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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:

HAPPENN is a novel tool for hemolytic activity prediction for therapeutic peptides which employs neural networks
Patrick Brendan Timmons, Chandralal M. Hewage
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 118

Showing 26-50 of 118 citing articles:

Structure‐aware deep learning model for peptide toxicity prediction
Hossein Ebrahimikondori, Darcy Sutherland, Anat Yanai, et al.
Protein Science (2024) Vol. 33, Iss. 7
Open Access | Times Cited: 5
Peptide-based strategies for overcoming biofilm-associated infections: a comprehensive review
T. Manobala
Critical Reviews in Microbiology (2024), pp. 1-18
Closed Access | Times Cited: 5
Multiquery Similarity Searching Models: An Alternative Approach for Predicting Hemolytic Activity from Peptide Sequence
Kevin Castillo-Mendieta, Guillermín Agüero‐Chapín, Edgar Márquez, et al.
Chemical Research in Toxicology (2024) Vol. 37, Iss. 4, pp. 580-589
Closed Access | Times Cited: 4
Development of a defibrinated human blood hemolysis assay for rapid testing of hemolytic activity compared to computational prediction
Ashley M. Carpenter, Monique L. van Hoek
Journal of Immunological Methods (2024) Vol. 529, pp. 113670-113670
Closed Access | Times Cited: 4
Advances in cyclotide research: bioactivity to cyclotide-based therapeutics
Ankita Grover, Sawraj Singh, Sonal Sindhu, et al.
Molecular Diversity (2025)
Closed Access
Exploring the repository of de novo designed bifunctional antimicrobial peptides through deep learning
Ruihan Dong, Rongrong Liu, Ziyu Liu, et al.
(2025)
Open Access
Exploring the repository of de novo-designed bifunctional antimicrobial peptides through deep learning
Ruihan Dong, Rongrong Liu, Ziyu Liu, et al.
eLife (2025) Vol. 13
Open Access
Enhancing Antimicrobial Peptides from Frog Skin: A Rational Approach
Silvana Aguilar, Daniel C. Moreira, Ana Laura Pereira Lourenço, et al.
Biomolecules (2025) Vol. 15, Iss. 3, pp. 449-449
Open Access
Effect of bovine milk-derived peptide on SNAP-25 of the neurotransmitter system in treating the sialorrhoea in chronic neurological diseases
Jency Roshni, S. Mahema, V. Janakiraman, et al.
Food Science and Biotechnology (2025)
Closed Access
Cationic antimicrobial peptides: potential templates for anticancer agents
Yahson Fernando Varela-Quitián, Fabio Enrique Mendez-Rivera, David Andrés Bernal-Estévez
Frontiers in Medicine (2025) Vol. 12
Open Access
ENNAACT is a novel tool which employs neural networks for anticancer activity classification for therapeutic peptides
Patrick Brendan Timmons, Chandralal M. Hewage
Biomedicine & Pharmacotherapy (2020) Vol. 133, pp. 111051-111051
Open Access | Times Cited: 32
The Pharmacological Potential of Novel Melittin Variants from the Honeybee and Solitary Bees against Inflammation and Cancer
Pelin Erkoc, Björn M. von Reumont, Tim Lüddecke, et al.
Toxins (2022) Vol. 14, Iss. 12, pp. 818-818
Open Access | Times Cited: 18
Novel Antimicrobial Peptides Designed Using a Recurrent Neural Network Reduce Mortality in Experimental Sepsis
Albert Bolatchiev, Vladimir Baturin, Evgeny Shchetinin, et al.
Antibiotics (2022) Vol. 11, Iss. 3, pp. 411-411
Open Access | Times Cited: 17
De Novo Design of AC-P19M, a Novel Anticancer Peptide with Apoptotic Effects on Lung Cancer Cells and Anti-Angiogenic Activity
Min Kyoung Shin, Bo-Young Jang, Kyung-Bin Bu, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 24, pp. 15594-15594
Open Access | Times Cited: 17
AMP-GSM: Prediction of Antimicrobial Peptides via a Grouping–Scoring–Modeling Approach
Ümmü Gülsüm Söylemez, Malik Yousef, Burcu Bakır-Güngör
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5106-5106
Open Access | Times Cited: 10
Computational Screening for the Dipeptidyl Peptidase-IV Inhibitory Peptides from Putative Hemp Seed Hydrolyzed Peptidome as a Potential Antidiabetic Agent
Arisa Thongtak, Kulpariya Yutisayanuwat, Nathaphat Harnkit, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 11, pp. 5730-5730
Open Access | Times Cited: 3
Predicting antibacterial activity, efficacy, and hemotoxicity of peptides using an explainable machine learning framework
Pranshul Bhatnagar, Yashi Khandelwal, Shagun Mishra, et al.
Process Biochemistry (2024) Vol. 145, pp. 163-174
Closed Access | Times Cited: 3
Recent approaches in the application of antimicrobial peptides in food preservation
Satparkash Singh, Bhavna Jha, Pratiksha Tiwari, et al.
World Journal of Microbiology and Biotechnology (2024) Vol. 40, Iss. 10
Closed Access | Times Cited: 3
Prediction of hemolytic peptides and their hemolytic concentration
Anand Singh Rathore, Nishant Kumar, Shubham Choudhury, et al.
Communications Biology (2025) Vol. 8, Iss. 1
Open Access
Anti-BioEn: An advanced framework for accurate bioactive agent classification based on hybrid models and graph feature encoding method
Shazzad Hossain Shaon, Farooq Sultan, Tasmin Karim, et al.
BIO Web of Conferences (2025) Vol. 163, pp. 01007-01007
Open Access
Computational analysis of antimicrobial peptides targeting key receptors in infection-related cardiovascular diseases: molecular docking and dynamics insights
Doni Dermawan, Nasser Alotaiq
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Designed Multifunctional Peptides for Intracellular Targets
Davor Juretić
Antibiotics (2022) Vol. 11, Iss. 9, pp. 1196-1196
Open Access | Times Cited: 16
Tackling the Antimicrobial Resistance “Pandemic” with Machine Learning Tools: A Summary of Available Evidence
Doris Rušić, Marko Kumrić, Ana Šešelja Perišin, et al.
Microorganisms (2024) Vol. 12, Iss. 5, pp. 842-842
Open Access | Times Cited: 3
HemoNet: Predicting hemolytic activity of peptides with integrated feature learning
Adiba Yaseen, Sadaf Gull, Naeem Akhtar, et al.
Journal of Bioinformatics and Computational Biology (2021) Vol. 19, Iss. 05
Open Access | Times Cited: 20
Antimicrobial-wound healing peptides: Dual-function molecules for the treatment of skin injuries
Guilherme Sastre de Souza, Leandra de Jesus Sonego, Ana Clara Santos Mundim, et al.
Peptides (2021) Vol. 148, pp. 170707-170707
Closed Access | Times Cited: 20

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