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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:

High-order epistasis shapes evolutionary trajectories
Zachary R. Sailer, Michael J. Harms
PLoS Computational Biology (2017) Vol. 13, Iss. 5, pp. e1005541-e1005541
Open Access | Times Cited: 122

Showing 1-25 of 122 citing articles:

The causes of evolvability and their evolution
Joshua L. Payne, Andreas Wagner
Nature Reviews Genetics (2018) Vol. 20, Iss. 1, pp. 24-38
Open Access | Times Cited: 312
The Causes and Consequences of Genetic Interactions (Epistasis)
Júlia Domingo, Pablo Baeza-Centurion, Ben Lehner
Annual Review of Genomics and Human Genetics (2019) Vol. 20, Iss. 1, pp. 433-460
Closed Access | Times Cited: 213
Compensatory epistasis maintains ACE2 affinity in SARS-CoV-2 Omicron BA.1
Alief Moulana, Thomas Dupic, Angela M. Phillips, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 112
The landscape of antibody binding affinity in SARS-CoV-2 Omicron BA.1 evolution
Alief Moulana, Thomas Dupic, Angela M. Phillips, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 44
Global epistasis and the emergence of function in microbial consortia
Juan Díaz‐Colunga, Abigail Skwara, Jean C. C. Vila, et al.
Cell (2024) Vol. 187, Iss. 12, pp. 3108-3119.e30
Open Access | Times Cited: 16
Weak Chemical Interactions That Drive Protein Evolution: Crowding, Sticking, and Quinary Structure in Folding and Function
Drishti Guin, Martin Gruebele
Chemical Reviews (2019) Vol. 119, Iss. 18, pp. 10691-10717
Closed Access | Times Cited: 134
Cryptic genetic variation accelerates evolution by opening access to diverse adaptive peaks
Jia Zheng, Joshua L. Payne, Andreas Wagner
Science (2019) Vol. 365, Iss. 6451, pp. 347-353
Open Access | Times Cited: 116
Higher-order epistasis shapes the fitness landscape of a xenobiotic-degrading enzyme
Gloria Yang, Dave W. Anderson, Florian Baier, et al.
Nature Chemical Biology (2019) Vol. 15, Iss. 11, pp. 1120-1128
Closed Access | Times Cited: 114
Combinatorial Genetics Reveals a Scaling Law for the Effects of Mutations on Splicing
Pablo Baeza-Centurion, Belén Miñana, Jörn M. Schmiedel, et al.
Cell (2019) Vol. 176, Iss. 3, pp. 549-563.e23
Open Access | Times Cited: 106
An experimental assay of the interactions of amino acids from orthologous sequences shaping a complex fitness landscape
Victoria O. Pokusaeva, Dinara R. Usmanova, Ekaterina V. Putintseva, et al.
PLoS Genetics (2019) Vol. 15, Iss. 4, pp. e1008079-e1008079
Open Access | Times Cited: 103
Mapping the Evolutionary Potential of RNA Viruses
Patrick Dolan, Zachary J. Whitfield, Raul Andino
Cell Host & Microbe (2018) Vol. 23, Iss. 4, pp. 435-446
Open Access | Times Cited: 96
The Influence of Higher-Order Epistasis on Biological Fitness Landscape Topography
Daniel Weinreich, Yinghong Lan, Jacob D. Jaffe, et al.
Journal of Statistical Physics (2018) Vol. 172, Iss. 1, pp. 208-225
Open Access | Times Cited: 89
Deciphering protein evolution and fitness landscapes with latent space models
Xinqiang Ding, Zhengting Zou, Charles L. Brooks
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 84
Epistasis and intramolecular networks in protein evolution
C.M. Miton, Karol Buda, Nobuhiko Tokuriki
Current Opinion in Structural Biology (2021) Vol. 69, pp. 160-168
Closed Access | Times Cited: 71
Evolutionary Pathways and Trajectories in Antibiotic Resistance
Fernando Baquero, José Luis Martínez, Val F. Lanza, et al.
Clinical Microbiology Reviews (2021) Vol. 34, Iss. 4
Open Access | Times Cited: 71
Contingency and chance erase necessity in the experimental evolution of ancestral proteins
Victoria Cochran Xie, Jinyue Pu, Brian P. H. Metzger, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 67
Binding affinity landscapes constrain the evolution of broadly neutralizing anti-influenza antibodies
Angela M. Phillips, Katherine R. Lawrence, Alief Moulana, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 53
Hierarchical sequence-affinity landscapes shape the evolution of breadth in an anti-influenza receptor binding site antibody
Angela M. Phillips, Daniel P. Maurer, Caelan Brooks, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 22
Epistasis facilitates functional evolution in an ancient transcription factor
Brian P. H. Metzger, Yeonwoo Park, Tyler N. Starr, et al.
eLife (2024) Vol. 12
Open Access | Times Cited: 8
Protein sequence landscapes are not so simple: on reference-free versus reference-based inference
Thomas Dupic, Angela M. Phillips, Michael M. Desai
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 6
Molecular ensembles make evolution unpredictable
Zachary R. Sailer, Michael J. Harms
Proceedings of the National Academy of Sciences (2017) Vol. 114, Iss. 45, pp. 11938-11943
Open Access | Times Cited: 83
Epistasis in a Fitness Landscape Defined by Antibody-Antigen Binding Free Energy
Rhys Adams, Justin B. Kinney, Aleksandra M. Walczak, et al.
Cell Systems (2019) Vol. 8, Iss. 1, pp. 86-93.e3
Open Access | Times Cited: 53
Higher-order epistasis and phenotypic prediction
Juannan Zhou, Mandy S. Wong, Wei-Chia Chen, et al.
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 39
Open Access | Times Cited: 26
Learning protein fitness landscapes with deep mutational scanning data from multiple sources
Lin Chen, Zehong Zhang, Zhenghao Li, et al.
Cell Systems (2023) Vol. 14, Iss. 8, pp. 706-721.e5
Open Access | Times Cited: 19
The promise of explainable deep learning for omics data analysis: Adding new discovery tools to AI
Mariangela Santorsola, Francesco Lescai
New Biotechnology (2023) Vol. 77, pp. 1-11
Open Access | Times Cited: 17
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