Barış Türkbey

36.2k total citations · 10 hit papers
615 papers, 22.9k citations indexed

About

Barış Türkbey is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Rheumatology. According to data from OpenAlex, Barış Türkbey has authored 615 papers receiving a total of 22.9k indexed citations (citations by other indexed papers that have themselves been cited), including 447 papers in Pulmonary and Respiratory Medicine, 274 papers in Radiology, Nuclear Medicine and Imaging and 100 papers in Rheumatology. Recurrent topics in Barış Türkbey's work include Prostate Cancer Diagnosis and Treatment (359 papers), Prostate Cancer Treatment and Research (245 papers) and Radiomics and Machine Learning in Medical Imaging (149 papers). Barış Türkbey is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (359 papers), Prostate Cancer Treatment and Research (245 papers) and Radiomics and Machine Learning in Medical Imaging (149 papers). Barış Türkbey collaborates with scholars based in United States, Türkiye and Canada. Barış Türkbey's co-authors include Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Maria J. Merino, Andrew B. Rosenkrantz, Joanna H. Shih, Marcelino Bernardo, Soroush Rais‐Bahrami, Arvin K. George and W. Marston Linehan and has published in prestigious journals such as New England Journal of Medicine, JAMA and Journal of Clinical Oncology.

In The Last Decade

Barış Türkbey

584 papers receiving 22.6k citations

Hit Papers

Prostate Imaging Reporting and Data Sys... 2011 2026 2016 2021 2019 2015 2020 2011 2013 500 1000 1.5k
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.

  1. Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2
    2019 1.5k citations Barış Türkbey, Andrew B. Rosenkrantz et al. profile →
  2. Comparison of MR/Ultrasound Fusion–Guided Biopsy With Ultrasound-Guided Biopsy for the Diagnosis of Prostate Cancer
    2015 1.1k citations Mohummad Minhaj Siddiqui, Barış Türkbey et al. profile →
  3. MRI-Targeted, Systematic, and Combined Biopsy for Prostate Cancer Diagnosis
    2020 530 citations W. Marston Linehan, Maria J. Merino et al. profile →
  4. Multiparametric 3T Prostate Magnetic Resonance Imaging to Detect Cancer: Histopathological Correlation Using Prostatectomy Specimens Processed in Customized Magnetic Resonance Imaging Based Molds
    2011 383 citations Barış Türkbey, Haresh Mani et al. profile →
  5. Magnetic Resonance Imaging/Ultrasound–Fusion Biopsy Significantly Upgrades Prostate Cancer Versus Systematic 12-core Transrectal Ultrasound Biopsy
    2013 381 citations Mohummad Minhaj Siddiqui, Jochen Kruecker et al. profile →
  6. Interobserver Reproducibility of the PI-RADS Version 2 Lexicon: A Multicenter Study of Six Experienced Prostate Radiologists
    2016 378 citations Andrew B. Rosenkrantz, Barış Türkbey et al. Radiology profile →
  7. Magnetic Resonance Imaging/Ultrasound Fusion Guided Prostate Biopsy Improves Cancer Detection Following Transrectal Ultrasound Biopsy and Correlates With Multiparametric Magnetic Resonance Imaging
    2011 351 citations Peter A. Pinto, Jochen Kruecker et al. profile →
  8. Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation
    2020 288 citations Xiaosong Wang, Dong Yang et al. profile →
  9. Prostate Cancer: Interobserver Agreement and Accuracy with the Revised Prostate Imaging Reporting and Data System at Multiparametric MR Imaging
    2015 277 citations Maria J. Merino, Bradford J. Wood et al. Radiology profile →
  10. Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan
    2021 176 citations Dong Yang, Ziyue Xu et al. Medical Image Analysis profile →

Peers

Barış Türkbey
Jelle O. Barentsz Netherlands
Bradford J. Wood United States
Peter A. Pinto United States
Masoom A. Haider Canada
Clare M. Tempany United States
Anwar R. Padhani United Kingdom
Hashim U. Ahmed United Kingdom
Jurgen J. Fütterer Netherlands
Mitchell D. Schnall United States
Michael J. Zeléfsky United States
Jelle O. Barentsz Netherlands
Barış Türkbey
Citations per year, relative to Barış Türkbey Barış Türkbey (= 1×) peers Jelle O. Barentsz

Countries citing papers authored by Barış Türkbey

Since Specialization
Citations

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

Fields of papers citing papers by Barış Türkbey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barış Türkbey. 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 Barış Türkbey. The network helps show where Barış Türkbey may publish in the future.

