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:

Machine-Learning Prediction of Tumor Antigen Immunogenicity in the Selection of Therapeutic Epitopes
Christof C. Smith, Shengjie Chai, Amber R. Washington, et al.
Cancer Immunology Research (2019) Vol. 7, Iss. 10, pp. 1591-1604
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Identification of neoantigens for individualized therapeutic cancer vaccines
Franziska Lang, Barbara Schrörs, Martin Löwer, et al.
Nature Reviews Drug Discovery (2022) Vol. 21, Iss. 4, pp. 261-282
Open Access | Times Cited: 326

Development and Validation of a Deep Learning Model for Non–Small Cell Lung Cancer Survival
Yunlang She, Zhuochen Jin, Junqi Wu, et al.
JAMA Network Open (2020) Vol. 3, Iss. 6, pp. e205842-e205842
Open Access | Times Cited: 204

Hallmarks of Resistance to Immune-Checkpoint Inhibitors
Maria Karasarides, Alexandria P. Cogdill, Paul B. Robbins, et al.
Cancer Immunology Research (2022) Vol. 10, Iss. 4, pp. 372-383
Open Access | Times Cited: 74

Artificial intelligence applied in neoantigen identification facilitates personalized cancer immunotherapy
Yu Cai, Rui Chen, Shenghan Gao, et al.
Frontiers in Oncology (2023) Vol. 12
Open Access | Times Cited: 35

mRNA therapeutics: New vaccination and beyond
Huanhuan Wei, Liangliang Zheng, Zefeng Wang
Fundamental Research (2023) Vol. 3, Iss. 5, pp. 749-759
Open Access | Times Cited: 35

Personalized cancer vaccine design using AI-powered technologies
Anant Kumar, Shriniket Dixit, Kathiravan Srinivasan, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 8

Predicting Cross-Reactivity and Antigen Specificity of T Cell Receptors
Chloe H. Lee, Mariolina Salio, Giorgio Napolitani, et al.
Frontiers in Immunology (2020) Vol. 11
Open Access | Times Cited: 60

MUCIN-4 (MUC4) is a novel tumor antigen in pancreatic cancer immunotherapy
Shailendra K. Gautam, Sushil Kumar, Vi Dam, et al.
Seminars in Immunology (2020) Vol. 47, pp. 101391-101391
Open Access | Times Cited: 52

Landscape and selection of vaccine epitopes in SARS-CoV-2
Christof C. Smith, Kelly Olsen, Kaylee M. Gentry, et al.
Genome Medicine (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 48

The landscape of neoantigens and its clinical applications: From immunobiology to cancer vaccines
Chiranjib Chakraborty, Anirban Majumder, Manojit Bhattacharya, et al.
Current Research in Biotechnology (2024) Vol. 7, pp. 100177-100177
Open Access | Times Cited: 7

Stimulation of Oncogene-Specific Tumor-Infiltrating T Cells through Combined Vaccine and αPD-1 Enable Sustained Antitumor Responses against Established HER2 Breast Cancer
Erika J. Crosby, Chaitanya R. Acharya, Anthony-Fayez Haddad, et al.
Clinical Cancer Research (2020) Vol. 26, Iss. 17, pp. 4670-4681
Open Access | Times Cited: 41

Synthetic multiepitope neoantigen DNA vaccine for personalized cancer immunotherapy
Xiaoyue Yang, Jiansheng Fan, Yue Wu, et al.
Nanomedicine Nanotechnology Biology and Medicine (2021) Vol. 37, pp. 102443-102443
Closed Access | Times Cited: 34

NeoSplice: a bioinformatics method for prediction of splice variant neoantigens
Shengjie Chai, Christof C. Smith, Tavleen K. Kochar, et al.
Bioinformatics Advances (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 25

Structural basis for self-discrimination by neoantigen-specific TCRs
John P. Finnigan, Jenna H. Newman, Y. Patskovsky, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5

Neoantigens in Hematologic Malignancies
Melinda A. Biernacki, Marie Bleakley
Frontiers in Immunology (2020) Vol. 11
Open Access | Times Cited: 36

A Roadmap Toward the Definition of Actionable Tumor-Specific Antigens
Robin Minati, Claude Perreault, Pierre Thibault
Frontiers in Immunology (2020) Vol. 11
Open Access | Times Cited: 33

Optimizing Radiation Therapy to Boost Systemic Immune Responses in Breast Cancer: A Critical Review for Breast Radiation Oncologists
Alice Y. Ho, Jean L. Wright, Rachel Blitzblau, et al.
International Journal of Radiation Oncology*Biology*Physics (2020) Vol. 108, Iss. 1, pp. 227-241
Open Access | Times Cited: 32

Computational cancer neoantigen prediction: current status and recent advances
Georgios Fotakis, Zlatko Trajanoski, Dietmar Rieder
Immuno-Oncology Technology (2021) Vol. 12, pp. 100052-100052
Open Access | Times Cited: 30

LENS: Landscape of Effective Neoantigens Software
Steven Vensko, Kelly Olsen, Dante S. Bortone, et al.
Bioinformatics (2023) Vol. 39, Iss. 6
Open Access | Times Cited: 12

A transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity
Barbara Bravi, Andrea Di Gioacchino, Jorge Fernández-de-Cossio-Díaz, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 12

TumorAgDB1.0: tumor neoantigen database platform
Yan Shao, Yang Gao, Leslie Wu, et al.
Database (2025) Vol. 2025
Open Access

Historical perspective and future directions: computational science in immuno-oncology
Cora A. Ricker, Kevin Meli, Eliezer M. Van Allen
Journal for ImmunoTherapy of Cancer (2024) Vol. 12, Iss. 1, pp. e008306-e008306
Open Access | Times Cited: 3

Mechanistic regulation of HERV activation in tumors and implications for translational research in oncology
Elena Cherkasova, Long Chen, Richard W. Childs
Frontiers in Cellular and Infection Microbiology (2024) Vol. 14
Open Access | Times Cited: 3

Deep learning model for predicting postoperative survival of patients with gastric cancer
Jun‐Jie Zeng, Dan Song, Kai Li, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3

Assessment of SARS-CoV-2 specific CD4(+) and CD8 (+) T cell responses using MHC class I and II tetramers
Yuri Poluektov, Marybeth George, Pirouz Daftarian, et al.
Vaccine (2021) Vol. 39, Iss. 15, pp. 2110-2116
Open Access | Times Cited: 23

Page 1 - Next Page

Scroll to top