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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:

Development and Validation of Nomograms for Epithelial Ovarian Cancer: a SEER Population-Based, Real-World Study
Ruiqi Wang, Guilan Xie, Li Shang, et al.
Future Oncology (2021) Vol. 17, Iss. 8, pp. 893-906
Open Access | Times Cited: 15

Showing 15 citing articles:

From clinical management to personalized medicine: novel therapeutic approaches for ovarian clear cell cancer
Zesi Liu, Chunli Jing, Fandou Kong
Journal of Ovarian Research (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 5
Association of Multiple High-Risk Factors on Observed Outcomes in Real-World Patients With Advanced Ovarian Cancer Treated With First-Line Therapy
Dana M. Chase, Jessica Perhanidis, Divya Gupta, et al.
JCO Clinical Cancer Informatics (2023), Iss. 7
Open Access | Times Cited: 5
Construction and validation of log odds of positive lymph nodes (LODDS)-based nomograms for predicting overall survival and cancer-specific survival in ovarian clear cell carcinoma patients
Zesi Liu, Chunli Jing, Yashi Manisha Hooblal, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
A prognostic model of patients with ovarian mucinous adenocarcinoma: a population-based analysis
Li Yang, Jinfen Yu, Shuang Zhang, et al.
Journal of Ovarian Research (2022) Vol. 15, Iss. 1
Open Access | Times Cited: 7
A Nomogram Based on SEER Database for Predicting Prognosis in Patients with Mucinous Ovarian Cancer: A Real-World Study
Ke Zhang, Songwei Feng, Ge Yu, et al.
International Journal of Women s Health (2022) Vol. Volume 14, pp. 931-943
Open Access | Times Cited: 6
Development and Validation of Nomograms to Predict Overall Survival Outcomes in Serous Ovarian Cancer Patients with Satisfactory Cytoreductive Surgery and Chemotherapy
Yuanyuan Liu, Renfeng Zhao, Chao Liu, et al.
International Journal of General Medicine (2022) Vol. Volume 15, pp. 123-131
Open Access | Times Cited: 5
Prognostic Factors and a Predictive Nomogram of Cancer-Specific Survival of Epithelial Ovarian Cancer Patients with Pelvic Exenteration Treatment
T. Wang, Xin Fu, Lei Zhang, et al.
International Journal of Clinical Practice (2023) Vol. 2023, pp. 1-12
Open Access | Times Cited: 2
Significant Prognostic Factor at Age Cut-off of 73 Years for Advanced Ovarian Serous Cystadenocarcinoma Patients: Insights from Real-World Study
Ke Zhang, Songwei Feng, Yan Wang, et al.
International Journal of Women s Health (2024) Vol. Volume 16, pp. 203-218
Open Access
Incidence, prognostic factors, and a nomogram of cervical cancer with lung metastasis: A SEER-based study
Yuping Shan, Zhaoxia Ding, Aiping Chen, et al.
Journal of Gynecology Obstetrics and Human Reproduction (2024) Vol. 53, Iss. 4, pp. 102757-102757
Closed Access
Stage IV ovarian cancer prognosis nomogramand analysis of racial differences: A study based on the SEER database
Guilan Wu, Jiana Chen, Peiguang Niu, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e36549-e36549
Open Access
Ovarian Cancer Retrospective European (O'CaRE) study: first-line outcomes by number of risk factors for progression
Jonathan Krell, Danielle Shaw, John McGrane, et al.
Future Oncology (2024), pp. 1-11
Open Access
Development and External Validation of a Novel Model for Predicting Postsurgical Recurrence and Overall Survival After Cytoreductive R0 Resection of Epithelial Ovarian Cancer
Qiaqia Li, Yinghong Deng, Wei Wei, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 2
A novel risk score system for prognostic evaluation in adenocarcinoma of the oesophagogastric junction: a large population study from the SEER database and our center
Jun Wang, Le Shi, Jing Chen, et al.
BMC Cancer (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 2
Nomogram incorporating log odds of positive lymph nodes improves prognostic prediction for ovarian serous carcinoma: a real-world retrospective cohort study
Shuming Zhang, Xiwen Liu, Qiao Li, et al.
BMJ Open (2023) Vol. 13, Iss. 10, pp. e074206-e074206
Open Access
Development and Validation of Nomograms to Predict Long-term Oncological Outcomes in Serous Ovarian Cancer
Yuanyuan Liu, Zhao Ren-feng, Chao Liu, et al.
Research Square (Research Square) (2021)
Open Access
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