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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:

Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome
Andrew E. Teschendorff, Tariq Enver
Nature Communications (2017) Vol. 8, Iss. 1
Open Access | Times Cited: 296

Showing 1-25 of 296 citing articles:

Single-cell transcriptional diversity is a hallmark of developmental potential
Gunsagar S. Gulati, Shaheen S. Sikandar, Daniel J. Wesche, et al.
Science (2020) Vol. 367, Iss. 6476, pp. 405-411
Open Access | Times Cited: 956
A Comprehensive Roadmap of Murine Spermatogenesis Defined by Single-Cell RNA-Seq
Christopher Daniel Green, Qianyi Ma, Gabriel Manske, et al.
Developmental Cell (2018) Vol. 46, Iss. 5, pp. 651-667.e10
Open Access | Times Cited: 438
Statistical and integrative system-level analysis of DNA methylation data
Andrew E. Teschendorff, Caroline L. Relton
Nature Reviews Genetics (2017) Vol. 19, Iss. 3, pp. 129-147
Open Access | Times Cited: 272
Genetic and non-genetic clonal diversity in cancer evolution
James R. Black, Nicholas McGranahan
Nature reviews. Cancer (2021) Vol. 21, Iss. 6, pp. 379-392
Closed Access | Times Cited: 227
Single-cell transcriptomic analyses provide insights into the developmental origins of neuroblastoma
Selina Jansky, Ashwini Kumar Sharma, Verena Körber, et al.
Nature Genetics (2021) Vol. 53, Iss. 5, pp. 683-693
Closed Access | Times Cited: 227
Single-Cell RNA Sequencing of Human, Macaque, and Mouse Testes Uncovers Conserved and Divergent Features of Mammalian Spermatogenesis
Adrienne Niederriter Shami, Xianing Zheng, Sarah Munyoki, et al.
Developmental Cell (2020) Vol. 54, Iss. 4, pp. 529-547.e12
Open Access | Times Cited: 223
Understanding tumor ecosystems by single-cell sequencing: promises and limitations
Xianwen Ren, Boxi Kang, Zemin Zhang
Genome biology (2018) Vol. 19, Iss. 1
Open Access | Times Cited: 197
Defining Epidermal Basal Cell States during Skin Homeostasis and Wound Healing Using Single-Cell Transcriptomics
Daniel Haensel, Suoqin Jin, Peng Sun, et al.
Cell Reports (2020) Vol. 30, Iss. 11, pp. 3932-3947.e6
Open Access | Times Cited: 192
Computational network biology: Data, models, and applications
Chuang Liu, Yifang Ma, Jing Zhao, et al.
Physics Reports (2019) Vol. 846, pp. 1-66
Open Access | Times Cited: 182
Epigenetics as a mediator of plasticity in cancer
Andrew P. Feinberg, Andre Levchenko
Science (2023) Vol. 379, Iss. 6632
Open Access | Times Cited: 164
Single cell transcriptomics of human epidermis identifies basal stem cell transition states
Shuxiong Wang, Michael L. Drummond, Christian F. Guerrero‐Juarez, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 160
Pharmaco-proteogenomic characterization of liver cancer organoids for precision oncology
Shuyi Ji, Feng Li, Zile Fu, et al.
Science Translational Medicine (2023) Vol. 15, Iss. 706
Closed Access | Times Cited: 62
An oncogenic phenoscape of colonic stem cell polarization
Xiao Qin, Ferran Cardoso Rodriguez, Jahangir Sufi, et al.
Cell (2023) Vol. 186, Iss. 25, pp. 5554-5568.e18
Open Access | Times Cited: 45
Single-cell senescence identification reveals senescence heterogeneity, trajectory, and modulators
Wanyu Tao, Zhengqing Yu, Jing‐Dong J. Han
Cell Metabolism (2024) Vol. 36, Iss. 5, pp. 1126-1143.e5
Closed Access | Times Cited: 44
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: 34
Mapping single-cell developmental potential in health and disease with interpretable deep learning
Minji Kang, José Juan Almagro Armenteros, Gunsagar S. Gulati, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 31
Isthmus progenitor cells contribute to homeostatic cellular turnover and support regeneration following intestinal injury
Ermanno Malagola, Alessandro Vasciaveo, Yosuke Ochiai, et al.
Cell (2024) Vol. 187, Iss. 12, pp. 3056-3071.e17
Closed Access | Times Cited: 31
Pathway level subtyping identifies a slow-cycling biological phenotype associated with poor clinical outcomes in colorectal cancer
Sudhir B. Malla, Ryan M. Byrne, Maxime W. Lafarge, et al.
Nature Genetics (2024) Vol. 56, Iss. 3, pp. 458-472
Open Access | Times Cited: 25
Genetic basis of plasticity in plants
Roosa A. E. Laitinen, Zoran Nikoloski
Journal of Experimental Botany (2018) Vol. 70, Iss. 3, pp. 739-745
Open Access | Times Cited: 133
Arterial Sca1+ Vascular Stem Cells Generate De Novo Smooth Muscle for Artery Repair and Regeneration
Juan Tang, Haixiao Wang, Xiuzhen Huang, et al.
Cell stem cell (2019) Vol. 26, Iss. 1, pp. 81-96.e4
Open Access | Times Cited: 131
Single-cell transcriptomics identifies a distinct luminal progenitor cell type in distal prostate invagination tips
Wangxin Guo, Lin Li, Juan He, et al.
Nature Genetics (2020) Vol. 52, Iss. 9, pp. 908-918
Open Access | Times Cited: 115
Haematopoiesis in the era of advanced single-cell technologies
Sten Eirik W. Jacobsen, Claus Nerlov
Nature Cell Biology (2018) Vol. 21, Iss. 1, pp. 2-8
Closed Access | Times Cited: 108
scEpath: energy landscape-based inference of transition probabilities and cellular trajectories from single-cell transcriptomic data
Suoqin Jin, Adam L. MacLean, Tao Peng, et al.
Bioinformatics (2018) Vol. 34, Iss. 12, pp. 2077-2086
Open Access | Times Cited: 102
Statistical mechanics meets single-cell biology
Andrew E. Teschendorff, Andrew P. Feinberg
Nature Reviews Genetics (2021) Vol. 22, Iss. 7, pp. 459-476
Open Access | Times Cited: 94
A comparison of single-cell trajectory inference methods: towards more accurate and robust tools
Wouter Saelens, Robrecht Cannoodt, Helena Todorov, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Open Access | Times Cited: 92
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