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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 analysis targeting the proteome
Mahmoud Labib, Shana O. Kelley
Nature Reviews Chemistry (2020) Vol. 4, Iss. 3, pp. 143-158
Closed Access | Times Cited: 186

Showing 1-25 of 186 citing articles:

Joint probabilistic modeling of single-cell multi-omic data with totalVI
Adam Gayoso, Zoë Steier, Romain Lopez, et al.
Nature Methods (2021) Vol. 18, Iss. 3, pp. 272-282
Open Access | Times Cited: 351
Quantitative single-cell proteomics as a tool to characterize cellular hierarchies
Erwin M. Schoof, Benjamin Furtwängler, Nil Üresin, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 277
The Unfolded Protein Response: Detecting and Responding to Fluctuations in the Protein-Folding Capacity of the Endoplasmic Reticulum
G. Elif Karagöz, Diego Acosta‐Alvear, Peter Walter
Cold Spring Harbor Perspectives in Biology (2019) Vol. 11, Iss. 9, pp. a033886-a033886
Open Access | Times Cited: 257
Spatially Resolved Mass Spectrometry at the Single Cell: Recent Innovations in Proteomics and Metabolomics
Michael J. Taylor, Jessica Lukowski, Christopher Anderton
Journal of the American Society for Mass Spectrometry (2021) Vol. 32, Iss. 4, pp. 872-894
Open Access | Times Cited: 221
Single-cell proteomics enabled by next-generation sequencing or mass spectrometry
Hayley M. Bennett, William Stephenson, Christopher M. Rose, et al.
Nature Methods (2023) Vol. 20, Iss. 3, pp. 363-374
Closed Access | Times Cited: 159
Streamlined single-cell proteomics by an integrated microfluidic chip and data-independent acquisition mass spectrometry
Sofani Tafesse Gebreyesus, Asad Ali Siyal, Reta Birhanu Kitata, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 152
Understudied proteins: opportunities and challenges for functional proteomics
Georg Kustatscher, Tom Collins, Anne‐Claude Gingras, et al.
Nature Methods (2022) Vol. 19, Iss. 7, pp. 774-779
Open Access | Times Cited: 149
High-throughput and high-efficiency sample preparation for single-cell proteomics using a nested nanowell chip
Jongmin Jacob Woo, Sarah Williams, Lye Meng Markillie, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 129
Adipose tissue at single-cell resolution
Babukrishna Maniyadath, Qianbin Zhang, Rana K. Gupta, et al.
Cell Metabolism (2023) Vol. 35, Iss. 3, pp. 386-413
Closed Access | Times Cited: 77
Enhanced sensitivity and scalability with a Chip-Tip workflow enables deep single-cell proteomics
Zilu Ye, Pierre Sabatier, Leander van der Hoeven, et al.
Nature Methods (2025)
Open Access | Times Cited: 1
Patch-seq: Past, Present, and Future
Marcela Lipovsek, Cédric Bardy, Cathryn R. Cadwell, et al.
Journal of Neuroscience (2021) Vol. 41, Iss. 5, pp. 937-946
Open Access | Times Cited: 86
Recent advances in proteomics and metabolomics in plants
Shijuan Yan, Ruchika Bhawal, Zhibin Yin, et al.
Molecular Horticulture (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 58
Single-cell mass spectrometry
Mohammad Tajik, Mahroo Baharfar, William A. Donald
Trends in biotechnology (2022) Vol. 40, Iss. 11, pp. 1374-1392
Closed Access | Times Cited: 55
Recent advances in the field of single-cell proteomics
Valdemaras Petrosius, Erwin M. Schoof
Translational Oncology (2022) Vol. 27, pp. 101556-101556
Open Access | Times Cited: 47
Inferring neuron-neuron communications from single-cell transcriptomics through NeuronChat
Wei Zhao, Kevin G. Johnston, Honglei Ren, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 34
ANPELA: Significantly Enhanced Quantification Tool for Cytometry‐Based Single‐Cell Proteomics
Ying Zhang, Huaicheng Sun, Xichen Lian, et al.
Advanced Science (2023) Vol. 10, Iss. 15
Open Access | Times Cited: 33
Single-cell lipidomics enabled by dual-polarity ionization and ion mobility-mass spectrometry imaging
Hua Zhang, Yuan Liu, Lauren Fields, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 32
Global and tissue-specific aging effects on murine proteomes
Gregory R. Keele, Jigang Zhang, John Szpyt, et al.
Cell Reports (2023) Vol. 42, Iss. 7, pp. 112715-112715
Open Access | Times Cited: 28
Typing of cancer cells by microswimmer based on Co-Fe-MOF for one-step simultaneously detect multiple biomarkers
Ya Zhang, Xiaofang Liu, Ning Li, et al.
Biosensors and Bioelectronics (2023) Vol. 230, pp. 115263-115263
Closed Access | Times Cited: 25
High-throughput and scalable single cell proteomics identifies over 5000 proteins per cell
Zilu Ye, Pierre Sabatier, Leander van der Hoeven, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 21
scmFormer Integrates Large‐Scale Single‐Cell Proteomics and Transcriptomics Data by Multi‐Task Transformer
Jing Xu, De‐Shuang Huang, Xiujun Zhang
Advanced Science (2024) Vol. 11, Iss. 19
Open Access | Times Cited: 8
From Genotype to Phenotype: Raman Spectroscopy and Machine Learning for Label-Free Single-Cell Analysis
Yirui Zhang, Kai Chang, Babatunde Ogunlade, et al.
ACS Nano (2024) Vol. 18, Iss. 28, pp. 18101-18117
Closed Access | Times Cited: 8
Single-cell omics: experimental workflow, data analyses and applications
Fengying Sun, Haoyan Li, Dongqing Sun, et al.
Science China Life Sciences (2024)
Closed Access | Times Cited: 8
Optically Actuated Soft Microrobot Family for Single‐Cell Manipulation
Gergely T. Iványi, Botond Nemes, Ilona Gróf, et al.
Advanced Materials (2024) Vol. 36, Iss. 32
Open Access | Times Cited: 7
Deep Learning in Single-cell Analysis
Dylan Molho, Jiayuan Ding, Wenzhuo Tang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 3, pp. 1-62
Open Access | Times Cited: 6
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