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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:

Harnessing multimodal data integration to advance precision oncology
Kevin M. Boehm, Pegah Khosravi, R. Vanguri, et al.
Nature reviews. Cancer (2021) Vol. 22, Iss. 2, pp. 114-126
Open Access | Times Cited: 313

Showing 1-25 of 313 citing articles:

The evolving tumor microenvironment: From cancer initiation to metastatic outgrowth
Karin E. de Visser, Johanna A. Joyce
Cancer Cell (2023) Vol. 41, Iss. 3, pp. 374-403
Open Access | Times Cited: 1387
Multimodal biomedical AI
Julián Acosta, Guido J. Falcone, Pranav Rajpurkar, et al.
Nature Medicine (2022) Vol. 28, Iss. 9, pp. 1773-1784
Open Access | Times Cited: 547
Artificial intelligence for multimodal data integration in oncology
Jana Lipková, Richard J. Chen, Bowen Chen, et al.
Cancer Cell (2022) Vol. 40, Iss. 10, pp. 1095-1110
Open Access | Times Cited: 305
Artificial intelligence in histopathology: enhancing cancer research and clinical oncology
Artem Shmatko, Narmin Ghaffari Laleh, Moritz Gerstung, et al.
Nature Cancer (2022) Vol. 3, Iss. 9, pp. 1026-1038
Closed Access | Times Cited: 238
From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment
Kyle Swanson, Eric Q. Wu, Angela Zhang, et al.
Cell (2023) Vol. 186, Iss. 8, pp. 1772-1791
Closed Access | Times Cited: 236
Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer
Kevin M. Boehm, Emily A. Aherne, Lora H. Ellenson, et al.
Nature Cancer (2022) Vol. 3, Iss. 6, pp. 723-733
Open Access | Times Cited: 192
Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L)1 blockade in patients with non-small cell lung cancer
R. Vanguri, Jia Luo, Andrew Aukerman, et al.
Nature Cancer (2022) Vol. 3, Iss. 10, pp. 1151-1164
Open Access | Times Cited: 184
Big data in basic and translational cancer research
Peng Jiang, Sanju Sinha, Kenneth Aldape, et al.
Nature reviews. Cancer (2022) Vol. 22, Iss. 11, pp. 625-639
Open Access | Times Cited: 155
Swarm learning for decentralized artificial intelligence in cancer histopathology
Oliver Lester Saldanha, Philip Quirke, Nicholas P. West, et al.
Nature Medicine (2022) Vol. 28, Iss. 6, pp. 1232-1239
Open Access | Times Cited: 144
Artificial intelligence-based multi-omics analysis fuels cancer precision medicine
Xiujing He, Xiaowei Liu, Fengli Zuo, et al.
Seminars in Cancer Biology (2022) Vol. 88, pp. 187-200
Open Access | Times Cited: 142
Developing a Data and Analytics Platform to Enable a Breast Cancer Learning Health System at a Regional Cancer Center
Jeremy Petch, Joel Kempainnen, Christopher Pettengell, et al.
JCO Clinical Cancer Informatics (2023), Iss. 7
Open Access | Times Cited: 134
A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
Hong-Yu Zhou, Yizhou Yu, Chengdi Wang, et al.
Nature Biomedical Engineering (2023) Vol. 7, Iss. 6, pp. 743-755
Open Access | Times Cited: 116
Biomarkers for immunotherapy of hepatocellular carcinoma
Tim F. Greten, Augusto Villanueva, Firouzeh Korangy, et al.
Nature Reviews Clinical Oncology (2023) Vol. 20, Iss. 11, pp. 780-798
Closed Access | Times Cited: 92
Artificial intelligence for predictive biomarker discovery in immuno-oncology: a systematic review
Arsela Prelaj, Vanja Mišković, Michele Zanitti, et al.
Annals of Oncology (2023) Vol. 35, Iss. 1, pp. 29-65
Open Access | Times Cited: 91
Artificial Intelligence in Oncology: Current Capabilities, Future Opportunities, and Ethical Considerations
Jacob Shreve, Sadia Khanani, Tufia C. Haddad
American Society of Clinical Oncology Educational Book (2022), Iss. 42, pp. 842-851
Open Access | Times Cited: 85
Artificial intelligence for digital and computational pathology
Andrew H. Song, Guillaume Jaume, Drew F. K. Williamson, et al.
Nature Reviews Bioengineering (2023) Vol. 1, Iss. 12, pp. 930-949
Closed Access | Times Cited: 80
Deep multimodal fusion of image and non-image data in disease diagnosis and prognosis: a review
Can Cui, Haichun Yang, Yaohong Wang, et al.
Progress in Biomedical Engineering (2023) Vol. 5, Iss. 2, pp. 022001-022001
Open Access | Times Cited: 76
A benchmark study of deep learning-based multi-omics data fusion methods for cancer
Dongjin Leng, Linyi Zheng, Yuqi Wen, et al.
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 74
The long-term health outcomes, pathophysiological mechanisms and multidisciplinary management of long COVID
Jingwei Li, Yun Zhou, Jiechao Ma, et al.
Signal Transduction and Targeted Therapy (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 59
A guide to artificial intelligence for cancer researchers
Raquel Pérez-López, Narmin Ghaffari Laleh, Faisal Mahmood, et al.
Nature reviews. Cancer (2024) Vol. 24, Iss. 6, pp. 427-441
Closed Access | Times Cited: 55
A comprehensive review of machine learning algorithms and their application in geriatric medicine: present and future
Richard Woodman, Arduino A. Mangoni
Aging Clinical and Experimental Research (2023) Vol. 35, Iss. 11, pp. 2363-2397
Open Access | Times Cited: 48
Toward Explainable Artificial Intelligence for Precision Pathology
Frederick Klauschen, Jonas Dippel, Philipp Keyl, et al.
Annual Review of Pathology Mechanisms of Disease (2023) Vol. 19, Iss. 1, pp. 541-570
Open Access | Times Cited: 48
Shifting the Cancer Screening Paradigm: The Rising Potential of Blood-Based Multi-Cancer Early Detection Tests
Tiago Brito-Rocha, Vera Constâncio, Rui Henrique, et al.
Cells (2023) Vol. 12, Iss. 6, pp. 935-935
Open Access | Times Cited: 47
A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom
Thanveer Shaik, Xiaohui Tao, Lin Li, et al.
Information Fusion (2023) Vol. 102, pp. 102040-102040
Open Access | Times Cited: 47
Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment
Sirvan Khalighi, Kartik Reddy, Abhishek Midya, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 44
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