Andre Luis Abreu

5.9k total citations · 1 hit paper
147 papers, 3.5k citations indexed

About

Andre Luis Abreu is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Urology. According to data from OpenAlex, Andre Luis Abreu has authored 147 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Pulmonary and Respiratory Medicine, 41 papers in Surgery and 30 papers in Urology. Recurrent topics in Andre Luis Abreu's work include Prostate Cancer Diagnosis and Treatment (77 papers), Prostate Cancer Treatment and Research (48 papers) and Bladder and Urothelial Cancer Treatments (26 papers). Andre Luis Abreu is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (77 papers), Prostate Cancer Treatment and Research (48 papers) and Bladder and Urothelial Cancer Treatments (26 papers). Andre Luis Abreu collaborates with scholars based in United States, Japan and Italy. Andre Luis Abreu's co-authors include Inderbir S. Gill, Mihir Desai, Osamu Ukimura, Giovanni Cacciamani, Monish Aron, André Berger, Andrew J. Hung, Vinay Duddalwar, Monish Aron and Scott Leslie and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Andre Luis Abreu

136 papers receiving 3.5k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Trends in Incidence of Metastatic Prostate Cancer in the US

2022 133 citations Mihir Desai, Giovanni Cacciamani et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Andre Luis Abreu	2.4k	1.1k	551	549	540	147	3.5k
Daniele Amparore	2.4k 1.0×	1.2k 1.2×	573 1.0×	553 1.0×	305 0.6×	235	3.8k
Enrico Checcucci	1.9k 0.8×	1.2k 1.1×	551 1.0×	258 0.5×	259 0.5×	191	3.4k
Paolo Dell’Oglio	2.7k 1.1×	1.6k 1.5×	826 1.5×	508 0.9×	428 0.8×	231	4.0k
Francesco Porpiglia	3.2k 1.3×	1.8k 1.7×	690 1.3×	804 1.5×	421 0.8×	241	5.0k
Zhamshid Okhunov	2.4k 1.0×	940 0.9×	236 0.4×	631 1.1×	366 0.7×	190	3.4k
Ioannis Varkarakis	1.7k 0.7×	902 0.8×	263 0.5×	605 1.1×	259 0.5×	108	2.6k
Riccardo Bertolo	2.5k 1.1×	1.4k 1.3×	398 0.7×	862 1.6×	181 0.3×	218	3.3k
Ketan K. Badani	3.0k 1.3×	1.7k 1.5×	585 1.1×	982 1.8×	330 0.6×	232	4.4k
Cristian Fiori	4.6k 1.9×	2.3k 2.2×	1.1k 2.1×	1.0k 1.9×	470 0.9×	305	6.8k
Julia R. Fielding	1.2k 0.5×	1.8k 1.6×	1.1k 2.0×	462 0.8×	633 1.2×	90	3.6k

Countries citing papers authored by Andre Luis Abreu

Since Specialization

Citations

This map shows the geographic impact of Andre Luis Abreu'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 Andre Luis Abreu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andre Luis Abreu more than expected).

Fields of papers citing papers by Andre Luis Abreu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andre Luis Abreu. 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 Andre Luis Abreu. The network helps show where Andre Luis Abreu may publish in the future.

Co-authorship network of co-authors of Andre Luis Abreu

This figure shows the co-authorship network connecting the top 25 collaborators of Andre Luis Abreu. A scholar is included among the top collaborators of Andre Luis Abreu 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 Andre Luis Abreu. Andre Luis Abreu 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

Kaneko, Masatomo, Lorenzo Storino Ramacciotti, Samuel J. Peretsman, et al.. (2025). Impact of magnetic resonance imaging visibility of prostate cancer on partial gland ablation. BJUI Compass. 6(8). e70065–e70065.

Ganjavi, Conner, Karanvir Gill, Andre Luis Abreu, et al.. (2025). Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial. JCO Clinical Cancer Informatics. 9(9). e2500042–e2500042. 2 indexed citations

Ramacciotti, Lorenzo Storino, Giovanni Cacciamani, Masatomo Kaneko, et al.. (2024). MP31-10 AN INTERNATIONAL DELPHI CONSENSUS FOR BEST CLINICAL PRACTICES ON TRANSPERINEAL PROSTATE BIOPSY. The Journal of Urology. 211(5S). 1 indexed citations

Ramacciotti, Lorenzo Storino, Francesco Cei, Severin Rodler, et al.. (2024). Generative Artificial Intelligence Platform for Automating Social Media Posts From Urology Journal Articles: A Cross-Sectional Study and Randomized Assessment. The Journal of Urology. 212(6). 873–881. 2 indexed citations

