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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:

Construction and Validation of a Nomogram Based on the Log Odds of Positive Lymph Nodes to Predict the Prognosis of Medullary Thyroid Carcinoma After Surgery
Jiajia Tang, Shitao Jiang, Luying Gao, et al.
Annals of Surgical Oncology (2021) Vol. 28, Iss. 8, pp. 4360-4370
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

A prognostic nomogram for distant metastasis in thyroid cancer patients without lymph node metastasis
Xiaoqing Yu, Qin Deng, Xin Gao, et al.
Frontiers in Endocrinology (2025) Vol. 16
Open Access
Ultrasonic radiomics in predicting pathologic type for thyroid cancer: a preliminary study using radiomics features for predicting medullary thyroid carcinoma
Dai Zhang, Fan Yang, Wenjing Hou, et al.
Frontiers in Endocrinology (2025) Vol. 16
Open Access
Metastatic Lymph Node Ratio for Predicting Recurrence in Medullary Thyroid Cancer
Jinyoung Kim, Jun Park, Hyunju Park, et al.
Cancers (2021) Vol. 13, Iss. 22, pp. 5842-5842
Open Access | Times Cited: 23
Update on C-Cell Neuroendocrine Neoplasm: Prognostic and Predictive Histopathologic and Molecular Features of Medullary Thyroid Carcinoma
Chan Kwon Jung, Shipra Agarwal, Jen‐Fan Hang, et al.
Endocrine Pathology (2023) Vol. 34, Iss. 1, pp. 1-22
Closed Access | Times Cited: 8
Establishment and validation of a nomogram model for predicting distant metastasis in medullary thyroid carcinoma: An analysis of the SEER database based on the AJCC 8th TNM staging system
Zhufeng Chen, Yaqian Mao, Tingting You, et al.
Frontiers in Endocrinology (2023) Vol. 14
Open Access | Times Cited: 7
Construction and validation of a nomogram based on the log odds of positive lymph nodes to predict cancer-specific survival in patients with small cell lung cancer after surgery
Ce Chao, Kun Mei, Min Wang, et al.
Heliyon (2023) Vol. 9, Iss. 8, pp. e18502-e18502
Open Access | Times Cited: 7
Prognostic nomogram based on the lymph node metastasis indicators for patients with bladder cancer: A SEER population‐based study and external validation
Shuai Li, Yicun Wang, Xiaopeng Hu
Cancer Medicine (2022) Vol. 12, Iss. 6, pp. 6853-6866
Open Access | Times Cited: 10
Metastatic Risk Stratification of 2526 Medullary Thyroid Carcinoma Patients: A Study Based on Surveillance, Epidemiology, and End Results Database
Minh‐Khang Le, Masataka Kawai, Toru Odate, et al.
Endocrine Pathology (2022) Vol. 33, Iss. 3, pp. 348-358
Closed Access | Times Cited: 9
Inclusion of the Number of Metastatic Lymph Nodes in the Staging System for Medullary Thyroid Cancer: Validating a Modified American Joint Committee on Cancer Tumor-Node-Metastasis Staging System
Zhengshi Wang, Chuangang Tang, Yinhua Wang, et al.
Thyroid (2022) Vol. 32, Iss. 5, pp. 536-543
Closed Access | Times Cited: 8
Prognostic nomogram for predicting the overall survival rate of patients with uterine clear‐cell carcinoma: Based on SEER database
Ting Huang, Fan Lü
International Journal of Gynecology & Obstetrics (2024) Vol. 166, Iss. 2, pp. 707-717
Closed Access | Times Cited: 1
Application and subgroup analysis of competing risks model based on different lymph node staging systems in differentiated thyroid cancer
Zhe Xu Cao, Jiang Sheng Huang, Ming Ming Wang
Updates in Surgery (2024) Vol. 76, Iss. 5, pp. 1927-1947
Closed Access | Times Cited: 1
A Nomogram Based on the Log Odds of Positive Lymph Nodes Predicts the Prognosis of Patients With Distal Cholangiocarcinoma After Surgery
Rui Li, Zhenhua Lu, Zhen Sun, et al.
