Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A Spatiotemporal Organ-Wide Gene Expression and Cell Atlas of the Developing Human Heart
Michaela Asp, Stefania Giacomello, Ludvig Larsson, et al.
Cell (2019) Vol. 179, Iss. 7, pp. 1647-1660.e19
Open Access | Times Cited: 628

Showing 1-25 of 628 citing articles:

Long non-coding RNAs: definitions, functions, challenges and recommendations
John S. Mattick, Paulo Amaral, Piero Carninci, et al.
Nature Reviews Molecular Cell Biology (2023) Vol. 24, Iss. 6, pp. 430-447
Open Access | Times Cited: 1157
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: 1069
Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex
Kristen R. Maynard, Leonardo Collado‐Torres, Lukas M. Weber, et al.
Nature Neuroscience (2021) Vol. 24, Iss. 3, pp. 425-436
Open Access | Times Cited: 758
Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics
Sophia K. Longo, Margaret Guo, Andrew L. Ji, et al.
Nature Reviews Genetics (2021) Vol. 22, Iss. 10, pp. 627-644
Open Access | Times Cited: 672
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: 655
A human cell atlas of fetal gene expression
Junyue Cao, Diana R. O’Day, Hannah A. Pliner, et al.
Science (2020) Vol. 370, Iss. 6518
Open Access | Times Cited: 619
SPOTlight: seeded NMF regression to deconvolute spatial transcriptomics spots with single-cell transcriptomes
Marc Elosua-Bayés, Paula Nieto, Elisabetta Mereu, et al.
Nucleic Acids Research (2021) Vol. 49, Iss. 9, pp. e50-e50
Open Access | Times Cited: 504
Spatially Resolved Transcriptomes—Next Generation Tools for Tissue Exploration
Michaela Asp, Joseph Bergenstråhle, Joakim Lundeberg
BioEssays (2020) Vol. 42, Iss. 10
Open Access | Times Cited: 484
Spatiotemporal analysis of human intestinal development at single-cell resolution
David Fawkner-Corbett, Agne Antanaviciute, Kaushal Parikh, et al.
Cell (2021) Vol. 184, Iss. 3, pp. 810-826.e23
Open Access | Times Cited: 397
Single-cell and spatial transcriptomics enables probabilistic inference of cell type topography
Alma Andersson, Joseph Bergenstråhle, Michaela Asp, et al.
Communications Biology (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 348
Benchmarking spatial and single-cell transcriptomics integration methods for transcript distribution prediction and cell type deconvolution
Bin Li, Wen Zhang, Chuang Guo, et al.
Nature Methods (2022) Vol. 19, Iss. 6, pp. 662-670
Closed Access | Times Cited: 277
The emerging landscape of spatial profiling technologies
Jeffrey R. Moffitt, Emma Lundberg, Holger Heyn
Nature Reviews Genetics (2022) Vol. 23, Iss. 12, pp. 741-759
Closed Access | Times Cited: 277
The expanding vistas of spatial transcriptomics
Luyi Tian, Fei Chen, Evan Z. Macosko
Nature Biotechnology (2022) Vol. 41, Iss. 6, pp. 773-782
Closed Access | Times Cited: 260
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
Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions
Alma Andersson, Ludvig Larsson, Linnea Stenbeck, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 256
Single-cell RNA sequencing in cardiovascular development, disease and medicine
David T. Paik, Sang-Kyun Cho, Lei Tian, et al.
Nature Reviews Cardiology (2020) Vol. 17, Iss. 8, pp. 457-473
Open Access | Times Cited: 237
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: 237
SpatialDWLS: accurate deconvolution of spatial transcriptomic data
Rui Dong, Guo‐Cheng Yuan
Genome biology (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 227
Seamless integration of image and molecular analysis for spatial transcriptomics workflows
Joseph Bergenstråhle, Ludvig Larsson, Joakim Lundeberg
BMC Genomics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 225
Hybridization-based in situ sequencing (HybISS) for spatially resolved transcriptomics in human and mouse brain tissue
Daniel Gyllborg, Christoffer Mattsson Langseth, Xiaoyan Qian, et al.
Nucleic Acids Research (2020) Vol. 48, Iss. 19, pp. e112-e112
Open Access | Times Cited: 224
Uncovering an Organ’s Molecular Architecture at Single-Cell Resolution by Spatially Resolved Transcriptomics
Jie Liao, Xiaoyan Lu, Xin Shao, et al.
Trends in biotechnology (2020) Vol. 39, Iss. 1, pp. 43-58
Open Access | Times Cited: 212
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: 189
DSTG: deconvoluting spatial transcriptomics data through graph-based artificial intelligence
Qianqian Song, Jing Su
Briefings in Bioinformatics (2020) Vol. 22, Iss. 5
Open Access | Times Cited: 166
SPARK-X: non-parametric modeling enables scalable and robust detection of spatial expression patterns for large spatial transcriptomic studies
Jiaqiang Zhu, Shiquan Sun, Xiang Zhou
Genome biology (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 166
Spatiotemporal single-cell RNA sequencing of developing chicken hearts identifies interplay between cellular differentiation and morphogenesis
Madhav Mantri, Gaetano J. Scuderi, Roozbeh Abedini‐Nassab, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 162
Page 1 - Next Page

Scroll to top