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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:

Pseudoprogression versus true progression in glioblastoma patients: A multiapproach literature review. Part 2 – Radiological features and metric markers
Clara Le Fèvre, Jean‐Marc Constans, Isabelle Chambrelant, et al.
Critical Reviews in Oncology/Hematology (2021) Vol. 159, pp. 103230-103230
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Artificial Intelligence in Brain Tumor Imaging: A Step toward Personalized Medicine
Maurizio Cè, Giovanni Irmici, Chiara Foschini, et al.
Current Oncology (2023) Vol. 30, Iss. 3, pp. 2673-2701
Open Access | Times Cited: 49
Liquid Biopsy of Cerebrospinal Fluid Enables Selective Profiling of Glioma Molecular Subtypes at First Clinical Presentation
Francesca Orzan, Francesca De Bacco, Elisabetta Lazzarini, et al.
Clinical Cancer Research (2023) Vol. 29, Iss. 7, pp. 1252-1266
Open Access | Times Cited: 32
Highlighted Advances in Therapies for Difficult-To-Treat Brain Tumours Such as Glioblastoma
Nuno Cruz, Manuel Herculano-Carvalho, Diogo Roque, et al.
Pharmaceutics (2023) Vol. 15, Iss. 3, pp. 928-928
Open Access | Times Cited: 31
Pseudoprogression in Glioblastoma: Role of Metabolic and Functional MRI-Systematic Review
Ingrid Sidibé, Fatima Tensaouti, Margaux Roques, et al.
Biomedicines (2022) Vol. 10, Iss. 2, pp. 285-285
Open Access | Times Cited: 27
Advanced Neuroimaging Approaches to Pediatric Brain Tumors
Rahul Nikam, Xuyi Yue, Gurcharanjeet Kaur, et al.
Cancers (2022) Vol. 14, Iss. 14, pp. 3401-3401
Open Access | Times Cited: 21
Artificial intelligence in the radiomic analysis of glioblastomas: A review, taxonomy, and perspective
Ming Zhu, Sijia Li, Yu Kuang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 21
Fully automated analysis combining [18F]-FET-PET and multiparametric MRI including DSC perfusion and APTw imaging: a promising tool for objective evaluation of glioma progression
Karolin J. Paprottka, Susan M. Kleiner, Christine Preibisch, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2021) Vol. 48, Iss. 13, pp. 4445-4455
Open Access | Times Cited: 26
Magnetic Resonance Spectroscopy in Diagnosis and Follow-Up of Gliomas: State-of-the-Art
Malik Galijašević, Ruth Steiger, Stephanie Mangesius, et al.
Cancers (2022) Vol. 14, Iss. 13, pp. 3197-3197
Open Access | Times Cited: 16
Pseudoprogression in GBM versus true progression in patients with glioblastoma: A multiapproach analysis
Ingrid Sidibé, Fatima Tensaouti, Julia Gilhodes, et al.
Radiotherapy and Oncology (2023) Vol. 181, pp. 109486-109486
Open Access | Times Cited: 10
Relapsed Medulloblastoma in Pre-Irradiated Patients: Current Practice for Diagnostics and Treatment
Rebecca M. Hill, Sabine Plasschaert, Beate Timmermann, et al.
Cancers (2021) Vol. 14, Iss. 1, pp. 126-126
Open Access | Times Cited: 21
Proton Therapy and Gliomas: A Systematic Review
Isabelle Chambrelant, Jordan Eber, D. Antoni, et al.
Radiation (2021) Vol. 1, Iss. 3, pp. 218-233
Open Access | Times Cited: 17
AI-Driven Image Analysis in Central Nervous System Tumors-Traditional Machine Learning, Deep Learning and Hybrid Models
A V Krauze, Ying Zhuge, Rachel Zhao, et al.
