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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:

Protein Structure from Experimental Evolution
Michael A. Stiffler, Frank J. Poelwijk, Kelly P. Brock, et al.
Cell Systems (2019) Vol. 10, Iss. 1, pp. 15-24.e5
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

In vivo hypermutation and continuous evolution
Rosana S. Molina, Gordon Rix, Amanuella A. Mengiste, et al.
Nature Reviews Methods Primers (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 83
Scalable continuous evolution for the generation of diverse enzyme variants encompassing promiscuous activities
Gordon Rix, Ella J. Watkins‐Dulaney, Patrick J. Almhjell, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 83
In vivo hypermutation and continuous evolution
Rosana S. Molina, Gordon Rix, Amanuella A. Mengiste, et al.
Nature Reviews Methods Primers (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 40
Latent generative landscapes as maps of functional diversity in protein sequence space
Cheyenne Ziegler, Jonathan Martin, Claude Sinner, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 22
The genetic architecture of protein stability
André J. Faure, Aina Martí-Aranda, Cristina Hidalgo-Carcedo, et al.
Nature (2024)
Open Access | Times Cited: 14
Continuous evolution of user-defined genes at 1 million times the genomic mutation rate
Gordon Rix, Rory L. Williams, Vincent J. Hu, et al.
Science (2024) Vol. 386, Iss. 6722
Open Access | Times Cited: 11
In vivo functional phenotypes from a computational epistatic model of evolution
Sophia Alvarez, Charisse M. Nartey, Nicolas Mercado, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 6
Open Access | Times Cited: 8
Simultaneous enhancement of multiple functional properties using evolution-informed protein design
Benjamin Fram, Yang Su, Ian Truebridge, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 8
From systems to structure — using genetic data to model protein structures
Hannes Braberg, Ignacia Echeverria, Robyn M. Kaake, et al.
Nature Reviews Genetics (2022) Vol. 23, Iss. 6, pp. 342-354
Open Access | Times Cited: 33
MoCHI: neural networks to fit interpretable models and quantify energies, energetic couplings, epistasis and allostery from deep mutational scanning data
André J. Faure, Ben Lehner
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 7
MoCHI: neural networks to fit interpretable models and quantify energies, energetic couplings, epistasis, and allostery from deep mutational scanning data
André J. Faure, Ben Lehner
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
Systems for in vivo hypermutation: a quest for scale and depth in directed evolution
Gordon Rix, Chang C. Liu
Current Opinion in Chemical Biology (2021) Vol. 64, pp. 20-26
Open Access | Times Cited: 37
Inferring protein fitness landscapes from laboratory evolution experiments
Sameer D’Costa, Emily C. Hinds, Chase R. Freschlin, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 3, pp. e1010956-e1010956
Open Access | Times Cited: 14
Modeling sequence-space exploration and emergence of epistatic signals in protein evolution
Matteo Bisardi, Juan Rodriguez-Rivas, Francesco Zamponi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 29
Evolutionary action of mutations reveals antimicrobial resistance genes in Escherichia coli
David C. Marciano, Chen Wang, Teng‐Kuei Hsu, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 20
The genetic architecture of protein stability
André J. Faure, Aina Martí-Aranda, Cristina Hidalgo-Carcedo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 12
Emergent time scales of epistasis in protein evolution
Leonardo Di Bari, Matteo Bisardi, Sabrina Cotogno, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 40
Open Access | Times Cited: 4
Reconstruction of Ancestral Protein Sequences Using Autoregressive Generative Models
Matteo De Leonardis, Andrea Pagnani, Pierre Barrat-Charlaix
Molecular Biology and Evolution (2025) Vol. 42, Iss. 4
Open Access
The challenges and prospects of Escherichia coli as an organic acid production host under acid stress
Jinhua Yang, Juan Zhang, Zhengming Zhu, et al.
Applied Microbiology and Biotechnology (2021) Vol. 105, Iss. 21-22, pp. 8091-8107
Closed Access | Times Cited: 22
Deep phylogeny of cancer drivers and compensatory mutations
Nash D. Rochman, Yuri I. Wolf, Eugene V. Koonin
Communications Biology (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 22
Simultaneous enhancement of multiple functional properties using evolution-informed protein design
Benjamin Fram, Ian Truebridge, Yang Su, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 7
Inference of annealed protein fitness landscapes with AnnealDCA
Luca Sesta, Andrea Pagnani, Jorge Fernández-de-Cossio-Díaz, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 2, pp. e1011812-e1011812
Open Access | Times Cited: 2
Robust genome and cell engineering via in vitro and in situ circularized RNAs
Michael Z. Tong, Nathan Palmer, Amir Dailamy, et al.
Nature Biomedical Engineering (2024)
Closed Access | Times Cited: 2
Mutations in transmembrane proteins: diseases, evolutionary insights, prediction and comparison with globular proteins
Jan Zaucha, Michael Heinzinger, A. Kulandaisamy, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Closed Access | Times Cited: 19
Leri: A web-server for identifying protein functional networks from evolutionary couplings
Ngaam J. Cheung, Arun T. John Peter, Benoı̂t Kornmann
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 3556-3563
Open Access | Times Cited: 16
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