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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:

One-stop analysis of DIA proteomics data using MSFragger-DIA and FragPipe computational platform
Fengchao Yu, Guo Ci Teo, Andy T. Kong, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 10

Showing 10 citing articles:

MS-Based Proteomics of Body Fluids: The End of the Beginning
Jakob M. Bader, Vincent Albrecht, Matthias Mann
Molecular & Cellular Proteomics (2023) Vol. 22, Iss. 7, pp. 100577-100577
Open Access | Times Cited: 72
Elucidating the cellular determinants of targeted membrane protein degradation by lysosome-targeting chimeras
Green Ahn, Nicholas M. Riley, Roarke A. Kamber, et al.
Science (2023) Vol. 382, Iss. 6668
Open Access | Times Cited: 66
QuantUMS: uncertainty minimisation enables confident quantification in proteomics
Franziska Kistner, Justus L. Großmann, Ludwig Sinn, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 10
Evaluation of DDA Library-Free Strategies for Phosphoproteomics and Ubiquitinomics Data-Independent Acquisition Data
Chengwen Wen, Xiurong Wu, Guanzhong Lin, et al.
Journal of Proteome Research (2023) Vol. 22, Iss. 7, pp. 2232-2245
Closed Access | Times Cited: 8
Pan-Cancer Proteomics Analysis to Identify Tumor-Enriched and Highly Expressed Cell Surface Antigens as Potential Targets for Cancer Therapeutics
Jixin Wang, Wen Yu, Rachel D’Anna, et al.
Molecular & Cellular Proteomics (2023) Vol. 22, Iss. 9, pp. 100626-100626
Open Access | Times Cited: 8
Generalized precursor prediction boosts identification rates and accuracy in mass spectrometry based proteomics
Aaron Scott, Christofer Karlsson, Tirthankar Mohanty, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 6
On the excessive use of coefficient of variation as a metric of quantitation quality in proteomics
Mark V. Ivanov, Leyla A. Garibova, Valeriy I. Postoenko, et al.
PROTEOMICS (2023) Vol. 24, Iss. 1-2
Closed Access | Times Cited: 4
A Cosine-Similarity-Based Deconvolution Method for Analyzing Data-Independent Acquisition Mass Spectrometry Data
Xiang Zhang, Ruitao Wu, Zhijian Qu
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 5969-5969
Open Access | Times Cited: 2
The fitness cost of spurious phosphorylation
David Bradley, Alexander Hogrebe, Rohan Dandage, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Pan-cancer Proteomics Analysis to Identify Tumor-Enriched and Highly Expressed Cell Surface Antigens as Potential Targets for Cancer Therapeutics
Jixin Wang, Wen Yu, Rachel D’Anna, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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