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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:

An overview and a roadmap for artificial intelligence in hematology and oncology
Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 10, pp. 7997-8006
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Large language models for oncological applications
Vera Sorin, Yiftach Barash, Eli Konen, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 11, pp. 9505-9508
Closed Access | Times Cited: 48
GPT-4 for Information Retrieval and Comparison of Medical Oncology Guidelines
Dyke Ferber, Isabella C. Wiest, Georg Wölflein, et al.
NEJM AI (2024) Vol. 1, Iss. 6
Closed Access | Times Cited: 18
Challenging ChatGPT 3.5 in Senology—An Assessment of Concordance with Breast Cancer Tumor Board Decision Making
Sebastian Griewing, Niklas Gremke, Uwe Wagner, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 10, pp. 1502-1502
Open Access | Times Cited: 29
Augmented interpretation of HER2, ER, and PR in breast cancer by artificial intelligence analyzer: enhancing interobserver agreement through a reader study of 201 cases
Minsun Jung, Seung Geun Song, Soo Ick Cho, et al.
Breast Cancer Research (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 10
In-context learning enables multimodal large language models to classify cancer pathology images
Dyke Ferber, Georg Wölflein, Isabella C. Wiest, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Deep Learning and Multidisciplinary Imaging in Pediatric Surgical Oncology: A Scoping Review
Myrthe A. D. Buser, J. K. van der Rest, Marc H. W. A. Wijnen, et al.
Cancer Medicine (2025) Vol. 14, Iss. 2
Open Access
Artificial Intelligence in Cancer Clinical Research: I. Introduction
Gary H. Lyman, Nicole M. Kuderer
Cancer Investigation (2024) Vol. 42, Iss. 6, pp. 443-446
Open Access | Times Cited: 4
Anonymizing medical documents with local, privacy preserving large language models: The LLM-Anonymizer
Isabella C. Wiest, Marie-Elisabeth Leßmann, F M Wolf, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Artificial intelligence and machine learning in hemostasis and thrombosis
Paolo Gresele
Bleeding Thrombosis and Vascular Biology (2024) Vol. 2, Iss. 4
Open Access | Times Cited: 3
Review of Molecular Technologies for Investigating Canine Cancer
Alexandra Kehl, Heike Aupperle‐Lellbach, Simone de Brot, et al.
Animals (2024) Vol. 14, Iss. 5, pp. 769-769
Open Access | Times Cited: 3
A framework for artificial intelligence in cancer research and precision oncology
Raquel Pérez-López, Jorge S. Reis‐Filho, Jakob Nikolas Kather
npj Precision Oncology (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 10
Bioprinting Soft 3D Models of Hematopoiesis using Natural Silk Fibroin‐Based Bioink Efficiently Supports Platelet Differentiation
Christian A. Di Buduo, Marco Lunghi, Volodymyr Kuzmenko, et al.
Advanced Science (2024) Vol. 11, Iss. 18
Open Access | Times Cited: 3
The use of bioinformatic analysis to study intracerebral hemorrhage
Ilgiz Gareev, Ozal Beylerli, Tatiana Ilyasova, et al.
Brain Hemorrhages (2024) Vol. 5, Iss. 4, pp. 188-196
Open Access | Times Cited: 2
Artificial Intelligence in Cancer Clinical Research: II. Development and Validation of Clinical Prediction Models
Gary H. Lyman, Nicole M. Kuderer
Cancer Investigation (2024) Vol. 42, Iss. 6, pp. 447-451
Open Access | Times Cited: 2
Artificial Intelligence in Colorectal Cancer: From Patient Screening over Tailoring Treatment Decisions to Identification of Novel Biomarkers
Nic G. Reitsam, Johanna Sophie Enke, Kien Vu Trung, et al.
Digestion (2024) Vol. 105, Iss. 5, pp. 331-344
Open Access | Times Cited: 2
Prediction of inhibitor development in previously untreated and minimally treated children with severe and moderately severe hemophilia A using a machine-learning network
Letícia Lemos Jardim, Tiago A. Schieber, Marcio P. Santana, et al.
Journal of Thrombosis and Haemostasis (2024) Vol. 22, Iss. 9, pp. 2426-2437
Closed Access | Times Cited: 1
The continuous improvement of digital assistance in the radiation oncologist’s work: from web-based nomograms to the adoption of large-language models (LLMs). A systematic review by the young group of the Italian association of radiotherapy and clinical oncology (AIRO)
Antonio Piras, I. Morelli, Riccardo Ray Colciago, et al.
La radiologia medica (2024) Vol. 129, Iss. 11, pp. 1720-1735
Closed Access | Times Cited: 1
Enhancing oncology nursing care planning for patients with cancer through Harnessing large language models
Abdulqadir J. Nashwan, Salam Bani Hani
Asia-Pacific Journal of Oncology Nursing (2023) Vol. 10, Iss. 9, pp. 100277-100277
Open Access | Times Cited: 3
Synchronous multiple primary cancers involving rectal cancer and pelvic classical hodgkin lymphoma: the first case report
Shiyue Liu, Hong Li, Youhong Dong, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 2
Artificial Intelligence for Computer Vision: Bibliometric Analysis
Oluwafemi Ayotunde Oke, Nadire Çavuş
Research Square (Research Square) (2024)
Open Access
From image analysis to clinical decision support: applications of artificial intelligence in oncology
Jakob Nikolas Kather, Heinz Schmidberger
Deleted Journal (2024) Vol. 30, Iss. 5, pp. 336-338
Open Access
Artificial intelligence in medical education: Typologies and ethical approaches
Agnieszka Pręgowska, Mark D. Perkins
Ethics & bioethics (2024) Vol. 14, Iss. 1-2, pp. 96-113
Open Access
Deformable Phrase Level Attention: A Flexible Approach for Improving Ai Based Medical Coding
Christoph Metzner, Shang Gao, Drahomíra Herrmannová, et al.
(2024)
Closed Access
Is Cancer Our Equal or Our Better? Artificial Intelligence in Cancer Drug Discovery
Swapnil Ganesh Sanmukh, Martyna Krzykawska-Serda, Paulina Dragan, et al.
Interdisciplinary cancer research (2024)
Closed Access
Requirements and Challenges to use Explainable Artificial Intelligence in Histopathology: A Rapid Review
Juan Miguel, Christian Grévisse, Antonia Sardella, et al.
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2024), pp. 703-709
Closed Access
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