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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:

Hybrid Spectral Library Combining DIA-MS Data and a Targeted Virtual Library Substantially Deepens the Proteome Coverage
Ronghui Lou, Pan Tang, Kang Ding, et al.
iScience (2020) Vol. 23, Iss. 3, pp. 100903-100903
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

MaxDIA enables library-based and library-free data-independent acquisition proteomics
Pavel Sinitcyn, Hamid Hamzeiy, Favio Salinas Soto, et al.
Nature Biotechnology (2021) Vol. 39, Iss. 12, pp. 1563-1573
Open Access | Times Cited: 196
Benchmarking of analysis strategies for data-independent acquisition proteomics using a large-scale dataset comprising inter-patient heterogeneity
Klemens Fröhlich, Eva Brombacher, Matthias Fahrner, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 71
Benchmarking commonly used software suites and analysis workflows for DIA proteomics and phosphoproteomics
Ronghui Lou, Ye Cao, Shanshan Li, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 67
Acquisition and Analysis of DIA-Based Proteomic Data: A Comprehensive Survey in 2023
Ronghui Lou, Wenqing Shui
Molecular & Cellular Proteomics (2024) Vol. 23, Iss. 2, pp. 100712-100712
Open Access | Times Cited: 37
Deep Learning in Proteomics
Bo Wen, Wen‐Feng Zeng, Yuxing Liao, et al.
PROTEOMICS (2020) Vol. 20, Iss. 21-22
Open Access | Times Cited: 128
Recent Developments in Data Independent Acquisition (DIA) Mass Spectrometry: Application of Quantitative Analysis of the Brain Proteome
Ka Wan Li, Miguel A. Gonzalez‐Lozano, Frank Koopmans, et al.
Frontiers in Molecular Neuroscience (2020) Vol. 13
Open Access | Times Cited: 80
Deep learning neural network tools for proteomics
Jesse G. Meyer
Cell Reports Methods (2021) Vol. 1, Iss. 2, pp. 100003-100003
Open Access | Times Cited: 76
Prediction of peptide mass spectral libraries with machine learning
Jürgen Cox
Nature Biotechnology (2022) Vol. 41, Iss. 1, pp. 33-43
Closed Access | Times Cited: 68
DeepPhospho accelerates DIA phosphoproteome profiling through in silico library generation
Ronghui Lou, Weizhen Liu, Rongjie Li, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 53
A microfluidics-enabled automated workflow of sample preparation for MS-based immunopeptidomics
Xiaokang Li, Hui Song Pak, Florian Huber, et al.
Cell Reports Methods (2023) Vol. 3, Iss. 6, pp. 100479-100479
Open Access | Times Cited: 17
pDeep3: Toward More Accurate Spectrum Prediction with Fast Few-Shot Learning
Ching Tarn, Wen‐Feng Zeng
Analytical Chemistry (2021) Vol. 93, Iss. 14, pp. 5815-5822
Open Access | Times Cited: 39
Robust, Precise, and Deep Proteome Profiling Using a Small Mass Range and Narrow Window Data-Independent-Acquisition Scheme
Klemens Fröhlich, Regula Furrer, Christian Schori, et al.
Journal of Proteome Research (2024) Vol. 23, Iss. 3, pp. 1028-1038
Open Access | Times Cited: 5
Mass Spectrometry-Based Proteomics Analysis Unveils PTPRS Inhibits Proliferation and Inflammatory Response of Keratinocytes in Psoriasis
Xuyu Zheng, Cui Zhou, Yulian Hu, et al.
Inflammation (2024)
Closed Access | Times Cited: 3
Use of Hybrid Data-Dependent and -Independent Acquisition Spectral Libraries Empowers Dual-Proteome Profiling
Patrick J. Willems, Ursula Fels, An Staes, et al.
Journal of Proteome Research (2021) Vol. 20, Iss. 2, pp. 1165-1177
Open Access | Times Cited: 21
Multiregional profiling of the brain transmembrane proteome uncovers novel regulators of depression
Shanshan Li, Huoqing Luo, Ronghui Lou, et al.
Science Advances (2021) Vol. 7, Iss. 30
Open Access | Times Cited: 21
Review of Liquid Chromatography-Mass Spectrometry-Based Proteomic Analyses of Body Fluids to Diagnose Infectious Diseases
Hayoung Lee, Seung Il Kim
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 4, pp. 2187-2187
Open Access | Times Cited: 14
Optimizing data‐independent acquisition (DIA) spectral library workflows for plasma proteomics studies
Shawn J. Rice, Chandra P. Belani
PROTEOMICS (2022) Vol. 22, Iss. 17
Open Access | Times Cited: 14
A crustacean neuropeptide spectral library for data‐independent acquisition (DIA) mass spectrometry applications
Lauren Fields, M Ma, Kellen DeLaney, et al.
PROTEOMICS (2024) Vol. 24, Iss. 15
Open Access | Times Cited: 2
Assessment of a 60-Biomarker Health Surveillance Panel (HSP) on Whole Blood from Remote Sampling Devices by Targeted LC/MRM-MS and Discovery DIA-MS Analysis
Stephen A. Whelan, Nathan Hendricks, Zachary Dwight, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 29, pp. 11007-11018
Open Access | Times Cited: 6
Prioritize biologically relevant ions for data-independent acquisition (BRI-DIA) in LC–MS/MS-based lipidomics analysis
Likun Duan, Grace Scheidemantle, Mareca Lodge, et al.
Metabolomics (2022) Vol. 18, Iss. 8
Closed Access | Times Cited: 9
Investigation of Effects of the Spectral Library on Analysis of diaPASEF Data
Chengwen Wen, Guohong Gan, Xu Xiao, et al.
Journal of Proteome Research (2021) Vol. 21, Iss. 2, pp. 507-518
Closed Access | Times Cited: 12
Advanced mass spectrometry-based methods for protein molecular-structural biologists
Joanna Bons, Jacob Rose, Amy O’Broin, et al.
Elsevier eBooks (2022), pp. 311-326
Closed Access | Times Cited: 8
Computation-assisted targeted proteomics of alternative splicing protein isoforms in the human heart
Yu Han, Silas D. Wood, Julianna M. Wright, et al.
Journal of Molecular and Cellular Cardiology (2021) Vol. 154, pp. 92-96
Open Access | Times Cited: 11
Narrow Precursor Mass Range for DIA–MS Enhances Protein Identification and Quantification in Arabidopsis
Huoming Zhang, Dalila Bensaddek
Life (2021) Vol. 11, Iss. 9, pp. 982-982
Open Access | Times Cited: 11
Data-Independent Acquisition Proteomics Unravels the Effects of Iron Ions on Coronatine Synthesis in Pseudomonas syringae pv. tomato DC3000
Yan He, Sha Yu, Shaojin Liu, et al.
Frontiers in Microbiology (2020) Vol. 11
Open Access | Times Cited: 9
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