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:

Multi-omics approaches for biomarker discovery in early ovarian cancer diagnosis
Yinan Xiao, Meiyu Bi, Hongyan Guo, et al.
EBioMedicine (2022) Vol. 79, pp. 104001-104001
Open Access | Times Cited: 122

Showing 1-25 of 122 citing articles:

Applications of multi‐omics analysis in human diseases
Chongyang Chen, Jing Wang, Donghui Pan, et al.
MedComm (2023) Vol. 4, Iss. 4
Open Access | Times Cited: 172
Fatty acid metabolism reprogramming in ccRCC: mechanisms and potential targets
Sze Kiat Tan, Helen Y. Hougen, Jaime R. Merchan, et al.
Nature Reviews Urology (2022) Vol. 20, Iss. 1, pp. 48-60
Closed Access | Times Cited: 78
Revolutionary Point‐of‐Care Wearable Diagnostics for Early Disease Detection and Biomarker Discovery through Intelligent Technologies
Fatemeh Haghayegh, Alireza Norouziazad, Elnaz Haghani, et al.
Advanced Science (2024)
Open Access | Times Cited: 24
A review of cancer data fusion methods based on deep learning
Yuxin Zhao, Xiaobo Li, Changjun Zhou, et al.
Information Fusion (2024) Vol. 108, pp. 102361-102361
Closed Access | Times Cited: 17
Nanoparticles in gynecologic cancers: a bibliometric and visualization analysis
Yunzhe Zhou, Lizhang Chen, Tingting Wang
Frontiers in Oncology (2025) Vol. 14
Open Access | Times Cited: 2
A Deep Learning Framework for the Prediction and Diagnosis of Ovarian Cancer in Pre- and Post-Menopausal Women
Blessed Ziyambe, Abid Yahya, Tawanda Mushiri, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1703-1703
Open Access | Times Cited: 36
Artificial Intelligence in Clinical Oncology: From Data to Digital Pathology and Treatment
Kirthika Senthil Kumar, Vanja Mišković, Agata Blasiak, et al.
American Society of Clinical Oncology Educational Book (2023), Iss. 43
Open Access | Times Cited: 35
A systematic review of computational approaches to understand cancer biology for informed drug repurposing
Faheem Ahmed, Anupama Samantasinghar, Afaque Manzoor Soomro, et al.
Journal of Biomedical Informatics (2023) Vol. 142, pp. 104373-104373
Open Access | Times Cited: 34
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data
Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 30
Global burden of gynaecological cancers in 2022 and projections to 2050
Binhua Zhu, Hao Gu, Zhihan Mao, et al.
Journal of Global Health (2024) Vol. 14
Open Access | Times Cited: 12
Biomarkers for Early Cancer Detection: A Landscape View of Recent Advancements, Spotlighting Pancreatic and Liver Cancers
Rumiana Tenchov, Aparna K. Sapra, Janet M. Sasso, et al.
ACS Pharmacology & Translational Science (2024) Vol. 7, Iss. 3, pp. 586-613
Open Access | Times Cited: 11
Integrative analysis of genomic and epigenomic regulation reveals miRNA mediated tumor heterogeneity and immune evasion in lower grade glioma
Zhen Yang, Xiaocen Liu, Hao Xu, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 9
Folate-targeted nanoparticles for glutamine metabolism inhibition enhance anti-tumor immunity and suppress tumor growth in ovarian cancer
Shuning Chen, Yu Jiang, Jiao Zheng, et al.
Journal of Controlled Release (2025) Vol. 379, pp. 89-104
Closed Access | Times Cited: 1
Multi‑omics identification of a novel signature for serous ovarian carcinoma in the context of 3P medicine and based on twelve programmed cell death patterns: a multi-cohort machine learning study
Lele Ye, Chunhao Long, Binbing Xu, et al.
Molecular Medicine (2025) Vol. 31, Iss. 1
Open Access | Times Cited: 1
5-Hydroxymethylcytosine modifications in circulating cell-free DNA: frontiers of cancer detection, monitoring, and prognostic evaluation
Danjun Song, Zhou Zhang, Jiaping Zheng, et al.
Biomarker Research (2025) Vol. 13, Iss. 1
Open Access | Times Cited: 1
The Role of Selected Adipocytokines in Ovarian Cancer and Endometrial Cancer
Sebastian Stępień, Paweł Olczyk, Joanna Gola, et al.
Cells (2023) Vol. 12, Iss. 8, pp. 1118-1118
Open Access | Times Cited: 22
Clinical Peptidomics: Advances in Instrumentation, Analyses, and Applications
Lin Li, Jing Wu, Christopher J. Lyon, et al.
BME Frontiers (2023) Vol. 4
Open Access | Times Cited: 17
Ameliorating microalgal OMEGA production using omics platforms
Iqra Mariam, Maurizio Bettiga, Ulrika Rova, et al.
Trends in Plant Science (2024) Vol. 29, Iss. 7, pp. 799-813
Open Access | Times Cited: 7
Knockdown of CENPM activates cGAS-STING pathway to inhibit ovarian cancer by promoting pyroptosis
Wei Xie, Leiying Zhang, Junjing Shen, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 6
Early Detection of Ovarian Cancer
Naoko Sasamoto, Kevin M. Elias
Cold Spring Harbor Perspectives in Medicine (2023) Vol. 13, Iss. 11, pp. a041337-a041337
Closed Access | Times Cited: 13
Preclinical evaluation of a dual-receptor targeted tracer [68Ga]Ga-HX01 in 10 different subcutaneous and orthotopic tumor models
Xiaoying Lv, Xiangming Song, Yu Long, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2023) Vol. 51, Iss. 1, pp. 54-67
Closed Access | Times Cited: 13
Profiling the metabolome of uterine fluid for early detection of ovarian cancer
Pan Wang, Jihong Ma, Wenjing Li, et al.
Cell Reports Medicine (2023) Vol. 4, Iss. 6, pp. 101061-101061
Open Access | Times Cited: 13
Skin Cancer Metabolic Profile Assessed by Different Analytical Platforms
Yousra A. Hagyousif, Basma M. Sharaf, Ruba A. Zenati, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 2, pp. 1604-1604
Open Access | Times Cited: 11
N-linked glycosylation is essential for anti-tumor activities of KIAA1324 in gastric cancer
Rebecca Yun, Eunji Hong, Junil Kim, et al.
Cell Death and Disease (2023) Vol. 14, Iss. 8
Open Access | Times Cited: 11
Revolutionizing Biological Science: The Synergy of Genomics in Health, Bioinformatics, Agriculture, and Artificial Intelligence
Aakanksha Biswas, Aditi Kumari, D. S. Gaikwad, et al.
OMICS A Journal of Integrative Biology (2023) Vol. 27, Iss. 12, pp. 550-569
Closed Access | Times Cited: 11
Page 1 - Next Page

Scroll to top