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R. Nathan Spreng

R. Nathan Spreng

McGill University
Canada

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Psychology 60 3465 3197 219 201 151 26147
Neuroscience 64 3200 2921 185 166 175 27546

R. Nathan Spreng publications per year

The chart shows the history of publications by R. Nathan Spreng between 2006 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. R. Nathan Spreng published across 20 years, from 2006 to 2025, averaging 11.5 papers a year. Output peaked at 33 publications in 2024. 52 of the 230 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2006 to 2025. Vertical axis: number of publications, 0 to 33. Peak 33 publications in 2024. 2006: 1 publication 2007: 0 publications 2008: 0 publications 2009: 2 publications 2010: 4 publications 2011: 3 publications 2012: 6 publications 2013: 6 publications 2014: 10 publications 2015: 5 publications 2016: 11 publications 2017: 14 publications 2018: 12 publications 2019: 23 publications 2020: 8 publications 2021: 24 publications 2022: 19 publications 2023: 30 publications 2024: 33 publications 2025: 19 publications
2006 2025

230 publications in total across all disciplines

View publications per year as a table
R. Nathan Spreng: publications per year, 2006 to 2025
Year Publications
2006 1
2007 0
2008 0
2009 2
2010 4
2011 3
2012 6
2013 6
2014 10
2015 5
2016 11
2017 14
2018 12
2019 23
2020 8
2021 24
2022 19
2023 30
2024 33
2025 19
Total 230
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R. Nathan Spreng 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 R. Nathan Spreng 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, 168–177 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: 175 publications — 53rd percentile

53% 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
168–177 383 175
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
Download as CSV

R. Nathan Spreng 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 R. Nathan Spreng 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, 64–65 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: 64 D-Index — 67th percentile

67% 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 64
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
Download as CSV

Overview

R. Nathan Spreng is affiliated with McGill University in Canada and has contributed extensively to the fields of neuroscience and medicine. Their research primarily focuses on cognitive neuroscience, encompassing 127 publications, as well as radiology, nuclear medicine, and imaging with 50 publications. Additional work spans psychiatry and mental health, experimental and cognitive psychology, and physiology.

Their main research topics include functional brain connectivity studies, advanced neuroimaging techniques and applications, neural dynamics and brain function, memory and neural mechanisms, as well as dementia and cognitive impairment research. Their investigations also cover Alzheimer's disease research and treatments and advanced MRI techniques.

Spreng has published in several scientific venues, notably:

  • bioRxiv (Cold Spring Harbor Laboratory) with 24 publications
  • Alzheimer's & Dementia with 15 publications
  • NeuroImage with 6 publications
  • Proceedings of the National Academy of Sciences with 5 publications
  • The Journals of Gerontology Series B with 5 publications

Selected recent papers by Spreng include:

  • "Mapping neurotransmitter systems to the structural and functional organization of the human neocortex," 2022, Nature Neuroscience
  • "The default network of the human brain is associated with perceived social isolation," 2020, Nature Communications
  • "Basal forebrain volume reliably predicts the cortical spread of Alzheimer's degeneration," 2020, Brain
  • "Social exclusion reliably engages the default network: A meta-analysis of Cyberball," 2020, NeuroImage
  • "Controversies and progress on standardization of large-scale brain network nomenclature," 2023, Network Neuroscience

Frequent co-authors with whom Spreng has collaborated include:

  • Gary R. Turner
  • Sylvia Villeneuve
  • Roni Setton
  • Giulia Baracchini
  • Danilo Bzdok

Best Publications

  • The common neural basis of autobiographical memory, prospection, navigation, theory of mind, and the default mode: A quantitative meta-analysis

    R. Nathan Spreng;Raymond A. Mar;Alice S. N. Kim

  • The default network and self-generated thought: component processes, dynamic control, and clinical relevance

    Jessica R. Andrews-Hanna;Jonathan Smallwood;R. Nathan Spreng

  • The Future of Memory: Remembering, Imagining, and the Brain

    Daniel L. Schacter;Donna Rose Addis;Demis Hassabis;Victoria C. Martin

  • Mind-wandering as spontaneous thought: a dynamic framework

    Kalina Christoff;Zachary C. Irving;Kieran C. R. Fox;R. Nathan Spreng

  • The Toronto Empathy Questionnaire: Scale development and initial validation of a factor-analytic solution to multiple empathy measures

    R. Nathan Spreng;Margaret C. McKinnon;Raymond A. Mar;Brian Levine

  • Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition.

