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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:

Predicting dynamic response to neoadjuvant chemotherapy in breast cancer: a novel metabolomics approach
Caridad Díaz, Carmen González‐Olmedo, Leticia Díaz‐Beltrán, et al.
Molecular Oncology (2022) Vol. 16, Iss. 14, pp. 2658-2671
Open Access | Times Cited: 11

Showing 11 citing articles:

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: 20
Serum metabolomic profiling for predicting therapeutic response and toxicity in breast cancer neoadjuvant chemotherapy: a retrospective longitudinal study
Zhihao Fang, Guohong Ren, Shouyu Ke, et al.
Breast Cancer Research (2025) Vol. 27, Iss. 1
Open Access
Plasma Metabolome Signatures to Predict Responsiveness to Neoadjuvant Chemotherapy in Breast Cancer
Alex Silva, Marcella R. Cardoso, Danilo Cardoso de Oliveira, et al.
Cancers (2024) Vol. 16, Iss. 13, pp. 2473-2473
Open Access | Times Cited: 3
Predictive score for response to neoadjuvant chemotherapy in early-stage HR + /HER2− breast cancer
João Queirós Coelho, Beatriz Lau, Rita Carrilho Pichel, et al.
Clinical & Translational Oncology (2025)
Closed Access
Metabolomic Profiling of Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy for Predicting Disease-Free and Overall Survival
Maria Cecília Ramiro Talarico, Sophie Derchain, Lucas Ferreira da Silva, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 16, pp. 8639-8639
Open Access | Times Cited: 2
Population Power Curves in ASCA With Permutation Testing
José Camacho, Michael Armstrong
Journal of Chemometrics (2024) Vol. 38, Iss. 12
Open Access | Times Cited: 1
Metabolomics assisted by transcriptomics analysis to reveal metabolic characteristics and potential biomarkers associated with treatment response of neoadjuvant therapy with TCbHP regimen in HER2 + breast cancer
Ningning Zhang, Yuxin Huang, Guanwen Wang, et al.
Breast Cancer Research (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 1
Predictive analysis of breast cancer response to neoadjuvant chemotherapy through plasma metabolomics
Miki Yamada, Hiromitsu Jinno, Saki Naruse, et al.
Breast Cancer Research and Treatment (2024) Vol. 207, Iss. 2, pp. 393-404
Open Access | Times Cited: 1
Multiomics insights on the onset, progression, and metastatic evolution of breast cancer
Lucia Alvarez-Frutos, Daniel Barriuso, M. Durán, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 3
Predictive Analysis of Breast Cancer Response to Neoadjuvant Chemotherapy through Plasma Metabolomics
Miki Yamada, Hiromitsu Jinno, Saki Naruse, et al.
Research Square (Research Square) (2024)
Open Access
Assessment of Untargeted Metabolomics by Hydrophilic Interaction Liquid Chromatography−Mass Spectrometry to Define Breast Cancer Liquid Biopsy-Based Biomarkers in Plasma Samples
Carmen González Olmedo, Leticia Díaz-Beltrán, V. Garcia, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 10, pp. 5098-5098
Open Access
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