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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:

scSLAM-seq reveals core features of transcription dynamics in single cells
Florian Erhard, Marisa A. P. Baptista, Tobias Krammer, et al.
Nature (2019) Vol. 571, Iss. 7765, pp. 419-423
Open Access | Times Cited: 198

Showing 1-25 of 198 citing articles:

Generalizing RNA velocity to transient cell states through dynamical modeling
Volker Bergen, Marius Lange, Stefan Peidli, et al.
Nature Biotechnology (2020) Vol. 38, Iss. 12, pp. 1408-1414
Open Access | Times Cited: 2202
CellRank for directed single-cell fate mapping
Marius Lange, Volker Bergen, Michal Klein, et al.
Nature Methods (2022) Vol. 19, Iss. 2, pp. 159-170
Open Access | Times Cited: 512
Lineage tracing meets single-cell omics: opportunities and challenges
Daniel E. Wagner, Allon M. Klein
Nature Reviews Genetics (2020) Vol. 21, Iss. 7, pp. 410-427
Open Access | Times Cited: 502
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: 299
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: 237
Rapid and accurate alignment of nucleotide conversion sequencing reads with HISAT-3N
Yun Zhang, Chanhee Park, Christopher Bennett, et al.
Genome Research (2021) Vol. 31, Iss. 7, pp. 1290-1295
Open 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: 212
What Is a Transcriptional Burst?
Edward Tunnacliffe, Jonathan R. Chubb
Trends in Genetics (2020) Vol. 36, Iss. 4, pp. 288-297
Open Access | Times Cited: 196
Dynamics of Cardiac Neutrophil Diversity in Murine Myocardial Infarction
Ehsan Vafadarnejad, Giuseppe Rizzo, Laura Krampert, et al.
Circulation Research (2020) Vol. 127, Iss. 9
Open Access | Times Cited: 179
Generalizing RNA velocity to transient cell states through dynamical modeling
Volker Bergen, Marius Lange, Stefan Peidli, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Closed Access | Times Cited: 163
Cell type prioritization in single-cell data
Michael A. Skinnider, Jordan W. Squair, Claudia Kathe, et al.
Nature Biotechnology (2020) Vol. 39, Iss. 1, pp. 30-34
Open Access | Times Cited: 162
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: 159
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: 145
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: 140
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: 124
Understanding tumour endothelial cell heterogeneity and function from single-cell omics
Qun Zeng, Mira Mousa, Aisha Shigna Nadukkandy, et al.
Nature reviews. Cancer (2023) Vol. 23, Iss. 8, pp. 544-564
Closed Access | Times Cited: 94
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: 78
‘Multi-omics’ data integration: applications in probiotics studies
Iliya Dauda Kwoji, Olayinka Ayobami Aiyegoro, Moses Okpeku, et al.
npj Science of Food (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 49
Profiling cell identity and tissue architecture with single-cell and spatial transcriptomics
Gunsagar S. Gulati, Jeremy Philip D’Silva, Yunhe Liu, et al.
Nature Reviews Molecular Cell Biology (2024) Vol. 26, Iss. 1, pp. 11-31
Closed Access | Times Cited: 37
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: 33
Genome-wide quantification of RNA flow across subcellular compartments reveals determinants of the mammalian transcript life cycle
Robert Ietswaart, Brendan M. Smalec, Albert Xu, et al.
Molecular Cell (2024) Vol. 84, Iss. 14, pp. 2765-2784.e16
Open Access | Times Cited: 27
Single-cell nascent RNA sequencing unveils coordinated global transcription
Dig Bijay Mahat, Nathaniel D. Tippens, Jorge D. Martin-Rufino, et al.
Nature (2024) Vol. 631, Iss. 8019, pp. 216-223
Open Access | Times Cited: 26
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: 23
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: 135
Single Cell RNA Sequencing in Atherosclerosis Research
Jesse W. Williams, Holger Winkels, Christopher P. Durant, et al.
Circulation Research (2020) Vol. 126, Iss. 9, pp. 1112-1126
Open Access | Times Cited: 115
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