Jorge Abreu‐Gomez

438 total citations
22 papers, 303 citations indexed

About

Jorge Abreu‐Gomez is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Jorge Abreu‐Gomez has authored 22 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 12 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Jorge Abreu‐Gomez's work include Prostate Cancer Diagnosis and Treatment (16 papers), Prostate Cancer Treatment and Research (14 papers) and MRI in cancer diagnosis (8 papers). Jorge Abreu‐Gomez is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (16 papers), Prostate Cancer Treatment and Research (14 papers) and MRI in cancer diagnosis (8 papers). Jorge Abreu‐Gomez collaborates with scholars based in Canada, United States and United Kingdom. Jorge Abreu‐Gomez's co-authors include Nicola Schieda, Christopher S. Lim, Matthew D. F. McInnes, Satheesh Krishna, Trevor A. Flood, Krishna Shanbhogue, Wendy Tu, Rebecca E. Thornhill, Gerd Melkus and Adriano Basso Dias and has published in prestigious journals such as American Journal of Roentgenology, Medical Physics and Journal of Magnetic Resonance Imaging.

In The Last Decade

Jorge Abreu‐Gomez

22 papers receiving 303 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jorge Abreu‐Gomez Canada	12	222	172	51	49	20	22	303
Giorgio Calleris Italy	12	334 1.5×	152 0.9×	84 1.6×	95 1.9×	15 0.8×	46	427
Samuel Gold United States	11	361 1.6×	120 0.7×	84 1.6×	157 3.2×	8 0.4×	37	432
Matteo Droghetti Italy	10	198 0.9×	64 0.4×	61 1.2×	49 1.0×	7 0.3×	38	264
Graham Hale United States	11	359 1.6×	123 0.7×	77 1.5×	154 3.1×	8 0.4×	28	433
Heminder Sokhi United Kingdom	11	377 1.7×	222 1.3×	123 2.4×	65 1.3×	11 0.6×	20	514
W Dähnert United States	7	262 1.2×	67 0.4×	50 1.0×	100 2.0×	10 0.5×	13	348
Taek Min Kim South Korea	10	98 0.4×	193 1.1×	53 1.0×	13 0.3×	4 0.2×	28	349
Ki Choon Sim South Korea	10	115 0.5×	124 0.7×	92 1.8×	9 0.2×	12 0.6×	44	290
Francesco Prata Italy	10	144 0.6×	27 0.2×	139 2.7×	30 0.6×	16 0.8×	42	291
Lulin Ma China	10	178 0.8×	53 0.3×	36 0.7×	70 1.4×	9 0.5×	24	227

Countries citing papers authored by Jorge Abreu‐Gomez

Since Specialization

Citations

This map shows the geographic impact of Jorge Abreu‐Gomez's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jorge Abreu‐Gomez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Abreu‐Gomez more than expected).

Fields of papers citing papers by Jorge Abreu‐Gomez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Abreu‐Gomez. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jorge Abreu‐Gomez. The network helps show where Jorge Abreu‐Gomez may publish in the future.

Co-authorship network of co-authors of Jorge Abreu‐Gomez

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Abreu‐Gomez. A scholar is included among the top collaborators of Jorge Abreu‐Gomez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jorge Abreu‐Gomez. Jorge Abreu‐Gomez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mariussi, Miriana, Stephan Altmayer, Francesco Giganti, et al.. (2024). Prostate Magnetic Resonance Imaging Using the Prostate Imaging for Recurrence Reporting (PI-RR) Scoring System to Detect Recurrent Prostate Cancer: A Systematic Review and Meta-analysis. European Urology Oncology. 7(6). 1246–1254. 2 indexed citations

Abreu‐Gomez, Jorge, Christopher S. Lim, & Masoom A. Haider. (2023). Contemporary Approach to Prostate Imaging and Data Reporting System Score 3 Lesions. Radiologic Clinics of North America. 62(1). 37–51. 1 indexed citations

Tu, Wendy, et al.. (2022). Evaluation of the T2-weighted (T2W) adrenal MRI calculator to differentiate adrenal pheochromocytoma from lipid-poor adrenal adenoma. European Radiology. 32(12). 8247–8255. 6 indexed citations

Lim, Christopher S., et al.. (2021). Prevalence of prostate cancer in PI-RADS version 2.1 T2-weighted transition zone ‘nodule in nodule’ and ‘homogeneous mildly hypointense area between nodules’ criteria: MRI-radical prostatectomy histopathological evaluation. European Radiology. 31(10). 7792–7801. 1 indexed citations

Abreu‐Gomez, Jorge, et al.. (2021). Pharmacokinetic modeling of dynamic contrast-enhanced (DCE)-MRI in PI-RADS category 3 peripheral zone lesions: preliminary study evaluating DCE-MRI as an imaging biomarker for detection of clinically significant prostate cancers. Abdominal Radiology. 46(9). 4370–4380. 10 indexed citations

