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:

Tumor-Infiltrating Lymphocytes (TILs) in Early Breast Cancer Patients: High CD3+, CD8+, and Immunoscore Are Associated with a Pathological Complete Response
Bernardo L. Rapoport, Simon Nayler, Bernhard Mlecnik, et al.
Cancers (2022) Vol. 14, Iss. 10, pp. 2525-2525
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Digital image analysis and machine learning-assisted prediction of neoadjuvant chemotherapy response in triple-negative breast cancer
Timothy B. Fisher, Geetanjali Saini, T. S. Rekha, et al.
Breast Cancer Research (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 11

Immune Biomarkers in Triple-Negative Breast Cancer: Improving the Predictivity of Current Testing Methods
Francesca Porta, Elham Sajjadi, Konstantinos Venetis, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 7, pp. 1176-1176
Open Access | Times Cited: 18

Spatial proximity of CD8+ T cells to tumor cells predicts neoadjuvant therapy efficacy in breast cancer
Hongling Liang, Jianqing Huang, Hongsheng Li, et al.
npj Breast Cancer (2025) Vol. 11, Iss. 1
Open Access

Current knowledge on the mechanisms underpinning vasculogenic mimicry in triple negative breast cancer and the emerging role of nitric oxide
Belete Kassa Alemu, Sara Tommasi, Julie-Ann Hulin, et al.
Biomedicine & Pharmacotherapy (2025) Vol. 186, pp. 118013-118013
Closed Access

Harnessing Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer: Opportunities and Barriers to Clinical Integration
C. Norman Coleman, Tharakeswari Selvakumar, Aswani Thurlapati, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 9, pp. 4292-4292
Open Access

Opportunities and challenges to engineer 3D models of tumor-adaptive immune interactions
Rahul Madathiparambil Visalakshan, Mary K. Lowrey, Mauricio G. C. Sousa, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 7

Exosomal Plasma Gelsolin Is an Immunosuppressive Mediator in the Ovarian Tumor Microenvironment and a Determinant of Chemoresistance
Toshimichi Onuma, Meshach Asare-Werehene, Yoshio Yoshida, et al.
Cells (2022) Vol. 11, Iss. 20, pp. 3305-3305
Open Access | Times Cited: 9

Prognostic significance of CD3+ and CD8+ T-cells immunoscore in renal cell carcinoma: Comparison between two simple models for assessment
Amira Emad Elwy, Mahmoud Nassar, Shimaa Hassan Shaban, et al.
Annals of Diagnostic Pathology (2024) Vol. 73, pp. 152387-152387
Closed Access | Times Cited: 1

Spatial distributions of CD8 and Ki67 cells in the tumor microenvironment independently predict breast cancer-specific survival in patients with ER+HER2– and triple-negative breast carcinoma
Dovile Zilenaite-Petrulaitiene, Allan G. Rasmusson, Ruta Barbora Valkiuniene, et al.
PLoS ONE (2024) Vol. 19, Iss. 11, pp. e0314364-e0314364
Open Access | Times Cited: 1

Predicting neoadjuvant treatment response in triple-negative breast cancer using machine learning
Shristi Bhattarai, Geetanjali Saini, Hongxiao Li, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3

Could immunoscore improve the prognostic and therapeutic management in patients with solid tumors?
Jing-Lun Xu, Mengxiang Yang, Huanrong Lan, et al.
International Immunopharmacology (2023) Vol. 124, pp. 110981-110981
Closed Access | Times Cited: 2

Predicting Neoadjuvant Treatment Response in Triple-Negative Breast Cancer Using Machine Learning
Shristi Bhattarai, Geetanjali Saini, Hongxiao Li, et al.
Diagnostics (2023) Vol. 14, Iss. 1, pp. 74-74
Open Access | Times Cited: 2

Strategies to optimize the promise of checkpoint-targeted anti-cancer therapy
Bernardo L. Rapoport, Ronald Anderson
Immunotherapy (2024) Vol. 16, Iss. 9, pp. 565-568
Closed Access

Plasma Gelsolin Inhibits Natural Killer Cell Function and Confers Chemoresistance in Epithelial Ovarian Cancer
Toshimichi Onuma, Meshach Asare-Werehene, Yūkō Fujita, et al.
Cells (2024) Vol. 13, Iss. 11, pp. 905-905
Open Access

Immune environment of high-TIL breast cancer: triple negative and hormone receptor positive HER2 negative
Su‐Jin Shin, In Ho Park, Heounjeong Go, et al.
npj Breast Cancer (2024) Vol. 10, Iss. 1
Open Access

CMTM6 status predicts survival in head and neck squamous cell carcinoma and correlates with PD-L1 expression
Anne‐Sophie Becker, Nicolas Wieder, Sarah Zonnur, et al.
Discover Oncology (2024) Vol. 15, Iss. 1
Open Access

CD3+ Tumor-Infiltrating Lymphocytes in Breast Carcinoma: Their Prognostic Role and Association With Clinical Parameters.
Ruchi Chauhan, Vijayalaxmi Patil
PubMed (2024) Vol. 16, Iss. 12, pp. e75479-e75479
Closed Access

Prognostic Impact of the Immune-Cell Infiltrate in N1-Positive Non–Small-Cell Lung Cancer
Florian Eichhorn, Andreas Weigert, Rajender Nandigama, et al.
Clinical Lung Cancer (2023) Vol. 24, Iss. 8, pp. 706-716.e1
Closed Access | Times Cited: 1

Evaluation of immune density, PD-L1, and CXCR4 expressions in metaplastic breast carcinoma to predict potential immunotherapy benefit
Sidar Bağbudar, Hasan Karanlık, Neslihan Cabıoğlu, et al.
Medical Oncology (2023) Vol. 41, Iss. 1
Closed Access | Times Cited: 1

CMTM6 and PD-L1 are independent prognostic biomarkers in head and neck squamous cell carcinoma
Anne‐Sophie Becker, Sarah Zonnur, Annette Zimpfer, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1

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