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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:

Fully Automated Sample Processing and Analysis Workflow for Low-Input Proteome Profiling
Yiran Liang, Hayden Acor, Michaela A. McCown, et al.
Analytical Chemistry (2020) Vol. 93, Iss. 3, pp. 1658-1666
Open Access | Times Cited: 102

Showing 1-25 of 102 citing articles:

Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbation
Andreas‐David Brunner, Marvin Thielert, Catherine G. Vasilopoulou, et al.
Molecular Systems Biology (2022) Vol. 18, Iss. 3
Open Access | Times Cited: 408
Multiplexed single-cell proteomics using SCoPE2
Aleksandra A. Petelski, Emily H Emmott, Andrew Leduc, et al.
Nature Protocols (2021) Vol. 16, Iss. 12, pp. 5398-5425
Open Access | Times Cited: 180
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: 156
Unbiased spatial proteomics with single-cell resolution in tissues
Andreas Mund, Andreas‐David Brunner, Matthias Mann
Molecular Cell (2022) Vol. 82, Iss. 12, pp. 2335-2349
Open Access | Times Cited: 152
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: 134
Initial recommendations for performing, benchmarking and reporting single-cell proteomics experiments
Laurent Gatto, Ruedi Aebersold, Jüergen Cox, et al.
Nature Methods (2023) Vol. 20, Iss. 3, pp. 375-386
Open Access | Times Cited: 103
Robust and Easy-to-Use One-Pot Workflow for Label-Free Single-Cell Proteomics
Manuel Matzinger, Elisabeth Müller, Gerhard Dürnberger, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 9, pp. 4435-4445
Open Access | Times Cited: 86
Robust dimethyl‐based multiplex‐DIA doubles single‐cell proteome depth via a reference channel
Marvin Thielert, Corazon Ericka Mae M. Itang, Constantin Ammar, et al.
Molecular Systems Biology (2023) Vol. 19, Iss. 9
Open Access | Times Cited: 55
Pick-up single-cell proteomic analysis for quantifying up to 3000 proteins in a Mammalian cell
Yu Wang, Zhi-Ying Guan, Shao-Wen Shi, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 24
Instrumentation at the Leading Edge of Proteomics
Trenton M. Peters-Clarke, Joshua J. Coon, Nicholas M. Riley
Analytical Chemistry (2024) Vol. 96, Iss. 20, pp. 7976-8010
Closed Access | Times Cited: 20
Challenging the Astral mass analyzer to quantify up to 5,300 proteins per single cell at unseen accuracy to uncover cellular heterogeneity
Julia A. Bubis, Tabiwang N. Arrey, Eugen Damoc, et al.
Nature Methods (2025)
Open Access | Times Cited: 3
Ultra-high sensitivity mass spectrometry quantifies single-cell proteome changes upon perturbation
Andreas‐David Brunner, Marvin Thielert, Catherine G. Vasilopoulou, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 89
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: 65
Ultrasensitive NanoLC-MS of Subnanogram Protein Samples Using Second Generation Micropillar Array LC Technology with Orbitrap Exploris 480 and FAIMS PRO
Karel Stejskal, Jeff Op De Beeck, Gerhard Dürnberger, et al.
Analytical Chemistry (2021) Vol. 93, Iss. 25, pp. 8704-8710
Open Access | Times Cited: 64
Scaling Up Single-Cell Proteomics
Nikolai Slavov
Molecular & Cellular Proteomics (2021) Vol. 21, Iss. 1, pp. 100179-100179
Open Access | Times Cited: 56
Label‐free single cell proteomics utilizing ultrafast LC and MS instrumentation: A valuable complementary technique to multiplexing
Manuel Matzinger, Rupert L. Mayer, Karl Mechtler
PROTEOMICS (2023) Vol. 23, Iss. 13-14
Open Access | Times Cited: 38
Modern automated sample preparation for the determination of organic compounds: A review on robotic and on-flow systems
Deyber Arley Vargas Medina, Edvaldo Vasconcelos Soares Maciel, Fernando Mauro Lanças
TrAC Trends in Analytical Chemistry (2023) Vol. 166, pp. 117171-117171
Closed Access | Times Cited: 36
Rapid, One-Step Sample Processing for Label-Free Single-Cell Proteomics
S. Madisyn Johnston, Kei G. I. Webber, Xiaofeng Xie, et al.
Journal of the American Society for Mass Spectrometry (2023) Vol. 34, Iss. 8, pp. 1701-1707
Closed Access | Times Cited: 30
Easy and Accessible Workflow for Label-Free Single-Cell Proteomics
Ximena Sanchez-Avila, Thy Truong, Xiaofeng Xie, et al.
Journal of the American Society for Mass Spectrometry (2023) Vol. 34, Iss. 10, pp. 2374-2380
Closed Access | Times Cited: 28
HyperSCP: Combining Isotopic and Isobaric Labeling for Higher Throughput Single-Cell Proteomics
Yiran Liang, Thy Truong, Aubrianna J. Saxton, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 20, pp. 8020-8027
Closed Access | Times Cited: 24
What’s new in single-cell proteomics
Thy Truong, Ryan Kelly
Current Opinion in Biotechnology (2024) Vol. 86, pp. 103077-103077
Closed Access | Times Cited: 11
Single‐cell proteomics differentiates Arabidopsis root cell types
Christian Montes, Jingyuan Zhang, Trevor M. Nolan, et al.
New Phytologist (2024) Vol. 244, Iss. 5, pp. 1750-1759
Open Access | Times Cited: 11
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: 10
Challenging the Astral™mass analyzer - up to 5300 proteins per single-cell at unseen quantitative accuracy to study cellular heterogeneity
Julia A. Bubis, Tabiwang N. Arrey, Eugen Damoc, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 9
Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP
Andrew Leduc, Luke Khoury, Joshua Cantlon, et al.
Nature Protocols (2024) Vol. 19, Iss. 12, pp. 3750-3776
Closed Access | Times Cited: 9
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