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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:

Leveraging machine learning models for peptide–protein interaction prediction
Yin Song, Xuenan Mi, Diwakar Shukla
RSC Chemical Biology (2024) Vol. 5, Iss. 5, pp. 401-417
Open Access | Times Cited: 15

Showing 15 citing articles:

Evaluation of Structure Prediction and Molecular Docking Tools for Therapeutic Peptides in Clinical Use and Trials Targeting Coronary Artery Disease
Nasser Alotaiq, Doni Dermawan
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 2, pp. 462-462
Open Access | Times Cited: 1
A quantitative intracellular peptide binding assay reveals recognition determinants and context dependence of short linear motifs
Mythili S. Subbanna, Matthew J. Winters, Mihkel Örd, et al.
Journal of Biological Chemistry (2025), pp. 108225-108225
Open Access
Deep Learning for Predicting Biomolecular Binding Sites of Proteins
Minjie Mou, Zhichao Zhang, Ziqi Pan, et al.
Research (2025) Vol. 8
Open Access
Quantum Oncology
Bruno F. E. Matarèse, Arnie Purushotham
Quantum Reports (2025) Vol. 7, Iss. 1, pp. 9-9
Open Access
Understanding and Classification of Innate Immune Response through Weighted Edge Representation Learning with Dual Hypergraph Transformation
Mallikharjuna Rao Sakhamuri, Shagufta Henna, Leo Creedon, et al.
Results in Engineering (2025), pp. 104443-104443
Open Access
Chemically Engineered Peptide Efficiently Blocks Malaria Parasite Entry into Red Blood Cells
Anamika Biswas, Akash Narayan, Suman Sinha, et al.
Biochemistry (2025)
Closed Access
Main methods and tools for peptide development based on protein-protein interactions (PPIs).
Javiera Baeza, Mauricio Bedoya, Pablo Cruz, et al.
Biochemical and Biophysical Research Communications (2025), pp. 151623-151623
Closed Access
Artificial intelligence in food bioactive peptides screening: Recent advances and future prospects
Ji Yoon Chang, Haitao Wang, Wentao Su, et al.
Trends in Food Science & Technology (2024), pp. 104845-104845
Closed Access | Times Cited: 2
Therapeutic peptides for coronary artery diseases: in silico methods and current perspectives
Ayça Aslan, Selcen Arı Yuka
Amino Acids (2024) Vol. 56, Iss. 1
Open Access | Times Cited: 1
Explainable Machine Learning Model to Accurately Predict Protein-Binding Peptides
Sayed Mehedi Azim, Aravind Balasubramanyam, Sheikh Rabiul Islam, et al.
Algorithms (2024) Vol. 17, Iss. 9, pp. 409-409
Open Access | Times Cited: 1
A quantitative intracellular peptide binding assay reveals recognition determinants and context dependence of short linear motifs
Mythili S. Subbanna, Matthew J. Winters, Mihkel Örd, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Leveraging Machine Learning to Enhance Information Exploration
Nikhil Ghadge
SSRN Electronic Journal (2024)
Closed Access
Leveraging Machine Learning to Enhance Information Exploration
Nikhil Ghadge
Machine Learning and Applications An International Journal (2024) Vol. 11, Iss. 2, pp. 17-27
Open Access
Understanding and Therapeutic Application of Immune Response in Major Histocompatibility Complex (MHC) Diversity Using Multimodal Artificial Intelligence
Yasunari Matsuzaka, Ryu Yashiro
BioMedInformatics (2024) Vol. 4, Iss. 3, pp. 1835-1864
Open Access
TPepPro: a deep learning model for predicting peptide-protein interactions
Jin Xiao-hong, Zimeng Chen, Dan Yu, et al.
Bioinformatics (2024) Vol. 41, Iss. 1
Open Access
In Silico Design of Peptide Inhibitors Targeting HER2 for Lung Cancer Therapy
Heba Alkhatabi, Hisham N. Alatyb
Cancers (2024) Vol. 16, Iss. 23, pp. 3979-3979
Open Access
Accurate sequence-to-affinity models for SH2 domains from multi-round peptide binding assays coupled with free-energy regression
Dejan Gagoski, H. Tomas Rube, Chaitanya Rastogi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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