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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:

Spatially resolved transcriptomics adds a new dimension to genomics
Ludvig Larsson, Jonas Frisén, Joakim Lundeberg
Nature Methods (2021) Vol. 18, Iss. 1, pp. 15-18
Closed Access | Times Cited: 259

Showing 1-25 of 259 citing articles:

Exploring tissue architecture using spatial transcriptomics
Anjali Rao, Dalia Barkley, Gustavo S. França, et al.
Nature (2021) Vol. 596, Iss. 7871, pp. 211-220
Open Access | Times Cited: 1045
A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation
Zizhen Yao, Cindy T. J. van Velthoven, Thuc Nghi Nguyen, et al.
Cell (2021) Vol. 184, Iss. 12, pp. 3222-3241.e26
Open Access | Times Cited: 798
Squidpy: a scalable framework for spatial omics analysis
Giovanni Palla, Hannah Spitzer, Michal Klein, et al.
Nature Methods (2022) Vol. 19, Iss. 2, pp. 171-178
Open Access | Times Cited: 599
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: 496
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: 428
A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain
Zizhen Yao, Cindy T. J. van Velthoven, Michael Kunst, et al.
Nature (2023) Vol. 624, Iss. 7991, pp. 317-332
Open Access | Times Cited: 384
Spatially resolved cell atlas of the mouse primary motor cortex by MERFISH
Meng Zhang, Stephen W. Eichhorn, Brian Zingg, et al.
Nature (2021) Vol. 598, Iss. 7879, pp. 137-143
Open Access | Times Cited: 365
What is a cell type and how to define it?
Hongkui Zeng
Cell (2022) Vol. 185, Iss. 15, pp. 2739-2755
Open Access | Times Cited: 273
Spatial components of molecular tissue biology
Giovanni Palla, David S. Fischer, Aviv Regev, et al.
Nature Biotechnology (2022) Vol. 40, Iss. 3, pp. 308-318
Closed Access | Times Cited: 233
Molecularly defined and spatially resolved cell atlas of the whole mouse brain
Meng Zhang, Xingjie Pan, Won Jung, et al.
Nature (2023) Vol. 624, Iss. 7991, pp. 343-354
Open Access | Times Cited: 208
Spatially resolved clonal copy number alterations in benign and malignant tissue
Andrew Erickson, Mengxiao He, Emelie Berglund, et al.
Nature (2022) Vol. 608, Iss. 7922, pp. 360-367
Open Access | Times Cited: 191
Spatially resolved single-cell genomics and transcriptomics by imaging
Xiaowei Zhuang
Nature Methods (2021) Vol. 18, Iss. 1, pp. 18-22
Open Access | Times Cited: 186
High-plex protein and whole transcriptome co-mapping at cellular resolution with spatial CITE-seq
Yang Liu, Marcello DiStasio, Graham Su, et al.
Nature Biotechnology (2023) Vol. 41, Iss. 10, pp. 1405-1409
Open Access | Times Cited: 165
Unbiased spatial proteomics with single-cell resolution in tissues
Andreas Mund, Andreas‐David Brunner, Matthias Mann
Molecular Cell (2022) Vol. 82, Iss. 12, pp. 2335-2349
Open Access | Times Cited: 155
Alignment and integration of spatial transcriptomics data
Ron Zeira, Max Land, Alexander Strzalkowski, et al.
Nature Methods (2022) Vol. 19, Iss. 5, pp. 567-575
Open Access | Times Cited: 154
Reference-free cell type deconvolution of multi-cellular pixel-resolution spatially resolved transcriptomics data
Brendan Miller, Feiyang Huang, Lyla Atta, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 135
Statistical and machine learning methods for spatially resolved transcriptomics data analysis
Zexian Zeng, Yawei Li, Yiming Li, et al.
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 125
Characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomic data with nonuniform cellular densities
Brendan Miller, Dhananjay Bambah-Mukku, Catherine Dulac, et al.
Genome Research (2021) Vol. 31, Iss. 10, pp. 1843-1855
Open Access | Times Cited: 124
Exploring the expanding universe of small RNAs
Junchao Shi, Tong Zhou, Qi Chen
Nature Cell Biology (2022) Vol. 24, Iss. 4, pp. 415-423
Open Access | Times Cited: 124
Spatially resolved epigenomic profiling of single cells in complex tissues
Tian Lu, Cheen Euong Ang, Xiaowei Zhuang
Cell (2022) Vol. 185, Iss. 23, pp. 4448-4464.e17
Open Access | Times Cited: 115
Applications of single-cell and bulk RNA sequencing in onco-immunology
M. Kuksin, Daphné Morel, Marine Aglave, et al.
European Journal of Cancer (2021) Vol. 149, pp. 193-210
Open Access | Times Cited: 109
Explainable multiview framework for dissecting spatial relationships from highly multiplexed data
Jovan Tanevski, Ricardo O. Ramirez Flores, Attila Gábor, et al.
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 107
The Neurovasculome: Key Roles in Brain Health and Cognitive Impairment: A Scientific Statement From the American Heart Association/American Stroke Association
Costantino Iadecola, Eric E. Smith, Josef Anrather, et al.
Stroke (2023) Vol. 54, Iss. 6
Open Access | Times Cited: 77
Deciphering tissue structure and function using spatial transcriptomics
Benjamin L. Walker, Zixuan Cang, Honglei Ren, et al.
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 71
A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain
Zizhen Yao, Cindy T. J. van Velthoven, Michael Kunst, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 69
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