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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:

Predictive and Prognostic Molecular Biomarkers for Response to Neoadjuvant Chemoradiation in Rectal Cancer
D. Daydé, Ichidai Tanaka, Rekha Jain, et al.
International Journal of Molecular Sciences (2017) Vol. 18, Iss. 3, pp. 573-573
Open Access | Times Cited: 162

Showing 1-25 of 162 citing articles:

Circular RNAs (circRNAs) in cancer
Ruoyu Zhou, Yuwei Wu, Wenxi Wang, et al.
Cancer Letters (2018) Vol. 425, pp. 134-142
Closed Access | Times Cited: 239
Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study
Lili Feng, Zhenyu Liu, Chaofeng Li, et al.
The Lancet Digital Health (2021) Vol. 4, Iss. 1, pp. e8-e17
Open Access | Times Cited: 121
Identification of hub genes and potential molecular mechanisms related to radiotherapy sensitivity in rectal cancer based on multiple datasets
Pengfei Zhao, Hongchao Zhen, Hong Zhao, et al.
Journal of Translational Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 49
Fusobacterium nucleatum persistence and risk of recurrence after preoperative treatment in locally advanced rectal cancer
Garazi Serna, Fiorella Ruíz‐Pace, Jorge Hernando, et al.
Annals of Oncology (2020) Vol. 31, Iss. 10, pp. 1366-1375
Open Access | Times Cited: 107
MRI-Based Radiomics Predicts Tumor Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer
Xiaoping Yi, Qian Pei, Youming Zhang, et al.
Frontiers in Oncology (2019) Vol. 9
Open Access | Times Cited: 84
Current Applications and Future Directions of Circulating Tumor Cells in Colorectal Cancer Recurrence
Kun-Yu Tsai, Po-Shuan Huang, Po-Yu Chu, et al.
Cancers (2024) Vol. 16, Iss. 13, pp. 2316-2316
Open Access | Times Cited: 8
Overexpression of the MRE11-RAD50-NBS1 (MRN) complex in rectal cancer correlates with poor response to neoadjuvant radiotherapy and prognosis
Vincent Ho, Liping Chung, Amandeep Singh, et al.
BMC Cancer (2018) Vol. 18, Iss. 1
Open Access | Times Cited: 69
The Multimodal Management of Locally Advanced Rectal Cancer: Making Sense of the New Data
W.H. Zwart, Alexandra Hotca, Geke A.P. Hospers, et al.
American Society of Clinical Oncology Educational Book (2022), Iss. 42, pp. 264-277
Open Access | Times Cited: 33
Neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios as predictive and prognostic markers in patients with locally advanced rectal cancer treated with neoadjuvant chemoradiation
Shaan Dudani, Horia Marginean, Patricia A. Tang, et al.
BMC Cancer (2019) Vol. 19, Iss. 1
Open Access | Times Cited: 52
The Gut Microbiome Is Associated With Therapeutic Responses and Toxicities of Neoadjuvant Chemoradiotherapy in Rectal Cancer Patients—A Pilot Study
Wei Shi, Lijun Shen, Wei Zou, et al.
Frontiers in Cellular and Infection Microbiology (2020) Vol. 10
Open Access | Times Cited: 48
Developments in zebrafish avatars as radiotherapy sensitivity reporters — towards personalized medicine
Bruna Costa, Susana Ferreira, Vanda Póvoa, et al.
EBioMedicine (2019) Vol. 51, pp. 102578-102578
Open Access | Times Cited: 47
Pre-Treatment T2-WI Based Radiomics Features for Prediction of Locally Advanced Rectal Cancer Non-Response to Neoadjuvant Chemoradiotherapy: A Preliminary Study
Bianca Petresc, Andrei Lebovici, Cosmin Caraiani, et al.
Cancers (2020) Vol. 12, Iss. 7, pp. 1894-1894
Open Access | Times Cited: 45
A Comprehensive Prediction Model Based on MRI Radiomics and Clinical Factors to Predict Tumor Response After Neoadjuvant Chemoradiotherapy in Rectal Cancer
Hao Jiang, Wei Guo, Zhuo Yu, et al.
Academic Radiology (2023) Vol. 30, pp. S185-S198
Open Access | Times Cited: 13
Pretreatment Inflammatory-Nutritional Biomarkers Predict Responses to Neoadjuvant Chemoradiotherapy and Survival in Locally Advanced Rectal Cancer
Yi‐Jun Wang, Lejun Chen, Biyun Zhang, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 28
ctDNA on liquid biopsy for predicting response and prognosis in locally advanced rectal cancer: A systematic review
Marina Morais, D Melo Pinto, José Carlos Machado, et al.
European Journal of Surgical Oncology (2021) Vol. 48, Iss. 1, pp. 218-227
Closed Access | Times Cited: 28
Serum metabolic traits reveal therapeutic toxicities and responses of neoadjuvant chemoradiotherapy in patients with rectal cancer
Hongmiao Wang, Huixun Jia, Yang Gao, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 19
Integration of Deep Learning and Sub-regional Radiomics Improves the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer Patients
Xuan Wu, Jinyong Wang, Chao Chen, et al.
Academic Radiology (2025)
Open Access
Integrating Tumor and Organoid DNA Methylation Profiles Reveals Robust Predictors of Chemotherapy Response in Rectal Cancer
David Lukacsovich, Wini Zambare, Chao Wu, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Complete pathological response to neoadjuvant chemoradiotherapy is associated with improved long-term survival after surgical treatment for rectal cancer
Elias Khajeh, Sanam Fakour, Constanze Zeh-Ressel, et al.
Surgical Oncology (2025), pp. 102206-102206
Closed Access
Pre-Treatment SEPTIN9 Gene Methylation Ratio Predicts Tumor Response to Total Neoadjuvant Therapy in Patients with Locally Advanced Rectal Cancer
Víctor Domínguez Prieto, Miguel León Arellano, Rocío Olivera-Salazar, et al.
Cancers (2025) Vol. 17, Iss. 6, pp. 965-965
Open Access
Biomarker-Based Nomogram to Predict Neoadjuvant Chemotherapy Response in Muscle-Invasive Bladder Cancer
M. Pérez Márquez, Juan José Lozano, Mercedes Ingelmo‐Torres, et al.
Biomedicines (2025) Vol. 13, Iss. 3, pp. 740-740
Open Access
Prognostic Significance of CLDN1, INHBA, and CXCL12 in Colon Adenocarcinoma: A Multi-Omics and Single-Cell Approach
Jaehwan Cheon, Soo‐Jin Kim, Jae‐Hyung Park, et al.
Biomedicines (2025) Vol. 13, Iss. 5, pp. 1035-1035
Open Access
miR-21, miR-99b and miR-375 combination as predictive response signature for preoperative chemoradiotherapy in rectal cancer
Marc Campayo, Alfons Navarro, José Carlos Benítez, et al.
PLoS ONE (2018) Vol. 13, Iss. 11, pp. e0206542-e0206542
Open Access | Times Cited: 37
Monitoring of Early Changes of Circulating Tumor DNA in the Plasma of Rectal Cancer Patients Receiving Neoadjuvant Concomitant Chemoradiotherapy: Evaluation for Prognosis and Prediction of Therapeutic Response
F Pazdírek, Marek Minárik, Lucie Benešová, et al.
Frontiers in Oncology (2020) Vol. 10
Open Access | Times Cited: 32
Machine learning for predicting pathological complete response in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy
Chun‐Ming Huang, Ming‐Yii Huang, Ching-Wen Huang, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 32
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