World's Best Scientists 2026 revealed!
Monica D. Rosenberg

Monica D. Rosenberg

D-Index & Metrics

Neuroscience

D-Index
45
Citations
17487
World Ranking
6796
National Ranking
2937

Monica D. Rosenberg 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 Monica D. Rosenberg sits on this spectrum.

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 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 110 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Monica D. Rosenberg 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 Monica D. Rosenberg sits on this spectrum.

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 D-Index 163+

This scientist: 45 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Overview

Monica D. Rosenberg is affiliated with the University of Chicago in the United States and has an extensive research portfolio in the field of Neuroscience, with a focus on Cognitive Neuroscience. Their work spans multiple subfields including Experimental and Cognitive Psychology, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, and Clinical Psychology.

Their recent notable papers include:

  • "Psilocybin therapy increases cognitive and neural flexibility in patients with major depressive disorder" (2021) published in Translational Psychiatry
  • "Functional connectivity predicts changes in attention observed across minutes, days, and months" (2020) published in Proceedings of the National Academy of Sciences
  • "How to establish robust brain-behavior relationships without thousands of individuals" (2022) published in Nature Neuroscience
  • "Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk" (2020) published in Nature Communications
  • "Neural signatures of attentional engagement during narratives and its consequences for event memory" (2021) published in Proceedings of the National Academy of Sciences

Frequent co-authors collaborating with Monica D. Rosenberg include:

  • Omid Kardan
  • Marvin M. Chun
  • Dustin Scheinost
  • R. Todd Constable
  • Hayoung Song

The scientist's publications have appeared frequently in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Journal of Vision
  • Developmental Cognitive Neuroscience
  • Journal of Neuroscience

Their research topics focus primarily on:

  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Neural and Behavioral Psychology Studies
  • EEG and Brain-Computer Interfaces
  • Mental Health Research Topics
  • Advanced MRI Techniques and Applications
  • Mind wandering and attention

Best Publications

  • Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity

    Emily S Finn;Xilin Shen;Dustin Scheinost;Monica D Rosenberg

  • The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites.

    B.J. Casey;B.J. Casey;Tariq Cannonier;May I. Conley;May I. Conley;Alexandra O. Cohen

  • Brain charts for the human lifespan

    Unknown

  • Image processing and analysis methods for the Adolescent Brain Cognitive Development Study.

    Donald J. Hagler;Sean N. Hatton;M. Daniela Cornejo;Carolina Makowski

  • Using connectome-based predictive modeling to predict individual behavior from brain connectivity.

    Xilin Shen;Emily S Finn;Dustin Scheinost;Monica D Rosenberg

  • A neuromarker of sustained attention from whole-brain functional connectivity.

    Monica D Rosenberg;Emily S Finn;Dustin Scheinost;Xenophon Papademetris

  • Robust prediction of individual creative ability from brain functional connectivity

    Roger E. Beaty;Yoed N. Kenett;Alexander P. Christensen;Monica D. Rosenberg

  • In the Zone or Zoning Out? Tracking Behavioral and Neural Fluctuations During Sustained Attention

    Michael Esterman;Sarah K. Noonan;Sarah K. Noonan;Monica Rosenberg;Joseph DeGutis;Joseph DeGutis

  • Ten simple rules for predictive modeling of individual differences in neuroimaging.

    Dustin Scheinost;Stephanie Noble;Corey Horien;Abigail S. Greene

  • Psilocybin therapy increases cognitive and neural flexibility in patients with major depressive disorder

    Manoj K. Doss;Michal Považan;Monica D. Rosenberg;Nathan D. Sepeda

  • How to establish robust brain–behavior relationships without thousands of individuals

    Unknown

  • Sustaining visual attention in the face of distraction: a novel gradual-onset continuous performance task

    Monica Rosenberg;Sarah Noonan;Sarah Noonan;Joseph DeGutis;Joseph DeGutis;Michael Esterman;Michael Esterman

  • Prediction complements explanation in understanding the developing brain.

    Monica D. Rosenberg;B. J. Casey;Avram J. Holmes

  • Resting-state functional connectivity predicts neuroticism and extraversion in novel individuals.

    Wei-Ting Hsu;Monica D Rosenberg;Dustin Scheinost;R Todd Constable

  • Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets.

    Kwangsun Yoo;Monica D. Rosenberg;Wei-Ting Hsu;Sheng Zhang

  • Functional connectivity predicts changes in attention observed across minutes, days, and months.

    Monica D. Rosenberg;Monica D. Rosenberg;Dustin Scheinost;Abigail S. Greene;Emily W. Avery

  • Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies.

    Angus Ho Ching Fong;Kwangsun Yoo;Monica D. Rosenberg;Sheng Zhang

  • Intrinsic Fluctuations in Sustained Attention and Distractor Processing

    Michael Esterman;Monica D Rosenberg;Monica D Rosenberg;Sarah K Noonan

  • Characterizing Attention with Predictive Network Models

    M.D. Rosenberg;E.S. Finn;D. Scheinost;R.T. Constable

  • Patterns in the human brain mosaic discriminate males from females

    Adam M. Chekroud;Emily J. Ward;Monica D. Rosenberg;Avram J. Holmes;Avram J. Holmes

  • Methylphenidate Modulates Functional Network Connectivity to Enhance Attention.

    Monica D Rosenberg;Sheng Zhang;Wei-Ting Hsu;Dustin Scheinost

  • Connectome-based Models Predict Separable Components of Attention in Novel Individuals

    Monica D. Rosenberg;Wei-Ting Hsu;Dustin Scheinost;R. Todd Constable

Frequent Co-Authors

R. Todd Constable
R. Todd Constable Yale University
Dustin Scheinost
Dustin Scheinost Yale University
Marvin M. Chun
Marvin M. Chun Yale University
B. J. Casey
B. J. Casey Barnard College
Michael Esterman
Michael Esterman Boston University
Avram J. Holmes
Avram J. Holmes Yale University
Marc G. Berman
Marc G. Berman University of Chicago
Damien A. Fair
Damien A. Fair University of Minnesota
Donald J. Hagler
Donald J. Hagler Mayo Clinic
Deanna M. Barch
Deanna M. Barch Washington University in St. Louis

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Neuroscience opens the door to diverse educational options and lucrative career trajectories. Many students find value in pursuing one of the highest paid college majors related to neuroscience, such as biomedical engineering, computer science, or healthcare fields. These disciplines often overlap with neuroscience and offer robust earning potential after graduation.

For those looking for affordable pathways, consider enrolling in one of the best online colleges that accept fafsa. These institutions can reduce your out-of-pocket expenses while providing flexible, accredited degree programs.

If you're looking to boost your skills or credentials quickly, you might be interested in completing one of the certificate programs that pay well. Certifications in areas like data analysis or mental health support can quickly complement your neuroscience background and qualify you for specialized roles.

Additionally, if you prefer a more manageable academic workload, you may want to review easy online degrees. These programs can provide foundational knowledge relevant to allied neuroscience careers, while allowing greater balance for work or family commitments.

Best Scientists Citing Monica D. Rosenberg

Trending Scientists

Recently Published Articles