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:

Scrublet: Computational Identification of Cell Doublets in Single-Cell Transcriptomic Data
Samuel L. Wolock, Romain Lopez, Allon M. Klein
Cell Systems (2019) Vol. 8, Iss. 4, pp. 281-291.e9
Open Access | Times Cited: 1881

Showing 1-25 of 1881 citing articles:

Comprehensive Integration of Single-Cell Data
Tim Stuart, Andrew Butler, Paul Hoffman, et al.
Cell (2019) Vol. 177, Iss. 7, pp. 1888-1902.e21
Open Access | Times Cited: 12962

Integrated analysis of multimodal single-cell data
Yuhan Hao, Stephanie Hao, Erica Andersen‐Nissen, et al.
Cell (2021) Vol. 184, Iss. 13, pp. 3573-3587.e29
Open Access | Times Cited: 10491

The single-cell transcriptional landscape of mammalian organogenesis
Junyue Cao, Malte Spielmann, Xiaojie Qiu, et al.
Nature (2019) Vol. 566, Iss. 7745, pp. 496-502
Open Access | Times Cited: 3353

DoubletFinder: Doublet Detection in Single-Cell RNA Sequencing Data Using Artificial Nearest Neighbors
Christopher S. McGinnis, Lyndsay M. Murrow, Zev J. Gartner
Cell Systems (2019) Vol. 8, Iss. 4, pp. 329-337.e4
Open Access | Times Cited: 2815

Current best practices in single‐cell RNA‐seq analysis: a tutorial
Malte D. Luecken, Fabian J. Theis
Molecular Systems Biology (2019) Vol. 15, Iss. 6
Open Access | Times Cited: 1739

Cells of the adult human heart
Monika Litviňuková, Carlos Talavera‐López, Henrike Maatz, et al.
Nature (2020) Vol. 588, Iss. 7838, pp. 466-472
Open Access | Times Cited: 1295

Single-Cell Transcriptomics of Human and Mouse Lung Cancers Reveals Conserved Myeloid Populations across Individuals and Species
Rapolas Žilionis, Camilla Engblom, Christina Pfirschke, et al.
Immunity (2019) Vol. 50, Iss. 5, pp. 1317-1334.e10
Open Access | Times Cited: 1187

Single-Cell Analyses Inform Mechanisms of Myeloid-Targeted Therapies in Colon Cancer
Lei Zhang, Ziyi Li, Katarzyna M. Skrzypczynska, et al.
Cell (2020) Vol. 181, Iss. 2, pp. 442-459.e29
Open Access | Times Cited: 1131

Non-neuronal expression of SARS-CoV-2 entry genes in the olfactory system suggests mechanisms underlying COVID-19-associated anosmia
David H. Brann, Tatsuya Tsukahara, Caleb Weinreb, et al.
Science Advances (2020) Vol. 6, Iss. 31
Open Access | Times Cited: 1130

SoupX removes ambient RNA contamination from droplet-based single-cell RNA sequencing data
Matthew D. Young, Sam Behjati
GigaScience (2020) Vol. 9, Iss. 12
Open Access | Times Cited: 1051

A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells
Sijin Cheng, Ziyi Li, Ranran Gao, et al.
Cell (2021) Vol. 184, Iss. 3, pp. 792-809.e23
Open Access | Times Cited: 989

ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis
Jeffrey M. Granja, M. Ryan Corces, Sarah E. Pierce, et al.
Nature Genetics (2021) Vol. 53, Iss. 3, pp. 403-411
Open Access | Times Cited: 977

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

Multiple early factors anticipate post-acute COVID-19 sequelae
Yapeng Su, Dan Yuan, Daniel Chen, et al.
Cell (2022) Vol. 185, Iss. 5, pp. 881-895.e20
Open Access | Times Cited: 918

Pan-cancer single-cell landscape of tumor-infiltrating T cells
Liangtao Zheng, Shishang Qin, Wen Si, et al.
Science (2021) Vol. 374, Iss. 6574
Closed Access | Times Cited: 865

Individual brain organoids reproducibly form cell diversity of the human cerebral cortex
Silvia Velasco, Amanda J. Kedaigle, Sean Simmons, et al.
Nature (2019) Vol. 570, Iss. 7762, pp. 523-527
Open Access | Times Cited: 863

A cellular census of human lungs identifies novel cell states in health and in asthma
Felipe A. Vieira Braga, Gozde Kar, Marijn Berg, et al.
Nature Medicine (2019) Vol. 25, Iss. 7, pp. 1153-1163
Open Access | Times Cited: 802

Disease-associated astrocytes in Alzheimer’s disease and aging
Naomi Habib, Cristin McCabe, Sedi Medina, et al.
Nature Neuroscience (2020) Vol. 23, Iss. 6, pp. 701-706
Open Access | Times Cited: 740

COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas
Xianwen Ren, Wen Wen, Xiaoying Fan, et al.
Cell (2021) Vol. 184, Iss. 7, pp. 1895-1913.e19
Open Access | Times Cited: 729

Cell2location maps fine-grained cell types in spatial transcriptomics
Vitalii Kleshchevnikov, Artem Shmatko, Emma Dann, et al.
Nature Biotechnology (2022) Vol. 40, Iss. 5, pp. 661-671
Closed Access | Times Cited: 705

Circuits between infected macrophages and T cells in SARS-CoV-2 pneumonia
Rogan A. Grant, Luisa Morales‐Nebreda, Nikolay S. Markov, et al.
Nature (2021) Vol. 590, Iss. 7847, pp. 635-641
Open Access | Times Cited: 671

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: 620

A molecular single-cell lung atlas of lethal COVID-19
Johannes C. Melms, Jana Biermann, Huachao Huang, et al.
Nature (2021) Vol. 595, Iss. 7865, pp. 114-119
Open Access | Times Cited: 595

A pan-cancer blueprint of the heterogeneous tumor microenvironment revealed by single-cell profiling
Junbin Qian, Siel Olbrecht, Bram Boeckx, et al.
Cell Research (2020) Vol. 30, Iss. 9, pp. 745-762
Open Access | Times Cited: 590

Cross-tissue immune cell analysis reveals tissue-specific features in humans
Cecilia Domínguez Conde, Chuan Xu, Lorna B. Jarvis, et al.
Science (2022) Vol. 376, Iss. 6594
Open Access | Times Cited: 589

Page 1 - Next Page

Scroll to top