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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:

Clinical scoring system for the prediction of survival of patients with advanced gastric cancer
Jinchul Kim, Jung Yong Hong, Seung Tae Kim, et al.
ESMO Open (2020) Vol. 5, Iss. 2, pp. e000670-e000670
Open Access | Times Cited: 21

Showing 21 citing articles:

The Effect of Inflammatory Markers on the Survival of Advanced Gastric Cancer Patients Who Underwent Anti-Programmed Death 1 Therapy
Ziting Qu, Qianling Wang, Hui Wang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 24
A universal AutoScore framework to develop interpretable scoring systems for predicting common types of clinical outcomes
Feng Xie, Yilin Ning, Mingxuan Liu, et al.
STAR Protocols (2023) Vol. 4, Iss. 2, pp. 102302-102302
Open Access | Times Cited: 11
Predictive Model and Risk Factors for Case Fatality of COVID-19: A Cohort of 21,392 Cases in Hubei, China
Ran Wu, Siqi Ai, Jing Cai, et al.
The Innovation (2020) Vol. 1, Iss. 2, pp. 100022-100022
Open Access | Times Cited: 24
Pretreatment neutrophil-to-lymphocyte ratio predicts the benefit of gastric cancer patients with systemic therapy
Songtao Du, Zhenhao Fang, Ye Lin, et al.
Aging (2021) Vol. 13, Iss. 13, pp. 17638-17654
Open Access | Times Cited: 21
Construction of a nomogram with IrAE and clinic character to predict the survival of advanced G/GEJ adenocarcinoma patients undergoing anti-PD-1 treatment
Han Wang, Jin-Hua Chen, Wei Gao, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 2
AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data
Feng Xie, Yilin Ning, Han Yuan, et al.
Journal of Biomedical Informatics (2021) Vol. 125, pp. 103959-103959
Open Access | Times Cited: 16
Development and validation of a prognostic scoring model for mortality risk stratification in patients with recurrent or metastatic gastric carcinoma
Tai Ma, Zhijun Wu, Xiaopeng Zhang, et al.
BMC Cancer (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 12
Hyperprogressive disease during PD-1 blockade in patients with advanced gastric cancer
Chang Gon Kim, Moonki Hong, Hei‐Cheul Jeung, et al.
European Journal of Cancer (2022) Vol. 172, pp. 387-399
Closed Access | Times Cited: 9
Current prognostic factors of advanced gastric cancer patients treated with chemotherapy: real world data from a Japanese 12 institutions
Shumpei Yamamoto, Hiromitsu Kanzaki, Chihiro Sakaguchi, et al.
Japanese Journal of Clinical Oncology (2023) Vol. 53, Iss. 10, pp. 928-935
Closed Access | Times Cited: 4
Development, verification, and comparison of a risk stratification model integrating residual cancer burden to predict individual prognosis in early-stage breast cancer treated with neoadjuvant therapy
Niuniu Hou, Jianfeng Wu, Jingjing Xiao, et al.
ESMO Open (2021) Vol. 6, Iss. 5, pp. 100269-100269
Open Access | Times Cited: 7
A novel immunohistochemical score predicts the postoperative prognosis of gastric cancer patients
Feng Liu, Xiao‐Yang Wu, Weiping Wang, et al.
World Journal of Surgical Oncology (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 2
Surveillance Strategy after Complete Ablation of Initial Recurrent Hepatocellular Carcinoma: A Risk-Based Machine Learning Study
Qifeng Chen, Sheng Liu, Ning Lyu, et al.
Journal of Vascular and Interventional Radiology (2021) Vol. 32, Iss. 11, pp. 1548-1557.e2
Closed Access | Times Cited: 5
Incorporation of liver chemistry score in predicting survival of liver‐involved advanced gastric cancer patients who received palliative chemotherapy
Ying Feng, Cheng Zhang, Zhijun Wu, et al.
Cancer Medicine (2022) Vol. 12, Iss. 3, pp. 2831-2841
Open Access | Times Cited: 3
Machine learning models for predicting one-year survival in patients with metastatic gastric cancer who experienced upfront radical gastrectomy
Cheng Zhang, Yi Zhang, Yahui Yang, et al.
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 3
Long-term survival in metastatic gastric cancer patient with Apatinib plus S-1 maintenance treatment following first-line chemotherapy—case report
Zhen Wang, Hao Li, Yue Guan, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Development of a prediction system for KRAS mutation detection via circulating tumour DNA analysis among patients with unresectable pancreatic cancer
Hiroshi Shimizu, Rei Suzuki, Hiroyuki Asama, et al.
Research Square (Research Square) (2024)
Closed Access
AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data
Feng Xie, Yilin Ning, Han Yuan, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 3
A machine learning approach to model for end‐stage liver disease score in cardiac surgery
Edgar Aranda‐Michel, Ibrahim Sultan, Arman Kilic, et al.
Journal of Cardiac Surgery (2021) Vol. 37, Iss. 1, pp. 29-38
Open Access | Times Cited: 3
Performances of Prognostic Models in Stratifying Patients with Advanced Gastric Cancer Receiving First-line Chemotherapy: a Validation Study in a Chinese Cohort
Hui Xu, Xiaopeng Zhang, Zhijun Wu, et al.
Journal of the Korean Gastric Cancer Association (2021) Vol. 21, Iss. 3, pp. 268-268
Open Access | Times Cited: 1
A Nomogram for Predicting the Cancer-Specific Survival of Patients with Initially Diagnosed Metastatic Gastric Cancer
Jun Ren, Yuedi Dai, Chao Fei, et al.
Clinical Medicine Insights Oncology (2022) Vol. 16
Open Access
A Simple Scoring Model Predicting the Outcome of COVID-19 Patients: Tanta COVID Score
Mohammed Elhendawy, Ferial El-Kalla, Sherief Abd‐Elsalam, et al.
Endocrine Metabolic & Immune Disorders - Drug Targets (2021) Vol. 22, Iss. 6, pp. 620-630
Closed Access
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