Peter A. Pinto

55.0k citations
502 papers · 40.5k · 23 hit papers · h-index 90

Impact in

Papers in

Peter A. Pinto

480 papers receiving 39.8k citations

Peter A. Pinto's Hit Papers

Variability of the Positive Predictive Value of PI-RADS for Prostate MRI across 26 Centers: Experience of the Society of Abdominal Radiology Prostate Cancer Disease-focused Panel 2020 · 300 citations
3000+2+5Years since publication50010001.5k2.0k

Peers

Peter A. Pinto
Comparison fields: 5 of 185
  • Pulmonary and Respiratory Medicine 21.8k
  • Cancer Research 6.4k
  • Radiology, Nuclear Medicine and Imaging 4.6k
  • Oncology 4.7k
  • Rheumatology 2.1k
Replace Markus Graefen with:
Markus Graefen Germany
Lars Egevad Sweden
Hartwig Huland Germany
James Andrew Eastham United States
Rodolfo Montironi Italy
Pheroze Tamboli United States
Patricia Troncoso United States
John C. Cheville United States
Daniel Maurice Berney United Kingdom
Thorsten Schlomm Germany
Peter A. Pinto relative to Markus Graefen Germany Markus Graefen's profile →
Citations per field
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Markus Graefen · 1×
Citations per year

Countries citing papers authored by Peter A. Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Peter A. Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter A. Pinto. 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 Peter A. Pinto. The network helps show where Peter A. Pinto may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter A. Pinto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter A. Pinto Line = papers co-authored together Peter A. Pinto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 502 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Molecular Taxonomy of Primary Prostate Cancer
Hit paper breakdown →
20152435
2
Oncogenic Signaling Pathways in The Cancer Genome Atlas
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20182334
3
MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis
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20182294
4
Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer
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20181720
5
Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation
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20181617
6
Comparison of MR/Ultrasound Fusion–Guided Biopsy With Ultrasound-Guided Biopsy for the Diagnosis of Prostate Cancer
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20151231
7
Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas
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2018810
8
Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images
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2018761
9
Genomic and Functional Approaches to Understanding Cancer Aneuploidy
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2018749
10
MRI-Targeted, Systematic, and Combined Biopsy for Prostate Cancer Diagnosis
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2020624
11
Pathogenic Germline Variants in 10,389 Adult Cancers
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2018606
12
The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma
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2018569
13
A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers
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2018456
14
Driver Fusions and Their Implications in the Development and Treatment of Human Cancers
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2018451
15
The Immune Landscape of Cancer
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2019449
16
Multiparametric 3T Prostate Magnetic Resonance Imaging to Detect Cancer: Histopathological Correlation Using Prostatectomy Specimens Processed in Customized Magnetic Resonance Imaging Based Molds
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2011405
17
Magnetic Resonance Imaging/Ultrasound–Fusion Biopsy Significantly Upgrades Prostate Cancer Versus Systematic 12-core Transrectal Ultrasound Biopsy
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2013399
18
Prostate Cancer: Value of Multiparametric MR Imaging at 3 T for Detection—Histopathologifc Correlation
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2010394
19 2018392
20
Standards of Reporting for MRI-targeted Biopsy Studies (START) of the Prostate: Recommendations from an International Working Group
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2013387

About Peter A. Pinto

Peter A. Pinto is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Rheumatology, Cancer Research and Surgery, having authored 502 papers that have together received 40.5k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (271 papers), Prostate Cancer Treatment and Research (88 papers), Renal cell carcinoma treatment (53 papers), Urologic and reproductive health conditions (35 papers), Radiomics and Machine Learning in Medical Imaging (32 papers), MRI in cancer diagnosis (22 papers), Renal and related cancers (21 papers) and AI in cancer detection (18 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (21.8k citations), Cancer Research (6.4k citations), Radiology, Nuclear Medicine and Imaging (4.6k citations), Oncology (4.7k citations) and Rheumatology (2.1k citations). Peter A. Pinto has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Peter Choyke, Barış Türkbey, María José Beato Merino, Bradford J. Wood, William Marston Linehan, Joanna H. Shih, Soroush Rais‐Bahrami, Arvin Koruthu George, Gennady Bratslavsky and Marcelino Bernardo. Their work appears in journals such as The Journal of Urology, Urology, British Journal of Urology, Radiology and Urologic Oncology Seminars and Original Investigations.

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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