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:

Recent Advances in NMR Protein Structure Prediction with ROSETTA
Julia Koehler Leman, Georg Künze
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 9, pp. 7835-7835
Open Access | Times Cited: 19

Showing 19 citing articles:

The power and pitfalls of AlphaFold2 for structure prediction beyond rigid globular proteins
Vinayak Agarwal, Andrew C. McShan
Nature Chemical Biology (2024) Vol. 20, Iss. 8, pp. 950-959
Closed Access | Times Cited: 19

The impact of AI‐based modeling on the accuracy of protein assembly prediction: Insights from CASP15
Burcu Çelet Özden, Andriy Kryshtafovych, Ezgi Karaca
Proteins Structure Function and Bioinformatics (2023) Vol. 91, Iss. 12, pp. 1636-1657
Open Access | Times Cited: 21

Progress, Challenges and Opportunities of NMR and XL-MS for Cellular Structural Biology
Zeting Zhang, Qun Zhao, Zhou Gong, et al.
JACS Au (2024) Vol. 4, Iss. 2, pp. 369-383
Open Access | Times Cited: 7

AI-Driven Deep Learning Techniques in Protein Structure Prediction
Lingtao Chen, Qiaomu Li, Kazi Fahim Ahmad Nasif, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 15, pp. 8426-8426
Open Access | Times Cited: 6

Deciphering olfactory receptor binding mechanisms: a structural and dynamic perspective on olfactory receptors
Jingtao Wang, Qidong Zhang, Fan Wu, et al.
Frontiers in Molecular Biosciences (2025) Vol. 11
Open Access

Probing Biomolecular Interactions with Paramagnetic Nuclear Magnetic Resonance Spectroscopy
H. Büsch, Muhammad Yasir Ateeque, Florian Taube, et al.
ChemBioChem (2025)
Open Access

Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy
Saber İmani, Xiaoyan Li, Keyi Chen, et al.
Frontiers in Cellular and Infection Microbiology (2025) Vol. 14
Open Access

Application of artificial intelligence in drug design: A review
Simrandeep Singh, Navjot Kaur, Anita Gehlot
Computers in Biology and Medicine (2024) Vol. 179, pp. 108810-108810
Closed Access | Times Cited: 5

SERT-StructNet: Protein secondary structure prediction method based on multi-factor hybrid deep model
Benzhi Dong, Zheng Liu, Dali Xu, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1364-1375
Open Access | Times Cited: 3

Deep learning methods for protein structure prediction
Yiming Qin, Zihan Chen, Peng Ye, et al.
MedComm – Future Medicine (2024) Vol. 3, Iss. 3
Open Access | Times Cited: 3

The Impact of AI-Based Modeling on the Accuracy of Protein Assembly Prediction: Insights from CASP15
Burcu Çelet Özden, Andriy Kryshtafovych, Ezgi Karaca
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4

Analysis of the Structural Dynamics of Proteins in the Ligand-Unbound and -Bound States by Diffracted X-ray Tracking
Masayuki Oda
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 18, pp. 13717-13717
Open Access | Times Cited: 2

Dynamic Structures of Bioactive Proteins as Determined by Nuclear Magnetic Resonance
Orsolya Tőke, Gyula Batta
International Journal of Molecular Sciences (2023) Vol. 25, Iss. 1, pp. 295-295
Open Access | Times Cited: 2

NMR investigations of glycan conformation, dynamics, and interactions
Jesús Angulo, Ana Ardá, Sara Bertuzzi, et al.
Progress in Nuclear Magnetic Resonance Spectroscopy (2024) Vol. 144-145, pp. 97-152
Closed Access

Generative AI in Drug Designing: Current State-of-the-Art and Perspectives
Shaban Ahmad, Nagmi Bano, Sakshi Sharma, et al.
Studies in computational intelligence (2024), pp. 427-463
Closed Access

NMR-Chemical-Shift-Driven Protocol Reveals the Cofactor-Bound, Complete Structure of Dynamic Intermediates of the Catalytic Cycle of Oncogenic KRAS G12C Protein and the Significance of the Mg2+ Ion
Márton Gadanecz, Zsolt Fazekas, Gyula Pálfy, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 15, pp. 12101-12101
Open Access | Times Cited: 1

The Impact of AI-Based Modeling on the Accuracy of Protein Assembly Prediction: Insights from CASP15
Ezgi Karaca, Burcu Çelet Özden, Andriy Kryshtafovych
Authorea (Authorea) (2023)
Open Access

Improving Geometric Validation Metrics and Ensuring Consistency with Experimental Data through TrioSA: An NMR Refinement Protocol
Youngbum Cho, Hyojung Ryu, Gyutae Lim, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 17, pp. 13337-13337
Open Access

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