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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:

scGen predicts single-cell perturbation responses
Mohammad Lotfollahi, F. Alexander Wolf, Fabian J. Theis
Nature Methods (2019) Vol. 16, Iss. 8, pp. 715-721
Closed Access | Times Cited: 416

Showing 1-25 of 416 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: 2058
Cells of the adult human heart
Monika Litviňuková, Carlos Talavera‐López, Henrike Maatz, et al.
Nature (2020) Vol. 588, Iss. 7838, pp. 466-472
Open Access | Times Cited: 1205
Benchmarking atlas-level data integration in single-cell genomics
Malte D. Luecken, Maren Büttner, Kridsadakorn Chaichoompu, et al.
Nature Methods (2021) Vol. 19, Iss. 1, pp. 41-50
Open Access | Times Cited: 727
scMC learns biological variation through the alignment of multiple single-cell genomics datasets
Lihua Zhang, Qing Nie
Genome biology (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 643
Single‐cell RNA sequencing technologies and applications: A brief overview
Dragomirka Jovic, Xue Liang, Zeng Hua, et al.
Clinical and Translational Medicine (2022) Vol. 12, Iss. 3
Open Access | Times Cited: 576
MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data
Ricard Argelaguet, Damien Arnol, Danila Bredikhin, et al.
Genome biology (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 506
Best practices for single-cell analysis across modalities
Lukas Heumos, Anna C. Schaar, Christopher Lance, et al.
Nature Reviews Genetics (2023) Vol. 24, Iss. 8, pp. 550-572
Open Access | Times Cited: 436
Mapping single-cell data to reference atlases by transfer learning
Mohammad Lotfollahi, Mohsen Naghipourfar, Malte D. Luecken, et al.
Nature Biotechnology (2021) Vol. 40, Iss. 1, pp. 121-130
Open Access | Times Cited: 361
High-content CRISPR screening
Christoph Bock, Paul Datlinger, Florence M. Chardon, et al.
Nature Reviews Methods Primers (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 334
Dissecting cell identity via network inference and in silico gene perturbation
Kenji Kamimoto, Blerta Stringa, Christy M. Hoffmann, et al.
Nature (2023) Vol. 614, Iss. 7949, pp. 742-751
Open Access | Times Cited: 302
A spatially restricted fibrotic niche in pulmonary fibrosis is sustained by M-CSF/M-CSFR signalling in monocyte-derived alveolar macrophages
Nikita Joshi, Satoshi Watanabe, Rohan Verma, et al.
European Respiratory Journal (2019) Vol. 55, Iss. 1, pp. 1900646-1900646
Open Access | Times Cited: 236
Artificial intelligence for proteomics and biomarker discovery
Matthias Mann, Chanchal Kumar, Wenfeng Zeng, et al.
Cell Systems (2021) Vol. 12, Iss. 8, pp. 759-770
Open Access | Times Cited: 213
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: 212
High-content CRISPR screening
Christoph Bock, Paul Datlinger, Florence M. Chardon, et al.
Nature Reviews Methods Primers (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 192
Applications of single-cell RNA sequencing in drug discovery and development
Bram Van de Sande, Joon Sang Lee, Euphemia Mutasa-Gottgens, et al.
Nature Reviews Drug Discovery (2023) Vol. 22, Iss. 6, pp. 496-520
Open Access | Times Cited: 165
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: 162
Impact of the Human Cell Atlas on medicine
Jennifer Rood, Aidan Maartens, Anna Hupalowska, et al.
Nature Medicine (2022) Vol. 28, Iss. 12, pp. 2486-2496
Open Access | Times Cited: 132
Machine learning in clinical decision making
Lorenz Adlung, Yotam Cohen, Uria Mor, et al.
Med (2021) Vol. 2, Iss. 6, pp. 642-665
Open Access | Times Cited: 130
Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape
Luke Zappia, Fabian J. Theis
Genome biology (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 112
Modeling gene regulatory networks using neural network architectures
Hantao Shu, Jingtian Zhou, Qiuyu Lian, et al.
Nature Computational Science (2021) Vol. 1, Iss. 7, pp. 491-501
Closed Access | Times Cited: 108
Predicting cellular responses to complex perturbations in high‐throughput screens
Mohammad Lotfollahi, Anna Klimovskaia Susmelj, Carlo De Donno, et al.
Molecular Systems Biology (2023) Vol. 19, Iss. 6
Open Access | Times Cited: 107
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
Nan Yang, Javier Del Ser, Simon Walsh, et al.
Information Fusion (2022) Vol. 82, pp. 99-122
Open Access | Times Cited: 98
Predicting transcriptional outcomes of novel multigene perturbations with GEARS
Yusuf Roohani, Kexin Huang, Jure Leskovec
Nature Biotechnology (2023) Vol. 42, Iss. 6, pp. 927-935
Open Access | Times Cited: 95
An integrated cell atlas of the human lung in health and disease
Lisa Sikkema, Daniel Strobl, Luke Zappia, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 80
A pan-grass transcriptome reveals patterns of cellular divergence in crops
Bruno Guillotin, Ramin Rahni, Michael J. Passalacqua, et al.
Nature (2023) Vol. 617, Iss. 7962, pp. 785-791
Open Access | Times Cited: 79
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