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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:

Sci-fate characterizes the dynamics of gene expression in single cells
Junyue Cao, Wei Zhou, Frank J. Steemers, et al.
Nature Biotechnology (2020) Vol. 38, Iss. 8, pp. 980-988
Open Access | Times Cited: 132

Showing 1-25 of 132 citing articles:

A human cell atlas of fetal chromatin accessibility
Silvia Domcke, Andrew J. Hill, Riza M. Daza, et al.
Science (2020) Vol. 370, Iss. 6518
Open Access | Times Cited: 358
Mapping transcriptomic vector fields of single cells
Xiaojie Qiu, Yan Zhang, Jorge D. Martin-Rufino, et al.
Cell (2022) Vol. 185, Iss. 4, pp. 690-711.e45
Open Access | Times Cited: 296
The triumphs and limitations of computational methods for scRNA-seq
Peter V. Kharchenko
Nature Methods (2021) Vol. 18, Iss. 7, pp. 723-732
Closed Access | Times Cited: 228
RNA velocity—current challenges and future perspectives
Volker Bergen, Ruslan Soldatov, Peter V. Kharchenko, et al.
Molecular Systems Biology (2021) Vol. 17, Iss. 8
Open Access | Times Cited: 209
Single-Cell Sequencing of Brain Cell Transcriptomes and Epigenomes
Ethan J. Armand, Junhao Li, Fangming Xie, et al.
Neuron (2021) Vol. 109, Iss. 1, pp. 11-26
Open Access | Times Cited: 189
Live-seq enables temporal transcriptomic recording of single cells
Wanze Chen, Orane Guillaume‐Gentil, Pernille Yde Rainer, et al.
Nature (2022) Vol. 608, Iss. 7924, pp. 733-740
Open Access | Times Cited: 154
Inferring Causal Gene Regulatory Networks from Coupled Single-Cell Expression Dynamics Using Scribe
Xiaojie Qiu, Arman Rahimzamani, Li Wang, et al.
Cell Systems (2020) Vol. 10, Iss. 3, pp. 265-274.e11
Open Access | Times Cited: 142
Massively parallel and time-resolved RNA sequencing in single cells with scNT-seq
Qi Qiu, Peng Hu, Xiaojie Qiu, et al.
Nature Methods (2020) Vol. 17, Iss. 10, pp. 991-1001
Open Access | Times Cited: 139
Temporal modelling using single-cell transcriptomics
Jun Ding, Nadav Sharon, Ziv Bar‐Joseph
Nature Reviews Genetics (2022) Vol. 23, Iss. 6, pp. 355-368
Open Access | Times Cited: 120
Optimized single-nucleus transcriptional profiling by combinatorial indexing
Beth Martin, Chengxiang Qiu, Eva K. Nichols, et al.
Nature Protocols (2022) Vol. 18, Iss. 1, pp. 188-207
Open Access | Times Cited: 79
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
A reference cell tree will serve science better than a reference cell atlas
Silvia Domcke, Jay Shendure
Cell (2023) Vol. 186, Iss. 6, pp. 1103-1114
Closed Access | Times Cited: 66
CellRank 2: unified fate mapping in multiview single-cell data
Philipp Weiler, Marius Lange, Michal Klein, et al.
Nature Methods (2024) Vol. 21, Iss. 7, pp. 1196-1205
Open Access | Times Cited: 30
Single-cell sequencing to multi-omics: technologies and applications
Xiangyu Wu, Xin Yang, Yunhan Dai, et al.
Biomarker Research (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 18
Machine learning for perturbational single-cell omics
Yuge Ji, Mohammad Lotfollahi, Florian Wolf, et al.
Cell Systems (2021) Vol. 12, Iss. 6, pp. 522-537
Open Access | Times Cited: 85
Time-resolved single-cell RNA-seq using metabolic RNA labelling
Florian Erhard, Antoine‐Emmanuel Saliba, Alexandra Lusser, et al.
Nature Reviews Methods Primers (2022) Vol. 2, Iss. 1
Closed Access | Times Cited: 43
Spatiotemporally resolved transcriptomics reveals the subcellular RNA kinetic landscape
Jingyi Ren, Haowen Zhou, Hu Zeng, et al.
Nature Methods (2023) Vol. 20, Iss. 5, pp. 695-705
Open Access | Times Cited: 37
Well-TEMP-seq as a microwell-based strategy for massively parallel profiling of single-cell temporal RNA dynamics
Shichao Lin, Kun Yin, Yingkun Zhang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 27
Reversible, tunable epigenetic silencing of TCF1 generates flexibility in the T cell memory decision
Kathleen Abadie, Elisa C. Clark, Rajesh M. Valanparambil, et al.
Immunity (2024) Vol. 57, Iss. 2, pp. 271-286.e13
Open Access | Times Cited: 14
Multiplexed single-cell characterization of alternative polyadenylation regulators
Madeline H. Kowalski, Hans‐Hermann Wessels, Johannes Linder, et al.
Cell (2024) Vol. 187, Iss. 16, pp. 4408-4425.e23
Closed Access | Times Cited: 13
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
Cell-type-specific mRNA transcription and degradation kinetics in zebrafish embryogenesis from metabolically labeled single-cell RNA-seq
Lior Fishman, Avani Modak, Gal Nechooshtan, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 12
Single-cell nanobiopsy enables multigenerational longitudinal transcriptomics of cancer cells
Fabio Marcuccio, Chalmers Chau, Georgette Tanner, et al.
Science Advances (2024) Vol. 10, Iss. 10
Open Access | Times Cited: 9
Gene trajectory inference for single-cell data by optimal transport metrics
Rihao Qu, Xiuyuan Cheng, Esen Sefik, et al.
Nature Biotechnology (2024)
Open Access | Times Cited: 9
A review of dynamical systems approaches for the detection of chaotic attractors in cancer networks
Abicumaran Uthamacumaran
Patterns (2021) Vol. 2, Iss. 4, pp. 100226-100226
Open Access | Times Cited: 50
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