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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:

Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility of Results
Roland Bruderer, Oliver M. Bernhardt, Tejas Gandhi, et al.
Molecular & Cellular Proteomics (2017) Vol. 16, Iss. 12, pp. 2296-2309
Open Access | Times Cited: 445

Showing 1-25 of 445 citing articles:

DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput
Vadim Demichev, Christoph B. Messner, Spyros I. Vernardis, et al.
Nature Methods (2019) Vol. 17, Iss. 1, pp. 41-44
Open Access | Times Cited: 1703
Data‐independent acquisition‐based SWATH ‐ MS for quantitative proteomics: a tutorial
Christina Ludwig, Ludovic Gillet, George Rosenberger, et al.
Molecular Systems Biology (2018) Vol. 14, Iss. 8
Open Access | Times Cited: 875
Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning
Siegfried Gessulat, Tobias Schmidt, Daniel P. Zolg, et al.
Nature Methods (2019) Vol. 16, Iss. 6, pp. 509-518
Closed Access | Times Cited: 761
diaPASEF: parallel accumulation–serial fragmentation combined with data-independent acquisition
Florian Meier, Andreas‐David Brunner, Max Frank, et al.
Nature Methods (2020) Vol. 17, Iss. 12, pp. 1229-1236
Open Access | Times Cited: 638
Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry
Brian C. Searle, Lindsay K. Pino, Jarrett D. Egertson, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 465
A Compact Quadrupole-Orbitrap Mass Spectrometer with FAIMS Interface Improves Proteome Coverage in Short LC Gradients
Dorte B. Bekker‐Jensen, Ana Martínez‐Val, Sophia Steigerwald, et al.
Molecular & Cellular Proteomics (2020) Vol. 19, Iss. 4, pp. 716-729
Open Access | Times Cited: 376
A Novel LC System Embeds Analytes in Pre-formed Gradients for Rapid, Ultra-robust Proteomics
Nicolai Bache, Philipp E. Geyer, Dorte B. Bekker‐Jensen, et al.
Molecular & Cellular Proteomics (2018) Vol. 17, Iss. 11, pp. 2284-2296
Open Access | Times Cited: 353
BoxCar acquisition method enables single-shot proteomics at a depth of 10,000 proteins in 100 minutes
Florian Meier, Philipp E. Geyer, Sebastian Virreira Winter, et al.
Nature Methods (2018) Vol. 15, Iss. 6, pp. 440-448
Open Access | Times Cited: 351
Proteogenomic insights into the biology and treatment of HPV-negative head and neck squamous cell carcinoma
Chen Huang, Lijun Chen, Sara R. Savage, et al.
Cancer Cell (2021) Vol. 39, Iss. 3, pp. 361-379.e16
Open Access | Times Cited: 273
Drug Screening in Human PSC-Cardiac Organoids Identifies Pro-proliferative Compounds Acting via the Mevalonate Pathway
Richard J. Mills, Benjamin L. Parker, Gregory A. Quaife-Ryan, et al.
Cell stem cell (2019) Vol. 24, Iss. 6, pp. 895-907.e6
Open Access | Times Cited: 253
High-quality MS/MS spectrum prediction for data-dependent and data-independent acquisition data analysis
Shivani Tiwary, Roie Levy, Petra Gutenbrunner, et al.
Nature Methods (2019) Vol. 16, Iss. 6, pp. 519-525
Closed Access | Times Cited: 252
Ultra-fast proteomics with Scanning SWATH
Christoph B. Messner, Vadim Demichev, Nic Bloomfield, et al.
Nature Biotechnology (2021) Vol. 39, Iss. 7, pp. 846-854
Open Access | Times Cited: 235
Acquiring and Analyzing Data Independent Acquisition Proteomics Experiments without Spectrum Libraries
Lindsay K. Pino, Seth Just, Michael J. MacCoss, et al.
Molecular & Cellular Proteomics (2020) Vol. 19, Iss. 7, pp. 1088-1103
Open Access | Times Cited: 226
Generating high quality libraries for DIA MS with empirically corrected peptide predictions
Brian C. Searle, Kristian E. Swearingen, Christopher A. Barnes, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 221
Proteome profiling in cerebrospinal fluid reveals novel biomarkers of Alzheimer's disease
Jakob M. Bader, Philipp E. Geyer, Johannes Müller, et al.
Molecular Systems Biology (2020) Vol. 16, Iss. 6
Open Access | Times Cited: 220
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
In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics
Yi Yang, Xiaohui Liu, Chengpin Shen, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 195
Metastatic-niche labelling reveals parenchymal cells with stem features
Luigi Ombrato, Emma Nolan, Ivana Kurelac, et al.
Nature (2019) Vol. 572, Iss. 7771, pp. 603-608
Open Access | Times Cited: 172
Quantitative Mass Spectrometry-Based Proteomics: An Overview
Svitlana Rozanova, Katalin Barkovits, Miroslav Nikolov, et al.
Methods in molecular biology (2021), pp. 85-116
Open Access | Times Cited: 171
DeepLC can predict retention times for peptides that carry as-yet unseen modifications
Robbin Bouwmeester, Ralf Gabriels, Niels Hulstaert, et al.
Nature Methods (2021) Vol. 18, Iss. 11, pp. 1363-1369
Open Access | Times Cited: 167
Analysis of 1508 Plasma Samples by Capillary-Flow Data-Independent Acquisition Profiles Proteomics of Weight Loss and Maintenance
Roland Bruderer, Jan Muntel, Sebastian Müller, et al.
Molecular & Cellular Proteomics (2019) Vol. 18, Iss. 6, pp. 1242-1254
Open Access | Times Cited: 165
A streamlined mass spectrometry–based proteomics workflow for large‐scale FFPE tissue analysis
Fabian Coscia, Sophia Doll, Jacob Mathias Bech, et al.
The Journal of Pathology (2020) Vol. 251, Iss. 1, pp. 100-112
Open Access | Times Cited: 147
Temporal profiling of the breast tumour microenvironment reveals collagen XII as a driver of metastasis
Michael Papanicolaou, Amelia L. Parker, Michelle Yam, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 129
Protein Contaminants Matter: Building Universal Protein Contaminant Libraries for DDA and DIA Proteomics
Ashley M. Frankenfield, Jiawei Ni, Mustafa Ahmed, et al.
Journal of Proteome Research (2022) Vol. 21, Iss. 9, pp. 2104-2113
Open Access | Times Cited: 128
Rapid and In-Depth Coverage of the (Phospho-)Proteome With Deep Libraries and Optimal Window Design for dia-PASEF
Patricia Skowronek, Marvin Thielert, Eugenia Voytik, et al.
Molecular & Cellular Proteomics (2022) Vol. 21, Iss. 9, pp. 100279-100279
Open Access | Times Cited: 124
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