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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:

Learning interpretable cellular responses to complex perturbations in high-throughput screens
Mohammad Lotfollahi, Anna Klimovskaia Susmelj, Carlo De Donno, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

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: 486
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: 376
Rational combinations of targeted cancer therapies: background, advances and challenges
Haojie Jin, Liqin Wang, René Bernards
Nature Reviews Drug Discovery (2022) Vol. 22, Iss. 3, pp. 213-234
Closed Access | Times Cited: 232
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: 192
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: 141
scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI
Haotian Cui, Xiaoming Wang, Hassaan Maan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 114
Large-scale foundation model on single-cell transcriptomics
Minsheng Hao, Jing Gong, Xin Zeng, et al.
Nature Methods (2024) Vol. 21, Iss. 8, pp. 1481-1491
Closed Access | Times Cited: 77
Large Scale Foundation Model on Single-cell Transcriptomics
Minsheng Hao, Jing Gong, Xin Zeng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 56
Biologically informed deep learning to query gene programs in single-cell atlases
Mohammad Lotfollahi, Sergei Rybakov, Karin Hrovatin, et al.
Nature Cell Biology (2023)
Open Access | Times Cited: 55
Deep learning in spatially resolved transcriptomics: a comprehensive technical view
Roxana Zahedi, Mohammad Reza Eftekhariyan Ghamsari, Ahmadreza Argha, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 15
Multigrate: single-cell multi-omic data integration
Anastasia Litinetskaya, Maiia Shulman, Fabiola Curion, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 46
Cross-modal autoencoder framework learns holistic representations of cardiovascular state
Adityanarayanan Radhakrishnan, Samuel Friedman, Shaan Khurshid, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 36
GEARS: Predicting transcriptional outcomes of novel multi-gene perturbations
Yusuf Roohani, Kexin Huang, Jure Leskovec
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 28
GeneCompass: Deciphering Universal Gene Regulatory Mechanisms with Knowledge-Informed Cross-Species Foundation Model
Xiaodong Yang, Guole Liu, Guihai Feng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 21
Mapping lineage-traced cells across time points with moslin
Marius Lange, Zoe Piran, Michal Klein, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 5
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data
Jing Gong, Minsheng Hao, Xin Zeng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 15
Generative modeling of single-cell gene expression for dose-dependent chemical perturbations
Omar Kana, Rance Nault, David Filipovic, et al.
Patterns (2023) Vol. 4, Iss. 8, pp. 100817-100817
Open Access | Times Cited: 12
Integration of Pan-Cancer Cell Line and Single-Cell Transcriptomic Profiles Enables Inference of Therapeutic Vulnerabilities in Heterogeneous Tumors
Weijie Zhang, Danielle Maeser, Adam M. Lee, et al.
Cancer Research (2024) Vol. 84, Iss. 12, pp. 2021-2033
Open Access | Times Cited: 4
Deep generative modeling of sample-level heterogeneity in single-cell genomics
Pierre Boyeau, Justin Hong, Adam Gayoso, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 16
Artificial intelligence for neurodegenerative experimental models
Sarah J. Marzi, Brian M. Schilder, Alexi Nott, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 12, pp. 5970-5987
Open Access | Times Cited: 9
Interpretable generative deep learning: an illustration with single cell gene expression data
Martin Treppner, Harald Binder, Moritz Hess
Human Genetics (2022) Vol. 141, Iss. 9, pp. 1481-1498
Open Access | Times Cited: 15
PerturbNet predicts single-cell responses to unseen chemical and genetic perturbations
Hengshi Yu, Joshua D. Welch
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 14
Deep learning models will shape the future of stem cell research
John F. Ouyang, Sonia Chothani, Owen J. L. Rackham
Stem Cell Reports (2023) Vol. 18, Iss. 1, pp. 6-12
Open Access | Times Cited: 7
Signal domain adaptation network for limited-view optoacoustic tomography
Anna Klimovskaia Susmelj, Berkan Lafci, Fırat Özdemir, et al.
Medical Image Analysis (2023) Vol. 91, pp. 103012-103012
Open Access | Times Cited: 7
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
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