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:

Using chemical and biological data to predict drug toxicity
Anika Liu, Srijit Seal, Hongbin Yang, et al.
SLAS DISCOVERY (2023) Vol. 28, Iss. 3, pp. 53-64
Open Access | Times Cited: 37

Showing 26-50 of 37 citing articles:

A study on improving drug–drug interactions prediction using convolutional neural networks
Deepa Kumari, Dhruv Agrawal, Arjita Nema, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112242-112242
Closed Access | Times Cited: 1
Drug approval prediction based on the discrepancy in gene perturbation effects between cells and humans
Minhyuk Park, Donghyo Kim, Inhae Kim, et al.
EBioMedicine (2023) Vol. 94, pp. 104705-104705
Open Access | Times Cited: 3
From Pixels to Phenotypes: Integrating Image-Based Profiling with Cell Health Data Improves Interpretability
Srijit Seal, Jordi Carreras‐Puigvert, Anne E. Carpenter, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Insights into Drug Cardiotoxicity from Biological and Chemical Data: The First Public Classifiers for FDA DICTrank
Srijit Seal, Ola Spjuth, Layla Hosseini-Gerami, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Merging Bioactivity Predictions from Cell Morphology and Chemical Fingerprint Models Using Similarity to Training Data
Srijit Seal, Hongbin Yang, Maria‐Anna Trapotsi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 4
FSL-CP: a benchmark for small molecule activity few-shot prediction using cell microscopy images
Son V. Ha, Lucas Leuschner, Paul Czodrowski
Digital Discovery (2024) Vol. 3, Iss. 4, pp. 719-727
Open Access
Harnessing Instruction-Tuned Large Language Models to Mine Structured Omics Data for Predicting Chemical Toxicity
Yufan Liu, Guoping Lian, Tao Chen
Computer-aided chemical engineering/Computer aided chemical engineering (2024), pp. 2815-2820
Closed Access
Graph neural processes for molecules: an evaluation on docking scores and strategies to improve generalization
Miguel García-Ortegón, Srijit Seal, Carl Edward Rasmussen, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access
Insights into the Identification of iPSC- and Monocyte-Derived Macrophage-Polarizing Compounds by AI-Fueled Cell Painting Analysis Tools
Johanna B. Brüggenthies, Jakob Dittmer, Eva M. Garrido-Martín, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 22, pp. 12330-12330
Open Access
Rethinking the 'Best Method' Paradigm: The Effectiveness of Hybrid and Multidisciplinary Approaches in Chemoinformatics
José L. Medina‐Franco, Johny R. Rodríguez-Pérez, H. Hernández, et al.
Artificial Intelligence in the Life Sciences (2024), pp. 100117-100117
Open Access
Compound activity prediction with dose-dependent transcriptomic profiles and deep learning
William J. Godinez, Vladimir Trifonov, Bin Fang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Comparison of transcriptomic and phenomic profiles for the prediction of drug mechanism
In Yeop Baek, Taewon Go, Ting Ting Chung, et al.
Research Square (Research Square) (2023)
Open Access
Previous Page - Page 2

Scroll to top