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:

Development of computational models using omics data for the identification of effective cancer metabolic biomarkers
Sang Mi Lee, Hyun Uk Kim
Molecular Omics (2021) Vol. 17, Iss. 6, pp. 881-893
Closed Access | Times Cited: 6

Showing 6 citing articles:

Prediction of metabolites associated with somatic mutations in cancers by using genome-scale metabolic models and mutation data
GaRyoung Lee, Sang Mi Lee, Sungyoung Lee, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 4

Identification of cancer risk groups through multi-omics integration using autoencoder and tensor analysis
Ali Braytee, Sam He, Shuxian Tang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3

Machine learning-guided evaluation of extraction and simulation methods for cancer patient-specific metabolic models
Sang Mi Lee, GaRyoung Lee, Hyun Uk Kim
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 3041-3052
Open Access | Times Cited: 11

A contribution of metabolic engineering to addressing medical problems: Metabolic flux analysis
GaRyoung Lee, Sang Mi Lee, Hyun Uk Kim
Metabolic Engineering (2023) Vol. 77, pp. 283-293
Open Access | Times Cited: 6

mastR: Marker Automated Screening Tool for multi-omics data
Jinjin Chen, Ahmed Mohamed, Dharmesh D. Bhuva, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access | Times Cited: 1

Prediction of metabolites associated with somatic mutations in cancers by using genome-scale metabolic models and mutation data
GaRyoung Lee, Sang Mi Lee, Sungyoung Lee, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1

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