Journal of Biotechnology and Biomedicine (2022) Vol. 05, Iss. 01
Open Access | Times Cited: 11
Glioblastoma Pseudoprogression Discrimination Using Multiparametric Magnetic Resonance Imaging, Principal Component Analysis, and Supervised and Unsupervised Machine Learning
José Luis Thenier-Villa, Francisco Martínez‐Ricarte, Margarita Figueroa-Vezirian, et al.
World Neurosurgery (2024) Vol. 183, pp. e953-e962
Open Access | Times Cited: 2
Imaging and Liquid Biopsy for Distinguishing True Progression From Pseudoprogression in Gliomas, Current Advances and Challenges
Kaishu Li, Qihui Zhu, Junyi Yang, et al.
Academic Radiology (2024) Vol. 31, Iss. 8, pp. 3366-3383
Open Access | Times Cited: 2
Application of 7T MRS to High-Grade Gliomas
Lily McCarthy, Gaurav Verma, Gilbert Hangel, et al.
American Journal of Neuroradiology (2022) Vol. 43, Iss. 10, pp. 1378-1395
Open Access | Times Cited: 10
MR Perfusion Imaging for Gliomas
Jina Lee, Melissa Chen, Ho‐Ling Liu, et al.
Magnetic Resonance Imaging Clinics of North America (2023) Vol. 32, Iss. 1, pp. 73-83
Closed Access | Times Cited: 5
Radiomics analysis of amide proton transfer‐weighted and structural MR images for treatment response assessment in malignant gliomas
Shanshan Jiang, Pengfei Guo, Hye‐Young Heo, et al.
NMR in Biomedicine (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 8
A systematic update to circulating extracellular vesicles proteome; transcriptome and small RNA-ome as glioma diagnostic, prognostic and treatment-response biomarkers
Mehdi Nikoobakht, Parisa Shamshiripour, Mohadeseh Shahin, et al.
Cancer Treatment and Research Communications (2021) Vol. 30, pp. 100490-100490
Open Access | Times Cited: 11
Advances in diffuse glial tumors diagnosis
Luís Filipe de Souza Godoy, Vítor Ribeiro Paes, Aline Sgnolf Ayres, et al.
Arquivos de Neuro-Psiquiatria (2023) Vol. 81, Iss. 12, pp. 1134-1145
Open Access | Times Cited: 4
Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous
Gülnur Ungan, Albert Pons‐Escoda, Daniel Ulinic, et al.
NMR in Biomedicine (2024) Vol. 37, Iss. 4
Open Access | Times Cited: 1
Distinguishing glioblastoma progression from treatment-related changes using DTI directionality growth analysis
Rik van den Elshout, Benthe Ariëns, Morteza Esmaeili, et al.
Neuroradiology (2024)
Open Access | Times Cited: 1
Systemic inflammatory markers and volume of enhancing tissue on post-contrast T1w MRI images in differentiating true tumor progression from pseudoprogression in high-grade glioma
Camilla Satragno, Irene Schiavetti, Eugenia Cella, et al.
Clinical and Translational Radiation Oncology (2024) Vol. 49, pp. 100849-100849
Open Access | Times Cited: 1
A Radiologist’s Guide to IDH-Wildtype Glioblastoma for Efficient Communication With Clinicians: Part II–Essential Information on Post-Treatment Imaging
Philipp Kickingereder, Philipp Karschnia, Felix Sahm, et al.
Korean Journal of Radiology (2024) Vol. 26
Closed Access | Times Cited: 1
Circulating Biomarkers in Glioblastoma
Dimitrios Mathios, Jillian Phallen
The Cancer Journal (2021) Vol. 27, Iss. 5, pp. 404-409
Closed Access | Times Cited: 10
Incidence and outcome of pseudoprogression after radiation therapy in glioblastoma patients: A cohort study
Hanne Blakstad, Eduardo Erasmo Mendoza Mireles, Liv Cathrine Heggebø, et al.
Neuro-Oncology Practice (2023) Vol. 11, Iss. 1, pp. 36-45
Open Access | Times Cited: 3
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