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:

A Sequential Multidimensional Analysis Algorithm for Aptamer Identification based on Structure Analysis and Machine Learning
Jia Song, Yuan Zheng, Mengjiao Huang, et al.
Analytical Chemistry (2019) Vol. 92, Iss. 4, pp. 3307-3314
Closed Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Aptamer-Based Detection of Circulating Targets for Precision Medicine
Lingling Wu, Yidi Wang, Xing Xu, et al.
Chemical Reviews (2021) Vol. 121, Iss. 19, pp. 12035-12105
Closed Access | Times Cited: 430

Discovery of Aptamers Targeting the Receptor-Binding Domain of the SARS-CoV-2 Spike Glycoprotein
Yanling Song, Jia Song, Xinyu Wei, et al.
Analytical Chemistry (2020) Vol. 92, Iss. 14, pp. 9895-9900
Open Access | Times Cited: 390

Advances and Challenges in Small‐Molecule DNA Aptamer Isolation, Characterization, and Sensor Development
Haixiang Yu, Obtin Alkhamis, Juan Canoura, et al.
Angewandte Chemie International Edition (2021) Vol. 60, Iss. 31, pp. 16800-16823
Open Access | Times Cited: 275

Taking the leap between analytical chemistry and artificial intelligence: A tutorial review
Lucas B. Ayres, Federico J.V. Gómez, Jeb R. Linton, et al.
Analytica Chimica Acta (2021) Vol. 1161, pp. 338403-338403
Closed Access | Times Cited: 124

Aptamer–Protein Interactions: From Regulation to Biomolecular Detection
Cailing Ji, Junyuan Wei, Lei Zhang, et al.
Chemical Reviews (2023) Vol. 123, Iss. 22, pp. 12471-12506
Closed Access | Times Cited: 47

Design and Prediction of Aptamers Assisted by In Silico Methods
Su Jin Lee, Junmin Cho, Byung‐Hoon Lee, et al.
Biomedicines (2023) Vol. 11, Iss. 2, pp. 356-356
Open Access | Times Cited: 36

Aptamers as an approach to targeted cancer therapy
Fatemeh Mahmoudian, Azin Ahmari, Shiva Shabani, et al.
Cancer Cell International (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 19

Nucleic acid-based wearable and implantable electrochemical sensors
Cui Ye, Heather Lukas, Minqiang Wang, et al.
Chemical Society Reviews (2024) Vol. 53, Iss. 15, pp. 7960-7982
Closed Access | Times Cited: 16

Methods and Applications of In Silico Aptamer Design and Modeling
Andrey A. Buglak, Alexey V. Samokhvalov, Anatoly V. Zherdev, et al.
International Journal of Molecular Sciences (2020) Vol. 21, Iss. 22, pp. 8420-8420
Open Access | Times Cited: 102

Artificial Intelligence in Aptamer–Target Binding Prediction
Zihao Chen, Long Hu, Bao‐Ting Zhang, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 7, pp. 3605-3605
Open Access | Times Cited: 66

Artificial Intelligence in Point-of-Care Biosensing: Challenges and Opportunities
Connor D. Flynn, Dingran Chang
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1100-1100
Open Access | Times Cited: 11

Introduce a novel, extremely sensitive aptamer against staphylococcal enterotoxin type D
Arezoo Fallah, Abbas Ali Imani Fooladi, Hamid Sedighian, et al.
International Journal of Biological Macromolecules (2025), pp. 140567-140567
Closed Access

Rationally Designed Multivalent Aptamers Targeting Cell Surface for Biomedical Applications
Meihua Lin, Jian Zhang, Hao Wan, et al.
ACS Applied Materials & Interfaces (2020) Vol. 13, Iss. 8, pp. 9369-9389
Closed Access | Times Cited: 60

Scan and Unlock: A Programmable DNA Molecular Automaton for Cell‐Selective Activation of Ligand‐Based Signaling
Jinghui Zhang, Zongyang Qiu, Jiahui Fan, et al.
Angewandte Chemie International Edition (2020) Vol. 60, Iss. 12, pp. 6733-6743
Closed Access | Times Cited: 56

Computational tools for aptamer identification and optimization
Di Sun, Miao Sun, Jialü Zhang, et al.
TrAC Trends in Analytical Chemistry (2022) Vol. 157, pp. 116767-116767
Closed Access | Times Cited: 31

Could artificial intelligence revolutionize the development of nanovectors for gene therapy and mRNA vaccines?
Akbar Hasanzadeh, Michael R. Hamblin, Jafar Kiani, et al.
Nano Today (2022) Vol. 47, pp. 101665-101665
Open Access | Times Cited: 30

Machine Learning Directed Aptamer Search from Conserved Primary Sequences and Secondary Structures
Javier Perez Tobia, Po‐Jung Jimmy Huang, Yuzhe Ding, et al.
ACS Synthetic Biology (2023) Vol. 12, Iss. 1, pp. 186-195
Open Access | Times Cited: 17

Current developments of SELEX technologies and prospects in the aptamer selection with clinical applications
Danny CHINCHILLA-CÁRDENAS, Juan Sebastian Cruz-Méndez, Julieth Michel Petano-Duque, et al.
Journal of Genetic Engineering and Biotechnology (2024) Vol. 22, Iss. 3, pp. 100400-100400
Open Access | Times Cited: 4

Smart Approach for the Design of Highly Selective Aptamer-Based Biosensors
Ali Douaki, Denis Garoli, A. K. M. Sarwar Inam, et al.
Biosensors (2022) Vol. 12, Iss. 8, pp. 574-574
Open Access | Times Cited: 22

In Silico discovery of aptamers with an enhanced library design strategy
Long Chen, Bibi Zhang, Zengrui Wu, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 1005-1013
Open Access | Times Cited: 12

Aptamers targeting amyloidogenic proteins and their emerging role in neurodegenerative diseases
Kazuma Murakami, Naotaka Izuo, Gal Bitan
Journal of Biological Chemistry (2021) Vol. 298, Iss. 1, pp. 101478-101478
Open Access | Times Cited: 26

A review: Construction of aptamer screening methods based on improving the screening rate of key steps
Xunjiao Wei, Pengfei Ma, Khan Imran Mahmood, et al.
Talanta (2022) Vol. 253, pp. 124003-124003
Closed Access | Times Cited: 20

Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection
Andrea Di Gioacchino, Jonah Procyk, Marco Molari, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 9, pp. e1010561-e1010561
Open Access | Times Cited: 17

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