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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:

Squidpy: a scalable framework for spatial single cell analysis
Olle Holmberg
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Closed Access | Times Cited: 17

Showing 17 citing articles:

Spatial omics and multiplexed imaging to explore cancer biology
Sabrina M. Lewis, Marie-Liesse Asselin-Labat, Quan Nguyen, et al.
Nature Methods (2021) Vol. 18, Iss. 9, pp. 997-1012
Closed Access | Times Cited: 422
Signatures of plasticity, metastasis, and immunosuppression in an atlas of human small cell lung cancer
Joseph M. Chan, Àlvaro Quintanal-Villalonga, Vianne R. Gao, et al.
Cancer Cell (2021) Vol. 39, Iss. 11, pp. 1479-1496.e18
Open Access | Times Cited: 272
Spatial mapping of protein composition and tissue organization: a primer for multiplexed antibody-based imaging
John W. Hickey, Elizabeth K. Neumann, Andrea J. Radtke, et al.
Nature Methods (2021) Vol. 19, Iss. 3, pp. 284-295
Open Access | Times Cited: 242
Statistical and machine learning methods for spatially resolved transcriptomics with histology
Jian Hu, Amelia Schroeder, Kyle Coleman, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 3829-3841
Open Access | Times Cited: 72
MITI minimum information guidelines for highly multiplexed tissue images
Denis Schapiro, Clarence Yapp, Artem Sokolov, et al.
Nature Methods (2022) Vol. 19, Iss. 3, pp. 262-267
Open Access | Times Cited: 61
Analysis and Visualization of Spatial Transcriptomic Data
Boxiang Liu, Yanjun Li, Liang Zhang
Frontiers in Genetics (2022) Vol. 12
Open Access | Times Cited: 53
Learning cell communication from spatial graphs of cells
David S. Fischer, Anna C. Schaar, Fabian J. Theis
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 33
Museum of Spatial Transcriptomics
Lambda Moses, Lior Pachter
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 29
Comprehensive in situ mapping of human cortical transcriptomic cell types
Christoffer Mattsson Langseth, Daniel Gyllborg, Jeremy A. Miller, et al.
Communications Biology (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 27
Comparison of Resources and Methods to infer Cell-Cell Communication from Single-cell RNA Data
Daniel Dimitrov, Dénes Türei, C.W.G. Boys, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 21
Nested Stochastic Block Models applied to the analysis of single cell data
Leonardo Morelli, Valentina Giansanti, Davide Cittaro
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 15
SIMBA: SIngle-cell eMBedding Along with features
Huidong Chen, Jayoung Ryu, Michael Vinyard, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 8
Nonnegative spatial factorization
F. William Townes, Barbara E. Engelhardt
arXiv (Cornell University) (2021)
Open Access | Times Cited: 4
Perturb-map enables CRISPR genomics with spatial resolution and identifies regulators of tumor immune composition
Maxime Dhainaut, Samuel A. Rose, Güray Aktürk, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 3
Building tools for machine learning and artificial intelligence in cancer research: best practices and a case study with the PathML toolkit for computational pathology
Jacob Rosenthal, Ryan Carelli, Mohamed Omar, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 2
Beyondcell: targeting cancer therapeutic heterogeneity in single-cell RNA-seq
Coral Fustero‐Torre, María José Jiménez‐Santos, Santiago García‐Martín, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
High-resolution spatiotemporal transcriptomic maps of developing Drosophila embryos and larvae
Mingyue Wang, Qinan Hu, Tianhang Lv, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access
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