Co-authorship network of co-authors of Barış Türkbey

This figure shows the co-authorship network connecting the top 25 collaborators of Barış Türkbey. A scholar is included among the top collaborators of Barış Türkbey 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 Barış Türkbey. Barış Türkbey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Haque, Fahmida, et al.. (2025). Generative Artificial Intelligence in Prostate Cancer Imaging. Balkan Medical Journal. 42(4). 286–300.
2.
Türkbey, Barış, Henkjan Huisman, Andriy Fedorov, et al.. (2025). Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naive Men: PI-RADS Steering Committee, Version 1.0. Radiology. 315(1). e240140–e240140. 1 indexed citations
3.
Patkar, Sushant, Stephanie A. Harmon, Christina Mazcko, et al.. (2024). Large-Scale Comparative Analysis of Canine and Human Osteosarcomas Uncovers Conserved Clinically Relevant Tumor Microenvironment Subtypes. Clinical Cancer Research. 30(24). 5630–5642. 6 indexed citations
4.
5.
Patkar, Sushant, et al.. (2024). Identifying digital pathology imaging based biomarkers of checkpoint inhibitor response in non-small cell lung cancer.. Journal of Clinical Oncology. 42(16_suppl). 8530–8530. 1 indexed citations
6.
Purysko, Andrei S., et al.. (2024). Improving Prostate MR Image Quality in Practice—Initial Results From the ACR Prostate MR Image Quality Improvement Collaborative. Journal of the American College of Radiology. 21(9). 1464–1474. 9 indexed citations
7.
Gubbi, Sriram, Sungyoung Auh, Abhishek Jha, et al.. (2023). Early short-term effects on catecholamine levels and pituitary function in patients with pheochromocytoma or paraganglioma treated with [177Lu]Lu-DOTA-TATE therapy. Frontiers in Endocrinology. 14. 1275813–1275813. 6 indexed citations
8.
Belue, Mason J. & Barış Türkbey. (2022). Tasks for artificial intelligence in prostate MRI. European Radiology Experimental. 6(1). 33–33. 27 indexed citations
9.
Yang, Dong, Ziyue Xu, Wenqi Li, et al.. (2021). Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. Medical Image Analysis. 70. 101992–101992. 176 indexed citations breakdown →
10.
Walker, Stephanie M. & Barış Türkbey. (2020). PI-RADSv2.1: Current status. SHILAP Revista de lepidopterología. 47(1). S45–S48. 4 indexed citations
11.
Padhani, Anwar R., Jelle O. Barentsz, Geert Villeirs, et al.. (2019). PI-RADS Steering Committee: The PI-RADS Multiparametric MRI and MRI-directed Biopsy Pathway. Radiology. 292(2). 464–474. 169 indexed citations
12.
Smith, Clayton & Barış Türkbey. (2018). PI-RADS v2: Current standing and future outlook. SHILAP Revista de lepidopterología. 44(3). 189–194. 16 indexed citations
13.
Mena, Esther, Yolanda McKinney, Karen Wong, et al.. (2018). First-in-human phase 0 study of 111In-CHX-A"-DTPA trastuzumab for HER2 tumor imaging. Journal of Translational Science. 5(4). 13 indexed citations
14.
Duffy, Austin G., Chi Ma, Susanna V. Ulahannan, et al.. (2017). Phase I and Preliminary Phase II Study of TRC105 in Combination with Sorafenib in Hepatocellular Carcinoma. Clinical Cancer Research. 23(16). 4633–4641. 68 indexed citations
15.
Schuster, David M., Cristina Nanni, Stefano Fanti, et al.. (2014). Anti-1-Amino-3-F-18-Fluorocyclobutane-1-Carboxylic Acid: Physiologic Uptake Patterns, Incidental Findings, and Variants That May Simulate Disease. Journal of Nuclear Medicine & Radiation Therapy. 55(12). 1986–1992. 20 indexed citations
16.
Kummar, Shivaani, Deborah Allen, Anne Monks, et al.. (2013). Cediranib for Metastatic Alveolar Soft Part Sarcoma. Journal of Clinical Oncology. 31(18). 2296–2302. 156 indexed citations
17.
Mena, Esther, Barış Türkbey, Haresh Mani, et al.. (2012). 11C-Acetate PET/CT in Localized Prostate Cancer: A Study with MRI and Histopathologic Correlation. Journal of Nuclear Medicine. 53(4). 538–545. 88 indexed citations
18.
Kummar, Shivaani, Mark Raffeld, Lamin Juwara, et al.. (2011). Multihistology, Target-Driven Pilot Trial of Oral Topotecan as an Inhibitor of Hypoxia-Inducible Factor-1α in Advanced Solid Tumors. Clinical Cancer Research. 17(15). 5123–5131. 100 indexed citations
19.
Kelly, Ronan J., Arun Rajan, Jeremy Force, et al.. (2011). Evaluation of KRAS Mutations, Angiogenic Biomarkers, and DCE-MRI in Patients with Advanced Non–Small-Cell Lung Cancer Receiving Sorafenib. Clinical Cancer Research. 17(5). 1190–1199. 58 indexed citations
20.
Kruecker, Jochen, Samuel Kadoury, Shunliang Xu, et al.. (2011). Prostate biopsy with image fusion: system validation and clinical results (abstract). Data Archiving and Networked Services (DANS). 1 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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