    R. Nathan Spreng;W. Dale Stevens;Jon P. Chamberlain;Adrian W. Gilmore

  • Patterns of brain activity supporting autobiographical memory, prospection, and theory of mind, and their relationship to the default mode network

    R. Nathan Spreng;Cheryl L. Grady

  • Mapping neurotransmitter systems to the structural and functional organization of the human neocortex

    Unknown

  • Intrinsic architecture underlying the relations among the default, dorsal attention, and frontoparietal control networks of the human brain

    R. Nathan Spreng;Jorge Sepulcre;Gary R. Turner;W. Dale Stevens

  • The wandering brain: meta-analysis of functional neuroimaging studies of mind-wandering and related spontaneous thought processes.

    Kieran C. R. Fox;R. Nathan Spreng;Melissa Ellamil;Jessica R. Andrews-Hanna

  • Towards a Universal Taxonomy of Macro-scale Functional Human Brain Networks.

    Lucina Q. Uddin;B. T. Thomas Yeo;R. Nathan Spreng

  • Neurocircuitry models of posttraumatic stress disorder and beyond: a meta-analysis of functional neuroimaging studies.

    Ronak Patel;R. Nathan Spreng;Lisa M. Shin;Todd A. Girard

  • A taxonomy of prospection: Introducing an organizational framework for future-oriented cognition

    Karl K. Szpunar;R. Nathan Spreng;Daniel L. Schacter

  • Heterogeneity within the frontoparietal control network and its relationship to the default and dorsal attention networks.

    Matthew L. Dixon;Alejandro De La Vega;Caitlin Mills;Jessica Andrews-Hanna

  • Gradients of structure-function tethering across neocortex.

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

  • Reliable differences in brain activity between young and old adults: a quantitative meta-analysis across multiple cognitive domains.

    R. Nathan Spreng;Magdalena Wojtowicz;Cheryl L. Grady

  • The Fallacy of a “Task-Negative” Network

    R. Nathan Spreng

  • Executive functions and neurocognitive aging: dissociable patterns of brain activity.

    Gary R. Turner;Gary R. Turner;R. Nathan Spreng

  • Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer's pathology.

    Taylor W. Schmitz;R. Nathan Spreng;Michael W. Weiner;Paul Aisen

  • Imagine All the People: How the Brain Creates and Uses Personality Models to Predict Behavior

    Demis Hassabis;R. Nathan Spreng;Andrei A. Rusu;Clifford A. Robbins

  • The temporal distribution of past and future autobiographical events across the lifespan.

    R. Nathan Spreng;Brian Levine

Frequent Co-Authors

Daniel L. Schacter
Daniel L. Schacter Harvard University
B.T. Thomas Yeo
B.T. Thomas Yeo National University of Singapore
Jessica R. Andrews-Hanna
Jessica R. Andrews-Hanna University of Arizona
Kalina Christoff
Kalina Christoff University of British Columbia
Avram J. Holmes
Avram J. Holmes Yale University
Danilo Bzdok
Danilo Bzdok Montreal Neurological Institute and Hospital
Tian Ge
Tian Ge Massachusetts General Hospital
Martin Kronbichler
Martin Kronbichler University of Salzburg
Raymond A. Mar
Raymond A. Mar York University
Brian Levine
Brian Levine University of Toronto

External Links

Personal website of R. Nathan Spreng

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Best Scientists Citing R. Nathan Spreng

Jonathan Smallwood

Jonathan Smallwood

Queen's University

Publications: 108

Daniel L. Schacter

Daniel L. Schacter

Harvard University

Publications: 98

Simon B. Eickhoff

Simon B. Eickhoff

Heinrich Heine University Düsseldorf

Publications: 80

Jiang Qiu

Jiang Qiu

Southwest University

Publications: 75

Margaret C. McKinnon

Margaret C. McKinnon

McMaster University

Publications: 72

Muireann Irish

Muireann Irish

University of Sydney

Publications: 62

Daniel S. Margulies

Daniel S. Margulies

Centre national de la recherche scientifique, CNRS

Publications: 61

Elizabeth Jefferies

Elizabeth Jefferies

University of York

Publications: 56

Boris C. Bernhardt

Boris C. Bernhardt

Montreal Neurological Institute and Hospital

Publications: 53

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 49

Cheryl L. Grady

Cheryl L. Grady

University of Toronto

Publications: 49

Ruth A. Lanius

Ruth A. Lanius

University of Western Ontario

Publications: 49

Qiyong Gong

Qiyong Gong

Sichuan University

Publications: 48

Eleanor A. Maguire

Eleanor A. Maguire

University College London

Publications: 48

Donna Rose Addis

Donna Rose Addis

University of Toronto

Publications: 48

Danilo Bzdok

Danilo Bzdok

Montreal Neurological Institute and Hospital

Publications: 46

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