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Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 38 724 724 21 21 111 5555
Neuroscience 41 7828 7225 657 624 111 7266

Casey Paquola publications per year

The chart shows the history of publications by Casey Paquola between 2015 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Casey Paquola published across 12 years, from 2015 to 2026, averaging 12 papers a year. Output peaked at 34 publications in 2021. 21 of the 144 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2015 to 2026. Vertical axis: number of publications, 0 to 34. Peak 34 publications in 2021. 2015: 1 publication 2016: 1 publication 2017: 3 publications 2018: 4 publications 2019: 12 publications 2020: 27 publications 2021: 34 publications 2022: 17 publications 2023: 8 publications 2024: 16 publications 2025: 20 publications 2026: 1 publication
2015 2026

144 publications in total across all disciplines

View publications per year as a table
Casey Paquola: publications per year, 2015 to 2026
Year Publications
2015 1
2016 1
2017 3
2018 4
2019 12
2020 27
2021 34
2022 17
2023 8
2024 16
2025 20
2026 1
Total 144
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Casey Paquola 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 Casey Paquola 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, 108–117 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: 111 publications — 23rd percentile

23% 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
108–117 505 111
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
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
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Casey Paquola 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 Casey Paquola 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, 40–41 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: 41 D-Index — 19th percentile

19% 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 41
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
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
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Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Casey Paquola is affiliated with Forschungszentrum Jülich in Germany and has contributed extensively to neuroscience and medicine with a research focus primarily on cognitive neuroscience and neuroimaging. Their scholarly output spans various specialized topics within these fields.

The main topics of their research include:

  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Neural dynamics and brain function
  • Advanced MRI Techniques and Applications
  • Memory and Neural Mechanisms
  • Autism Spectrum Disorder Research
  • Epilepsy research and treatment

Paquola's work has been published predominantly in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • NeuroImage
  • eLife
  • Cerebral Cortex

Recent significant publications include:

  • BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets, 2020, Communications Biology
  • Transcriptomic and cellular decoding of regional brain vulnerability to neurogenetic disorders, 2020, Nature Communications
  • The ENIGMA Toolbox: multiscale neural contextualization of multisite neuroimaging datasets, 2021, Nature Methods
  • Dispersion of functional gradients across the adult lifespan, 2020, NeuroImage
  • Genetic influences on hub connectivity of the human connectome, 2021, Nature Communications

Their frequent co-authors include:

  • Boris C. Bernhardt
  • Jessica Royer
  • Sofie L. Valk
  • Sara Larivière
  • Bo-yong Park

Paquola's work covers significant subfields such as cognitive neuroscience, radiology, nuclear medicine and imaging, psychiatry and mental health, molecular biology, and genetics. Their research reflects a multidisciplinary approach connecting neural mechanisms with clinical and imaging sciences.

Best Publications

  • BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets

    Reinder Vos de Wael;Oualid Benkarim;Casey Paquola;Sara Lariviere

  • Microstructural and functional gradients are increasingly dissociated in transmodal cortices

    Casey Paquola;Reinder Vos De Wael;Konrad Wagstyl;Richard A. I. Bethlehem

  • Gradients of structure-function tethering across neocortex.

    Bertha Vázquez-Rodríguez;Laura E. Suárez;Ross D. Markello;Golia Shafiei

  • Atypical functional connectome hierarchy in autism

    Seok Jun Hong;Seok Jun Hong;Reinder Vos de Wael;Richard A.I. Bethlehem;Sara Lariviere

  • Transcriptomic and cellular decoding of regional brain vulnerability to neurogenetic disorders.

    Jakob Seidlitz;Jakob Seidlitz;Ajay Nadig;Siyuan Liu;Richard A. I. Bethlehem

  • The ENIGMA Toolbox: multiscale neural contextualization of multisite neuroimaging datasets

    Sara Larivière;Casey Paquola;Casey Paquola;Bo-yong Park;Bo-yong Park;Jessica Royer

  • Dispersion of functional gradients across the adult lifespan.

    Richard A. I. Bethlehem;Casey Paquola;Jakob Seidlitz;Lisa Ronan

  • Understanding heterogeneity in grey matter research of adults with childhood maltreatment-A meta-analysis and review.

    Casey Paquola;Maxwell R. Bennett;Jim Lagopoulos

  • Genetic influences on hub connectivity of the human connectome.

