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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:

CellMarker: a manually curated resource of cell markers in human and mouse
Xinxin Zhang, Yujia Lan, Jinyuan Xu, et al.
Nucleic Acids Research (2018) Vol. 47, Iss. D1, pp. D721-D728
Open Access | Times Cited: 1163

Showing 1-25 of 1163 citing articles:

clusterProfiler 4.0: A universal enrichment tool for interpreting omics data
Tianzhi Wu, Erqiang Hu, Shuangbin Xu, et al.
The Innovation (2021) Vol. 2, Iss. 3, pp. 100141-100141
Open Access | Times Cited: 8432
PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data
Oscar Franzén, Li‐Ming Gan, Johan Björkegren
Database (2019) Vol. 2019
Open Access | Times Cited: 1173
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: 670
ACE2 Expression in Pancreas May Cause Pancreatic Damage After SARS-CoV-2 Infection
Furong Liu, Xin Long, Bixiang Zhang, et al.
Clinical Gastroenterology and Hepatology (2020) Vol. 18, Iss. 9, pp. 2128-2130.e2
Open Access | Times Cited: 645
A comparison of automatic cell identification methods for single-cell RNA sequencing data
Tamim Abdelaal, Lieke Michielsen, Davy Cats, et al.
Genome biology (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 491
Supervised classification enables rapid annotation of cell atlases
Hannah A. Pliner, Jay Shendure, Cole Trapnell
Nature Methods (2019) Vol. 16, Iss. 10, pp. 983-986
Open Access | Times Cited: 425
Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data
Aleksandr Ianevski, Anil K Giri, Tero Aittokallio
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 406
B Cells and T Follicular Helper Cells Mediate Response to Checkpoint Inhibitors in High Mutation Burden Mouse Models of Breast Cancer
Daniel P. Hollern, Nuo Xu, Aatish Thennavan, et al.
Cell (2019) Vol. 179, Iss. 5, pp. 1191-1206.e21
Open Access | Times Cited: 391
Single-cell analysis reveals transcriptomic remodellings in distinct cell types that contribute to human prostate cancer progression
Sujun Chen, Guanghui Zhu, Yue Yang, et al.
Nature Cell Biology (2021) Vol. 23, Iss. 1, pp. 87-98
Closed Access | Times Cited: 318
Probabilistic cell-type assignment of single-cell RNA-seq for tumor microenvironment profiling
Allen W. Zhang, Ciara H. O’Flanagan, Elizabeth A. Chavez, et al.
Nature Methods (2019) Vol. 16, Iss. 10, pp. 1007-1015
Open Access | Times Cited: 316
Emergence of a High-Plasticity Cell State during Lung Cancer Evolution
Nemanja D. Marjanovic, Matan Hofree, Jason E. Chan, et al.
Cancer Cell (2020) Vol. 38, Iss. 2, pp. 229-246.e13
Open Access | Times Cited: 300
scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data
Fan Yang, Wenchuan Wang, Fang Wang, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 10, pp. 852-866
Open Access | Times Cited: 266
scCATCH: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
Xin Shao, Jie Liao, Xiaoyan Lu, et al.
iScience (2020) Vol. 23, Iss. 3, pp. 100882-100882
Open Access | Times Cited: 254
Cytomembrane nanovaccines show therapeutic effects by mimicking tumor cells and antigen presenting cells
Wen‐Long Liu, Mei‐Zhen Zou, Tao Liu, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 239
Single-cell RNA sequencing reveals a pro-invasive cancer-associated fibroblast subgroup associated with poor clinical outcomes in patients with gastric cancer
Xuechun Li, Zhao Sun, Gongxin Peng, et al.
Theranostics (2021) Vol. 12, Iss. 2, pp. 620-638
Open Access | Times Cited: 197
Creation of bladder assembloids mimicking tissue regeneration and cancer
Eunjee Kim, Seoyoung Choi, Byunghee Kang, et al.
Nature (2020) Vol. 588, Iss. 7839, pp. 664-669
Closed Access | Times Cited: 191
Self-renewing endometrial epithelial organoids of the human uterus
Harriet C. Fitzgerald, Pramod Dhakal, Susanta K. Behura, et al.
Proceedings of the National Academy of Sciences (2019) Vol. 116, Iss. 46, pp. 23132-23142
Open Access | Times Cited: 183
Automated methods for cell type annotation on scRNA-seq data
Giovanni Pasquini, Jesús Eduardo Rojo Arias, Patrick Schäfer, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 961-969
Open Access | Times Cited: 180
The allergy mediator histamine confers resistance to immunotherapy in cancer patients via activation of the macrophage histamine receptor H1
Hongzhong Li, Yi Xiao, Qin Li, et al.
Cancer Cell (2021) Vol. 40, Iss. 1, pp. 36-52.e9
Open Access | Times Cited: 175
Single-cell RNA sequencing reveals evolution of immune landscape during glioblastoma progression
Alan T. Yeo, Shruti Rawal, Bethany Delcuze, et al.
Nature Immunology (2022) Vol. 23, Iss. 6, pp. 971-984
Open Access | Times Cited: 173
Human microglial state dynamics in Alzheimer’s disease progression
Na Sun, Matheus B. Victor, Yongjin Park, et al.
Cell (2023) Vol. 186, Iss. 20, pp. 4386-4403.e29
Open Access | Times Cited: 170
Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods
Zoe A. Clarke, Tallulah Andrews, Jawairia Atif, et al.
Nature Protocols (2021) Vol. 16, Iss. 6, pp. 2749-2764
Open Access | Times Cited: 159
Single-Cell Transcriptome Analysis Reveals Intratumoral Heterogeneity in ccRCC, which Results in Different Clinical Outcomes
Junyi Hu, Zhaohui Chen, Lin Bao, et al.
Molecular Therapy (2020) Vol. 28, Iss. 7, pp. 1658-1672
Open Access | Times Cited: 144
Spatially resolved multi-omics highlights cell-specific metabolic remodeling and interactions in gastric cancer
Chenglong Sun, Anqiang Wang, Yanhe Zhou, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 132
Single cell transcriptomic analysis of murine lung development on hyperoxia-induced damage
Maria Hurskainen, Ivana Mižíková, David P. Cook, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 130
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