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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:

Integrative radiogenomics analysis for predicting molecular features and survival in clear cell renal cell carcinoma
Hao Zeng, Linyan Chen, Manni Wang, et al.
Aging (2021) Vol. 13, Iss. 7, pp. 9960-9975
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Undisclosed, unmet and neglected challenges in multi-omics studies
Sonia Tarazona, Ángeles Arzalluz-Luque, Ana Conesa
Nature Computational Science (2021) Vol. 1, Iss. 6, pp. 395-402
Open Access | Times Cited: 116
Radiogenomics in Renal Cancer Management—Current Evidence and Future Prospects
Matteo Ferro, Gennaro Musi, Michele Marchioni, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 5, pp. 4615-4615
Open Access | Times Cited: 56
Application of radiomics-based multiomics combinations in the tumor microenvironment and cancer prognosis
Wendi Kang, Xiang Qiu, Yingen Luo, et al.
Journal of Translational Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 44
Radiogenomics: a key component of precision cancer medicine
Zaoqu Liu, Tian Duan, Yuyuan Zhang, et al.
British Journal of Cancer (2023) Vol. 129, Iss. 5, pp. 741-753
Open Access | Times Cited: 43
A review of radiomics and genomics applications in cancers: the way towards precision medicine
Simin Li, Baosen Zhou
Radiation Oncology (2022) Vol. 17, Iss. 1
Open Access | Times Cited: 50
The application of radiomics in predicting gene mutations in cancer
Yana Qi, Tingting Zhao, Mingyong Han
European Radiology (2022) Vol. 32, Iss. 6, pp. 4014-4024
Closed Access | Times Cited: 43
Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration
Lise Wei, Dipesh Niraula, Evan Gates, et al.
British Journal of Radiology (2023) Vol. 96, Iss. 1150
Open Access | Times Cited: 34
Artificial Intelligence-based Radiomics in the Era of Immuno-oncology
Cyra Y. Kang, Samantha Duarte, Hye Sung Kim, et al.
The Oncologist (2022) Vol. 27, Iss. 6, pp. e471-e483
Open Access | Times Cited: 25
Radiogenomics and Texture Analysis to Detect von Hippel–Lindau (VHL) Mutation in Clear Cell Renal Cell Carcinoma
Federico Greco, Valerio D’Andrea, Bruno Beomonte Zobel, et al.
Current Issues in Molecular Biology (2024) Vol. 46, Iss. 4, pp. 3236-3250
Open Access | Times Cited: 5
Radiology and multi-scale data integration for precision oncology
Hania Paverd, Konstantinos Zormpas‐Petridis, Hannah Clayton, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 5
Integrated Multi-Omics Analysis Model to Identify Biomarkers Associated With Prognosis of Breast Cancer
Yeye Fan, Chun-Yu Kao, Yang Fu, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 19
From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients
Yusheng Guo, Tianxiang Li, Bingxin Gong, et al.
Advanced Science (2024) Vol. 12, Iss. 2
Open Access | Times Cited: 3
The Next Paradigm Shift in the Management of Clear Cell Renal Cancer: Radiogenomics—Definition, Current Advances, and Future Directions
Nikhil Gopal, Pouria Yazdian Anari, Evrim Türkbey, et al.
Cancers (2022) Vol. 14, Iss. 3, pp. 793-793
Open Access | Times Cited: 14
Preoperative Contrast-Enhanced CT-Based Deep Learning Radiomics Model for Distinguishing Retroperitoneal Lipomas and Well‑Differentiated Liposarcomas
Jun Xu, Lei Miao, Chenxi Wang, et al.
Academic Radiology (2024) Vol. 31, Iss. 12, pp. 5042-5053
Open Access | Times Cited: 2
Radiomics Analysis of Contrast-Enhanced CT Predicts Survival in Clear Cell Renal Cell Carcinoma
Lei Yan, Guangjie Yang, Jingjing Cui, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 13
Virtual biopsy in abdominal pathology: where do we stand?
Arianna Defeudis, Jovana Panić, Giulia Nicoletti, et al.
BJR|Open (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 5
Radiogenomics study to predict the nuclear grade of renal clear cell carcinoma
Xuan-ming He, Jian-Xin Zhao, Di-liang He, et al.
European Journal of Radiology Open (2023) Vol. 10, pp. 100476-100476
Open Access | Times Cited: 4
A Machine Learning Framework for Diagnosing and Predicting the Severity of Coronary Artery Disease
Aikeliyaer Ainiwaer, Wenqing Hou, Kaisaierjiang Kadier, et al.
Reviews in Cardiovascular Medicine (2023) Vol. 24, Iss. 6
Open Access | Times Cited: 4
A multi-model based on radiogenomics and deep learning techniques associated with histological grade and survival in clear cell renal cell carcinoma
Shihui Wang, Chao Zhu, Yidong Jin, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Advancements in Radiogenomics for Clear Cell Renal Cell Carcinoma: Understanding the Impact of BAP1 Mutation
Federico Greco, Valerio D’Andrea, Andrea Buoso, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 13, pp. 3960-3960
Open Access | Times Cited: 1
Clear Cell Renal Cell Carcinoma: Characterizing the Phenotype of Von Hippel–Lindau Mutation Using MRI
Xu Bai, Cheng Peng, Baichuan Liu, et al.
Journal of Magnetic Resonance Imaging (2024)
Closed Access | Times Cited: 1
Radiogenomics: bridging the gap between imaging and genomics for precision oncology
Wenle He, Wenhui Huang, Lu Zhang, et al.
MedComm (2024) Vol. 5, Iss. 9
Open Access | Times Cited: 1
MRI T2WI-based radiomics combined with KRAS gene mutation constructed models for predicting liver metastasis in rectal cancer
Jiaqi Ma, Xinsheng Nie, X H Kong, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
BRCA1-Associated Protein 1 (BAP-1) as a Prognostic and Predictive Biomarker in Clear Cell Renal Cell Carcinoma: A Systematic Review
Shuchi Gulati, Melissa Previtera, Primo N. Lara
Kidney Cancer (2021) Vol. 6, Iss. 1, pp. 23-35
Open Access | Times Cited: 7
Integration of the Microbiome, Metabolome and Transcriptome Reveals Escherichia coli F17 Susceptibility of Sheep
Weihao Chen, Xiaoyang Lv, Xiukai Cao, et al.
Animals (2023) Vol. 13, Iss. 6, pp. 1050-1050
Open Access | Times Cited: 2
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