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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:

Multiparametric Magnetic Resonance Imaging of Solid Renal Tumors: A Practical Algorithm
F. Cornélis, N. Grenier
Seminars in Ultrasound CT and MRI (2016) Vol. 38, Iss. 1, pp. 47-58
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

How We Do It: Managing the Indeterminate Renal Mass with the MRI Clear Cell Likelihood Score
Iván Pedrosa, Jeffrey A. Cadeddu
Radiology (2021) Vol. 302, Iss. 2, pp. 256-269
Open Access | Times Cited: 57
Update on Renal Cell Carcinoma Diagnosis with Novel Imaging Approaches
Marie‐France Bellin, Catarina Valente, Omar Bekdache, et al.
Cancers (2024) Vol. 16, Iss. 10, pp. 1926-1926
Open Access | Times Cited: 10
French AFU Cancer Committee Guidelines - Update 2022-2024: management of kidney cancer
Pierre Bigot, Philippe Barthélémy, R. Boissier, et al.
Progrès en Urologie (2022) Vol. 32, Iss. 15, pp. 1195-1274
Closed Access | Times Cited: 33
Characterization of small (<4 cm) solid renal masses by computed tomography and magnetic resonance imaging: Current evidence and further development
Nicola Schieda, Robert Lim, Matthew D. F. McInnes, et al.
Diagnostic and Interventional Imaging (2018) Vol. 99, Iss. 7-8, pp. 443-455
Open Access | Times Cited: 54
Imaging of Solid Renal Masses
Fernando Uliana Kay, Iván Pedrosa
Urologic Clinics of North America (2018) Vol. 45, Iss. 3, pp. 311-330
Open Access | Times Cited: 54
The role of imaging in the management of renal masses
Athina C. Tsili, Efthimios Andriotis, Myrsini Gkeli, et al.
European Journal of Radiology (2021) Vol. 141, pp. 109777-109777
Open Access | Times Cited: 36
Active Surveillance of Renal Masses: The Role of Radiology
Nicola Schieda, Satheesh Krishna, Iván Pedrosa, et al.
Radiology (2021) Vol. 302, Iss. 1, pp. 11-24
Closed Access | Times Cited: 36
Artificial intelligence for renal cancer: From imaging to histology and beyond
Karl‐Friedrich Kowalewski, Luisa Egen, Chanel Fischetti, et al.
Asian journal of urology (2022) Vol. 9, Iss. 3, pp. 243-252
Open Access | Times Cited: 24
Imaging protocols for renal multiparametric MRI and MR urography: results of a consensus conference from the French Society of Genitourinary Imaging
Olivier Rouvière, F. Cornélis, Serge Brunelle, et al.
European Radiology (2020) Vol. 30, Iss. 4, pp. 2103-2114
Closed Access | Times Cited: 34
Renal and adrenal masses containing fat at MRI: Proposed nomenclature by the society of abdominal radiology disease‐focused panel on renal cell carcinoma
Nicola Schieda, Matthew S. Davenport, Iván Pedrosa, et al.
Journal of Magnetic Resonance Imaging (2019) Vol. 49, Iss. 4, pp. 917-926
Open Access | Times Cited: 35
Role of Virtual Biopsy in the Management of Renal Masses
Alberto Diaz de Leon, Matthew S. Davenport, Stuart G. Silverman, et al.
American Journal of Roentgenology (2019) Vol. 212, Iss. 6, pp. 1234-1243
Open Access | Times Cited: 27
Recommandations françaises du Comité de cancérologie de l’AFU – actualisation 2020–2022 : prise en charge du cancer du rein
Karim Bensalah, Pierre Bigot, Laurence Albigès, et al.