    Aurina Arnatkeviciute;Ben D. Fulcher;Ben D. Fulcher;Stuart Oldham;Jeggan Tiego

  • Insomnia disorder subtypes derived from life history and traits of affect and personality.

    Tessa F Blanken;Tessa F Blanken;Jeroen S Benjamins;Jeroen S Benjamins;Denny Borsboom;Jeroen K Vermunt

  • Shifts in myeloarchitecture characterise adolescent development of cortical gradients.

    Casey Paquola;Richard Ai Bethlehem;Jakob Seidlitz;Konrad Wagstyl

  • Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex

    Unknown

  • Shaping brain structure: Genetic and phylogenetic axes of macroscale organization of cortical thickness.

    Sofie L. Valk;Sofie L. Valk;Ting Xu;Daniel S. Margulies;Daniel S. Margulies;Shahrzad Kharabian Masouleh

  • Multiscale Structure-Function Gradients in the Neonatal Connectome.

    Sara Larivière;Reinder Vos de Wael;Seok-Jun Hong;Seok-Jun Hong;Casey Paquola

  • BrainStat: A toolbox for brain-wide statistics and multimodal feature associations

    Unknown

  • An Open MRI Dataset For Multiscale Neuroscience

    Unknown

  • Structural network alterations in focal and generalized epilepsy assessed in a worldwide ENIGMA study follow axes of epilepsy risk gene expression

    Unknown

  • Micapipe: A pipeline for multimodal neuroimaging and connectome analysis

    Unknown

  • Differences in subcortico-cortical interactions identified from connectome and microcircuit models in autism.

    Bo-yong Park;Bo-yong Park;Seok-Jun Hong;Sofie L. Valk;Sofie L. Valk;Casey Paquola

  • A multi-scale cortical wiring space links cellular architecture and functional dynamics in the human brain.

    Casey Paquola;Jakob Seidlitz;Oualid Benkarim;Jessica Royer

  • An expanding manifold in transmodal regions characterizes adolescent reconfiguration of structural connectome organization.

    Bo-yong Park;Richard Ai Bethlehem;Casey Paquola;Sara Larivière

  • Signal diffusion along connectome gradients and inter-hub routing differentially contribute to dynamic human brain function.

    Bo-yong Park;Reinder Vos de Wael;Casey Paquola;Sara Larivière

  • Convergence of cortical types and functional motifs in the human mesiotemporal lobe.

    Casey Paquola;Oualid Benkarim;Jordan DeKraker;Sara Larivière

  • Myeloarchitecture gradients in the human insula: Histological underpinnings and association to intrinsic functional connectivity

    Jessica Royer;Casey Paquola;Sara Larivière;Reinder Vos de Wael

  • Structural brain correlates of obstructive sleep apnoea in older adults at risk for dementia

    Nathan E. Cross;Negar Memarian;Shantel L. Duffy;Casey Paquola

Frequent Co-Authors

Boris C. Bernhardt
Boris C. Bernhardt Montreal Neurological Institute and Hospital
Sara Lariviere
Sara Lariviere Brigham and Women's Hospital
Jonathan Smallwood
Jonathan Smallwood Queen's University
Jakob Seidlitz
Jakob Seidlitz University of Pennsylvania
Alan C. Evans
Alan C. Evans McGill University
Bratislav Misic
Bratislav Misic Montreal Neurological Institute and Hospital
Edward T. Bullmore
Edward T. Bullmore King's College London
Daniel S. Margulies
Daniel S. Margulies Centre national de la recherche scientifique, CNRS
Petra E. Vértes
Petra E. Vértes University of Cambridge
Neda Bernasconi
Neda Bernasconi Montreal Neurological Institute and Hospital

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Related Online Degrees & Career Pathways

Exploring Neuroscience can lead to a range of career opportunities within healthcare, education, and research. If you're considering alternative or complementary online degrees, there are several pathways that can support careers in counseling, mental health, and social services.

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If your interests lie more broadly within psychology, consider reviewing the online masters psychology options, which cover various aspects of psychological science and practice. There are also most affordable online psychology degree programs available, making entry into this field more accessible.

Another pathway is social work—a field with significant overlap with neuroscience in areas such as mental health advocacy. For those seeking programs with flexible admissions, explore masters in social work online programs that are easier to get into, for practical routes into clinical and community work.

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