Kaneko, Masatomo, Atsuko Fujihara, Tsuyoshi Iwata, et al.. (2024). A nomogram to predict the absence of clinically significant prostate cancer in males with negative MRI. International braz j urol. 50(3). 319–334. 5 indexed citations

Rodler, Severin, Conner Ganjavi, Pieter De Backer, et al.. (2024). Generative artificial intelligence in surgery. Surgery. 175(6). 1496–1502. 24 indexed citations

Yang, Jiaxin, Yijing Yang, Masatomo Kaneko, et al.. (2024). PCa-RadHop: A transparent and lightweight feed-forward method for clinically significant prostate cancer segmentation. Computerized Medical Imaging and Graphics. 116. 102408–102408. 4 indexed citations

Eppler, Michael, Severin Rodler, Lorenzo Storino Ramacciotti, et al.. (2024). Accuracy, readability, and understandability of large language models for prostate cancer information to the public. Prostate Cancer and Prostatic Diseases. 28(2). 394–399. 37 indexed citations

Liu, Lihua, Ann S. Hamilton, Amie E. Hwang, et al.. (2024). Prostate Cancer Disparities in Clinical Characteristics and Survival among Black and Latino Patients Considering Nativity: Findings from the California Cancer Registry. Cancer Epidemiology Biomarkers & Prevention. 33(11). 1512–1522. 1 indexed citations

10.

Sanchez, Desiree E., Alireza Ghoreifi, Lorenzo Storino Ramacciotti, et al.. (2024). The Safety and Feasibility of Aquablation in Patients with Previous Surgery for Benign Prostatic Hyperplasia. Journal of Endourology. 39(1). 50–55.

11.

Kaneko, Masatomo, Luis G. Medina, Amir H. Lebastchi, et al.. (2023). Transperineal magnetic resonance imaging/transrectal ultrasonography fusion prostate biopsy under local anaesthesia: the ‘ double‐freehand’ technique. British Journal of Urology. 131(6). 770–774. 8 indexed citations

12.

Morozov, Andrey, Mark Taratkin, Juan Gómez Rivas, et al.. (2023). A systematic review and meta-analysis of artificial intelligence diagnostic accuracy in prostate cancer histology identification and grading. Prostate Cancer and Prostatic Diseases. 26(4). 681–692. 17 indexed citations

13.

Hwang, Darryl, Manju Aron, Vinay Duddalwar, et al.. (2023). MP55-18 A NOVEL MACHINE LEARNING FRAMEWORK TO AUTOMATED CHARACTERIZE PROSTATE IMAGING REPORTING AND DATA SYSTEM (PIRADS) ON MRI. The Journal of Urology. 209(Supplement 4). 1 indexed citations

14.

Kaneko, Masatomo, Giovanni Cacciamani, Yijing Yang, et al.. (2023). MP55-20 A NOVEL MACHINE LEARNING FRAMEWORK FOR AUTOMATED DETECTION OF PROSTATE CANCER LESIONS CONFIRMED ON MRI-INFORMED TARGET BIOPSY. The Journal of Urology. 209(Supplement 4). 2 indexed citations

15.

Kaneko, Masatomo, Luis G. Medina, Lorenzo Storino Ramacciotti, et al.. (2023). Transperineal vs transrectal magnetic resonance and ultrasound image fusion prostate biopsy: a pair-matched comparison. Scientific Reports. 13(1). 13457–13457. 9 indexed citations

16.

Ghanouni, Pejman, George R. Schade, Alessandro Napoli, et al.. (2022). Therapeutic US Applications for the Abdomen and Pelvis. Radiographics. 42(6). E182–E183.

17.

Kaneko, Masatomo, Lorenzo Storino Ramacciotti, Luis G. Medina, et al.. (2022). Multiparametric ultrasound of prostate: role in prostate cancer diagnosis. Therapeutic Advances in Urology. 14. 3623492121–3623492121. 16 indexed citations

18.

Varghese, Bino, Frank Chen, Darryl Hwang, et al.. (2019). Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images. Scientific Reports. 9(1). 1570–1570. 63 indexed citations

19.

Chopra, Sameer, Giuseppe Simone, Charles Metcalfe, et al.. (2016). Robot-assisted Level II–III Inferior Vena Cava Tumor Thrombectomy: Step-by-Step Technique and 1-Year Outcomes. European Urology. 72(2). 267–274. 90 indexed citations

20.

Su, Sheng‐Fang, Andre Luis Abreu, Yoshitomo Chihara, et al.. (2014). A Panel of Three Markers Hyper- and Hypomethylated in Urine Sediments Accurately Predicts Bladder Cancer Recurrence. Clinical Cancer Research. 20(7). 1978–1989. 75 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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