Frontiers in Surgery (2021) Vol. 8
Open Access | Times Cited: 10
Prognostic Performance of Alternative Lymph Node Classification Systems for Patients with Medullary Thyroid Cancer: A Single Center Cohort Study
Dimitrios Prassas, Aristodemos Kounnamas, Kenko Cupisti, et al.
Annals of Surgical Oncology (2021) Vol. 29, Iss. 4, pp. 2561-2569
Open Access | Times Cited: 10
Prognostic value of LODDS in medullary thyroid carcinoma based on competing risk model and propensity score matching analysis
Zhe Xu Cao, Xin Weng, Jiang Sheng Huang, et al.
Updates in Surgery (2022) Vol. 74, Iss. 5, pp. 1551-1562
Closed Access | Times Cited: 7
Lymph Node Ratio Nomogram-Based Prognostic Model for Resected Distal Cholangiocarcinoma
Marc Perez, Carsten Palnæs Hansen, Fernando Burdı́o, et al.
Journal of the American College of Surgeons (2022) Vol. 235, Iss. 5, pp. 703-712
Closed Access | Times Cited: 7
Establishment and validation of a postoperative predictive model for patients with colorectal mucinous adenocarcinoma
Pengchao Wang, Qingyu Song, Ming Lu, et al.
World Journal of Surgical Oncology (2022) Vol. 20, Iss. 1
Open Access | Times Cited: 6
Log odds of positive lymph nodes as a novel prognostic predictor for colorectal cancer: a systematic review and meta-analysis
Yiding Li, Guiling Wu, Yujie Zhang, et al.
BMC Cancer (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 6
Machine Learning for Predicting Distant Metastasis of Medullary Thyroid Carcinoma Using the SEER Database
Zhentian Guo, Kun Tian, Xiyuan Xie, et al.
International Journal of Endocrinology (2023) Vol. 2023, pp. 1-10
Open Access | Times Cited: 3
A Nomogram Based on the Log Odds of Positive Lymph Nodes Predicts the Prognosis of Patients with Colon Neuroendocrine Tumors After Surgery: A Surveillance, Epidemiology, and End Results Population-Based Study
Xue Zhang, Kui Zhang, Li Su, et al.
Technology in Cancer Research & Treatment (2023) Vol. 22
Open Access | Times Cited: 2
A novel prognostic model based on log odds of positive lymph nodes to predict outcomes of patients with anaplastic thyroid carcinoma after surgery
Jiajia Tang, Yan Tian, Xuehua Xi, et al.
Clinical Endocrinology (2022) Vol. 97, Iss. 6, pp. 822-832
Closed Access | Times Cited: 4
Construction and Validation of a Prediction Model for Identifying Clinical Risk Factors of Lateral Lymph Node Metastasis in Medullary Thyroid Carcinoma
Yizhou Huang, Yu Min, Gangyi Yang, et al.
International Journal of General Medicine (2022) Vol. Volume 15, pp. 2301-2309
Open Access | Times Cited: 3
Development and Validation of a Simplified Negative and Positive Nodal Score (sNPNS) for Precise Nodal Staging in Colorectal Cancer: An International, Multi-Cohort Study
Xu Guan, Yueyang Zhang, Guanyu Yu, et al.
(2024)
Closed Access
The potential value of ultrasound in predicting local refractory/relapse events in primary thyroid lymphoma patients
Ji Jiang, Luying Gao, Ruifeng Liu, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access
Different lymph node staging systems for predicting the prognosis of colorectal neuroendocrine neoplasms
Yuan‐Yi Zhang, Yue-wei Cai, Xia Zhang
World Journal of Gastrointestinal Oncology (2024) Vol. 16, Iss. 5, pp. 1745-1755
Open Access
Development and Validation of a Prognostic Nomogram for Breast Cancer Patients With Multi-Organ Metastases: An Analysis of the Surveillance, Epidemiology, and End Results Program Database
Xiao Huang, An Xu, Xiangnan Xu, et al.
The American Surgeon (2024) Vol. 90, Iss. 11, pp. 2788-2796
Closed Access
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