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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:

Preoperative Prediction of Intracranial Meningioma Grade Using Conventional CT and MRI
Toshiyuki Amano, Akira Nakamizo, Hideki Murata, et al.
Cureus (2022)
Open Access | Times Cited: 12

Showing 12 citing articles:

Performance of Radiomics-based machine learning and deep learning-based methods in the prediction of tumor grade in meningioma: a systematic review and meta-analysis
Roozbeh Tavanaei, Mohammadhosein Akhlaghpasand, Alireza Alikhani, et al.
Neurosurgical Review (2025) Vol. 48, Iss. 1
Closed Access | Times Cited: 1
Meningioma: Molecular Updates from the 2021 World Health Organization Classification of CNS Tumors and Imaging Correlates
Neetu Soni, Manish Ora, Girish Bathla, et al.
American Journal of Neuroradiology (2024) Vol. 46, Iss. 2, pp. 240-250
Closed Access | Times Cited: 4
Predicting Histologic Grade of Meningiomas Using a Combined Model of Radiomic and Clinical Imaging Features from Preoperative MRI
Jae Young Park, Le Thanh Quang, Woong Yoon, et al.
Biomedicines (2023) Vol. 11, Iss. 12, pp. 3268-3268
Open Access | Times Cited: 8
Utility of Apparent Diffusion Coefficient Histogram Analysis in Differentiating Microcystic Meningioma from Intracranial Solitary Fibrous Tumor
Xianwang Liu, Tao Han, Yuzhu Wang, et al.
World Neurosurgery (2023) Vol. 177, pp. e446-e452
Closed Access | Times Cited: 3
Principal component analysis of texture features for grading of meningioma: not effective from the peritumoral area but effective from the tumor area
Naoko Mori, Shunji Mugikura, Toshiki Endo, et al.
Neuroradiology (2022) Vol. 65, Iss. 2, pp. 257-274
Closed Access | Times Cited: 4
Thioredoxin System and miR-21, miR-23a/b and let-7a as Potential Biomarkers for Brain Tumor Progression: Preliminary Case Data
Nedret Kılıç, Özge Boyacıoğlu, Gamze Turna, et al.
World Neurosurgery (2022) Vol. 167, pp. e1299-e1309
Closed Access | Times Cited: 3
Radiographic predictors of peritumoral brain edema in intracranial meningiomas: a review of current controversies and illustrative cases
Darko Orešković, Andrea Blažević, Anđelo Kaštelančić, et al.
Chinese Neurosurgical Journal (2024) Vol. 10, Iss. 1
Open Access
Study of prediction model for high-grade meningioma using fractal geometry combined with radiological features
Zhaoxin Fan, Aili Gao, Jie Zhang, et al.
Journal of Neuro-Oncology (2024)
Closed Access
Prognostic Factors for Parasagital Meningiomas Recurrence
Vadym Perepelytsia, Andriy Sirko
Ukrainian Scientific Medical Youth Journal (2023) Vol. 136, Iss. 1, pp. 68-83
Open Access | Times Cited: 1
The prognostic role of Ki67, p53, Her2, and CyD1 immunohistochemical markers in recurrent parasagittal meningiomas
Andriy Sirko, I. S. Shponka, Vadym Perepelytsia, et al.
Ukrainian Neurosurgical Journal (2023) Vol. 29, Iss. 2, pp. 35-42
Open Access
Factores que influyen en el grado de resección y propuesta de escala preoperatoria para el manejo de meningiomas de base de cráneo
Pilar Díez de Revenga Torres, Guido Bennum, M. Alonso, et al.
Revista Argentina de Neurocirugía (2023) Vol. 37, Iss. 01
Open Access
Factors Influencing the Degree of Resection and Proposed Preoperative Scale for The Management of Skull Base Meningiomas
Torres Pilar
Journal of Clinical Surgery and Research (2023) Vol. 4, Iss. 3, pp. 01-10
Open Access
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