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:

The Comparison of Serum Exosome Protein Profile in Diagnosis of NSCLC Patients
Kamila Baran, Joanna Waśko, Jakub Kryczka, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 18, pp. 13669-13669
Open Access | Times Cited: 9

Showing 9 citing articles:

Exosome therapeutics for non-small cell lung cancer tumorigenesis
Niloufar Orooji, Manouchehr Fadaee, Tohid Kazemi, et al.
Cancer Cell International (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 8

Exosomal Proteomics: Unveiling Novel Insights into Lung Cancer
Guanhua Yi, Haixin Luo, Yalin Zheng, et al.
Aging and Disease (2024)
Open Access | Times Cited: 6

Diagnostic and Prognostic Significance of Exosomes and Their Components in Patients With Cancers
Zinnat Ara Moni, Zahid Hasan, Md. Shaheen Alam, et al.
Cancer Medicine (2025) Vol. 14, Iss. 1
Open Access

Extracellular Vesicles: Hermes Between Cancers and Lymph Nodes
Lei‐Ming Cao, Yuan-ye Qiu, Zi‐Zhan Li, et al.
Cancer Letters (2025), pp. 217735-217735
Closed Access

Unraveling the Connection: Extracellular Vesicles and Non-Small Cell Lung Cancer
Jiankang Wu, Yan Chen
International Journal of Nanomedicine (2024) Vol. Volume 19, pp. 8139-8157
Open Access | Times Cited: 1

Identification of immune-related gene signature model for predicting lung cancer survival and response to immunotherapy
Wenrong Lin, Xiaojun Cai, Yiguang Lin, et al.
Oncology (2024), pp. 1-19
Closed Access

Characteristics of ABCC4 and ABCG2 High Expression Subpopulations in CRC—A New Opportunity to Predict Therapy Response
Jakub Kryczka, Joanna Boncela
Cancers (2023) Vol. 15, Iss. 23, pp. 5623-5623
Open Access | Times Cited: 1

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