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Peter Kochunov

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 76 1891 1726 906 808 405 30372

Peter Kochunov publications per year

The chart shows the history of publications by Peter Kochunov between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Peter Kochunov published across 27 years, from 1999 to 2025, averaging 19.2 papers a year. Output peaked at 55 publications in 2021. 79 of the 518 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 55. Peak 55 publications in 2021. 1999: 3 publications 2000: 6 publications 2001: 3 publications 2002: 3 publications 2003: 3 publications 2004: 1 publication 2005: 6 publications 2006: 3 publications 2007: 5 publications 2008: 4 publications 2009: 12 publications 2010: 14 publications 2011: 9 publications 2012: 8 publications 2013: 21 publications 2014: 37 publications 2015: 20 publications 2016: 22 publications 2017: 26 publications 2018: 26 publications 2019: 31 publications 2020: 37 publications 2021: 55 publications 2022: 39 publications 2023: 45 publications 2024: 54 publications 2025: 25 publications
1999 2025

518 publications in total across all disciplines

View publications per year as a table
Peter Kochunov: publications per year, 1999 to 2025
Year Publications
1999 3
2000 6
2001 3
2002 3
2003 3
2004 1
2005 6
2006 3
2007 5
2008 4
2009 12
2010 14
2011 9
2012 8
2013 21
2014 37
2015 20
2016 22
2017 26
2018 26
2019 31
2020 37
2021 55
2022 39
2023 45
2024 54
2025 25
Total 518
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Peter Kochunov publication distribution in Neuroscience in 2026

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

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 398–407 publications, is where this scientist sits. 38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 publications 887+

This scientist: 405 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48 405
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
Download as CSV

Peter Kochunov D-index placement in Neuroscience in 2026

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

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 76–77 D-Index, is where this scientist sits. 30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30–31 D-Index 163+

This scientist: 76 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170 76
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
Download as CSV

Overview

Peter Kochunov is affiliated with the University of Maryland, Baltimore in the United States. Their research spans neuroscience and medicine, with significant contributions in cognitive neuroscience and radiology, nuclear medicine, and imaging. They have also worked in psychiatry and mental health, experimental and cognitive psychology, and genetics.

Their main research topics include functional brain connectivity studies, advanced neuroimaging techniques and applications, neural dynamics and brain function, advanced MRI techniques and applications, schizophrenia research and treatment, mental health research topics, and genetic associations and epidemiology.

Peter Kochunov has contributed extensively to the scientific literature, publishing in several prominent venues. The most frequent publication outlets for their work include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Human Brain Mapping
  • Biological Psychiatry
  • Schizophrenia Bulletin
  • NeuroImage

Key recent papers by Peter Kochunov include:

  • "NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders," 2020, NeuroImage Clinical
  • "Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA," 2020, NeuroImage
  • "White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study," 2020, Brain
  • "Shaping brain structure: Genetic and phylogenetic axes of macroscale organization of cortical thickness," 2020, Science Advances
  • "Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex," 2022, Nature Communications

The scientist collaborates regularly with several frequent coauthors, including:

  • L. Elliot Hong
  • Shuo Chen
  • Paul M. Thompson
  • Vince D. Calhoun
  • Neda Jahanshad

Best Publications

  • Automated Talairach Atlas labels for functional brain mapping

    Jack L. Lancaster;Marty G. Woldorff;Lawrence M. Parsons;Mario Liotti

  • Cortical Thickness or Grey Matter Volume? The Importance of Selecting the Phenotype for Imaging Genetics Studies

    Anderson M. Winkler;Peter V. Kochunov;John Blangero;Laura Almasy

  • Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium

    Unknown

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

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

  • Common genetic variants influence human subcortical brain structures.

    Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez

  • The genetic architecture of the human cerebral cortex

    Katrina L. Grasby;Neda Jahanshad;Jodie N. Painter;Lucía Colodro-Conde

  • The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

    Paul M. Thompson;Jason L. Stein;Sarah E. Medland;Derrek P. Hibar

  • Identification of common variants associated with human hippocampal and intracranial volumes

    Jason L Stein;Sarah E Medland;Sarah E Medland;Alejandro Arias Vasquez;Alejandro Arias Vasquez;Derrek P Hibar

  • Widespread white matter microstructural differences in schizophrenia across 4322 individuals : results from the ENIGMA Schizophrenia DTI Working Group

    S. Kelly;S. Kelly;N. Jahanshad;A. Zalesky;P. Kochunov

  • ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries

    Paul M Thompson;Neda Jahanshad;Christopher R K Ching;Lauren E Salminen

  • Genetic control over the resting brain.

