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Taylor W. Schmitz

Taylor W. Schmitz publications per year

The chart shows the history of publications by Taylor W. Schmitz between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Taylor W. Schmitz published across 22 years, from 2004 to 2025, averaging 3.9 papers a year. Output peaked at 16 publications in 2006. 24 of the 85 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 16. Peak 16 publications in 2006. 2004: 3 publications 2005: 1 publication 2006: 16 publications 2007: 2 publications 2008: 3 publications 2009: 3 publications 2010: 1 publication 2011: 1 publication 2012: 1 publication 2013: 1 publication 2014: 2 publications 2015: 0 publications 2016: 1 publication 2017: 1 publication 2018: 4 publications 2019: 2 publications 2020: 3 publications 2021: 3 publications 2022: 5 publications 2023: 8 publications 2024: 10 publications 2025: 14 publications
2004 2025

85 publications in total across all disciplines

View publications per year as a table
Taylor W. Schmitz: publications per year, 2004 to 2025
Year Publications
2004 3
2005 1
2006 16
2007 2
2008 3
2009 3
2010 1
2011 1
2012 1
2013 1
2014 2
2015 0
2016 1
2017 1
2018 4
2019 2
2020 3
2021 3
2022 5
2023 8
2024 10
2025 14
Total 85
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Taylor W. Schmitz 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 Taylor W. Schmitz 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. 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+

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
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
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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Taylor W. Schmitz 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 Taylor W. Schmitz 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. 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+

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
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
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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Overview

Taylor W. Schmitz is affiliated with the University of Western Ontario in Canada. Their research primarily focuses on neuroscience and medicine, with a significant concentration in cognitive neuroscience, cellular and molecular neuroscience, neurology, physiology, and molecular biology.

Their work covers multiple topics, including:

  • Functional Brain Connectivity Studies
  • Alzheimer's disease research and treatments
  • Neural dynamics and brain function
  • Memory and Neural Mechanisms
  • Neuroscience and Neuropharmacology Research
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Advanced Neuroimaging Techniques and Applications

Frequent coauthors in Taylor W. Schmitz's research include R. Nathan Spreng, Kate M. Onuska, Ali R. Khan, Marco A. M. Prado, and Hayley R. C. Shanks.

Common venues for their publications are bioRxiv (Cold Spring Harbor Laboratory), Alzheimer's & Dementia, Nature Communications, Zenodo (CERN European Organization for Nuclear Research), and Brain.

Notable recent papers authored or coauthored by Taylor W. Schmitz are:

  • Mapping neurotransmitter systems to the structural and functional organization of the human neocortex, 2022, Nature Neuroscience
  • Basal forebrain volume reliably predicts the cortical spread of Alzheimer's degeneration, 2020, Brain
  • Mapping neurotransmitter systems to the structural and functional organization of the human neocortex, 2021, bioRxiv (Cold Spring Harbor Laboratory)
  • Dynamic targeting enables domain-general inhibitory control over action and thought by the prefrontal cortex, 2022, Nature Communications
  • Longitudinal Basal Forebrain Degeneration Interacts with TREM2/C3 Biomarkers of Inflammation in Presymptomatic Alzheimer's Disease, 2020, Journal of Neuroscience

Best Publications

  • Metacognitive evaluation, self-relevance, and the right prefrontal cortex.

    Taylor W Schmitz;Tisha N Kawahara-Baccus;Tisha N Kawahara-Baccus;Sterling C Johnson;Sterling C Johnson

  • Opposing Influences of Affective State Valence on Visual Cortical Encoding

    Taylor W. Schmitz;Eve De Rosa;Adam K. Anderson

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

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

  • Relevance to self: A brief review and framework of neural systems underlying appraisal.

    Taylor W. Schmitz;Sterling C. Johnson

  • Activation of brain regions vulnerable to Alzheimer's disease: The effect of mild cognitive impairment

    S.C. Johnson;T.W. Schmitz;C.H. Moritz;M.E. Meyerand

  • Unique semantic space in the brain of each beholder predicts perceived similarity.

    Ian Charest;Rogier A. Kievit;Taylor W. Schmitz;Diana Deca

  • Reduced hippocampal activation during episodic encoding in middle-aged individuals at genetic risk of Alzheimer's disease: a cross-sectional study.

    Mehul A Trivedi;Mehul A Trivedi;Taylor W Schmitz;Taylor W Schmitz;Michele L Ries;Michele L Ries;Britta M Torgerson;Britta M Torgerson

  • Hippocampal GABA enables inhibitory control over unwanted thoughts

    Taylor W Schmitz;Taylor W Schmitz;Marta Morgado Correia;Marta Morgado Correia;Catarina S Ferreira;Andrew P Prescot

  • The Influence of Alzheimer Disease Family History and Apolipoprotein E ε4 on Mesial Temporal Lobe Activation

    Sterling C Johnson;Taylor W Schmitz;Mehul A Trivedi;Michele L Ries

  • Psychophysical and Neural Evidence for Emotion-Enhanced Perceptual Vividness

    Rebecca M. Todd;Deborah Talmi;Taylor W. Schmitz;Josh Susskind

  • Neural correlates of self-evaluative accuracy after traumatic brain injury.

