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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:

Use of Vesical Imaging-Reporting and Data System (VI-RADS) for detecting the muscle invasion of bladder cancer: a diagnostic meta-analysis
Cheng Luo, Bin Huang, Yukun Wu, et al.
European Radiology (2020) Vol. 30, Iss. 8, pp. 4606-4614
Closed Access | Times Cited: 82

Showing 26-50 of 82 citing articles:

Recommandations françaises du Comité de cancérologie de l’AFU – actualisation 2020–2022 : tumeurs de la vessie
Morgan Rouprêt, G. Pignot, A. Masson-Lecomte, et al.
Progrès en Urologie (2020) Vol. 30, Iss. 12, pp. S78-S135
Closed Access | Times Cited: 31
Diagnostic accuracy of vesical imaging-reporting and data system (VI-RADS) in suspected muscle invasive bladder cancer: A systematic review and diagnostic meta-analysis
Seyed Behzad Jazayeri, Hojat Dehghanbanadaki, Mahdie Hosseini, et al.
Urologic Oncology Seminars and Original Investigations (2021) Vol. 40, Iss. 2, pp. 45-55
Closed Access | Times Cited: 26
Clinical validity of non-contrast-enhanced VI-RADS: prospective study using 3-T MRI with high-gradient magnetic field
Masanaka Watanabe, Satoru Taguchi, Haruhiko Machida, et al.
European Radiology (2022) Vol. 32, Iss. 11, pp. 7513-7521
Open Access | Times Cited: 16
Multiparametric magnetic resonance imaging for bladder cancer: a comprehensive systematic review of the Vesical Imaging-Reporting and Data System (VI-RADS) performance and potential clinical applications
Denis Séguier, Philippe Puech, Ronald Kool, et al.
Therapeutic Advances in Urology (2021) Vol. 13
Open Access | Times Cited: 22
VI-RADS score system - A primer for urologists
Refky Nicola, Martina Pecoraro, Sara Lucciola, et al.
International braz j urol (2022) Vol. 48, Iss. 4, pp. 609-622
Open Access | Times Cited: 15
French AFU Cancer Committee Guidelines - Update 2022-2024: Non-muscle-invasive bladder cancer (NMIBC)
Y. Neuzillet, Benjamin Pradère, E. Xylinas, et al.
Progrès en Urologie (2022) Vol. 32, Iss. 15, pp. 1102-1140
Closed Access | Times Cited: 15
Multiparametric MRI-based VI-RADS: can it predict 1- to 5-year recurrence of bladder cancer?
Xiaopan Xu, Yiping Huang, Yang Liu, et al.
European Radiology (2023) Vol. 34, Iss. 5, pp. 3034-3045
Closed Access | Times Cited: 8
The efficacy and reliability of VI‐RADS in determining candidates for repeated transurethral resection in patients with high‐risk non‐muscle invasive bladder cancer
Mustafa Erkoç, Alper Ötünçtemur, Muammer Bozkurt, et al.
International Journal of Clinical Practice (2021) Vol. 75, Iss. 9
Closed Access | Times Cited: 20
Diagnostic accuracy of vesical imaging-reporting and data system (VI-RADS) for the detection of muscle-invasive bladder cancer: a meta-analysis
Yuebo Feng, Kai Zhong, Rui Chen, et al.
Abdominal Radiology (2022) Vol. 47, Iss. 4, pp. 1396-1405
Closed Access | Times Cited: 13
Proposal for a New Vesical Imaging-Reporting and Data System (VI-RADS)-Based Algorithm for the Management of Bladder Cancer: A Paradigm Shift From the Current Transurethral Resection of Bladder Tumor (TURBT)-Dependent Practice
Satoru Taguchi, Masanaka Watanabe, Mitsuhiro Tambo, et al.
Clinical Genitourinary Cancer (2022) Vol. 20, Iss. 4, pp. e291-e295
Closed Access | Times Cited: 13
Diagnostic accuracy and discriminative power of biparametric versus multiparametric MRI in predicting muscle-invasive bladder cancer
Al Shaimaa Fathi Elshetry, Rabab Mahmoud El-fawakry, Enas Mahmoud Hamed, et al.
European Journal of Radiology (2022) Vol. 151, pp. 110282-110282
Closed Access | Times Cited: 13
Comparison of staging MRI to re‐resection for localised bladder cancer: Narrative review
