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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:

MS2DeepScore: a novel deep learning similarity measure to compare tandem mass spectra
Florian Huber, Sven van der Burg, Justin J. J. van der Hooft, et al.
Journal of Cheminformatics (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 111

Showing 1-25 of 111 citing articles:

Artificial intelligence for natural product drug discovery
Michael W. Mullowney, Katherine Duncan, Somayah S. Elsayed, et al.
Nature Reviews Drug Discovery (2023) Vol. 22, Iss. 11, pp. 895-916
Closed Access | Times Cited: 155
Advances in decomposing complex metabolite mixtures using substructure- and network-based computational metabolomics approaches
Mehdi A. Beniddir, Kyo Bin Kang, Grégory Genta‐Jouve, et al.
Natural Product Reports (2021) Vol. 38, Iss. 11, pp. 1967-1993
Open Access | Times Cited: 131
The changing metabolic landscape of bile acids – keys to metabolism and immune regulation
Ipsita Mohanty, Celeste Allaband, Helena Mannochio-Russo, et al.
Nature Reviews Gastroenterology & Hepatology (2024) Vol. 21, Iss. 7, pp. 493-516
Closed Access | Times Cited: 59
MS2Query: reliable and scalable MS2 mass spectra-based analogue search
Niek De Jonge, Joris J. R. Louwen, Elena Chekmeneva, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 48
Predicting glycan structure from tandem mass spectrometry via deep learning
James Urban, Chunsheng Jin, Kristina A. Thomsson, et al.
Nature Methods (2024) Vol. 21, Iss. 7, pp. 1206-1215
Open Access | Times Cited: 20
The critical role that spectral libraries play in capturing the metabolomics community knowledge
Wout Bittremieux, Mingxun Wang, Pieter C. Dorrestein
Metabolomics (2022) Vol. 18, Iss. 12
Open Access | Times Cited: 65
Good practices and recommendations for using and benchmarking computational metabolomics metabolite annotation tools
Niek De Jonge, Kevin Mildau, David Meijer, et al.
Metabolomics (2022) Vol. 18, Iss. 12
Open Access | Times Cited: 56
Advanced analytical and informatic strategies for metabolite annotation in untargeted metabolomics
Yuping Cai, Zhiwei Zhou, Zheng‐Jiang Zhu
TrAC Trends in Analytical Chemistry (2022) Vol. 158, pp. 116903-116903
Closed Access | Times Cited: 54
Comparison of Cosine, Modified Cosine, and Neutral Loss Based Spectrum Alignment For Discovery of Structurally Related Molecules
Wout Bittremieux, Robin Schmid, Florian Huber, et al.
Journal of the American Society for Mass Spectrometry (2022) Vol. 33, Iss. 9, pp. 1733-1744
Open Access | Times Cited: 45
Recent advances in mass spectrometry-based computational metabolomics
Timothy M. D. Ebbels, Justin J. J. van der Hooft, Haley Chatelaine, et al.
Current Opinion in Chemical Biology (2023) Vol. 74, pp. 102288-102288
Open Access | Times Cited: 31
Annotating metabolite mass spectra with domain-inspired chemical formula transformers
Samuel Goldman, Jeremy Wohlwend, Martin Stražar, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 9, pp. 965-979
Open Access | Times Cited: 30
Progress and challenges in structural, in situ and operando characterization of single-atom catalysts by X-ray based synchrotron radiation techniques
Yuhang Liu, Xiaozhi Su, Jie Ding, et al.
Chemical Society Reviews (2024)
Closed Access | Times Cited: 14
Approaches, Strategies and Procedures for Identifying Anti-Inflammatory Drug Lead Molecules from Natural Products
Tenzin Jamtsho, Karma Yeshi, Matthew J. Perry, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 3, pp. 283-283
Open Access | Times Cited: 11
IDSL_MINT: a deep learning framework to predict molecular fingerprints from mass spectra
‪Sadjad Fakouri Baygi‬, Dinesh Kumar Barupal
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 10
Deep Learning-Assisted Spectrum–Structure Correlation: State-of-the-Art and Perspectives
Xinyu Lu, Hao-Ping Wu, Hao Ma, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 20, pp. 7959-7975
Closed Access | Times Cited: 10
Machine learning–enhanced molecular network reveals global exposure to hundreds of unknown PFAS
X. Y. Wang, Nanyang Yu, Zhaoyu Jiao, et al.
Science Advances (2024) Vol. 10, Iss. 21
Open Access | Times Cited: 9
Rescoring Peptide Spectrum Matches: Boosting Proteomics Performance by Integrating Peptide Property Predictors into Peptide Identification
Mostafa Kalhor, Joel Lapin, Mario Picciani, et al.
Molecular & Cellular Proteomics (2024) Vol. 23, Iss. 7, pp. 100798-100798
Open Access | Times Cited: 9
Artificial Intelligence in Natural Product Drug Discovery: Current Applications and Future Perspectives
Amit Gangwal, Antonio Lavecchia
Journal of Medicinal Chemistry (2025)
Open Access | Times Cited: 1
AI/ML-driven advances in untargeted metabolomics and exposomics for biomedical applications
Lauren Petrick, Noam Shomron
Cell Reports Physical Science (2022) Vol. 3, Iss. 7, pp. 100978-100978
Open Access | Times Cited: 38
Artificial intelligence in microbial natural product drug discovery: current and emerging role
Vinodh J. Sahayasheela, Manendra B. Lankadasari, Vipin Mohan Dan, et al.
Natural Product Reports (2022) Vol. 39, Iss. 12, pp. 2215-2230
Open Access | Times Cited: 37
Tandem Mass Spectrometry Molecular Networking as a Powerful and Efficient Tool for Drug Metabolism Studies
Jun Sang Yu, Louis‐Félix Nothias, Mingxun Wang, et al.
Analytical Chemistry (2022) Vol. 94, Iss. 2, pp. 1456-1464
Closed Access | Times Cited: 32
Deep Learning-Based Method for Compound Identification in NMR Spectra of Mixtures
Weiwei Wei, Yuxuan Liao, Yufei Wang, et al.
Molecules (2022) Vol. 27, Iss. 12, pp. 3653-3653
Open Access | Times Cited: 30
Evaluating LC-HRMS metabolomics data processing software using FAIR principles for research software
Xinsong Du, Farhad Dastmalchi, Hao Ye, et al.
Metabolomics (2023) Vol. 19, Iss. 2
Closed Access | Times Cited: 19
Contrastive Learning-Based Embedder for the Representation of Tandem Mass Spectra
Hao Guo, Kebing Xue, Haiming Sun, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 20, pp. 7888-7896
Closed Access | Times Cited: 18
Enhanced correlation-based linking of biosynthetic gene clusters to their metabolic products through chemical class matching
Joris J. R. Louwen, Marnix H. Medema, Justin J. J. van der Hooft
Microbiome (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 17
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