World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
98
Citations
39381
World Ranking
8867
National Ranking
4567

Baris Turkbey publication distribution in Medicine in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Baris Turkbey sits on this spectrum.

101–120 publications: 5 scientists 121–140 publications: 26 scientists 141–160 publications: 73 scientists 161–180 publications: 155 scientists 181–200 publications: 230 scientists 201–220 publications: 363 scientists 221–240 publications: 487 scientists 241–260 publications: 545 scientists 261–280 publications: 722 scientists 281–300 publications: 768 scientists 301–320 publications: 834 scientists 321–340 publications: 895 scientists 341–360 publications: 922 scientists 361–380 publications: 838 scientists 381–400 publications: 861 scientists 401–420 publications: 918 scientists 421–440 publications: 806 scientists 441–460 publications: 771 scientists 461–480 publications: 751 scientists 481–500 publications: 713 scientists 501–520 publications: 617 scientists 521–540 publications: 611 scientists 541–560 publications: 537 scientists 561–580 publications: 504 scientists 581–600 publications: 509 scientists 601–620 publications: 396 scientists 621–640 publications: 386 scientists 641–660 publications: 371 scientists 661–680 publications: 340 scientists 681–700 publications: 336 scientists 701–720 publications: 307 scientists 721–740 publications: 259 scientists 741–760 publications: 230 scientists 761–780 publications: 228 scientists 781–800 publications: 217 scientists 801–820 publications: 204 scientists 821–840 publications: 186 scientists 841–860 publications: 177 scientists 861–880 publications: 155 scientists 881–900 publications: 139 scientists 901–920 publications: 145 scientists 921–940 publications: 116 scientists 941–960 publications: 133 scientists 961–980 publications: 91 scientists 981–1,000 publications: 96 scientists 1,001–1,020 publications: 77 scientists 1,021–1,040 publications: 70 scientists 1,041–1,060 publications: 63 scientists 1,061–1,080 publications: 77 scientists 1,081–1,100 publications: 49 scientists 1,101–1,120 publications: 54 scientists 1,121–1,140 publications: 49 scientists 1,141–1,160 publications: 51 scientists 1,161–1,180 publications: 35 scientists 1,181–1,200 publications: 39 scientists 1,201–1,220 publications: 26 scientists 1,221–1,240 publications: 37 scientists 1,241–1,260 publications: 36 scientists 1,261–1,280 publications: 27 scientists 1,281–1,300 publications: 32 scientists 1,301–1,320 publications: 28 scientists 1,321–1,340 publications: 17 scientists 1,341–1,360 publications: 30 scientists 1,361–1,380 publications: 28 scientists 1,381–1,400 publications: 17 scientists 1,401–1,420 publications: 21 scientists 1,421–1,440 publications: 15 scientists 1,441–1,460 publications: 12 scientists 1,461–1,480 publications: 12 scientists 1,481–1,500 publications: 18 scientists 1,501–1,520 publications: 14 scientists 1,521–1,540 publications: 17 scientists 1,541–1,560 publications: 15 scientists 1,561–1,580 publications: 6 scientists 1,581–1,600 publications: 2 scientists 1,601–1,620 publications: 12 scientists 1,621–1,640 publications: 11 scientists 1,641–1,660 publications: 8 scientists 1,661–1,680 publications: 5 scientists 1,681–1,700 publications: 5 scientists 1,701–1,720 publications: 10 scientists 1,721–1,740 publications: 12 scientists 1,741–1,760 publications: 14 scientists 1,761–1,780 publications: 6 scientists 1,781–1,795 publications: 5 scientists 1,796+ publications: 100 scientists
101 publications 1,796+

This scientist: 934 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,796 publications or more.

Baris Turkbey D-index placement in Medicine in 2026

The chart shows the D-index (discipline H-index) distribution of Medicine scientists ranked by Research.com in 2026. The highlighted bar marks where Baris Turkbey sits on this spectrum.

