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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:

Nomograms are key decision-making tools in prostate cancer radiation therapy
Sarah Caulfield, Gerard Menezes, Laure Marignol, et al.
Urologic Oncology Seminars and Original Investigations (2018) Vol. 36, Iss. 6, pp. 283-292
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Circulating tumor cells as a new predictive and prognostic factor in patients with small cell lung cancer
Peipei Wang, Sihong Liu, Cunte Chen, et al.
Journal of Cancer (2020) Vol. 11, Iss. 8, pp. 2113-2122
Open Access | Times Cited: 52
The role of surgery for atypical bronchopulmonary carcinoid tumor: Development and validation of a model based on Surveillance, Epidemiology, and End Results (SEER) database
Xiaowei Chen, Zhaofei Pang, Yu Wang, et al.
Lung Cancer (2019) Vol. 139, pp. 94-102
Closed Access | Times Cited: 35
A Risk Classification System With Five-Gene for Survival Prediction of Glioblastoma Patients
Yulin Wang, Xin Liu, Gefei Guan, et al.
Frontiers in Neurology (2019) Vol. 10
Open Access | Times Cited: 33
Development and validation of a SEER-based prognostic nomogram for patients with bone metastatic prostate cancer
Guangdong Hou, Yu Zheng, Di Wei, et al.
Medicine (2019) Vol. 98, Iss. 39, pp. e17197-e17197
Open Access | Times Cited: 33
Evaluating the feasibility of AI-predicted bpMRI image features for predicting prostate cancer aggressiveness: a multi-center study
Kexin Wang, Ning Luo, Zhaonan Sun, et al.
Insights into Imaging (2025) Vol. 16, Iss. 1
Open Access
Establishment and Validation of Diagnostic Model of Microvascular Invasion in Solitary Hepatocellular Carcinoma
Xiuqin Wang, Yingqi Fan, Dong-Xing Hou, et al.
Journal of Investigative Surgery (2025) Vol. 38, Iss. 1
Open Access
Prognostic Nomogram for Patients With Metastatic Tongue Squamous Cell Carcinoma: A SEER‐Based Study
Yanling Chen, Zhoumiao Qi, Chaoyue Hu, et al.
Oral Diseases (2025)
Closed Access
Prognostic Factors and Nomograms to Predict Overall and Cancer-Specific Survival for Children with Wilms’ Tumor
Fucai Tang, Hanbin Zhang, Zechao Lu, et al.
Disease Markers (2019) Vol. 2019, pp. 1-11
Open Access | Times Cited: 21
YB-1: The key to personalised prostate cancer management?
Mark Bates, Anna Boland, Niamh McDermott, et al.
Cancer Letters (2020) Vol. 490, pp. 66-75
Open Access | Times Cited: 19
Identifying the risk features for occupational stress in medical workers: a cross-sectional study
Ruican Sun, Cailin Zhang, Keyao Lv, et al.
International Archives of Occupational and Environmental Health (2021) Vol. 95, Iss. 2, pp. 451-464
Open Access | Times Cited: 14
Predicting Overall Survival in Patients with Metastatic Rectal Cancer: a Machine Learning Approach
Beiqun Zhao, Rodney A. Gabriel, Florin Vaida, et al.
Journal of Gastrointestinal Surgery (2019) Vol. 24, Iss. 5, pp. 1165-1172
Open Access | Times Cited: 14
Impact of cribriform pattern 4 and intraductal prostatic carcinoma on National Comprehensive Cancer Network (NCCN) and Cancer of Prostate Risk Assessment (CAPRA) patient stratification
Yanhong Yu, Katherine Lajkosz, Antonio Finelli, et al.
Modern Pathology (2022) Vol. 35, Iss. 11, pp. 1695-1701
Open Access | Times Cited: 8
Nomograms for predicting long-term overall survival and cancer-specific survival in patients with primary urethral carcinoma: a population-based study
Hao Zi, Lei Gao, Zhao-Hua Yu, et al.