Hugo Klempfner, Paul Anderson
BJUI Compass (2024) Vol. 5, Iss. 7, pp. 651-661
Open Access | Times Cited: 2
Study Progress of Noninvasive Imaging and Radiomics for Decoding the Phenotypes and Recurrence Risk of Bladder Cancer
Xiaopan Xu, Huanjun Wang, Yan Guo, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 17
Accuracy and Challenges in the Vesical Imaging‐Reporting and Data System for Staging Bladder Cancer
Xiaoyan Meng, Henglong Hu, Yanchun Wang, et al.
Journal of Magnetic Resonance Imaging (2022) Vol. 56, Iss. 2, pp. 391-398
Closed Access | Times Cited: 12
Prospective assessment of VI-RADS score in multiparametric MRI in bladder cancer: accuracy and the factors affecting the results
Ural Oğuz, Tümay Bekçi, Ercan Öğreden, et al.
Diagnostic and Interventional Radiology (2022) Vol. 28, Iss. 5, pp. 396-402
Open Access | Times Cited: 12
Performance of VI-RADS in predicting muscle-invasive bladder cancer after transurethral resection: a single center retrospective analysis
Jessie L. Chai, Lauren A. Roller, Xiaoyang Liu, et al.
Abdominal Radiology (2024) Vol. 49, Iss. 5, pp. 1593-1602
Closed Access | Times Cited: 2
Diagnostic performance of the vesical imaging-reporting and data system for detecting muscle-invasive bladder cancer in real clinical settings: Comparison with diagnostic cystoscopy
Ryohei Kufukihara, Eiji Kikuchi, Keisuke Shigeta, et al.
Urologic Oncology Seminars and Original Investigations (2021) Vol. 40, Iss. 2, pp. 61.e1-61.e8
Open Access | Times Cited: 15
Role of Vesical Imaging–Reporting and Data System in predicting muscle‐invasive bladder cancer: A diagnostic meta‐analysis
Baorui Yuan, Lingkai Cai, Qiang Cao, et al.
International Journal of Urology (2021) Vol. 29, Iss. 3, pp. 186-195
Open Access | Times Cited: 13
Integrating radiomics with the vesical imaging-reporting and data system to predict muscle invasion of bladder cancer
Wei Wang, Wei Li, Kexin Wang, et al.
Urologic Oncology Seminars and Original Investigations (2022) Vol. 41, Iss. 6, pp. 294.e1-294.e8
Closed Access | Times Cited: 9
Multiparametric MRI in Era of Artificial Intelligence for Bladder Cancer Therapies
Oğuz Akın, Alfonso Lema-Dopico, Ramesh Paudyal, et al.
Cancers (2023) Vol. 15, Iss. 22, pp. 5468-5468
Open Access | Times Cited: 5
Vesical imaging reporting and data system (VI-RADS) could predict the survival of bladder-cancer patients who received radical cystectomy
Juntao Zhuang, Lingkai Cai, Huanyou Sun, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Significance of Normalized Apparent Diffusion Coefficient in the Vesical Imaging‐Reporting and Data System for Diagnosing Muscle‐Invasive Bladder Cancer
Peikun Liu, Lingkai Cai, Ruixi Yu, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 60, Iss. 4, pp. 1639-1647
Closed Access | Times Cited: 5
Seeing is Believing: State of the Art Imaging of Bladder Cancer
Emanuele Messina, Martina Pecoraro, Martina Lucia Pisciotti, et al.
Seminars in Radiation Oncology (2022) Vol. 33, Iss. 1, pp. 12-20
Closed Access | Times Cited: 8
Is high accuracy of Vesical Imaging-Reporting and Data System (VI-RADS) sufficient for its implementation in the urological practice?
Kateřina Ryšánková, Pavla Hanzlíková, Vladimir Židlík, et al.
Biomedical Papers (2023) Vol. 167, Iss. 1, pp. 85-90
Open Access | Times Cited: 4
CA125 for the Diagnosis of Advanced Urothelial Carcinoma of the Bladder: A Systematic Review and Meta-Analysis
Hsuan‐Jen Lin, Rouh‐Mei Hu, Hung-Chih Chen, et al.
Cancers (2023) Vol. 15, Iss. 3, pp. 813-813
Open Access | Times Cited: 4

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