    D. C. Glahn;D. C. Glahn;A. M. Winkler;A. M. Winkler;P. Kochunov;Laura Almasy

  • Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study.

    Christopher D Whelan;Christopher D Whelan;Andre Altmann;Juan A Botía;Neda Jahanshad

  • ENIGMA and Global Neuroscience: A Decade of Large-Scale Studies of the Brain in Health and Disease Across More Than 40 Countries

    Paul Thompson

  • Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group

    Neda Jahanshad;Peter V. Kochunov;Emma Sprooten;Emma Sprooten;René C. Mandl

  • 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

  • NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders

    Yuhui Du;Yuhui Du;Zening Fu;Jing Sui;Jing Sui;Shuang Gao;Shuang Gao

  • Fractional anisotropy of water diffusion in cerebral white matter across the lifespan

    P. Kochunov;P. Kochunov;Douglas E. Williamson;Jack L Lancaster;Peter T Fox

  • White matter disturbances in major depressive disorder: a coordinated analysis across 20 international cohorts in the ENIGMA MDD working group

    Laura S. van Velzen;Sinead Kelly;Sinead Kelly;Dmitry Isaev;Andre Aleman

  • Novel genetic loci associated with hippocampal volume

    Derrek Hibar;Hieab H.H. Adams;Neda Jahanshad;Ganesh Chauhan

  • Relationship between white matter fractional anisotropy and other indices of cerebral health in normal aging: Tract-based spatial statistics study of aging

    Peter V. Kochunov;Paul M. Thompson;Jack L. Lancaster;George Bartzokis;George Bartzokis

  • Column-Based Model of Electric Field Excitation of Cerebral Cortex

    Peter T. Fox;Shalini Narayana;Nitin Tandon;Hugo Sandoval

Frequent Co-Authors

Peter T. Fox
Peter T. Fox The University of Texas Health Science Center at San Antonio
David C. Glahn
David C. Glahn Boston Children's Hospital
Paul M. Thompson
Paul M. Thompson University of Southern California
L. Elliot Hong
L. Elliot Hong University of Maryland, Baltimore
John Blangero
John Blangero The University of Texas Rio Grande Valley
Jack L. Lancaster
Jack L. Lancaster The University of Texas Health Science Center at San Antonio
Neda Jahanshad
Neda Jahanshad University of Southern California
Anderson M. Winkler
Anderson M. Winkler National Institutes of Health
Emma Sprooten
Emma Sprooten Radboud University
Thomas E. Nichols
Thomas E. Nichols University of Oxford

External Links

Personal website of Peter Kochunov

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Best Scientists Citing Peter Kochunov

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 365

Neda Jahanshad

Neda Jahanshad

University of Southern California

Publications: 180

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 174

David C. Glahn

David C. Glahn

Boston Children's Hospital

Publications: 164

Peter T. Fox

Peter T. Fox

The University of Texas Health Science Center at San Antonio

Publications: 160

Ole A. Andreassen

Ole A. Andreassen

Oslo University Hospital

Publications: 146

Lars T. Westlye

Lars T. Westlye

University of Oslo

Publications: 136

Simon B. Eickhoff

Simon B. Eickhoff

Heinrich Heine University Düsseldorf

Publications: 125

Margaret J. Wright

Margaret J. Wright

University of Queensland

Publications: 123

Arthur W. Toga

Arthur W. Toga

University of Southern California

Publications: 113

Angela R. Laird

Angela R. Laird

Florida International University

Publications: 105

Martin P. Paulus

Martin P. Paulus

Laureate Institute for Brain Research

Publications: 98

Simon E. Fisher

Simon E. Fisher

Max Planck Society

Publications: 95

Anders M. Dale

Anders M. Dale

J. Craig Venter Institute

Publications: 94

Jessica A. Turner

Jessica A. Turner

The Ohio State University

Publications: 93

Nicholas G. Martin

Nicholas G. Martin

QIMR Berghofer Medical Research Institute

Publications: 87

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