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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:

Reliability of Self-reported Treatment Data by Patients With Breast Cancer Compared With Medical Record Data
Melissa Kool, Esther Bastiaannet, Cornelis J.�H. van de Velde, et al.
Clinical Breast Cancer (2017) Vol. 18, Iss. 3, pp. 234-238
Open Access | Times Cited: 14

Showing 14 citing articles:

Tobacco use and cancer‐related symptom burden: Analysis of the US Population Assessment of Tobacco and Health Study
Sarah N. Price, Amanda M. Palmer, Lisa M. Fucito, et al.
Cancer (2023) Vol. 129, Iss. 15, pp. 2385-2394
Open Access | Times Cited: 8
Correlates of regret with treatment decision-making among Japanese women with breast cancer: results of an internet-based cross-sectional survey
Keiko Yamauchi, Motoyuki Nakao, Mitsuyo Nakashima
BMC Women s Health (2019) Vol. 19, Iss. 1
Open Access | Times Cited: 21
Patient-clinician interactions and disparities in breast cancer care: the equality in breast cancer care study
Felisa A. Gonzales, Meera Sangaramoorthy, Laura A. Dwyer, et al.
Journal of Cancer Survivorship (2019) Vol. 13, Iss. 6, pp. 968-980
Open Access | Times Cited: 20
Patients' experiences with cancer care in Switzerland: Results of a multicentre cross‐sectional survey
Chantal Arditi, Manuela Eicher, Sara Colomer‐Lahiguera, et al.
European Journal of Cancer Care (2022) Vol. 31, Iss. 6
Open Access | Times Cited: 12
Patient, Oncologist, and Payer Preferences for Adjuvant Endocrine Therapy and CDK4/6 Inhibitor Regimens in Early-Stage Breast Cancer: A Discrete Choice Experiment
Kathleen Beusterien, Martine C. Maculaitis, Bernadette Hallissey, et al.
Patient Preference and Adherence (2021) Vol. Volume 15, pp. 611-623
Open Access | Times Cited: 10
Mammography use in relation to comorbidities and functional limitations among older breast cancer survivors
Dongyu Zhang, Shailesh Advani, Zhikai Zhu, et al.
Journal of Cancer Survivorship (2020) Vol. 15, Iss. 1, pp. 119-126
Open Access | Times Cited: 9
Genetic testing and surgical treatment after breast cancer diagnosis: Results from a national online cohort
Francys C. Verdial, Matthew A. Bartek, Benjamin O. Anderson, et al.
Journal of Surgical Oncology (2021) Vol. 123, Iss. 7, pp. 1504-1512
Open Access | Times Cited: 7
Contributing and limiting factors to guideline-adherent therapy in senior and elderly breast cancer patients: a questionnaire-based cross-sectional study using clinical and cancer registry data in Germany
Andreas Heidenreich, Rabea Fuchshofen, Susanne Elsner, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 19, pp. 17297-17306
Open Access | Times Cited: 2
Applying Machine Learning on Patient-Reported Data to Model the Selection of Appropriate Treatments for Low Back Pain: A Pilot Study
Wendy Oude Nijeweme-d’Hollosy, Lex van Velsen, Mannes Poel, et al.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (2020), pp. 117-124
Open Access | Times Cited: 4
Reply to “Critical analysis of Reiner et al.'s study on agreement of medical record abstraction and self‐report of breast cancer treatment”
Anne S. Reiner, Julia A. Knight, Esther M. John, et al.
Cancer (2024)
Closed Access
Linking population-based cohorts with cancer registries in LMIC: a case study and lessons learnt in India
Aastha Aggarwal, Rama Ranganathan, Preet K. Dhillon, et al.
BMJ Open (2023) Vol. 13, Iss. 3, pp. e068644-e068644
Open Access | Times Cited: 1
Ensembled Population Rescaled Differential Evolution with Weighted Boosting for Early Breast Cancer Detection
K. Meena Alias Jeyanthi, S. Mangai
Mobile Networks and Applications (2019) Vol. 24, Iss. 6, pp. 1778-1792
Closed Access | Times Cited: 2
Self-administered questionnaire assessing childhood cancer treatments and associated risks for adverse health outcomes - The KiKme study
Lara Kim Brackmann, Ronja Foraita, Heike Schwarz, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access
Interoperability and machine learning in Primary Care : a clinical decision support system for low back pain
Wendy Oude-Nijeweme-d'Hollosy
(2017)
Open Access
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