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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:

Retrosynthetic design of metabolic pathways to chemicals not found in nature
Geng-Min Lin, Robert Warden‐Rothman, Christopher A. Voigt
Current Opinion in Systems Biology (2019) Vol. 14, pp. 82-107
Open Access | Times Cited: 111

Showing 1-25 of 111 citing articles:

Synthetic biology 2020–2030: six commercially-available products that are changing our world
Christopher A. Voigt
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 208
Machine learning for metabolic engineering: A review
Christopher E. Lawson, Jose Manuel Martí, Tijana Radivojević, et al.
Metabolic Engineering (2020) Vol. 63, pp. 34-60
Open Access | Times Cited: 198
Pathways to cellular supremacy in biocomputing
Lewis Grozinger, Martyn Amos, Thomas E. Gorochowski, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 146
Machine learning applications in systems metabolic engineering
Gi Bae Kim, Won Jun Kim, Hyun Uk Kim, et al.
Current Opinion in Biotechnology (2019) Vol. 64, pp. 1-9
Closed Access | Times Cited: 142
Machine Learning Methods for Small Data Challenges in Molecular Science
Bozheng Dou, Zailiang Zhu, Ekaterina Merkurjev, et al.
Chemical Reviews (2023) Vol. 123, Iss. 13, pp. 8736-8780
Open Access | Times Cited: 142
Designing Microbial Cell Factories for the Production of Chemicals
Jae Sung Cho, Gi Bae Kim, Hyunmin Eun, et al.
JACS Au (2022) Vol. 2, Iss. 8, pp. 1781-1799
Open Access | Times Cited: 106
Deep learning driven biosynthetic pathways navigation for natural products with BioNavi-NP
Shuangjia Zheng, Tao Zeng, Chengtao Li, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 74
Machine learning modeling of family wide enzyme-substrate specificity screens
Samuel Goldman, Ria Das, Kevin Yang, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 2, pp. e1009853-e1009853
Open Access | Times Cited: 73
Machine learning-enabled retrobiosynthesis of molecules
Tianhao Yu, Aashutosh Girish Boob, Michael Volk, et al.
Nature Catalysis (2023) Vol. 6, Iss. 2, pp. 137-151
Closed Access | Times Cited: 61
Self assembling nanoparticle enzyme clusters provide access to substrate channeling in multienzymatic cascades
Joyce C. Breger, James N. Vranish, Eunkeu Oh, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 38
Synthetic microbe-to-plant communication channels
Alice Boo, Tyler Toth, Qiguo Yu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 11
Reinforcement Learning for Bioretrosynthesis
Mathilde Koch, Thomas Duigou, Jean‐Loup Faulon
ACS Synthetic Biology (2019) Vol. 9, Iss. 1, pp. 157-168
Open Access | Times Cited: 105
Bacterial terpene biosynthesis: challenges and opportunities for pathway engineering
Eric J. N. Helfrich, Geng-Min Lin, Christopher A. Voigt, et al.
Beilstein Journal of Organic Chemistry (2019) Vol. 15, pp. 2889-2906
Open Access | Times Cited: 99
Physiological limitations and opportunities in microbial metabolic engineering
José Montaño López, Lisset A. Duran, José L. Avalos‬
Nature Reviews Microbiology (2021) Vol. 20, Iss. 1, pp. 35-48
Closed Access | Times Cited: 90
Applications of artificial intelligence to enzyme and pathway design for metabolic engineering
Woo Dae Jang, Gi Bae Kim, Yeji Kim, et al.
Current Opinion in Biotechnology (2021) Vol. 73, pp. 101-107
Closed Access | Times Cited: 84
Engineering biosynthetic enzymes for industrial natural product synthesis
Stephanie Galanie, David A. Entwistle, James J. Lalonde
Natural Product Reports (2020) Vol. 37, Iss. 8, pp. 1122-1143
Open Access | Times Cited: 70
Enzyme evolution for industrial biocatalytic cascades
Jovana Nazor, Joyce Liu, Gjalt W. Huisman
Current Opinion in Biotechnology (2021) Vol. 69, pp. 182-190
Closed Access | Times Cited: 60
Expanding biochemical knowledge and illuminating metabolic dark matter with ATLASx
Homa MohammadiPeyhani, Jasmin Hafner, Anastasia Sveshnikova, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 37
Merging enzymatic and synthetic chemistry with computational synthesis planning
Itai Levin, Mengjie Liu, Christopher A. Voigt, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 37
CRISPR-induced DNA reorganization for multiplexed nucleic acid detection
Margot Karlikow, Evan Amalfitano, Xiaolong Yang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 33
Transcription factor-based biosensors for screening and dynamic regulation
Jonathan Tellechea‐Luzardo, Martin T. Stiebritz, Pablo Carbonell
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 31
Metabolic engineering for sustainability and health
Gi Bae Kim, So Young Choi, In Jin Cho, et al.
Trends in biotechnology (2023) Vol. 41, Iss. 3, pp. 425-451
Closed Access | Times Cited: 30
Automatic materials characterization from infrared spectra using convolutional neural networks
Guwon Jung, Son Gyo Jung, Jacqueline M. Cole
Chemical Science (2023) Vol. 14, Iss. 13, pp. 3600-3609
Open Access | Times Cited: 28
Synthetic biology approaches to negative emissions technologies: a technological and ethical appraisal
Dominic Y. Logel, Josh Wodak
Frontiers in Climate (2025) Vol. 6
Open Access
Automated engineering of synthetic metabolic pathways for efficient biomanufacturing
Irene Otero‐Muras, Pablo Carbonell
Metabolic Engineering (2020) Vol. 63, pp. 61-80
Closed Access | Times Cited: 54
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