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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:

MRI predictors for brain invasion in meningiomas
Thomas Ong, Aditya Bharatha, Reema Alsufayan, et al.
The Neuroradiology Journal (2020) Vol. 34, Iss. 1, pp. 3-7
Open Access | Times Cited: 19

Showing 19 citing articles:

A Clinical Semantic and Radiomics Nomogram for Predicting Brain Invasion in WHO Grade II Meningioma Based on Tumor and Tumor-to-Brain Interface Features
Ning Li, Yan Mo, Chencui Huang, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 33
Shape and texture analyses based on conventional MRI for the preoperative prediction of the aggressiveness of pituitary adenomas
Xiaoqing Wang, Yongming Dai, Hai Lin, et al.
European Radiology (2023) Vol. 33, Iss. 5, pp. 3312-3321
Closed Access | Times Cited: 14
Brain Invasion in Meningioma—A Prognostic Potential Worth Exploring
Felix Behling, Johann-Martin Hempel, Jens Schittenhelm
Cancers (2021) Vol. 13, Iss. 13, pp. 3259-3259
Open Access | Times Cited: 29
MRI morphological features combined with apparent diffusion coefficient can predict brain invasion in meningioma
Xiaoyu Huang, Yuntai Cao, Guojin Zhang, et al.
Computers in Biology and Medicine (2025) Vol. 187, pp. 109763-109763
Closed Access
Meningiomas with CNS invasion
Konstantinos Gousias, Leonidas Trakolis, Matthias Simon
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 9
MRI- and DWI-Based Radiomics Features for Preoperatively Predicting Meningioma Sinus Invasion
Yuan Gui, Fen Chen, Jialiang Ren, et al.
Deleted Journal (2024) Vol. 37, Iss. 3, pp. 1054-1066
Open Access | Times Cited: 1
Multiparameter MRI-based radiomics nomogram for preoperative prediction of brain invasion in atypical meningioma:a multicentre study
Jinna Yu, Xin Kong, Dong Xie, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Updated Systematic Review on the Role of Brain Invasion in Intracranial Meningiomas: What, When, Why?
Lara Brunasso, Lapo Bonosi, Roberta Costanzo, et al.
Cancers (2022) Vol. 14, Iss. 17, pp. 4163-4163
Open Access | Times Cited: 6
Type IV collagen-derived angiogenesis inhibitor: canstatin low expressing in brain-invasive meningiomas using liquid chromatography–mass spectrometry (LC-MS/MS)
Jian Pei, Pei Li, Yun H. Gao, et al.
Journal of Neuro-Oncology (2023) Vol. 161, Iss. 2, pp. 415-423
Open Access | Times Cited: 3
Statistical analyses of motion-corrupted MRI relaxometry data computed from multiple scans
Nadège Corbin, Rita Oliveira, Quentin Raynaud, et al.
Journal of Neuroscience Methods (2023) Vol. 398, pp. 109950-109950
Open Access | Times Cited: 3
Nomogram based on MRI can preoperatively predict brain invasion in meningioma
Jing Zhang, Yuntai Cao, Guojin Zhang, et al.
Neurosurgical Review (2022) Vol. 45, Iss. 6, pp. 3729-3737
Open Access | Times Cited: 4
Emergency Surgical Management of Meningiomas: Factors Affecting Early Outcomes and Complications
Gaurav Tyagi, Mustafa Iqbal Chandshah, Gyani Jail Singh Birua, et al.
Asian Journal of Neurosurgery (2024) Vol. 19, Iss. 04, pp. 715-720
Open Access
Aggressive Versus More Conservative Surgery for Invasive Meningiomas
Francesco Maiuri, Marialaura Del Basso De
(2024), pp. 153-162
Closed Access
Detection and Localization of Glioma and Meningioma Tumors in Brain MR Images using Deep Learning
Emine Cengil, Yeşim Eroğlu, Ahmet Çınar, et al.
Sakarya University Journal of Science (2023) Vol. 27, Iss. 3, pp. 550-563
Open Access | Times Cited: 1
Benefits of Combined MRI Sequences in Meningioma Consistency Prediction: A Prospective Study of 287 Consecutive Patients
Kriengsak Limpastan, Kittisak Unsrisong, Tanat Vaniyapong, et al.
Asian Journal of Neurosurgery (2022) Vol. 17, Iss. 04, pp. 614-620
Open Access | Times Cited: 2
Surgical Management of Intracranial Meningiomas
R. Timothy Bentley
(2023), pp. 223-240
Closed Access
Statistical analyses of motion-corrupted MRI relaxometry data
Nadège Corbin, Rita Oliveira, Quentin Raynaud, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Nomogram Based on MRI Can Preoperatively Predict Brain Invasion in Meningioma
Jing Zhang, Yuntai Cao, Zhiyong Zhao, et al.
Research Square (Research Square) (2022)
Open Access
Clinicopathological features, imaging characteristics and surgical management in a novel tumour entity - aggressive meningiomas
G. Popescu, Francesca Gabriela Paslaru, A.C. Paslaru, et al.
Romanian Neurosurgery (2021), pp. 408-411
Open Access
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