World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 45 6850 6301 578 547 160 9972

Jane Neumann publications per year

The chart shows the history of publications by Jane Neumann between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jane Neumann published across 23 years, from 2003 to 2025, averaging 7.2 papers a year. Output peaked at 20 publications in 2013. 4 of the 166 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2013. 2003: 2 publications 2004: 1 publication 2005: 5 publications 2006: 8 publications 2007: 9 publications 2008: 9 publications 2009: 9 publications 2010: 12 publications 2011: 14 publications 2012: 10 publications 2013: 20 publications 2014: 17 publications 2015: 13 publications 2016: 13 publications 2017: 7 publications 2018: 4 publications 2019: 5 publications 2020: 4 publications 2021: 0 publications 2022: 0 publications 2023: 0 publications 2024: 3 publications 2025: 1 publication
2003 2025

166 publications in total across all disciplines

View publications per year as a table
Jane Neumann: publications per year, 2003 to 2025
Year Publications
2003 2
2004 1
2005 5
2006 8
2007 9
2008 9
2009 9
2010 12
2011 14
2012 10
2013 20
2014 17
2015 13
2016 13
2017 7
2018 4
2019 5
2020 4
2021 0
2022 0
2023 0
2024 3
2025 1
Total 166
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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.

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, 158–167 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: 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.

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
158–167 397 160
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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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.

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, 44–45 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: 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.

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 45
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

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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