70–71 D-Index: 226 scientists 72–73 D-Index: 391 scientists 74–75 D-Index: 574 scientists 76–77 D-Index: 730 scientists 78–79 D-Index: 891 scientists 80–81 D-Index: 972 scientists 82–83 D-Index: 1,027 scientists 84–85 D-Index: 1,003 scientists 86–87 D-Index: 960 scientists 88–89 D-Index: 970 scientists 90–91 D-Index: 922 scientists 92–93 D-Index: 839 scientists 94–95 D-Index: 808 scientists 96–97 D-Index: 779 scientists 98–99 D-Index: 668 scientists 100–101 D-Index: 611 scientists 102–103 D-Index: 630 scientists 104–105 D-Index: 513 scientists 106–107 D-Index: 541 scientists 108–109 D-Index: 445 scientists 110–111 D-Index: 429 scientists 112–113 D-Index: 400 scientists 114–115 D-Index: 393 scientists 116–117 D-Index: 318 scientists 118–119 D-Index: 302 scientists 120–121 D-Index: 287 scientists 122–123 D-Index: 255 scientists 124–125 D-Index: 256 scientists 126–127 D-Index: 252 scientists 128–129 D-Index: 230 scientists 130–131 D-Index: 179 scientists 132–133 D-Index: 168 scientists 134–135 D-Index: 163 scientists 136–137 D-Index: 159 scientists 138–139 D-Index: 134 scientists 140–141 D-Index: 134 scientists 142–143 D-Index: 118 scientists 144–145 D-Index: 109 scientists 146–147 D-Index: 106 scientists 148–149 D-Index: 74 scientists 150–151 D-Index: 79 scientists 152–153 D-Index: 80 scientists 154–155 D-Index: 87 scientists 156–157 D-Index: 57 scientists 158–159 D-Index: 74 scientists 160–161 D-Index: 69 scientists 162–163 D-Index: 60 scientists 164–165 D-Index: 53 scientists 166–167 D-Index: 39 scientists 168–169 D-Index: 42 scientists 170–171 D-Index: 32 scientists 172–173 D-Index: 39 scientists 174–175 D-Index: 40 scientists 176–177 D-Index: 28 scientists 178–179 D-Index: 19 scientists 180–181 D-Index: 23 scientists 182–183 D-Index: 31 scientists 184–185 D-Index: 18 scientists 186–187 D-Index: 20 scientists 188–189 D-Index: 22 scientists 190–191 D-Index: 13 scientists 192–193 D-Index: 21 scientists 194–195 D-Index: 12 scientists 196–197 D-Index: 12 scientists 198–199 D-Index: 14 scientists 200–201 D-Index: 15 scientists 202–203 D-Index: 13 scientists 204–205 D-Index: 10 scientists 206–207 D-Index: 8 scientists 208–209 D-Index: 4 scientists 210–211 D-Index: 12 scientists 212–213 D-Index: 11 scientists 214–215 D-Index: 10 scientists 216 D-Index: 4 scientists 217+ D-Index: 98 scientists
70 D-Index 217+

This scientist: 98 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 217 D-Index or more.

Overview

Baris Turkbey is affiliated with the National Institutes of Health in the United States. Their research primarily focuses on medical and clinical applications, especially within the field of medicine.

The main fields of study for Baris Turkbey include:

  • Medicine

Within medicine, their subfields of study consist of:

  • Pulmonary and Respiratory Medicine
  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Surgery

The key topics covered in Baris Turkbey's body of work are:

  • Prostate Cancer Diagnosis and Treatment
  • Prostate Cancer Treatment and Research
  • Radiomics and Machine Learning in Medical Imaging
  • MRI in cancer diagnosis
  • Urologic and reproductive health conditions
  • AI in cancer detection
  • COVID-19 diagnosis using AI

Baris Turkbey has contributed to a number of publications in notable venues, frequently publishing in the following journals and platforms:

  • The Journal of Urology
  • Journal of Clinical Oncology
  • arXiv (Cornell University)
  • Academic Radiology
  • Radiology

Among the recent papers associated with Baris Turkbey are:

  • "MRI-Targeted, Systematic, and Combined Biopsy for Prostate Cancer Diagnosis," 2020, New England Journal of Medicine
  • "Federated learning for predicting clinical outcomes in patients with COVID-19," 2021, Nature Medicine
  • "Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets," 2020, Nature Communications
  • "Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation," 2020, IEEE Transactions on Medical Imaging
  • "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, Radiology

Frequent co-authorship in Baris Turkbey's research includes collaboration with:

  • Peter L. Choyke
  • Bradford J. Wood
  • Peter A. Pinto
  • Stephanie A. Harmon
  • Maria J. Merino

Best Publications

  • Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2.

    Baris Turkbey;Andrew B. Rosenkrantz;Masoom A. Haider;Anwar R. Padhani

  • Comparison of MR/Ultrasound Fusion–Guided Biopsy With Ultrasound-Guided Biopsy for the Diagnosis of Prostate Cancer

    M. Minhaj Siddiqui;M. Minhaj Siddiqui;Soroush Rais-Bahrami;Soroush Rais-Bahrami;Baris Turkbey;Arvin K. George

  • MRI-Targeted, Systematic, and Combined Biopsy for Prostate Cancer Diagnosis

    Michael Ahdoot;Andrew R Wilbur;Sarah E Reese;Amir H Lebastchi

  • Federated learning for predicting clinical outcomes in patients with COVID-19.

