OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Deep Learning Artificial Intelligence Predicts Homologous Recombination Deficiency and Platinum Response From Histologic Slides
Erik N. Bergstrom, Ammal Abbasi, Marcos Díaz‐Gay, et al.
Journal of Clinical Oncology (2024) Vol. 42, Iss. 30, pp. 3550-3560
Open Access | Times Cited: 9

Showing 9 citing articles:

Revue de presse
Audrey Rousseau
Annales de Pathologie (2025)
Closed Access

Defining precancer: a grand challenge for the cancer community
Jessica M. Faupel‐Badger, Indu Kohaar, Manisha Bahl, et al.
Nature reviews. Cancer (2024)
Closed Access | Times Cited: 4

Tumor-infiltrating lymphocytes in HER2-positive breast cancer: potential impact and challenges
Ilana Schlam, Sherene Loi, Roberto Salgado, et al.
ESMO Open (2025) Vol. 10, Iss. 2, pp. 104120-104120
Closed Access

Probing the relevance of BRCA1 and BRCA2 germline pathogenic variants beyond breast and ovarian cancer
William D. Foulkes, Paz Polak
JNCI Journal of the National Cancer Institute (2024) Vol. 116, Iss. 12, pp. 1871-1874
Open Access | Times Cited: 1

Optimizing DeepHRD Interpretability for Enhanced Clinical Decision Making
Hui Li, Qin Guo, Chengshan Guo
Journal of Clinical Oncology (2024)
Closed Access | Times Cited: 1

Reply to: Optimizing DeepHRD Interpretability for Enhanced Clinical Decision Making
Erik N. Bergstrom, Scott M. Lippman, Ludmil B. Alexandrov
Journal of Clinical Oncology (2024)
Closed Access

Deep Learning AI and Precision Oncology: Predicting Homologous Recombination Deficiency
Peter Hofland
Onco Zine - The International Oncology Network (2024)
Closed Access

Page 1

Scroll to top