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:

Metabolic tumor constitution is superior to tumor regression grading for evaluating response to neoadjuvant therapy of esophageal adenocarcinoma patients
Achim Buck, Verena M. Prade, Thomas Kunzke, et al.
The Journal of Pathology (2021) Vol. 256, Iss. 2, pp. 202-213
Open Access | Times Cited: 15

Showing 15 citing articles:

Multi-omics approaches for biomarker discovery in predicting the response of esophageal cancer to neoadjuvant therapy: A multidimensional perspective
Zhi Yang, Fada Guan, Lawrence F. Bronk, et al.
Pharmacology & Therapeutics (2024) Vol. 254, pp. 108591-108591
Closed Access | Times Cited: 15

Spatial metabolomics for evaluating response to neoadjuvant therapy in non‐small cell lung cancer patients
Jian Shen, Na Sun, Philipp Zens, et al.
Cancer Communications (2022) Vol. 42, Iss. 6, pp. 517-535
Open Access | Times Cited: 30

Advancing rare cancer research by MALDI mass spectrometry imaging: Applications, challenges, and future perspectives in sarcoma
Maren Nicole Stillger, Mujia Li, Pia Hönscheid, et al.
PROTEOMICS (2024) Vol. 24, Iss. 12-13
Open Access | Times Cited: 7

Machine learning for metabolomics research in drug discovery
Dominic D. Martinelli
Intelligence-Based Medicine (2023) Vol. 8, pp. 100101-100101
Open Access | Times Cited: 10

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

Integrating computational pathology and proteomics to address tumor heterogeneity
Anglin Dent, Phedias Diamandis
The Journal of Pathology (2022) Vol. 257, Iss. 4, pp. 445-453
Closed Access | Times Cited: 11

Lipid metabolism analysis in esophageal cancer and associated drug discovery
Ruidi Jiao, Wei Jiang, Kunpeng Xu, et al.
Journal of Pharmaceutical Analysis (2023) Vol. 14, Iss. 1, pp. 1-15
Open Access | Times Cited: 6

Untargeted serum metabolomics reveals potential biomarkers and metabolic pathways associated with esophageal cancer
Xiaoli Yang, Peng Wang, Hua Ye, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 9

State-of-the-art mass spectrometry imaging applications in biomedical research
Kasper K. Krestensen, Ron M. A. Heeren, Benjamin Balluff
The Analyst (2023) Vol. 148, Iss. 24, pp. 6161-6187
Open Access | Times Cited: 4

Application of spatial omics in gastric cancer
Erran Zhu, Qi Xie, Xinqi Huang, et al.
Pathology - Research and Practice (2024) Vol. 262, pp. 155503-155503
Closed Access | Times Cited: 1

Neoadjuvant PD-1 blockade combined with chemotherapy is not superior to neoadjuvant chemotherapy alone in resectable locally advanced esophageal carcinoma
Daoan Cheng, Weiqing Zhao, Rui Chen, et al.
World Journal of Surgical Oncology (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 2

Nuclear Medicine in Esophageal Cancer
Emel Ceylan Günay
(2024), pp. 185-196
Closed Access

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