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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:

Using machine learning approach for screening metastatic biomarkers in colorectal cancer and predictive modeling with experimental validation
Amirhossein Ahmadieh-Yazdi, Ali Mahdavinezhad, Leili Tapak, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10

Showing 10 citing articles:

Fusobacterium nucleatum modulates the Wnt/β-catenin pathway in colorectal cancer development
Tanushree Mondal, Debasish Chattopadhyay, P. Mondal, et al.
International Journal of Biological Macromolecules (2025) Vol. 299, pp. 140196-140196
Closed Access | Times Cited: 2
Molecular Complexity of Colorectal Cancer: Pathways, Biomarkers, and Therapeutic Strategies
Zhengdong Yang, Xinyang Wang, Huiying Zhou, et al.
Cancer Management and Research (2024) Vol. Volume 16, pp. 1389-1403
Open Access | Times Cited: 8
Clinical Validation of a Machine Learning-Based Biomarker Signature to Predict Response to Cytotoxic Chemotherapy Alone or Combined with Targeted Therapy in Metastatic Colorectal Cancer Patients: A Study Protocol and Review
Duilio Pagano, Vincenza Barresi, Alessandro Tropea, et al.
Life (2025) Vol. 15, Iss. 2, pp. 320-320
Open Access | Times Cited: 1
Optimizing prediction of metastasis among colorectal cancer patients using machine learning technology
Raoof Nopour
BMC Gastroenterology (2025) Vol. 25, Iss. 1
Open Access
Identification of BANF1 as a novel prognostic biomarker in gastric cancer and validation via in-vitro and in-vivo experiments
Yuanmin Xu, Xu Wang, Weiwei Yuan, et al.
Aging (2024) Vol. 16, Iss. 2, pp. 1808-1828
Open Access | Times Cited: 2
A pan-cancer analysis indicates long noncoding RNA HAND2-AS1 as a potential prognostic, immunomodulatory and therapeutic biomarker in various cancers including colorectal adenocarcinoma
Pouria Samadi, Mina Shahnazari, Abolfazl Shekari, et al.
Cancer Cell International (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 6
Glycosylation-related genes mediated prognostic signature contribute to prognostic prediction and treatment options in ovarian cancer: based on bulk and single‑cell RNA sequencing data
Yue You, Qing Yang
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Development and validation of a biomarker-based prediction model for metastasis in patients with colorectal cancer: application of machine learning algorithms
Erfan Ayubi, Sajjad Farashi, Leili Tapak, et al.
Heliyon (2024) Vol. 11, Iss. 1, pp. e41443-e41443
Open Access | Times Cited: 1
Identification of novel diagnostic biomarkers associated with liver metastasis in colon adenocarcinoma by machine learning
Yang Long, Ye Tian, Xiaofei Cao, et al.
Discover Oncology (2024) Vol. 15, Iss. 1
Open Access
Biomarkers and predictive factors in colorectal cancer treatment resistance
Rahaba Marima, Olalekan Fadebi, Afra Basera, et al.
Elsevier eBooks (2024), pp. 41-63
Closed Access
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