International Urology and Nephrology (2019) Vol. 52, Iss. 2, pp. 287-300
Closed Access | Times Cited: 12
Using machine learning to construct nomograms for patients with metastatic colon cancer
Beiqun Zhao, Rodney A. Gabriel, Florin Vaida, et al.
Colorectal Disease (2020) Vol. 22, Iss. 8, pp. 914-922
Open Access | Times Cited: 9
Development and Validation of a Personalized Prognostic Prediction Model for Patients With Spinal Cord Astrocytoma
Sheng Yang, Xun Yang, Huiwen Wang, et al.
Frontiers in Medicine (2022) Vol. 8
Open Access | Times Cited: 6
Prognostic analysis and clinical characteristics of dual primary lung cancer: a population study based on surveillance, epidemiology, and end results (SEER) database
Guanghui Wang, Yukai Zeng, Haotian Zheng, et al.
General Thoracic and Cardiovascular Surgery (2022) Vol. 70, Iss. 8, pp. 740-749
Open Access | Times Cited: 4
The Number of Lymph Nodes Examined is Associated with Survival Outcomes of Neuroendocrine Tumors of the Jejunum and Ileum (siNET): Development and Validation of a Prognostic Model Based on SEER Database
Peng Wang, Erlin Chen, Mingjie Xie, et al.
Journal of Gastrointestinal Surgery (2022) Vol. 26, Iss. 9, pp. 1917-1929
Closed Access | Times Cited: 4
Web-Based Nomograms for Overall Survival and Cancer-Specific Survival of Bladder Cancer Patients with Bone Metastasis: A Retrospective Cohort Study from SEER Database
Sheng Yang, Hongmin Zhou, Chaobo Feng, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 2, pp. 726-726
Open Access | Times Cited: 2
Nomogram Prediction for Lower Extremity Deep Vein Thrombosis in Acute Ischemic Stroke Patients Receiving Thrombolytic Therapy
Yuyan Wang, Miaokai Cao, Xuan Liu, et al.
Clinical and Applied Thrombosis/Hemostasis (2023) Vol. 29
Open Access | Times Cited: 2
Establishment and validation of a novel nomogram for survival prediction of ovarian carcinosarcoma
Yi Liu, Xiaoling Lin, Lujiadai Xue, et al.
Translational Cancer Research (2022) Vol. 11, Iss. 1, pp. 52-62
Open Access | Times Cited: 3
Application of clinical nomograms to predicting overall survival and event-free survival in multiple myeloma patients: Visualization tools for prognostic stratification
Jiaxuan Xu, Yifan Zuo, Jingjing Sun, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 3
Dynamic Nomogram for Predicting Long-Term Survival in Terms of Preoperative and Postoperative Radiotherapy Benefits for Advanced Gastric Cancer
Xinghui Li, Yang Yu, Cheng Zheng, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 3, pp. 2747-2747
Open Access | Times Cited: 1
Evaluating the Feasibility of AI-Predicted mpMRI Image Features for Predicting Prostate Cancer Aggressiveness: a Multicenter Study
Kexin Wang, Ning Luo, Zhaonan Sun, et al.
Research Square (Research Square) (2024)
Closed Access
Establishment and evaluation of a nomogram model for predicting hematoma expansion in hypertensive intracerebral hemorrhage based on clinical factors and plain CT scan signs
Fei Yu, Yanli Yang, Yulun He, et al.
Annals of Palliative Medicine (2021) Vol. 10, Iss. 12, pp. 12789-12800
Open Access | Times Cited: 3
Establishment of Prognostic Nomograms for Early-Onset Prostate Cancer Patients: A SEER Database Analysis
Jingtao Li, Zhen Cai, Wei Wei, et al.
Journal of Investigative Surgery (2022) Vol. 35, Iss. 7, pp. 1581-1590
Closed Access | Times Cited: 2
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