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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:

Orchestrating and sharing large multimodal data for transparent and reproducible research
Anthony Mammoliti, Petr Smirnov, Minoru Nakano, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 18

Showing 18 citing articles:

Multimodal data fusion for cancer biomarker discovery with deep learning
Sandra Steyaert, Marija Pizurica, Divya Nagaraj, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 4, pp. 351-362
Open Access | Times Cited: 134
Integrative multi-omics and systems bioinformatics in translational neuroscience: A data mining perspective
Lance M. O’Connor, Blake A. O’Connor, Su Bin Lim, et al.
Journal of Pharmaceutical Analysis (2023) Vol. 13, Iss. 8, pp. 836-850
Open Access | Times Cited: 48
Integrating Multi-Omics Data With EHR for Precision Medicine Using Advanced Artificial Intelligence
Tong Li, Wenqi Shi, Monica Isgut, et al.
IEEE Reviews in Biomedical Engineering (2023) Vol. 17, pp. 80-97
Open Access | Times Cited: 28
The future of self-driving laboratories: from human in the loop interactive AI to gamification
Holland Hysmith, Elham Foadian, Shakti P. Padhy, et al.
Digital Discovery (2024) Vol. 3, Iss. 4, pp. 621-636
Open Access | Times Cited: 14
A data science roadmap for open science organizations engaged in early-stage drug discovery
Kristina Edfeldt, A.M. Edwards, Ola Engkvist, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 11
The FAIRification of research in real‐world evidence: A practical introduction to reproducible analytic workflows using Git and R
Janick Weberpals, Shirley Wang
Pharmacoepidemiology and Drug Safety (2024) Vol. 33, Iss. 1
Closed Access | Times Cited: 5
Development of Machine Learning Models for Predicting Radiation Dermatitis in Breast Cancer Patients using Clinical Risk Factors, Patient-Reported Outcomes, and Serum Cytokine Biomarkers
Neil Lin, Farnoosh Abbas‐Aghababazadeh, Jie Su, et al.
Clinical Breast Cancer (2025)
Open Access
Bayesian multi-source regression and monocyte-associated gene expression predict BCL-2 inhibitor resistance in acute myeloid leukemia
Brian S. White, Suleiman A. Khan, Mike J. Mason, et al.
npj Precision Oncology (2021) Vol. 5, Iss. 1
Open Access | Times Cited: 23
Out-of-distribution generalization from labelled and unlabelled gene expression data for drug response prediction
Hossein Sharifi-Noghabi, Parsa Alamzadeh Harjandi, Olga Zolotareva, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 11, pp. 962-972
Closed Access | Times Cited: 23
PharmacoDB 2.0: improving scalability and transparency of in vitro pharmacogenomics analysis
Nikta Feizi, Sisira Kadambat Nair, Petr Smirnov, et al.
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D1348-D1357
Open Access | Times Cited: 22
Evaluation of statistical approaches for association testing in noisy drug screening data
Petr Smirnov, Ian C. P. Smith, Zhaleh Safikhani, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 11
Reusability report: Evaluating reproducibility and reusability of a fine-tuned model to predict drug response in cancer patient samples
Emily So, Fengqing Yu, Bo Wang, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 7, pp. 792-798
Closed Access | Times Cited: 5
Text-mining-based feature selection for anticancer drug response prediction
Grace C. Wu, Arvin Zaker, Amirhosein Ebrahimi, et al.
Bioinformatics Advances (2024) Vol. 4, Iss. 1
Open Access
98 An open-source foundation for head and neck radiomics
Katy L. Scott, Sejin Kim, Jermiah J. Joseph, et al.
Radiotherapy and Oncology (2024) Vol. 192, pp. S22-S25
Closed Access
Distributed Deep Learning-Based Model for Financial Fraud Detection in Supply Chain Networks
Lahcen Tamym, Lyès Benyoucef
Lecture notes in networks and systems (2024), pp. 43-53
Closed Access
Meta-analysis of preclinical pharmacogenomic studies to discover robust and translatable biomarkers of drug response
Petr Smirnov, Sisira Kadambat Nair, Farnoosh Abbas‐Aghababazadeh, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
Detection of circular RNAs and their potential as biomarkers predictive of drug response
Julia Nguyen, Anthony Mammoliti, Sisira Kadambat Nair, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Reusability Report: Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients
Emily So, Fengqing Yu, Bo Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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