    Taylor W. Schmitz;Howard A. Rowley;Tisha N. Kawahara;Tisha N. Kawahara;Sterling C. Johnson;Sterling C. Johnson

  • Self-appraisal decisions evoke dissociated dorsal-ventral aMPFC networks.

    Taylor W. Schmitz;Sterling C. Johnson

  • Anosognosia in mild cognitive impairment: Relationship to activation of cortical midline structures involved in self-appraisal.

    Michele L. Ries;Britta M. Jabbar;Taylor W. Schmitz;Mehul A. Trivedi

  • The Cerebral Response during Subjective Choice with and without Self-reference

    Sterling C. Johnson;Taylor W. Schmitz;Tisha N. Kawahara-baccus;Howard A. Rowley

  • Task-dependent posterior cingulate activation in mild cognitive impairment.

    Michele L. Ries;Taylor W. Schmitz;Taylor W. Schmitz;Tisha N. Kawahara;Tisha N. Kawahara;Britta M. Torgerson;Britta M. Torgerson

  • Failing to Ignore: Paradoxical Neural Effects of Perceptual Load on Early Attentional Selection in Normal Aging

    Taylor W. Schmitz;Frederick H. T. Cheng;Eve De Rosa

  • A supramodal role of the basal ganglia in memory and motor inhibition: Meta-analytic evidence

    Yuhua Guo;Yuhua Guo;Taylor W. Schmitz;Taylor W. Schmitz;Marieke Mur;Catarina S. Ferreira

  • Normalization and the Cholinergic Microcircuit: A Unified Basis for Attention

    Taylor W. Schmitz;John Duncan;John Duncan

  • Basal forebrain volume reliably predicts the cortical spread of Alzheimer’s degeneration

    Sara Fernández-Cabello;Martin Kronbichler;Martin Kronbichler;Koene R.A. van Dijk;James A. Goodman

  • FMRI activation during episodic encoding and metacognitive appraisal across the lifespan : Risk factors for Alzheimer's disease

    Mehul A. Trivedi;Taylor W. Schmitz;Michele L. Ries;Timothy M. Hess

Frequent Co-Authors

Sanjay Asthana
Sanjay Asthana University of Wisconsin–Madison
R. Nathan Spreng
R. Nathan Spreng McGill University
Mark A. Sager
Mark A. Sager University of Wisconsin–Madison
Martin Kronbichler
Martin Kronbichler University of Salzburg
Adam K. Anderson
Adam K. Anderson Cornell University
Michael C. Anderson
Michael C. Anderson University of Cambridge
Bruce P. Hermann
Bruce P. Hermann University of Wisconsin–Madison
Andrew L. Alexander
Andrew L. Alexander University of Wisconsin–Madison
Rebecca L. Koscik
Rebecca L. Koscik University of Wisconsin–Madison
Rebecca M. Todd
Rebecca M. Todd University of British Columbia

External Links

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Related Online Degrees & Career Pathways

Exploring a career in neuroscience opens doors to a range of online degree options. Many students prefer accelerated bachelor degree programs, which allow them to finish their education sooner and enter the workforce quickly. This is particularly valuable for those eager to start or advance their careers while continuing their studies.

When choosing a major, it’s also important to consider future earning potential. Some of the highest earning degrees and majors that make the most money are in STEM fields, and neuroscience often overlaps with these lucrative areas.

Affordability is another major concern for students. Fortunately, there are online colleges that accept financial aid, which can help reduce the cost of your education.

Whether seeking an accelerated pathway or maximizing your long-term earning potential, careful research can help you find the online degree program and career path that’s right for you.

Best Scientists Citing Taylor W. Schmitz

Reisa A. Sperling

Reisa A. Sperling

Brigham and Women's Hospital

Publications: 34

Sanjay Asthana

Sanjay Asthana

University of Wisconsin–Madison

Publications: 28

Mark A. Sager

Mark A. Sager

University of Wisconsin–Madison

Publications: 26

Adam K. Anderson

Adam K. Anderson

Cornell University

Publications: 22

Georg Northoff

Georg Northoff

University of Ottawa

Publications: 21

Michel J. Grothe

Michel J. Grothe

Institute of Biomedicine of Seville

Publications: 20

Rebecca M. Todd

Rebecca M. Todd

University of British Columbia

Publications: 19

Eric Salmon

Eric Salmon

University of Liège

Publications: 18

Mark W. Bondi

Mark W. Bondi

University of California, San Diego

Publications: 17

Arnaud D'Argembeau

Arnaud D'Argembeau

University of Liège

Publications: 16

Kristy A. Nielson

Kristy A. Nielson

Marquette University

Publications: 14

Barbara L. Fredrickson

Barbara L. Fredrickson

University of North Carolina at Chapel Hill

Publications: 14

Fabienne Collette

Fabienne Collette

University of Liège

Publications: 14

Lynn Hasher

Lynn Hasher

University of Toronto

Publications: 13

Francis Eustache

Francis Eustache

Université de Caen Normandie

Publications: 13

Bruce P. Hermann

Bruce P. Hermann

University of Wisconsin–Madison

Publications: 13

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