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:

Combinatorial assembly and design of enzymes
Rosalie Lipsh‐Sokolik, Olga Khersonsky, Sybrin P. Schröder, et al.
Science (2023) Vol. 379, Iss. 6628, pp. 195-201
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Machine Learning-Guided Protein Engineering
Petr Kouba, Pavel Kohout, Faraneh Haddadi, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 13863-13895
Open Access | Times Cited: 65

Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering
Jason Yang, Francesca-Zhoufan Li, Frances H. Arnold
ACS Central Science (2024) Vol. 10, Iss. 2, pp. 226-241
Open Access | Times Cited: 51

Self-driving laboratories to autonomously navigate the protein fitness landscape
Jacob Rapp, Bennett J. Bremer, Philip A. Romero
Nature Chemical Engineering (2024) Vol. 1, Iss. 1, pp. 97-107
Open Access | Times Cited: 47

Opportunities and challenges in design and optimization of protein function
Dina Listov, Casper A. Goverde, Bruno E. Correia, et al.
Nature Reviews Molecular Cell Biology (2024) Vol. 25, Iss. 8, pp. 639-653
Closed Access | Times Cited: 33

Sparks of function by de novo protein design
Alexander E. Chu, Tianyu Lu, Po‐Ssu Huang
Nature Biotechnology (2024) Vol. 42, Iss. 2, pp. 203-215
Closed Access | Times Cited: 27

Accelerating Biocatalysis Discovery with Machine Learning: A Paradigm Shift in Enzyme Engineering, Discovery, and Design
Braun Markus, Gruber Christian C, Krassnigg Andreas, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 14454-14469
Open Access | Times Cited: 29

Biophysics-based protein language models for protein engineering
Sam Gelman, Bryce Johnson, Chase R. Freschlin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 9

Navigating the landscape of enzyme design: from molecular simulations to machine learning
Jiahui Zhou, Meilan Huang
Chemical Society Reviews (2024) Vol. 53, Iss. 16, pp. 8202-8239
Open Access | Times Cited: 8

Open-endedness in synthetic biology: A route to continual innovation for biological design
Michiel Stock, Thomas E. Gorochowski
Science Advances (2024) Vol. 10, Iss. 3
Open Access | Times Cited: 6

Engineering strategies and challenges of endolysin as an antibacterial agent against Gram‐negative bacteria
Tianyu Zheng, Can Zhang
Microbial Biotechnology (2024) Vol. 17, Iss. 4
Open Access | Times Cited: 6

Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy
Nan Zheng, Yongchao Cai, Zehua Zhang, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access

Synthetic biology: Learning the way toward high-precision biological design
Shohei Kitano, Ciai Lin, Jee Loon Foo, et al.
PLoS Biology (2023) Vol. 21, Iss. 4, pp. e3002116-e3002116
Open Access | Times Cited: 19

Designed active-site library reveals thousands of functional GFP variants
Jonathan J. Weinstein, Carlos Martí‐Gómez, Rosalie Lipsh‐Sokolik, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 18

Exploring new galaxies: Perspectives on the discovery of novel PET-degrading enzymes
Jan Mičan, Da’san M. M. Jaradat, Weidong Liu, et al.
Applied Catalysis B Environment and Energy (2023) Vol. 342, pp. 123404-123404
Closed Access | Times Cited: 18

Activity‐Based Protein Profiling – Finding General Solutions to Specific Problems
Benjamin F. Cravatt
Israel Journal of Chemistry (2023) Vol. 63, Iss. 3-4
Open Access | Times Cited: 17

Improved structure-related prediction for insufficient homologous proteins using MSA enhancement and pre-trained language model
Qiaozhen Meng, Fei Guo, Jijun Tang
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 17

Enhancing the Catalytic Efficiency of D‐lactonohydrolase through the Synergy of Tunnel Engineering, Evolutionary Analysis, and Force‐Field Calculations
Ruobin Sun, Pu Zheng, Pengcheng Chen, et al.
Chemistry - A European Journal (2024) Vol. 30, Iss. 16
Closed Access | Times Cited: 5

D-allose, a typical rare sugar: properties, applications, and biosynthetic advances and challenges
Xinrui Tang, Yuvaraj Ravikumar, Guoyan Zhang, et al.
Critical Reviews in Food Science and Nutrition (2024), pp. 1-28
Closed Access | Times Cited: 5

Chiral CuxCoyS‐CuzS Nanoflowers with Bioinspired Enantioselective Catalytic Performances
Qingrui Si, Fang Wang, Qi Ding, et al.
Small (2024) Vol. 20, Iss. 24
Closed Access | Times Cited: 4

Functionally Diverse Peroxygenases by AlphaFold2, Design, and Signal Peptide Shuffling
Judith Münch, N.L. Dietz, S. Barber-Zucker, et al.
ACS Catalysis (2024) Vol. 14, Iss. 7, pp. 4738-4748
Open Access | Times Cited: 4

Protein Oligomer Engineering: A New Frontier for Studying Protein Structure, Function, and Toxicity
Chang Liu, Jinghui Luo
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 23
Open Access | Times Cited: 12

Ongoing shuffling of protein fragments diversifies core viral functions linked to interactions with bacterial hosts
Bogna J. Smug, Krzysztof Szczepaniak, Eduardo P. C. Rocha, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 12

Accurate top protein variant discovery via low-N pick-and-validate machine learning
Hoi Yee Chu, John H.C. Fong, Dawn Thean, et al.
Cell Systems (2024) Vol. 15, Iss. 2, pp. 193-203.e6
Closed Access | Times Cited: 3

Hydrophobicity-Based Force Field In Enzymes
Irena Roterman, Leszek Konieczny, Katarzyna Stąpor, et al.
ACS Omega (2024)
Open Access | Times Cited: 3

Enzymatic synthesis of chiral alcohols using ketoreductases
Quan Yuan, Li Ma, Weixi Kong, et al.
Catalysis Reviews (2024), pp. 1-40
Closed Access | Times Cited: 2

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