World's Best Scientists 2026 revealed!
Peter E. Turkeltaub

Peter E. Turkeltaub

D-Index & Metrics

Psychology

D-Index
46
Citations
14488
World Ranking
6301
National Ranking
3411

Neuroscience

D-Index
46
Citations
14619
World Ranking
6573
National Ranking
2849

Peter E. Turkeltaub publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where Peter E. Turkeltaub sits on this spectrum.

31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 343 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 33 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–704 publications: 4 scientists 705+ publications: 100 scientists
31 publications 705+

This scientist: 119 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 705 publications or more.

Peter E. Turkeltaub D-index placement in Psychology in 2026

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

30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 558 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 86 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 78 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30 D-Index 144+

This scientist: 46 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 144 D-Index or more.

Overview

Peter E. Turkeltaub is affiliated with Georgetown University in the United States. Their research primarily spans the fields of neuroscience and psychology, with a significant focus on cognitive neuroscience and developmental and educational psychology. Their work also touches on radiology, nuclear medicine and imaging, neurology, and experimental and cognitive psychology.

Turkeltaub's main research topics include neurobiology of language and bilingualism, reading and literacy development, functional brain connectivity studies, EEG and brain-computer interfaces, advanced neuroimaging techniques and applications, language development and disorders, and neural and behavioral psychology studies.

Frequent co-authors in Turkeltaub's publications include Andrew T. DeMarco, Sarah F. Snider, J. Vivian Dickens, Elizabeth H. Lacey, and K. Martin. These collaborations indicate a network of researchers working together on overlapping interests in language, development, and brain function.

Key recent papers by Peter E. Turkeltaub include:

  • The neural basis of language development: Changes in lateralization over age (2020), published in Proceedings of the National Academy of Sciences
  • Language and developmental plasticity after perinatal stroke (2022), published in Proceedings of the National Academy of Sciences
  • Rethinking Remapping: Circuit Mechanisms of Recovery after Stroke (2023), published in Journal of Neuroscience
  • A Weak Shadow of Early Life Language Processing Persists in the Right Hemisphere of the Mature Brain (2022), published in Neurobiology of Language
  • Plasticity of the language system in children and adults (2022), published in Handbook of clinical neurology

Turkeltaub's work appears frequently in certain publication venues, including bioRxiv (Cold Spring Harbor Laboratory), Aphasiology, Neurobiology of Language, Neuropsychologia, and Journal of Clinical and Translational Science. These platforms align with their research focus on language, brain function, and neurological conditions.

Best Publications

  • Meta-analysis of the functional neuroanatomy of single-word reading: method and validation.

    Peter E. Turkeltaub;Guinevere F. Eden;Karen M. Jones;Thomas A. Zeffiro

  • Safety of Transcranial Direct Current Stimulation: Evidence Based Update 2016.

    Marom Bikson;Pnina Grossman;Chris Thomas;Adantchede Louis Zannou

  • Minimizing Within-Experiment and Within-Group Effects in Activation Likelihood Estimation Meta-Analyses

    Peter E. Turkeltaub;Simon B. Eickhoff;Simon B. Eickhoff;Angela R. Laird;Mick Fox

  • ALE meta-analysis: Controlling the false discovery rate and performing statistical contrasts

    Angela R. Laird;P. Mickle Fox;Cathy J. Price;David C. Glahn

  • Development of neural mechanisms for reading

    Peter E Turkeltaub;Lynn Gareau;D Lynn Flowers;D Lynn Flowers;Thomas A Zeffiro

  • Ten simple rules for neuroimaging meta-analysis.

    Veronika I. Müller;Edna C. Cieslik;Angela R. Laird;Peter T. Fox

  • The image of time: a voxel-wise meta-analysis.

    Martin Wiener;Peter Turkeltaub;H.B. Coslett

  • A Meta-analysis of Functional Neuroimaging Studies of Dyslexia

    José M. Maisog;Erin R. Einbinder;D. Lynn Flowers;D. Lynn Flowers;Peter E. Turkeltaub

  • A comparison of label-based review and ALE meta-analysis in the Stroop task.

    Angela R. Laird;Kathryn M. McMillan;Jack L. Lancaster;Peter Kochunov

  • Are networks for residual language function and recovery consistent across aphasic patients

    Peter E. Turkeltaub;Samuel Messing;Catherine Norise;Roy H. Hamilton

  • Localization of sublexical speech perception components.

    Peter E Turkeltaub;H. Branch Coslett

  • Differences in the experience of active and sham transcranial direct current stimulation.

    Sudha Kilaru Kessler;Peter E. Turkeltaub;Jennifer G. Benson;Roy H. Hamilton

  • The somatotopy of speech: Phonation and articulation in the human motor cortex

    Steven Brown;Angela R. Laird;Peter Q. Pfordresher;Sarah M. Thelen

  • Examining the central and peripheral processes of written word production through meta-analysis.

    Jeremy J. Purcell;Peter E. Turkeltaub;Guinevere F. Eden;Brenda Rapp

  • The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data

    Angela R Laird;Simon B Eickhoff;Simon B Eickhoff;P Mickle Fox;Angela M Uecker

  • The neural basis of language development: Changes in lateralization over age.

    Olumide A Olulade;Anna Seydell-Greenwald;Catherine E Chambers;Peter E Turkeltaub

  • The right hemisphere is not unitary in its role in aphasia recovery

    Peter E. Turkeltaub;H. Branch Coslett;Amy L. Thomas;Olufunsho Faseyitan

  • A multivariate lesion symptom mapping toolbox and examination of lesion-volume biases and correction methods in lesion-symptom mapping.

    Andrew T. DeMarco;Peter E. Turkeltaub

  • Automated segmentation of chronic stroke lesions using LINDA: Lesion identification with neighborhood data analysis.

    Dorian Pustina;H. Branch Coslett;Peter E. Turkeltaub;Peter E. Turkeltaub;Nicholas Tustison

  • Categorical Speech Processing in Broca's Area: An fMRI Study Using Multivariate Pattern-Based Analysis

    Yune-Sang Lee;Peter Turkeltaub;Richard Granger;Rajeev D. S. Raizada

  • Cerebellar tDCS Modulates Neural Circuits during Semantic Prediction: A Combined tDCS-fMRI Study.

    Anila M. D'Mello;Peter E. Turkeltaub;Catherine J. Stoodley

Frequent Co-Authors

Roy H. Hamilton
Roy H. Hamilton University of Pennsylvania
H. Branch Coslett
H. Branch Coslett University of Pennsylvania
Guinevere F. Eden
Guinevere F. Eden Georgetown University Medical Center
Angela R. Laird
Angela R. Laird Florida International University
Simon B. Eickhoff
Simon B. Eickhoff Heinrich Heine University Düsseldorf
Josef P. Rauschecker
Josef P. Rauschecker Georgetown University Medical Center
Peter T. Fox
Peter T. Fox The University of Texas Health Science Center at San Antonio
Evan M. Gordon
Evan M. Gordon Washington University in St. Louis
Jack L. Lancaster
Jack L. Lancaster The University of Texas Health Science Center at San Antonio
Michael T. Ullman
Michael T. Ullman Georgetown University

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