Progrès en Urologie (2020) Vol. 30, Iss. 12, pp. S2-S51
Closed Access | Times Cited: 23
A CT-Based Clinical, Radiological and Radiomic Machine Learning Model for Predicting Malignancy of Solid Renal Tumors (UroCCR-75)
Cassandre Garnier, Loïc Ferrer, Jennifer Harford Vargas, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2548-2548
Open Access | Times Cited: 7
French AFU Cancer Committee Guidelines – Update 2024–2026: Management of kidney cancer
P. Bigot, Romain Boissier, Z. Khene, et al.
Deleted Journal (2024) Vol. 34, Iss. 12, pp. 102735-102735
Open Access | Times Cited: 2
Predicting common solid renal tumors using machine learning models of classification of radiologist-assessed magnetic resonance characteristics
Camila Lopes Vendrami, Robert J. McCarthy, Carolina Parada Villavicencio, et al.
Abdominal Radiology (2020) Vol. 45, Iss. 9, pp. 2797-2809
Closed Access | Times Cited: 13
Update on Gadolinium-Based Contrast Agent–Enhanced Imaging in the Genitourinary System
Nicola Schieda, Satheesh Krishna, Matthew S. Davenport
American Journal of Roentgenology (2019) Vol. 212, Iss. 6, pp. 1223-1233
Closed Access | Times Cited: 12
Deep-learning-based ensemble method for fully automated detection of renal masses on magnetic resonance images
Agarwal Anush, Rohini Gaikar, Nicola Schieda, et al.
Journal of Medical Imaging (2023) Vol. 10, Iss. 02
Open Access | Times Cited: 4
The future of percutaneous renal ablation
F. Cornélis
Diagnostic and Interventional Imaging (2017) Vol. 98, Iss. 4, pp. 285-286
Closed Access | Times Cited: 12
Evaluation of a free-breathing respiratory-triggered (Navigator) 3-D T1-weighted (T1W) gradient recalled echo sequence (LAVA) for detection of enhancement in cystic and solid renal masses
Wendy Tu, Abdulrahman Alzahrani, Stephen Currin, et al.
European Radiology (2018) Vol. 29, Iss. 5, pp. 2507-2517
Closed Access | Times Cited: 9
Differentiation of Small Clear Renal Cell Carcinoma and Oncocytoma through Magnetic Resonance Imaging-Based Radiomics Analysis: Toward the End of Percutaneous Biopsy
Thibault Toffoli, Olivier Saut, Christele Etchegaray, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 10, pp. 1444-1444
Open Access | Times Cited: 3
Quantitative 3-tesla multiparametric MRI in differentiation between renal cell carcinoma subtypes
Ali Elsorougy, Hashim Farg, Dalia Bayoumi, et al.
The Egyptian Journal of Radiology and Nuclear Medicine (2021) Vol. 52, Iss. 1
Open Access | Times Cited: 6
Diagnostic and interventional radiology is a milestone in the management of renal tumors in Birt-Hugg-Dubé syndrome
F. Cornélis, Jean‐Christophe Bernhard
Diagnostic and Interventional Imaging (2019) Vol. 100, Iss. 11, pp. 657-658
Open Access | Times Cited: 5
Diagnostic accuracy of the Clear Cell Likelihood Score and selected MRI parameters in the characterization of indeterminate renal masses – a single-institution study
Tomasz Blachura, Patrycja S. Matusik, A. Kowal, et al.
Abdominal Radiology (2024) Vol. 49, Iss. 11, pp. 3893-3901
Open Access
Role of intravoxel incoherent motion diffusion-weighted MRI in differentiation of renal cell carcinoma subtypes
Amira R. Mahmoud, Nehad Fouda, Eman Mohamed Helmy, et al.
The Egyptian Journal of Radiology and Nuclear Medicine (2024) Vol. 55, Iss. 1
Open Access
Is fat quantification based on proton density fat fraction useful for differentiating renal tumor types?
Canan Altay, İşıl Başara Akin, Hakan Abdullah Özgül, et al.
Abdominal Radiology (2024)
Closed Access
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