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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:

Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships
Florian Huber, Lars Ridder, Stefan Verhoeven, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 2, pp. e1008724-e1008724
Open Access | Times Cited: 158

Showing 1-25 of 158 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
Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer metabolic networking
Zhiwei Zhou, Mingdu Luo, Haosong Zhang, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 140
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
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
Annotation of natural product compound families using molecular networking topology and structural similarity fingerprinting
Nicholas J. Morehouse, Trevor N. Clark, Emily McMann, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 53
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
Open access repository-scale propagated nearest neighbor suspect spectral library for untargeted metabolomics
Wout Bittremieux, Nicole E. Avalon, Sydney P. Thomas, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 42
Metabolomics and genomics in natural products research: complementary tools for targeting new chemical entities
Lindsay K. Caesar, Rana Montaser, Nancy P. Keller, et al.
Natural Product Reports (2021) Vol. 38, Iss. 11, pp. 2041-2065
Open Access | Times Cited: 101
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
Metabolite discovery: Biochemistry’s scientific driver
Martin Giera, Óscar Yanes, Gary Siuzdak
Cell Metabolism (2022) Vol. 34, Iss. 1, pp. 21-34
Open Access | Times Cited: 59
Networks and Graphs Discovery in Metabolomics Data Analysis and Interpretation
Adam Amara, Clément Frainay, Fabien Jourdan, et al.
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 57
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
Integrative omics approaches for biosynthetic pathway discovery in plants
Kumar Saurabh Singh, Justin J. J. van der Hooft, Saskia C. M. Van Wees, et al.
Natural Product Reports (2022) Vol. 39, Iss. 9, pp. 1876-1896
Open Access | Times Cited: 48
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
What are we imaging? Software tools and experimental strategies for annotation and identification of small molecules in mass spectrometry imaging
Gerard Baquer, Lluc Sementé, Toufik Mahamdi, et al.
Mass Spectrometry Reviews (2022) Vol. 42, Iss. 5, pp. 1927-1964
Open Access | Times Cited: 41
BUDDY: molecular formula discovery via bottom-up MS/MS interrogation
Shipei Xing, Sam Shen, Banghua Xu, et al.
Nature Methods (2023) Vol. 20, Iss. 6, pp. 881-890
Open Access | Times Cited: 38
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
Ultra-fast and accurate electron ionization mass spectrum matching for compound identification with million-scale in-silico library
Qiong Yang, Hongchao Ji, Zhenbo Xu, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 27
MAW: the reproducible Metabolome Annotation Workflow for untargeted tandem mass spectrometry
Mahnoor Zulfiqar, Luiz Gadelha, Christoph Steinbeck, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 23
Generating Molecular Fragmentation Graphs with Autoregressive Neural Networks
Samuel Goldman, Janet Li, Connor W. Coley
Analytical Chemistry (2024) Vol. 96, Iss. 8, pp. 3419-3428
Open Access | Times Cited: 14
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
A Sample-Centric and Knowledge-Driven Computational Framework for Natural Products Drug Discovery
Arnaud Gaudry, Marco Pagni, Florence Mehl, et al.
ACS Central Science (2024) Vol. 10, Iss. 3, pp. 494-510
Open Access | Times Cited: 9
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