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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:

The future of rapid and automated single-cell data analysis using reference mapping
Mohammad Lotfollahi, Yuhan Hao, Fabian J. Theis, et al.
Cell (2024) Vol. 187, Iss. 10, pp. 2343-2358
Open Access | Times Cited: 23

Showing 23 citing articles:

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: 31
Toward a foundation model of causal cell and tissue biology with a Perturbation Cell and Tissue Atlas
Jennifer Rood, Anna Hupalowska, Aviv Regev
Cell (2024) Vol. 187, Iss. 17, pp. 4520-4545
Closed Access | Times Cited: 18
A practical guide for single-cell transcriptome data analysis in neuroscience
Yoshinori Hayakawa, Haruka Ozaki
Neuroscience Research (2025)
Open Access | Times Cited: 1
Integrating Spatially‐Resolved Transcriptomics Data Across Tissues and Individuals: Challenges and Opportunities
Boyi Guo, Wodan Ling, Sang Ho Kwon, et al.
Small Methods (2025)
Open Access
Benchmarking cross-species single-cell RNA-seq data integration methods: towards a cell type tree of life
Zhong Hua-wen, Wenkai Han, David Gómez-Cabrero, et al.
Nucleic Acids Research (2025) Vol. 53, Iss. 1
Open Access
FastCCC: A permutation-free framework for scalable, robust, and reference-based cell-cell communication analysis in single cell transcriptomics studies
Siyu Hou, Wenjing Ma, Xiang Zhou
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access
Consequences of training data composition for deep learning models in single-cell biology
Ajay Nadig, Akshaya Thoutam, Madeline Hughes, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Recent progress in single-cell transcriptomic studies in plants
Yuhan Cho, Ulhas Sopanrao Kadam, Bogun Park, et al.
Plant Biotechnology Reports (2025)
Open Access
Toward automated and explainable high-throughput perturbation analysis in single cells
Jesus Gonzalez-Ferrer, Mohammed A. Mostajo-Radji
Patterns (2025) Vol. 6, Iss. 4, pp. 101228-101228
Open Access
Spatial oncology: Translating contextual biology to the clinic
Dennis Gong, Jeanna M Arbesfeld-Qiu, Ella Perrault, et al.
Cancer Cell (2024)
Closed Access | Times Cited: 4
uniLIVER: a human liver cell atlas for data-driven cellular state mapping
Yanhong Wu, Yuhan Fan, Yuxin Miao, et al.
Journal of genetics and genomics/Journal of Genetics and Genomics (2025)
Closed Access
Unifying Genetic and Chemical Perturbagen Representation through a Hybrid Deep Learning Framework
Yiming Li, Jun Zhu, Linjing Liu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access
Enhanced interpretation of immune cell phenotype and function through a rhesus macaque single-cell atlas
Eisa Mahyari, Gregory J. Boggy, GW McElfresh, et al.
Cell Genomics (2025), pp. 100849-100849
Open Access
Clinical and translational mode of single‐cell measurements: An artificial intelligent single‐cell
Xiangdong Wang, Charles A. Powell, Qin Ma, et al.
Clinical and Translational Medicine (2024) Vol. 14, Iss. 9
Open Access | Times Cited: 3
Considerations for building and using integrated single-cell atlases
Karin Hrovatin, Lisa Sikkema, Vladimir A. Shitov, et al.
Nature Methods (2024)
Closed Access | Times Cited: 2
AI for biofabrication
Chang Ren Zhou, C. Liu, Zhongxing Liao, et al.
Biofabrication (2024) Vol. 17, Iss. 1, pp. 012004-012004
Closed Access | Times Cited: 1
SpotSweeper: spatially-aware quality control for spatial transcriptomics
Michael S. Totty, Stephanie C. Hicks, Boyi Guo
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Φ-Space: Continuous phenotyping of single-cell multi-omics data
Jiadong Mao, Yidi Deng, Kim‐Anh Lê Cao
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Clinical and translational mode of single‐cell measurements: An artificial intelligent single cell
Xiangdong Wang, Charles A. Powell, Qin Ma, et al.
Clinical and Translational Discovery (2024) Vol. 4, Iss. 4
Open Access
Subcellular Region Morphology Reflects Cellular Identity
Ángel Román, Alba Díaz-Pizarro, Nuria Del Valle-Del Pino, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Single-Molecule Barcoding Technology for Single-Cell Genomics
Ivan García-Bassets, Guoya Mo, Yu Xia, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
scPlantFormer: A Lightweight Foundation Model for Plant Single-Cell Omics Analysis
Xiujun Zhang, Jing Xu, Di Chen, et al.
Research Square (Research Square) (2024)
Open Access
Should Artificial Intelligence Play a Durable Role in Biomedical Research and Practice?
Pierre Bongrand
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 24, pp. 13371-13371
Open Access
CellFM: a large-scale foundation model pre-trained on transcriptomics of 100 million human cells
Yuansong Zeng, Jiancong Xie, Zhuoyi Wei, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Adversarial learning enables unbiased organism-wide cross-species alignment of single-cell RNA data
J. Javier Díaz-Mejía, Elias Williams, Brendan T. Innes, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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