Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Target Prediction Model for Natural Products Using Transfer Learning
Bo Qiang, Junyong Lai, Hongwei Jin, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 9, pp. 4632-4632
Open Access | Times Cited: 12

Showing 12 citing articles:

Future directions for the discovery of natural product-derived immunomodulating drugs: an IUPHAR positional review
Cherry L. Wainwright, Mauro Martins Teixeira, David L. Adelson, et al.
Pharmacological Research (2022) Vol. 177, pp. 106076-106076
Open Access | Times Cited: 53
Advances, opportunities, and challenges in methods for interrogating the structure activity relationships of natural products
Christine Mae F. Ancajas, Abiodun S. Oyedele, Caitlin M. Butt, et al.
Natural Product Reports (2024) Vol. 41, Iss. 10, pp. 1543-1578
Open Access | Times Cited: 7
How to Completely Squeeze a Fungus—Advanced Genome Mining Tools for Novel Bioactive Substances
Andreas Schüller, Lena Studt, Joseph Strauss
Pharmaceutics (2022) Vol. 14, Iss. 9, pp. 1837-1837
Open Access | Times Cited: 15
Computer-Aided Drug Design (CADD) to De-Orphanize Marine Molecules: Finding Potential Therapeutic Agents for Neurodegenerative and Cardiovascular Diseases
Laura Llorach-Parés, Alfons Nonell‐Canals, Conxita Àvila, et al.
Marine Drugs (2022) Vol. 20, Iss. 1, pp. 53-53
Open Access | Times Cited: 14
Combining multidimensional chromatography-mass spectrometry and feature-based molecular networking methods for the systematic characterization of compounds in the supercritical fluid extract of Tripterygium wilfordii Hook F
Boquan Qu, Yanfang Liu, Aijin Shen, et al.
The Analyst (2022) Vol. 148, Iss. 1, pp. 61-73
Closed Access | Times Cited: 14
Natural Product Databases for Drug Discovery: Features and Applications
Tao Zeng, Jiahao Li, Ruibo Wu
Pharmaceutical Science Advances (2024) Vol. 2, pp. 100050-100050
Open Access | Times Cited: 2
Data considerations for predictive modeling applied to the discovery of bioactive natural products
Hai Tao Xue, Michael Stanley-Baker, Adams Wai‐Kin Kong, et al.
Drug Discovery Today (2022) Vol. 27, Iss. 8, pp. 2235-2243
Open Access | Times Cited: 11
Inhibition Ability of Natural Compounds on Receptor-Binding Domain of SARS-CoV2: An In Silico Approach
Miroslava Nedyalkova, Mahdi Vasighi, Subrahmanyam Sappati, et al.
Pharmaceuticals (2021) Vol. 14, Iss. 12, pp. 1328-1328
Open Access | Times Cited: 12
A Multi-Label Learning Framework for Predicting Chemical Classes and Biological Activities of Natural Products from Biosynthetic Gene Clusters
Suyu Mei
Journal of Chemical Ecology (2023) Vol. 49, Iss. 11-12, pp. 681-695
Closed Access | Times Cited: 4
Nondestructive detection and classification of impurities-containing seed cotton based on hyperspectral imaging and one-dimensional convolutional neural network
Yeqi Fei, Zhenye Li, Tingting Zhu, et al.
Digital Communications and Networks (2024)
Open Access | Times Cited: 1
AI's role in pharmaceuticals: Assisting drug design from protein interactions to drug development
Solene Bechelli, Jérôme Delhommelle
Artificial Intelligence Chemistry (2023) Vol. 2, Iss. 1, pp. 100038-100038
Open Access | Times Cited: 2
Roles of artificial intelligence and machine learning approach in natural products-based drug discovery
Amit Pant, Goutam Kumar Jena, Shahira Mohammed Ezzat, et al.
Elsevier eBooks (2023), pp. 357-370
Closed Access
Page 1

Scroll to top