World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
45
Citations
9972
World Ranking
6850
National Ranking
578

Jane Neumann 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 Jane Neumann 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: 160 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Jane Neumann 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 Jane Neumann 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

Jane Neumann is affiliated with the Max Planck Society in Germany and has focused their research on neuroscience and medicine, with specific emphasis on cognitive neuroscience and cellular and molecular neuroscience. Their work spans both fundamental and applied aspects of neural and behavioral psychology, as well as studies related to cardiology and cardiovascular medicine.

Their research topics include:

  • Neurotransmitter Receptor Influence on Behavior
  • Neural and Behavioral Psychology Studies
  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • Behavioral Health and Interventions
  • Signaling Pathways in Disease
  • Cardiac Fibrosis and Remodeling

Among the recent papers authored or co-authored by Jane Neumann are:

  • "Dopamine release, diffusion and uptake: A computational model for synaptic and volume transmission," 2020, PLoS Computational Biology
  • "Enhanced Go and NoGo Learning in Individuals With Obesity," 2020, Frontiers in Behavioral Neuroscience
  • "Murine matrix metalloproteinase 13 and human matrix metalloproteinase 1 are involved in remodelling processes after myocardial infarction," 2024, Cardiovascular Research
  • "Neural Representations of Extrasystoles: A Predictive Coding Perspective," 2024, bioRxiv (Cold Spring Harbor Laboratory)
  • "Cholinergic network modulation of food cue response in humans," 2020, Nuklearmedizin - NuclearMedicine

Frequent collaborators in their research include Arno Villringer, Kathleen Wiencke, N A Soerensen, Raphael Twerenbold, and Annette Horstmann.

The scientist has published across various venues, with recent work appearing in:

  • PLoS Computational Biology
  • Frontiers in Behavioral Neuroscience
  • Cardiovascular Research
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nuklearmedizin - NuclearMedicine

Jane Neumann's research integrates perspectives from cognitive neuroscience and molecular biology, applying computational models and predictive coding theories to understand neurotransmitter dynamics and neural representations relevant to behavioral and cardiac health. Their contributions address mechanisms underlying dopamine signaling, learning behavior in obesity, and cardiac remodeling, reflecting a multidisciplinary approach bridging neuroscience and cardiovascular medicine.

Best Publications

  • Involvement of the inferior frontal junction in cognitive control: meta-analyses of switching and Stroop studies.

    Jan Derrfuss;Marcel Brass;Jane Neumann;D. Yves von Cramon

  • Striatum and pre-SMA facilitate decision-making under time pressure

    Birte U. Forstmann;Gilles Dutilh;Scott Brown;Jane Neumann

  • The extended language network: a meta-analysis of neuroimaging studies on text comprehension.

    Evelyn C. Ferstl;Jane Neumann;Carsten Bogler;D. Yves von Cramon

  • Genetically determined differences in learning from errors

    Tilmann A. Klein;Jane Neumann;Martin Reuter;Jürgen Hennig

  • Neural correlates of error awareness

    Tilmann A. Klein;Tanja Endrass;Norbert Kathmann;Jane Neumann

  • Mapping the depressed brain: A meta-analysis of structural and functional alterations in major depressive disorder

    Julia Sacher;Julia Sacher;Jane Neumann;Jane Neumann;Tillmann Fünfstück;Alexandra Soliman

  • Cortico-striatal connections predict control over speed and accuracy in perceptual decision making

    Birte U. Forstmann;Alfred Anwander;Andreas Schäfer;Jane Neumann

  • Neural correlates of Alzheimer's disease and mild cognitive impairment: A systematic and quantitative meta-analysis involving 1351 patients

    Matthias L. Schroeter;Timo Stein;Timo Stein;Nina Maslowski;Jane Neumann

  • Characterizing acupuncture stimuli using brain imaging with FMRI--a systematic review and meta-analysis of the literature.

    Wenjing Huang;Wenjing Huang;Daniel Pach;Vitaly J. Napadow;Kyungmo Park

  • Performance of healthy participants on the Iowa Gambling Task.

    Helen Steingroever;Ruud Wetzels;Annette Horstmann;Annette Horstmann;Jane Neumann;Jane Neumann

  • Dopamine DRD2 Polymorphism Alters Reversal Learning and Associated Neural Activity

    Gerhard Jocham;Tilmann A. Klein;Jane Neumann;D. Yves von Cramon

  • Cortico-subthalamic white matter tract strength predicts interindividual efficacy in stopping a motor response

    Birte U. Forstmann;Max C. Keuken;Sara Jahfari;Pierre Louis Bazin

  • Sexual dimorphism in the human brain: evidence from neuroimaging.

    Julia Sacher;Julia Sacher;Jane Neumann;Jane Neumann;Hadas Okon-Singer;Sarah Gotowiec

  • Neural networks in frontotemporal dementia--a meta-analysis.

    Matthias L. Schroeter;Karolina Raczka;Jane Neumann;D. Yves von Cramon

  • Reward processing in obesity, substance addiction and non-substance addiction.

    Isabel Garcia-Garcia;Isabel Garcia-Garcia;Annette Horstmann;Annette Horstmann;M. A. Jurado;M. Garolera

  • Obesity-Related Differences between Women and Men in Brain Structure and Goal-Directed Behavior

    Annette Horstmann;Franziska P. Busse;David Mathar;Karsten Müller

  • Towards a nosology for frontotemporal lobar degenerations-a meta-analysis involving 267 subjects.

    Matthias L. Schroeter;Karolina Raczka;Jane Neumann;D. Yves von Cramon

  • Stroop interference, hemodynamic response and aging: An event-related fMRI study

    Stefan Zysset;Matthias L. Schroeter;Jane Neumann;D. Yves von Cramon

  • Response inhibition and its relation to multidimensional impulsivity.

    Tilmann Wilbertz;Lorenz Deserno;Lorenz Deserno;Annette Horstmann;Annette Horstmann;Jane Neumann;Jane Neumann

  • Ultra-high 7T MRI of structural age-related changes of the subthalamic nucleus.

    Max C. Keuken;Pierre Louis Bazin;Andreas Schäfer;Jane Neumann;Jane Neumann

  • Characterizing acupuncture stimuli using brain imaging with fMRI — A systematic review and meta-analysis of the literature

    Wenjing Huang;Wenjing Huang;Daniel Pach;Vitaly Napadow;Vitaly Napadow;Kyungmo Park

  • Dopamine DRD2 polymorphism alters reversal learning and associated neural activity

    G Jocham;TA Klein;J Neumann;DY von Cramon

Frequent Co-Authors

Annette Horstmann
Annette Horstmann University of Helsinki
Arno Villringer
Arno Villringer Max Planck Institute for Human Cognitive and Brain Sciences
Matthias L. Schroeter
Matthias L. Schroeter Max Planck Society
D. Yves von Cramon
D. Yves von Cramon Max Planck Institute for Human Cognitive and Brain Sciences
Birte U. Forstmann
Birte U. Forstmann University of Amsterdam
Burkhard Pleger
Burkhard Pleger Ruhr University Bochum
Robert Turner
Robert Turner Max Planck Society
Karsten Mueller
Karsten Mueller Max Planck Society
Vadim V. Nikulin
Vadim V. Nikulin Max Planck Society
Lorenz Deserno
Lorenz Deserno University of Wurzburg

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