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:

Unified AI framework to uncover deep interrelationships between gene expression and Alzheimer’s disease neuropathologies
Nicasia Beebe-Wang, Safiye Çelik, Ethan Weinberger, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 14

Showing 14 citing articles:

Unified epigenomic, transcriptomic, proteomic, and metabolomic taxonomy of Alzheimer’s disease progression and heterogeneity
Yasser Iturria‐Medina, Quadri Adewale, Ahmed Faraz Khan, et al.
Science Advances (2022) Vol. 8, Iss. 46
Open Access | Times Cited: 44

Explainable and programmable hypergraph convolutional network for imaging genetics data fusion
Xia-an Bi, Sheng Luo, Siyu Jiang, et al.
Information Fusion (2023) Vol. 100, pp. 101950-101950
Closed Access | Times Cited: 11

Machine Learning-Based Prediction of Glioma IDH Gene Mutation Status Using Physio-Metabolic MRI of Oxygen Metabolism and Neovascularization (A Bicenter Study)
Andreas Stadlbauer, Katarina Nikolić, Stefan Oberndorfer, et al.
Cancers (2024) Vol. 16, Iss. 6, pp. 1102-1102
Open Access | Times Cited: 4

An interpretable deep learning framework identifies proteomic drivers of Alzheimer’s disease
Elena Panizza, Richard A. Cerione
Frontiers in Cell and Developmental Biology (2024) Vol. 12
Open Access | Times Cited: 4

Deep profiling of gene expression across 18 human cancers
Wei Qiu, Ayse B. Dincer, Joseph D. Janizek, et al.
Nature Biomedical Engineering (2024)
Closed Access | Times Cited: 4

Predicting gene expression state and prioritizing putative enhancers using 5hmC signal
Edahí González‐Avalos, Atsushi Onodera, Daniela Samaniego‐Castruita, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 3

Deep learning-based brain transcriptomic signatures associated with the neuropathological and clinical severity of Alzheimer’s disease
Qi Wang, Kewei Chen, Yi‐Chang Su, et al.
Brain Communications (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 16

scHybridBERT: integrating gene regulation and cell graph for spatiotemporal dynamics in single-cell clustering
Wei Zhang, Wu Chenjun, Xing Feiyang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 2

Investigation of early molecular alterations in tauopathy with generative adversarial networks
Hye‐Rin Kim, Yong-Jin Kim, Chung-Yeol Lee, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5

Changes in expression of VGF, SPECC1L, HLA-DRA and RANBP3L act with APOE E4 to alter risk for late onset Alzheimer’s disease
Sergio Branciamore, Grigoriy Gogoshin, Andréi S. Rodin, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

A deep profile of gene expression across 18 human cancers
Wei Qiu, Ayse B. Dincer, Joseph D. Janizek, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

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