    Ittai Dayan;Holger R. Roth;Aoxiao Zhong;Ahmed Harouni

  • Multiparametric 3T prostate magnetic resonance imaging to detect cancer: histopathological correlation using prostatectomy specimens processed in customized magnetic resonance imaging based molds

    Baris Turkbey;Haresh Mani;Vijay Shah;Vijay Shah;Ardeshir R. Rastinehad

  • Magnetic Resonance Imaging/Ultrasound Fusion Guided Prostate Biopsy Improves Cancer Detection Following Transrectal Ultrasound Biopsy and Correlates With Multiparametric Magnetic Resonance Imaging

    Peter A. Pinto;Paul H. Chung;Ardeshir R. Rastinehad;Angelo A. Baccala

  • Prostate cancer: value of multiparametric MR imaging at 3 T for detection--histopathologic correlation.

    Baris Turkbey;Peter A. Pinto;Haresh Mani;Marcelino Bernardo

  • Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets.

    Stephanie A. Harmon;Thomas H. Sanford;Sheng Xu;Evrim B. Turkbey

  • Magnetic Resonance Imaging/Ultrasound-Fusion Biopsy Significantly Upgrades Prostate Cancer Versus Systematic 12-core Transrectal Ultrasound Biopsy

    M. Minhaj Siddiqui;Soroush Rais-Bahrami;Hong Truong;Lambros Stamatakis

  • Interobserver Reproducibility of the PI-RADS Version 2 Lexicon: A Multicenter Study of Six Experienced Prostate Radiologists.

    Andrew B. Rosenkrantz;Luke A. Ginocchio;Daniel Cornfeld;Adam T. Froemming

  • Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation

    Ling Zhang;Xiaosong Wang;Dong Yang;Thomas Sanford

  • Standards of Reporting for MRI-targeted Biopsy Studies (START) of the Prostate: Recommendations from an International Working Group.

    Caroline M. Moore;Veeru Kasivisvanathan;Scott Eggener;Mark Emberton

  • Is apparent diffusion coefficient associated with clinical risk scores for prostate cancers that are visible on 3-T MR images?

    Baris Turkbey;Vijay P. Shah;Yuxi Pang;Marcelino Bernardo

  • Prostate Cancer: Interobserver Agreement and Accuracy with the Revised Prostate Imaging Reporting and Data System at Multiparametric MR Imaging.

    Berrend G. Muller;Joanna H. Shih;Sandeep Sankineni;Jamie Marko;Jamie Marko

  • Overview of Dynamic Contrast-Enhanced MRI in Prostate Cancer Diagnosis and Management

    Sadhna Verma;Baris Turkbey;Naira Muradyan;Arumugam Rajesh

  • Real-time MRI-TRUS fusion for guidance of targeted prostate biopsies.

    Sheng Xu;Jochen Kruecker;Baris Turkbey;Neil Glossop

  • Multiparametric Magnetic Resonance Imaging and Ultrasound Fusion Biopsy Detect Prostate Cancer in Patients with Prior Negative Transrectal Ultrasound Biopsies

    Srinivas Vourganti;Ardeshir Rastinehad;Nitin K. Yerram;Jeffrey Nix

  • 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

    Antonio C. Westphalen;Charles E. McCulloch;Jordan M. Anaokar;Sandeep Arora

  • Intravoxel incoherent motion MR imaging for prostate cancer: An evaluation of perfusion fraction and diffusion coefficient derived from different b-value combinations

    Yuxi Pang;Baris Turkbey;Marcelino Bernardo;Jochen Kruecker

  • Review of functional/anatomical imaging in oncology.

    Stephanie N. Histed;Maria L. Lindenberg;Esther Mena;Baris Turkbey

Frequent Co-Authors

Peter L. Choyke
Peter L. Choyke National Institutes of Health
Bradford J. Wood
Bradford J. Wood National Institutes of Health
Peter A. Pinto
Peter A. Pinto National Institutes of Health
Maria J. Merino
Maria J. Merino National Institutes of Health
Pingkun Yan
Pingkun Yan Rensselaer Polytechnic Institute
Ronald M. Summers
Ronald M. Summers National Institutes of Health
W. Marston Linehan
W. Marston Linehan National Institutes of Health
James L. Gulley
James L. Gulley National Institutes of Health
Holger R. Roth
Holger R. Roth Nvidia (United States)
Daguang Xu
Daguang Xu Nvidia (United Kingdom)

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