Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Pan-cancer molecular subtypes of metastasis reveal distinct and evolving transcriptional programs
Yiqun Zhang, Fengju Chen, Chad J. Creighton
Cell Reports Medicine (2023) Vol. 4, Iss. 2, pp. 100932-100932
Open Access | Times Cited: 12

Showing 12 citing articles:

Global impact of somatic structural variation on the cancer proteome
Fengju Chen, Yiqun Zhang, Darshan S. Chandrashekar, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 21
Pan-cancer drivers of metastasis
Ryan Lusby, Engin Demirdizen, Mohammed Inayatullah, et al.
Molecular Cancer (2025) Vol. 24, Iss. 1
Open Access
Pan‐cancer analysis shapes the understanding of cancer biology and medicine
Xiaoping Cen, Yuanyuan Lan, Jiansheng Zou, et al.
Cancer Communications (2025)
Open Access
Molecular Subtyping and Survival Analysis of Osteosarcoma Reveals Prognostic Biomarkers and Key Canonical Pathways
Siddesh Southekal, Sushil Kumar Shakyawar, Prachi Bajpai, et al.
Cancers (2023) Vol. 15, Iss. 7, pp. 2134-2134
Open Access | Times Cited: 11
Application of deep learning-based multimodal fusion technology in cancer diagnosis: A survey
L. Yan, Liangrui Pan, Yijun Peng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109972-109972
Closed Access
Stability and variability of molecular subtypes: comparative analysis of primary and metastatic triple-negative breast cancer
Xiuzhi Zhu, Xiaohan Ying, Yin Liu, et al.
Cancer Biology and Medicine (2024), pp. 1-15
Open Access | Times Cited: 3
Comprehensive multi-omics analysis and experimental verification reveal PFDN5 is a novel prognostic and therapeutic biomarker for gastric cancer
Yanfei Shao, Galiya Yesseyeva, Yihao Zhi, et al.
Genomics (2024) Vol. 116, Iss. 2, pp. 110821-110821
Open Access | Times Cited: 2
Transcriptomic Maps of Colorectal Liver Metastasis: Machine Learning of Gene Activation Patterns and Epigenetic Trajectories in Support of Precision Medicine
Ohanes Ashekyan, Nerses Shahbazyan, Yeva Bareghamyan, et al.
Cancers (2023) Vol. 15, Iss. 15, pp. 3835-3835
Open Access | Times Cited: 5
Using cancer proteomics data to identify gene candidates for therapeutic targeting
Diana Monsivais, Sydney E Parks, Darshan S. Chandrashekar, et al.
Oncotarget (2023) Vol. 14, Iss. 1, pp. 399-412
Open Access | Times Cited: 3
SMARCD1 is a “Goldilocks” metastasis modifier
Christina Ross, Li-Yun Gong, Lisa M. Jenkins, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
SMARCD1 is an essential expression-restricted metastasis modifier
Christina Ross, Li-Yun Gong, Lisa M. Jenkins, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access
An essential gene signature of breast cancer metastasis reveals targetable pathways
Yiqun Zhang, Fengju Chen, Marija Balić, et al.
Breast Cancer Research (2024) Vol. 26, Iss. 1
Open Access
Page 1

Scroll to top