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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 determination using metagenome sequence data
Sergey Ovchinnikov, Hahnbeom Park, Neha Varghese, et al.
Science (2017) Vol. 355, Iss. 6322, pp. 294-298
Open Access | Times Cited: 539

Showing 1-25 of 539 citing articles:

Improved protein structure prediction using predicted interresidue orientations
Jianyi Yang, Ivan Anishchenko, Hahnbeom Park, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 3, pp. 1496-1503
Open Access | Times Cited: 1385
DNA sequencing at 40: past, present and future
Jay Shendure, Shankar Balasubramanian, George M. Church, et al.
Nature (2017) Vol. 550, Iss. 7676, pp. 345-353
Closed Access | Times Cited: 939
Clustering huge protein sequence sets in linear time
Martin Steinegger, Johannes Söding
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 740
Macromolecular modeling and design in Rosetta: recent methods and frameworks
Julia Koehler Leman, Brian D. Weitzner, Steven M. Lewis, et al.
Nature Methods (2020) Vol. 17, Iss. 7, pp. 665-680
Open Access | Times Cited: 704
Advances in protein structure prediction and design
Brian Kuhlman, Philip Bradley
Nature Reviews Molecular Cell Biology (2019) Vol. 20, Iss. 11, pp. 681-697
Open Access | Times Cited: 699
Structure-based protein function prediction using graph convolutional networks
Vladimir Gligorijević, P. Douglas Renfrew, Tomasz Kościółek, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 570
The trRosetta server for fast and accurate protein structure prediction
Zongyang Du, Hong Su, Wenkai Wang, et al.
Nature Protocols (2021) Vol. 16, Iss. 12, pp. 5634-5651
Open Access | Times Cited: 512
Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations
Wei Zheng, Chengxin Zhang, Yang Li, et al.
Cell Reports Methods (2021) Vol. 1, Iss. 3, pp. 100014-100014
Open Access | Times Cited: 456
Distance-based protein folding powered by deep learning
Jinbo Xu
Proceedings of the National Academy of Sciences (2019) Vol. 116, Iss. 34, pp. 16856-16865
Open Access | Times Cited: 398
Protein-level assembly increases protein sequence recovery from metagenomic samples manyfold
Martin Steinegger, Milot Mirdita, Johannes Söding
Nature Methods (2019) Vol. 16, Iss. 7, pp. 603-606
Open Access | Times Cited: 387
End-to-End Differentiable Learning of Protein Structure
Mohammed AlQuraishi
Cell Systems (2019) Vol. 8, Iss. 4, pp. 292-301.e3
Open Access | Times Cited: 348
An evolution-based model for designing chorismate mutase enzymes
William P. Russ, Matteo Figliuzzi, Christian Stocker, et al.
Science (2020) Vol. 369, Iss. 6502, pp. 440-445
Closed Access | Times Cited: 284
Targeted isolation and cultivation of uncultivated bacteria by reverse genomics
Karissa L. Cross, James H. Campbell, Manasi Balachandran, et al.
Nature Biotechnology (2019) Vol. 37, Iss. 11, pp. 1314-1321
Open Access | Times Cited: 278
Protein interaction networks revealed by proteome coevolution
Qian Cong, Ivan Anishchenko, Sergey Ovchinnikov, et al.
Science (2019) Vol. 365, Iss. 6449, pp. 185-189
Open Access | Times Cited: 254
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
Alexander Rives, Joshua Meier, Tom Sercu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 238
Deep‐learning contact‐map guided protein structure prediction in CASP13
Wei Zheng, Yang Li, Chengxin Zhang, et al.
Proteins Structure Function and Bioinformatics (2019) Vol. 87, Iss. 12, pp. 1149-1164
Open Access | Times Cited: 219
Artificial intelligence in cancer target identification and drug discovery
Yujie You, Xin Lai, Yi Pan, et al.
Signal Transduction and Targeted Therapy (2022) Vol. 7, Iss. 1
Open Access | Times Cited: 215
Recent advances in systems metabolic engineering tools and strategies
Tong Un Chae, So Young Choi, Je Woong Kim, et al.
Current Opinion in Biotechnology (2017) Vol. 47, pp. 67-82
Closed Access | Times Cited: 211
Genome-reconstruction for eukaryotes from complex natural microbial communities
Patrick T. West, Alexander J. Probst, Igor V. Grigoriev, et al.
Genome Research (2018) Vol. 28, Iss. 4, pp. 569-580
Open Access | Times Cited: 209
MetaEuk—sensitive, high-throughput gene discovery, and annotation for large-scale eukaryotic metagenomics
Eli Levy Karin, Milot Mirdita, Johannes Söding
Microbiome (2020) Vol. 8, Iss. 1
Open Access | Times Cited: 204
EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies
Alex Mitchell, Maxim Scheremetjew, Hubert Denise, et al.
Nucleic Acids Research (2017) Vol. 46, Iss. D1, pp. D726-D735
Open Access | Times Cited: 201
Improved protein structure prediction by deep learning irrespective of co-evolution information
Jinbo Xu, Matt McPartlon, Jin Li
Nature Machine Intelligence (2021) Vol. 3, Iss. 7, pp. 601-609
Open Access | Times Cited: 200
Holy Grails for Computational Organic Chemistry and Biochemistry
K. N. Houk, Fang Liu
Accounts of Chemical Research (2017) Vol. 50, Iss. 3, pp. 539-543
Closed Access | Times Cited: 199
Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks
Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, et al.
Bioinformatics (2018) Vol. 34, Iss. 23, pp. 4039-4045
Closed Access | Times Cited: 191
Cryo-EM structure of the protein-conducting ERAD channel Hrd1 in complex with Hrd3
Stefan Schoebel, Wei Mi, Alexander Stein, et al.
Nature (2017) Vol. 548, Iss. 7667, pp. 352-355
Open Access | Times Cited: 188
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