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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:

Gut microbiome, big data and machine learning to promote precision medicine for cancer
Giovanni Cammarota, Gianluca Ianiro, Anna M. Ahern, et al.
Nature Reviews Gastroenterology & Hepatology (2020) Vol. 17, Iss. 10, pp. 635-648
Closed Access | Times Cited: 241

Showing 26-50 of 241 citing articles:

Predicting drug-microbiome interactions with machine learning
Laura E. McCoubrey, Simon Gaisford, Mine Orlu, et al.
Biotechnology Advances (2021) Vol. 54, pp. 107797-107797
Open Access | Times Cited: 62
The state of the art for artificial intelligence in lung digital pathology
Vidya Sankar Viswanathan, Paula Toro, Germán Corredor, et al.
The Journal of Pathology (2022) Vol. 257, Iss. 4, pp. 413-429
Open Access | Times Cited: 62
Probiotic Supplements on Oncology Patients’ Treatment-Related Side Effects: A Systematic Review of Randomized Controlled Trials
Miguel Rodriguez‐Arrastia, Adrian Martinez‐Ortigosa, Lola Rueda‐Ruzafa, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 8, pp. 4265-4265
Open Access | Times Cited: 61
Human gut microbiome aging clocks based on taxonomic and functional signatures through multi-view learning
Yutao Chen, Hongchao Wang, Wenwei Lu, et al.
Gut Microbes (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 60
XGBoost-based and tumor-immune characterized gene signature for the prediction of metastatic status in breast cancer
Qingqing Li, Hui Yang, Peipei Wang, et al.
Journal of Translational Medicine (2022) Vol. 20, Iss. 1
Open Access | Times Cited: 59
Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine
Habiba Abdelhalim, Asude Berber, Mudassir Lodi, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 48
Perspective: Leveraging the Gut Microbiota to Predict Personalized Responses to Dietary, Prebiotic, and Probiotic Interventions
Sean M. Gibbons, Thomas Gurry, Johanna W. Lampe, et al.
Advances in Nutrition (2022) Vol. 13, Iss. 5, pp. 1450-1461
Open Access | Times Cited: 44
Nature-inspired metaheuristics model for gene selection and classification of biomedical microarray data
Rabia Musheer Aziz
Medical & Biological Engineering & Computing (2022) Vol. 60, Iss. 6, pp. 1627-1646
Closed Access | Times Cited: 43
Artificial intelligence in food science and nutrition: a narrative review
Taiki Miyazawa, Yoichi Hiratsuka, Masako Toda, et al.
Nutrition Reviews (2022) Vol. 80, Iss. 12, pp. 2288-2300
Closed Access | Times Cited: 41
Machine learning in the identification, prediction and exploration of environmental toxicology: Challenges and perspectives
Xiaotong Wu, Qixing Zhou, Mu Li, et al.
Journal of Hazardous Materials (2022) Vol. 438, pp. 129487-129487
Closed Access | Times Cited: 40
Exploring the Potent Anticancer Activity of Essential Oils and Their Bioactive Compounds: Mechanisms and Prospects for Future Cancer Therapy
Fatouma Mohamed Abdoul‐Latif, Ayoub Ainane, Ibrahim Houmed Aboubaker, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 8, pp. 1086-1086
Open Access | Times Cited: 39
Machine learning approaches in microbiome research: challenges and best practices
Γεώργιος Παπουτσόγλου, Sonia Tarazona, Marta B. Lopes, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 39
Machine learning-enabled optimization of extrusion-based 3D printing
Sajjad Rahmani Dabbagh, Oğuzhan Özcan, Savaş Taşoğlu
Methods (2022) Vol. 206, pp. 27-40
Closed Access | Times Cited: 38
A Microbial-Based Approach to Mental Health: The Potential of Probiotics in the Treatment of Depression
Dinyadarshini Johnson, Vengadesh Letchumanan, C. Thum, et al.
Nutrients (2023) Vol. 15, Iss. 6, pp. 1382-1382
Open Access | Times Cited: 28
Gut microbiota: A magical multifunctional target regulated by medicine food homology species
Wei‐Fang Zuo, Qiwen Pang, Lai-Ping Yao, et al.
Journal of Advanced Research (2023) Vol. 52, pp. 151-170
Open Access | Times Cited: 27
The Next Generation Fecal Microbiota Transplantation: To Transplant Bacteria or Virome
You Yu, Weihong Wang, Faming Zhang
Advanced Science (2023) Vol. 10, Iss. 35
Open Access | Times Cited: 24
Gut microbiome features and metabolites in non-alcoholic fatty liver disease among community-dwelling middle-aged and older adults
Fangfang Zeng, Xin Su, Xinxiu Liang, et al.
BMC Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 14
Scientists’ call to action: Microbes, planetary health, and the Sustainable Development Goals
Thomas W. Crowther, Rino Rappuoli, Cinzia Corinaldesi, et al.
Cell (2024) Vol. 187, Iss. 19, pp. 5195-5216
Open Access | Times Cited: 14
Deciphering the gut microbiome: The revolution of artificial intelligence in microbiota analysis and intervention
Mohammad Abavisani, Alireza Khoshrou, Sobhan Karbas Foroushan, et al.
Current Research in Biotechnology (2024) Vol. 7, pp. 100211-100211
Open Access | Times Cited: 12
Microbiome and pancreatic cancer: time to think about chemotherapy
Juliana de Castilhos, Katharina Tillmanns, J. A. BLESSING, et al.
Gut Microbes (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 8
Cervicovaginal microbiome, high-risk HPV infection and cervical cancer: Mechanisms and therapeutic potential
Roujie Huang, Zimo Liu, Tianshu Sun, et al.
Microbiological Research (2024) Vol. 287, pp. 127857-127857
Open Access | Times Cited: 8
Synergizing Artificial Intelligence and Probiotics: A Comprehensive Review of Emerging Applications in Health Promotion and Industrial Innovation
Xin Han, Q. D. Liu, Yun Li, et al.
Trends in Food Science & Technology (2025), pp. 104938-104938
Closed Access | Times Cited: 1
Omics in gut microbiome analysis
Tae Woong Whon, Na‐Ri Shin, Joon Yong Kim, et al.
The Journal of Microbiology (2021) Vol. 59, Iss. 3, pp. 292-297
Closed Access | Times Cited: 52
Chemotherapeutic drugs: Cell death- and resistance-related signaling pathways. Are they really as smart as the tumor cells?
Mojtaba Mollaei, Zuhair Mohammad Hassan, Fatemeh Khorshidi, et al.
Translational Oncology (2021) Vol. 14, Iss. 5, pp. 101056-101056
Open Access | Times Cited: 47
An overview of machine learning methods for monotherapy drug response prediction
Farzaneh Firoozbakht, Behnam Yousefi, Benno Schwikowski
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 43

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