Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Effective gene expression prediction from sequence by integrating long-range interactions
Žiga Avsec, Vikram Agarwal, Daniel Visentin, et al.
Nature Methods (2021) Vol. 18, Iss. 10, pp. 1196-1203
Open Access | Times Cited: 714

Showing 1-25 of 714 citing articles:

Ensembl 2022
Fiona Cunningham, James E. Allen, Jamie Allen, et al.
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D988-D995
Open Access | Times Cited: 1644
Scientific discovery in the age of artificial intelligence
Hanchen Wang, Tianfan Fu, Yuanqi Du, et al.
Nature (2023) Vol. 620, Iss. 7972, pp. 47-60
Closed Access | Times Cited: 723
SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks
Carmen Bravo González‐Blas, Seppe De Winter, Gert Hulselmans, et al.
Nature Methods (2023) Vol. 20, Iss. 9, pp. 1355-1367
Open Access | Times Cited: 284
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
Richard J. Chen, Chengkuan Chen, Yicong Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 16123-16134
Open Access | Times Cited: 279
scGPT: toward building a foundation model for single-cell multi-omics using generative AI
Haotian Cui, Xiaoming Wang, Hassaan Maan, et al.
Nature Methods (2024) Vol. 21, Iss. 8, pp. 1470-1480
Open Access | Times Cited: 262
Ensembl 2024
Peter W. Harrison, M Ridwan Amode, Olanrewaju Austine-Orimoloye, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D891-D899
Open Access | Times Cited: 256
Obtaining genetics insights from deep learning via explainable artificial intelligence
Gherman Novakovsky, Nick Dexter, Maxwell W. Libbrecht, et al.
Nature Reviews Genetics (2022) Vol. 24, Iss. 2, pp. 125-137
Closed Access | Times Cited: 223
The evolution, evolvability and engineering of gene regulatory DNA
Eeshit Dhaval Vaishnav, Carl G. de Boer, Jennifer Molinet, et al.
Nature (2022) Vol. 603, Iss. 7901, pp. 455-463
Open Access | Times Cited: 196
DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of synthetic enhancers
Bernardo P. de Almeida, Franziska Reiter, Michaela Pagani, et al.
Nature Genetics (2022) Vol. 54, Iss. 5, pp. 613-624
Open Access | Times Cited: 188
Gene regulatory network inference in the era of single-cell multi-omics
Pau Badia-i-Mompel, Lorna Wessels, Sophia Müller‐Dott, et al.
Nature Reviews Genetics (2023) Vol. 24, Iss. 11, pp. 739-754
Closed Access | Times Cited: 187
Systematic differences in discovery of genetic effects on gene expression and complex traits
Hakhamanesh Mostafavi, Jeffrey P. Spence, Sahin Naqvi, et al.
Nature Genetics (2023) Vol. 55, Iss. 11, pp. 1866-1875
Closed Access | Times Cited: 155
Incomplete Penetrance and Variable Expressivity: From Clinical Studies to Population Cohorts
Rebecca Kingdom, Caroline F. Wright
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 143
Multiple causal variants underlie genetic associations in humans
Nathan S. Abell, Marianne K. DeGorter, Michael J. Gloudemans, et al.
Science (2022) Vol. 375, Iss. 6586, pp. 1247-1254
Open Access | Times Cited: 138
CADD v1.7: using protein language models, regulatory CNNs and other nucleotide-level scores to improve genome-wide variant predictions
Max Schubach, Thorben Maaß, Lusiné Nazaretyan, et al.
Nucleic Acids Research (2024) Vol. 52, Iss. D1, pp. D1143-D1154
Open Access | Times Cited: 129
iPSC-based disease modeling and drug discovery in cardinal neurodegenerative disorders
Hideyuki Okano, Satoru Morimoto
Cell stem cell (2022) Vol. 29, Iss. 2, pp. 189-208
Open Access | Times Cited: 121
AlphaPeptDeep: a modular deep learning framework to predict peptide properties for proteomics
Wen‐Feng Zeng, Xie‐Xuan Zhou, Sander Willems, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 105
The Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics
Hugo Dalla-Torre, Liam Gonzalez, Javier Mendoza‐Revilla, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 104
Generating specificity in genome regulation through transcription factor sensitivity to chromatin
Luke Isbel, Ralph S. Grand, Dirk Schübeler
Nature Reviews Genetics (2022) Vol. 23, Iss. 12, pp. 728-740
Closed Access | Times Cited: 101
DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformer
Gunjan Baid, Daniel E. Cook, Kishwar Shafin, et al.
Nature Biotechnology (2022)
Closed Access | Times Cited: 94
Applications of transformer-based language models in bioinformatics: a survey
Shuang Zhang, Rui Fan, Yuti Liu, et al.
Bioinformatics Advances (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 94
Limited overlap of eQTLs and GWAS hits due to systematic differences in discovery
Hakhamanesh Mostafavi, Jeffrey P. Spence, Sahin Naqvi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 91
Accelerating the integration of ChatGPT and other large‐scale AI models into biomedical research and healthcare
Ding‐Qiao Wang, Long‐Yu Feng, Jinguo Ye, et al.
MedComm – Future Medicine (2023) Vol. 2, Iss. 2
Open Access | Times Cited: 81
The genetic and biochemical determinants of mRNA degradation rates in mammals
Vikram Agarwal, David R. Kelley
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 77
Connectome-based modelling of neurodegenerative diseases: towards precision medicine and mechanistic insight
Jacob W. Vogel, Nick Corriveau‐Lecavalier, Nicolai Franzmeier, et al.
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 10, pp. 620-639
Closed Access | Times Cited: 77
Current sequence-based models capture gene expression determinants in promoters but mostly ignore distal enhancers
Alexander Karollus, Thomas Mauermeier, Julien Gagneur
Genome biology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 74
Page 1 - Next Page

Scroll to top