Open Access Helper

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:

New insights into glioma frequency maps: From genetic and transcriptomic correlate to survival prediction
Hongbo Bao, Peng Ren, Liye Yi, et al.
International Journal of Cancer (2022) Vol. 152, Iss. 5, pp. 998-1012
Open Access | Times Cited: 13

Showing 13 citing articles:

SV2B/miR-34a/miR-128 axis as prognostic biomarker in glioblastoma multiforme
Denis Mustafov, Safia Siddiqui, Ladislav Klena, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
The cross-modality survival prediction method of glioblastoma based on dual-graph neural networks
Jindong Sun, Yanjun Peng
Expert Systems with Applications (2024) Vol. 254, pp. 124394-124394
Closed Access | Times Cited: 3
Multi‐scale brain attributes contribute to the distribution of diffuse glioma subtypes
Peng Ren, Hongbo Bao, Shuai Wang, et al.
International Journal of Cancer (2024) Vol. 155, Iss. 9, pp. 1670-1683
Closed Access | Times Cited: 2
The involvement of brain regions associated with lower KPS and shorter survival time predicts a poor prognosis in glioma
Hongbo Bao, Huan Wang, Qian Sun, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 5
Advances in AI-based genomic data analysis for cancer survival prediction
Deepali Deepali, Neelam Goel, Padmavati Khandnor
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Survival prediction of glioblastoma patients using machine learning and deep learning: a systematic review
Roya Poursaeed, Mohsen Mohammadzadeh, Ali Asghar Safaei
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
The Spatial Distribution of Brain Metastasis Is Determined by the Heterogeneity of the Brain Microenvironment
Hongbo Bao, Peng Ren, Xia Liang, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 18
Open Access
New insights into mapping lesion and neurotransmitter distribution comparisons in MOG-ab and AQP4-ab neuromyelitis optica spectrum disorders
Yinan Zhao, Lei Liu, Pu‐Yeh Wu, et al.
Research Square (Research Square) (2024)
Open Access
Prognostic values and immune infiltration of KLF15, AQP7, AGPAT9 in glioma and glioblastoma
Ayobami Matthew Olajuyin, Onyinyechi Sharon Nwachukwu, Adefunke Kafayat Olajuyin, et al.
Future Journal of Pharmaceutical Sciences (2024) Vol. 10, Iss. 1
Open Access
Spatial distribution of supratentorial diffuse gliomas: A retrospective study of 990 cases
Gen Li, Chuandong Yin, Chuanhao Zhang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access
Reply to: Comments on “New insights into glioma frequency maps: From genetic and transcriptomic correlate to survival prediction”
Hongbo Bao, Peng Ren, Peng Liang, et al.
International Journal of Cancer (2023) Vol. 153, Iss. 3, pp. 683-684
Closed Access
Comments on “New insights into glioma frequency maps: From genetic and transcriptomic correlate to survival prediction”
Siamak Sabour, Fariba Ghassemi
International Journal of Cancer (2023) Vol. 153, Iss. 3, pp. 681-682
Closed Access
Page 1

Scroll to top