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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:

ProteomicsML: An Online Platform for Community-Curated Data sets and Tutorials for Machine Learning in Proteomics
Tobias Greisager Rehfeldt, Ralf Gabriels, Robbin Bouwmeester, et al.
Journal of Proteome Research (2023) Vol. 22, Iss. 2, pp. 632-636
Open Access | Times Cited: 14

Showing 14 citing articles:

Toward an Integrated Machine Learning Model of a Proteomics Experiment
Benjamin A. Neely, Viktoria Dorfer, Lennart Martens, et al.
Journal of Proteome Research (2023) Vol. 22, Iss. 3, pp. 681-696
Open Access | Times Cited: 46
The PRIDE database at 20 years: 2025 update
Yasset Pérez‐Riverol, Chakradhar Bandla, Deepti J Kundu, et al.
Nucleic Acids Research (2024) Vol. 53, Iss. D1, pp. D543-D553
Open Access | Times Cited: 23
Open‐source large language models in action: A bioinformatics chatbot for PRIDE database
Jingwen Bai, Selvakumar Kamatchinathan, Deepti J Kundu, et al.
PROTEOMICS (2024)
Open Access | Times Cited: 5
Recent Advances in Mass Spectrometry-Based Bottom-Up Proteomics
Cameron S. Movassaghi, Jie Sun, Yuming Jiang, et al.
Analytical Chemistry (2025)
Closed Access
Machine learning for the advancement of genome-scale metabolic modeling
Pritam Kundu, Satyajit Beura, Suman Mondal, et al.
Biotechnology Advances (2024) Vol. 74, pp. 108400-108400
Closed Access | Times Cited: 4
The Role of Clinical Glyco(proteo)mics in Precision Medicine
Yuri E. M. van der Burgt, Manfred Wuhrer
Molecular & Cellular Proteomics (2023) Vol. 22, Iss. 6, pp. 100565-100565
Open Access | Times Cited: 9
Machine Learning Strategies to Tackle Data Challenges in Mass Spectrometry-Based Proteomics
Ceder Dens, Charlotte Adams, Kris Laukens, et al.
Journal of the American Society for Mass Spectrometry (2024) Vol. 35, Iss. 9, pp. 2143-2155
Open Access | Times Cited: 2
Proteomic repository data submission, dissemination, and reuse: key messages
Yasset Pérez‐Riverol
Expert Review of Proteomics (2022) Vol. 19, Iss. 7-12, pp. 297-310
Open Access | Times Cited: 11
Machine learning strategies to tackle data challenges in mass spectrometry-based proteomics
Ceder Dens, Charlotte Adams, Kris Laukens, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Variability analysis of LC-MS experimental factors and their impact on machine learning
Tobias Greisager Rehfeldt, Konrad Krawczyk, Simon Gregersen, et al.
GigaScience (2022) Vol. 12
Open Access | Times Cited: 7
Attracting Computational Researchers to Proteomics
Alyssa A Nitz, Ansima R Mongane, Luke Squires, et al.
Journal of the American Society for Mass Spectrometry (2024) Vol. 35, Iss. 10, pp. 2544-2546
Open Access
Identification and Extraction of Biomarker Information
Amala Sreekumar Kavumkandathil, Tikam Chand Dakal, Abhijeet Berua, et al.
Elsevier eBooks (2024)
Closed Access
Variance Analysis of LC-MS Experimental Factors and Their Impact on Machine Learning
Tobias Greisager Rehfeldt, Konrad Krawczyk, Simon Gregersen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Test-Time Training for Deep MS/MS Spectrum Prediction Improves Peptide Identification
Jianbai Ye, Xiangnan He, Shujuan Wang, et al.
Journal of Proteome Research (2023) Vol. 23, Iss. 2, pp. 550-559
Closed Access
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