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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:

Artificial intelligence in cancer immunotherapy: Applications in neoantigen recognition, antibody design and immunotherapy response prediction
Li Tong, Yupeng Li, Xiaoyi Zhu, et al.
Seminars in Cancer Biology (2023) Vol. 91, pp. 50-69
Closed Access | Times Cited: 21

Showing 21 citing articles:

The CAR macrophage cells, a novel generation of chimeric antigen-based approach against solid tumors
Kaveh Hadiloo, Siavash Taremi, Mahmood Heidari, et al.
Biomarker Research (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 37
Therapeutic Antibodies in Medicine
Prerna Sharma, Rahul V. Joshi, Robert C. Pritchard, et al.
Molecules (2023) Vol. 28, Iss. 18, pp. 6438-6438
Open Access | Times Cited: 25
T cell exhaustion initiates tertiary lymphoid structures and turbocharges cancer-immunity cycle
Wen‐Ping Lin, Hao Li, Zhi‐Jun Sun
EBioMedicine (2024) Vol. 104, pp. 105154-105154
Open Access | Times Cited: 7
An exosome-derived lncRNA signature identified by machine learning associated with prognosis and biomarkers for immunotherapy in ovarian cancer
Yongjia Cui, Weixuan Zhang, Wenping Lü, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 6
Integrating AI into Cancer Immunotherapy—A Narrative Review of Current Applications and Future Directions
David B. Olawade, Aanuoluwapo Clement David-Olawade, Temitope Adereni, et al.
Diseases (2025) Vol. 13, Iss. 1, pp. 24-24
Open Access
Investigation of Aframomum melegueta compounds as ERK5 inhibitor related to breast cancer via molecular docking and dynamic simulation
Paul Olamide Ottu, Olorunfemi Oyewole Babalola, Oluwamodupe Cecilia Ejelonu, et al.
In Silico Pharmacology (2025) Vol. 13, Iss. 1
Closed Access
Predictive indicators of immune therapy efficacy in hepatocellular carcinoma based on neutrophil-to-lymphocyte ratio
Shengzhe Lin, Y. Wang, Xinran Cai, et al.
International Immunopharmacology (2024) Vol. 128, pp. 111477-111477
Closed Access | Times Cited: 2
Just how transformative will AI/ML be for immuno-oncology?
Daniel Bottomly, Shannon K. McWeeney
Journal for ImmunoTherapy of Cancer (2024) Vol. 12, Iss. 3, pp. e007841-e007841
Open Access | Times Cited: 2
Future AI Will Most Likely Predict Antibody-Drug Conjugate Response in Oncology: A Review and Expert Opinion
Navid Sobhani, Alberto D’Angelo, Matteo Pittacolo, et al.
Cancers (2024) Vol. 16, Iss. 17, pp. 3089-3089
Open Access | Times Cited: 2
An updated review of gastrointestinal toxicity induced by PD-1 inhibitors: from mechanisms to management
Yiyu Cheng, Fangmei Ling, Junrong Li, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 6
Future AI Will Be Able to Predict Antibody-Drug Conjugate Response in Oncology
Navid Sobhani, Alberto D’Angelo, Matteo Pittacolo, et al.
(2024)
Open Access | Times Cited: 1
Refining mutanome-based individualised immunotherapy of melanoma using artificial intelligence
Farida Zakariya, Fatma K. Salem, Abdulwhhab Abu Alamrain, et al.
European journal of medical research (2024) Vol. 29, Iss. 1
Open Access
Synthesis and characterization of magnetite coated by maltodextrin for application in magnetic hyperthermia
Yasmin Milena Loth Bueno, Filipe Kalil da Silva Naves, Tamires Pereira Rosa, et al.
New Journal of Chemistry (2024) Vol. 48, Iss. 19, pp. 8727-8742
Closed Access
Application of artificial intelligence in immuno-oncology
Pablo Monfort-Lanzas, Raphael Gronauer, Melanie Balaz, et al.
Elsevier eBooks (2024)
Closed Access
Recent Advances in Artificial Intelligence to Improve Immunotherapy and the Use of Digital Twins to Identify Prognosis of Patients with Solid Tumors
Laura D’Orsi, Biagio Capasso, Giuseppe Lamacchia, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 21, pp. 11588-11588
Open Access
The triad in current neuroblastoma challenges: Targeting antigens, enhancing effective cytotoxicity and accurate 3D in vitro modelling
Ellen Eva King, Ronja Struck, Olga Piskareva
Translational Oncology (2024) Vol. 51, pp. 102176-102176
Closed Access
Implantable Biomaterials for Cancer Immunotherapies
Н. А. Печникова, Amalia Aggeli, Anastasiia A. Latypova, et al.
Advanced Functional Materials (2024)
Open Access
Artificial intelligence for chimeric antigen receptor-based therapies: a comprehensive review of current applications and future perspectives
Muqadas Shahzadi, Hamad Rafique, Ahmad Waheed, et al.
Therapeutic Advances in Vaccines and Immunotherapy (2024) Vol. 12
Open Access
Potential Associations between Vascular Biology and Hodgkin’s Lymphoma: An Overview
Wellington Francisco Rodrigues, Camila Botelho Miguel, Melissa Carvalho Martins de Abreu, et al.
Cancers (2023) Vol. 15, Iss. 21, pp. 5299-5299
Open Access | Times Cited: 1
Application of artificial intelligence in oncology
Xuelei Ma, Qi Zhao
Seminars in Cancer Biology (2023) Vol. 97, pp. 68-69
Closed Access | Times Cited: 1
Enhancing the Treating Efficacy of Immunotherapy through the Restructure of Tumor Microenvironment
Bokai Gong, Wenfeng Jia, Zhou Yang, et al.
Advanced NanoBiomed Research (2023) Vol. 3, Iss. 12
Open Access
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