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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:

TENET: gene network reconstruction using transfer entropy reveals key regulatory factors from single cell transcriptomic data
Junil Kim, Simon Toftholm Jakobsen, Kedar Nath Natarajan, et al.
Nucleic Acids Research (2020) Vol. 49, Iss. 1, pp. e1-e1
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Network inference with Granger causality ensembles on single-cell transcriptomics
Atul Deshpande, Li‐Fang Chu, Ron Stewart, et al.
Cell Reports (2022) Vol. 38, Iss. 6, pp. 110333-110333
Open Access | Times Cited: 91
Exploration of cell state heterogeneity using single-cell proteomics through sensitivity-tailored data-independent acquisition
Valdemaras Petrosius, Pedro Aragon-Fernandez, Nil Üresin, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 52
TFvelo: gene regulation inspired RNA velocity estimation
Jiachen Li, Xiaoyong Pan, Ye Yuan, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 12
MICA: a multi-omics method to predict gene regulatory networks in early human embryos
Gregorio Alanis‐Lobato, Thomas E. Bartlett, Qiulin Huang, et al.
Life Science Alliance (2023) Vol. 7, Iss. 1, pp. e202302415-e202302415
Open Access | Times Cited: 16
Prediction of protein-RNA interactions from single-cell transcriptomic data
Jonathan Fiorentino, Alexandros Armaos, Alessio Colantoni, et al.
Nucleic Acids Research (2024) Vol. 52, Iss. 6, pp. e31-e31
Open Access | Times Cited: 5
Topological benchmarking of algorithms to infer gene regulatory networks from single-cell RNA-seq data
Marco Stock, Niclas Popp, Jonathan Fiorentino, et al.
Bioinformatics (2024) Vol. 40, Iss. 5
Open Access | Times Cited: 5
Identifying key drivers in a stochastic dynamical system through estimation of transfer entropy between univariate and multivariate time series
Julian Lee
Physical review. E (2025) Vol. 111, Iss. 2
Closed Access
Deciphering driver regulators of cell fate decisions from single-cell transcriptomics data with CEFCON
Peizhuo Wang, Wen Xiao, Han Li, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Single‐microglia transcriptomic transition network‐based prediction and real‐world patient data validation identifies ketorolac as a repurposable drug for Alzheimer's disease
Jielin Xu, Wenqiang Song, Zhenxing Xu, et al.
Alzheimer s & Dementia (2024) Vol. 21, Iss. 1
Closed Access | Times Cited: 3
VeTra: a tool for trajectory inference based on RNA velocity
Guangzheng Weng, Junil Kim, Kyoung‐Jae Won
Bioinformatics (2021) Vol. 37, Iss. 20, pp. 3509-3513
Open Access | Times Cited: 20
Artificial intelligence and machine learning applications for cultured meat
Michael E. Todhunter, Sheikh Jubair, Ruchika Verma, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 2
RVAgene: generative modeling of gene expression time series data
Raktim Mitra, Adam L. MacLean
Bioinformatics (2021) Vol. 37, Iss. 19, pp. 3252-3262
Open Access | Times Cited: 16
Inferring Gene Regulatory Networks From Single-Cell Transcriptomic Data Using Bidirectional RNN
Yanglan Gan, Xin Hu, Guobing Zou, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 11
Learning cell-specific networks from dynamics and geometry of single cells
Stephen Y. Zhang, Michael P. H. Stumpf
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
A review on gene regulatory network reconstruction algorithms based on single cell RNA sequencing
Hyeonkyu Kim, Hwisoo Choi, Daewon Lee, et al.
Genes & Genomics (2023) Vol. 46, Iss. 1, pp. 1-11
Closed Access | Times Cited: 5
A Sight on Single-Cell Transcriptomics in Plants Through the Prism of Cell-Based Computational Modeling Approaches: Benefits and Challenges for Data Analysis
Aleksandr Bobrovskikh, Alexey Doroshkov, Stefano Mazzoleni, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 12
MICA: A multi-omics method to predict gene regulatory networks in early human embryos
Gregorio Alanis‐Lobato, Thomas E. Bartlett, Qiulin Huang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Systemic approaches using single cell transcriptome reveal that C/EBPγ regulates autophagy under amino acid starved condition
Dongha Kim, Junil Kim, Young Suk Yu, et al.
Nucleic Acids Research (2022) Vol. 50, Iss. 13, pp. 7298-7309
Open Access | Times Cited: 7
Gene regulatory network inference with popInfer reveals dynamic regulation of hematopoietic stem cell quiescence upon diet restriction and aging
Megan K. Rommelfanger, Marthe Behrends, Yulin Chen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Assessing transfer entropy from biochemical data
Takuya Imaizumi, Nobuhisa Umeki, Ryo Yoshizawa, et al.
Physical review. E (2022) Vol. 105, Iss. 3
Open Access | Times Cited: 4
VeTra: a tool for trajectory inference based on RNA velocity
Guangzheng Weng, Junil Kim, Kyoung‐Jae Won
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 5
Five Years of Gene Networks Modeling in Single-cell RNA-sequencing Studies: Current Approaches and Outstanding Challenges
Samarendra Das, Upendra Kumar Pradhan, N. Shesh
Current Bioinformatics (2022) Vol. 17, Iss. 10, pp. 888-908
Closed Access | Times Cited: 3
Single-nucleus and spatial transcriptomic analysis identified molecular features of neuronal heterogeneity and distinct glial responses in Parkinson’s disease
Sooyeon Yoo, Kwanghoon Lee, Junseo Seo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Highlighting roles of autophagy in human diseases: a perspective from single-cell RNA sequencing analyses
Anis Khalafiyan, Mahmood Fadaie, Fatemeh Khara, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 12, pp. 104224-104224
Open Access
FastTENET: an accelerated TENET algorithm based on manycore computing in Python
R. Sung, Hyeonkyu Kim, Junil Kim, et al.
Bioinformatics (2024)
Open Access
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