | Times Cited: 21
Using micro pillar array columns (μPAC) for the analysis of permethylated glycans
Byeong Gwan Cho, Peilin Jiang, Mona Goli, et al.
The Analyst (2021) Vol. 146, Iss. 13, pp. 4374-4383
Closed Access | Times Cited: 18
N-Glycan profile of the cell membrane as a probe for lipopolysaccharide-induced microglial neuroinflammation uncovers the effects of common fatty acid supplementation
Sheryl Joyce B. Grijaldo, Michael Russelle Alvarez, Ryan Schindler, et al.
Food & Function (2024) Vol. 15, Iss. 16, pp. 8258-8273
Closed Access | Times Cited: 1
Human Brain and Blood N-Glycome Profiling in Alzheimer’s Disease and Alzheimer’s Disease-Related Dementias
Lei Yu, Zhiguang Huo, Jingyun Yang, et al.
Frontiers in Aging Neuroscience (2021) Vol. 13
Open Access | Times Cited: 14
Cerebrospinal Fluid Proteome Alterations Associated with Neuropsychiatric Symptoms in Cognitive Decline and Alzheimer’s Disease
Magdalena Mroczek, Christopher Clark, Loı̈c Dayon, et al.
Cells (2022) Vol. 11, Iss. 6, pp. 1030-1030
Open Access | Times Cited: 9
PTG-PLM: Predicting Post-Translational Glycosylation and Glycation Sites Using Protein Language Models and Deep Learning
Alhasan Alkuhlani, Walaa Gad, Mohamed Roushdy, et al.
Axioms (2022) Vol. 11, Iss. 9, pp. 469-469
Open Access | Times Cited: 8
Probabilistic identification of saccharide moieties in biomolecules and their protein complexes
Hesam Dashti, William M. Westler, Jonathan R. Wedell, et al.
Scientific Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 11
N-Glycomics of Cerebrospinal Fluid: Method Comparison
Byeong Gwan Cho, Cristian D. Gutierrez Reyes, Yehia Mechref
Molecules (2021) Vol. 26, Iss. 6, pp. 1712-1712
Open Access | Times Cited: 10
Novel Approaches and Challenges of Discovery of Exosite Modulators of a Disintegrin and Metalloprotease 10
Dmitriy Minond
Frontiers in Molecular Biosciences (2020) Vol. 7
Open Access | Times Cited: 8
COSMC mutations reduce T‐synthase activity in advanced Alzheimer's disease
Seema Gollamudi, Rukmani Lekhraj, Shirin Lalezari, et al.
Alzheimer s & Dementia Translational Research & Clinical Interventions (2020) Vol. 6, Iss. 1
Open Access | Times Cited: 7
Proteomics and post-translational modifications analysis of umbilical mesenchymal stem cells aging
Junyan Wang, Keli Zhao, Ling Chen, et al.
Analytical Biochemistry (2022) Vol. 652, pp. 114770-114770
Closed Access | Times Cited: 4
A Method for Bridging Population-Specific Genotypes to Detect Gene Modules Associated with Alzheimer’s Disease
Yulin Dai, Peilin Jia, Zhongming Zhao, et al.
Cells (2022) Vol. 11, Iss. 14, pp. 2219-2219
Open Access | Times Cited: 4
Model Classification Using an Extreme Gradient Boosting Algorithm to Predict the Post-Translational Modification (PTM) Glycosylation in Sequence O
Sabyasachi Pramanik
Advances in healthcare information systems and administration book series (2024), pp. 161-173
Closed Access
Model Classification for Predicting the Post-Translational Modification (PTM) Glycosylation in Sequence O Using an Extreme Gradient Boosting Algorithm
Damayanti, Damayanti, Sutyarso, et al.
Journal of Computer Science (2024) Vol. 20, Iss. 7, pp. 758-767
Open Access
High-throughput N-glycan analysis in aging and inflammaging: State of the art and future directions
Ana Cindrić, Tea Pribić, Gordan Lauc
Seminars in Immunology (2024) Vol. 73, pp. 101890-101890
Closed Access
Differences in cerebral structure among patients with amnestic mild cognitive impairment and patients with Alzheimer’s disease
Xiaorui Cui, Mingpeng Li, Guanxiong Lei, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access
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