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:

Engineering metalloproteinase inhibitors: tissue inhibitors of metalloproteinases or antibodies, that is the question
Masoud Kalantar, Gregory A Hilpert, Ethan R Mosca, et al.
Current Opinion in Biotechnology (2024) Vol. 86, pp. 103094-103094
Closed Access | Times Cited: 4

Showing 4 citing articles:

Dkk3 inhibits the aggressiveness and mitigates chemoresistance through low lipid droplet formation in gastric cancer: A biomarker and gene therapy target
R Liu, Guoliang Zheng, Ning Li, et al.
International Immunopharmacology (2025) Vol. 149, pp. 114200-114200
Closed Access

Biological significance and pathophysiological role of Matrix Metalloproteinases in the Central Nervous System
Krishnendu Ganguly, Krishnendu Adhikary, Arup Acharjee, et al.
International Journal of Biological Macromolecules (2024), pp. 135967-135967
Closed Access | Times Cited: 1

Elucidating key determinants of engineered scFv antibody in MMP-9 binding using high throughput screening and machine learning
Masoud Kalantar, Ifthichar Kalanther, Sachin Kumar, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Effect of TIMPs and Their Minimally Engineered Variants in Blocking Invasion and Migration of Brain Cancer Cells
Elham Taheri, Maryam Raeeszadeh‐Sarmazdeh
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Determining key residues of engineered scFv antibody variants with improved MMP-9 binding using deep sequencing and machine learning
Masoud Kalantar, Ifthichar Kalanther, Sachin Kumar, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 3759-3770
Open Access

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