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:

Diagnosis and treatment pattern among rural and urban breast cancer patients in Southwest China from 2005 to 2009
Zuxiang Peng, Jia Wang, Xuesong Lu, et al.
Oncotarget (2016) Vol. 7, Iss. 47, pp. 78168-78179
Open Access | Times Cited: 17

Showing 17 citing articles:

Rural dwellers are less likely to survive cancer – An international review and meta-analysis
Romi Carriere, Rosalind Adam, Shona Fielding, et al.
Health & Place (2018) Vol. 53, pp. 219-227
Open Access | Times Cited: 83

Predicting Invasive Disease-Free Survival for Early Stage Breast Cancer Patients Using Follow-Up Clinical Data
Bo Fu, Pei Liu, Jie Lin, et al.
IEEE Transactions on Biomedical Engineering (2018) Vol. 66, Iss. 7, pp. 2053-2064
Closed Access | Times Cited: 69

Prediction model of the response to neoadjuvant chemotherapy in breast cancers by a Naive Bayes algorithm
Libo Yang, Bo Fu, Yan Li, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 192, pp. 105458-105458
Closed Access | Times Cited: 25

Public health insurance and cancer‐specific mortality risk among patients with breast cancer: A prospective cohort study in China
Yuxin Xie, Unnur Valdimarsdóttir, Chengshi Wang, et al.
International Journal of Cancer (2020) Vol. 148, Iss. 1, pp. 28-37
Open Access | Times Cited: 25

Surgery of the primary tumor improves survival in women with stage IV breast cancer in Southwest China
Yuxin Xie, Xingxing Lv, Chuanxu Luo, et al.
Medicine (2017) Vol. 96, Iss. 22, pp. e7048-e7048
Open Access | Times Cited: 17

Multidimensional Machine Learning Personalized Prognostic Model in an Early Invasive Breast Cancer Population-Based Cohort in China: Algorithm Validation Study
Xiaorong Zhong, Ting Luo, Ling Deng, et al.
JMIR Medical Informatics (2020) Vol. 8, Iss. 11, pp. e19069-e19069
Open Access | Times Cited: 15

Area socioeconomic status is independently associated with esophageal cancer mortality in Shandong, China
Kou Kou, Peter D. Baade, Xiaolei Guo, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 14

Adaptive boosting model for breast cancer prediction
P. Sherubha, Lailah Ahmed, Kasthuri Kannan, et al.
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 2, pp. 3417-3431
Closed Access | Times Cited: 3

Breast Cancer Epidemiology and Survival Analysis of Shenyang in Northeast China: A Population-Based Study from 2008 to 2017
Hongbo Su, Xun Li, Yi Lv, et al.
The Breast Journal (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 4

Public health insurance and cancer-specific mortality risk among patients with breast cancer: a prospective cohort study in China
yuxin Xie, Unnur Valdimarsdóttir, Chengshi Wang, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 3

Factors predicting medication prescription adherence in Appalachian breast cancer patients
Patricia N. E. Roberson, Aubrey Southerland, Hannah Mitchel, et al.
The Breast Journal (2019) Vol. 25, Iss. 2, pp. 338-339
Open Access | Times Cited: 2

Assessing the impact of rurality on oesophagogastric cancer survival in the North-East of Scotland- a prospective population cohort study
Fiona Griffin, R. Hunter, P. McCouaig, et al.
The Surgeon (2022) Vol. 21, Iss. 3, pp. e97-e103
Closed Access

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