Wong, Timothy C., et al.. (2021). Fully automated detection of prostate transition zone tumors on T2‐weighted and apparent diffusion coefficient (ADC) map MR images using U‐Net ensemble. Medical Physics. 48(11). 6889–6900. 10 indexed citations

Lim, Christopher S., et al.. (2021). Utility of machine learning of apparent diffusion coefficient (ADC) and T2-weighted (T2W) radiomic features in PI-RADS version 2.1 category 3 lesions to predict prostate cancer diagnosis. Abdominal Radiology. 46(12). 5647–5658. 26 indexed citations

Abreu‐Gomez, Jorge, et al.. (2020). Effect of observation size and apparent diffusion coefficient (ADC) value in PI-RADS v2.1 assessment category 4 and 5 observations compared to adverse pathological outcomes. European Radiology. 30(8). 4251–4261. 19 indexed citations

Lim, Christopher S., et al.. (2020). When to biopsy Prostate Imaging and Data Reporting System version 2 (PI-RADSv2) assessment category 3 lesions? Use of clinical and imaging variables to predict cancer diagnosis at targeted biopsy. Canadian Urological Association Journal. 15(4). 115–121. 13 indexed citations

10.

Abreu‐Gomez, Jorge, et al.. (2020). Multiparametric magnetic resonance imaging of the prostate at 1.5-Tesla without endorectal coil: Can it be used to detect clinically significant prostate cancer in men with medical devices that are contraindicated at 3-Tesla?. Canadian Urological Association Journal. 15(3). E180–E183. 1 indexed citations

11.

Schieda, Nicola, Christopher S. Lim, Fatemeh Zabihollahy, et al.. (2020). Quantitative Prostate MRI. Journal of Magnetic Resonance Imaging. 53(6). 1632–1645. 46 indexed citations

12.

Tu, Wendy, et al.. (2020). Utility of T2-weighted MRI to Differentiate Adrenal Metastases from Lipid-Poor Adrenal Adenomas. Radiology Imaging Cancer. 2(6). e200011–e200011. 23 indexed citations

13.

Lim, Christopher S., et al.. (2020). Prevalence of Prostate Cancer in PI-RADS Version 2.1 Transition Zone Atypical Nodules Upgraded by Abnormal DWI: Correlation With MRI-Directed TRUS-Guided Targeted Biopsy. American Journal of Roentgenology. 216(3). 683–690. 23 indexed citations

14.

Pricolo, Paola, Paul Summers, Jorge Abreu‐Gomez, et al.. (2020). Whole-body magnetic resonance imaging (WB-MRI) reporting with the METastasis Reporting and Data System for Prostate Cancer (MET-RADS-P): inter-observer agreement between readers of different expertise levels. Cancer Imaging. 20(1). 23 indexed citations

15.

Abreu‐Gomez, Jorge, Mark Wu, Matthew D. F. McInnes, et al.. (2020). Shape Analysis of Peripheral Zone Observations on Prostate DWI: Correlation to Histopathology Outcomes After Radical Prostatectomy. American Journal of Roentgenology. 214(6). 1239–1247. 13 indexed citations

16.

Moran, Kevin T., Jorge Abreu‐Gomez, Satheesh Krishna, et al.. (2019). Can MRI be used to diagnose histologic grade in T1a (< 4 cm) clear cell renal cell carcinomas?. Abdominal Radiology. 44(8). 2841–2851. 9 indexed citations

17.

Abreu‐Gomez, Jorge, et al.. (2019). Update on MR urography (MRU): technique and clinical applications. Abdominal Radiology. 44(12). 3800–3810. 22 indexed citations

18.

Abreu‐Gomez, Jorge, et al.. (2019). Imaging Manifestations of Acute and Chronic Renal Infection That Mimics Malignancy: How to Make the Diagnosis Using Computed Tomography and Magnetic Resonance Imaging. Canadian Association of Radiologists Journal. 70(4). 424–433. 17 indexed citations

19.

Abreu‐Gomez, Jorge, Satheesh Krishna, Sabarish Narayanasamy, et al.. (2019). Dynamic Contrast-Enhanced MRI–Upgraded Prostate Imaging Reporting and Data System Version 2 Category 3 Peripheral Zone Observations Stratified by a Size Threshold of 15 mm. American Journal of Roentgenology. 213(4). 836–843. 3 indexed citations

20.

Abreu‐Gomez, Jorge, Wael Shabana, Matthew D. F. McInnes, et al.. (2019). Regional Standardization of Prostate Multiparametric MRI Performance and Reporting: Is There a Role for a Director of Prostate Imaging?. American Journal of Roentgenology. 213(4). 844–850. 18 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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