World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
47
Citations
7256
World Ranking
6500
National Ranking
545

Bertram Gerber 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 Bertram Gerber 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: 107 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Bertram Gerber 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 Bertram Gerber 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: 47 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Bertram Gerber is affiliated with Otto-von-Guericke University Magdeburg in Germany and conducts research primarily in the fields of neuroscience and biochemistry, genetics, and molecular biology. Their scientific contributions span several topics, with a notable focus on neurobiology and insect physiology research.

The main fields of study in Gerber's work include:

  • Neuroscience
  • Biochemistry, Genetics and Molecular Biology

Gerber's research subfields highlight a detailed engagement with cellular and molecular mechanisms as well as ecological and evolutionary perspectives:

  • Cellular and Molecular Neuroscience
  • Ecology
  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Molecular Biology

The scientist's main research topics are diverse, covering behavioral and physiological aspects as well as studies focusing on genetics and adaptation:

  • Neurobiology and Insect Physiology Research
  • Physiological and biochemical adaptations
  • Photoreceptor and optogenetics research
  • Insect and Arachnid Ecology and Behavior
  • Animal Behavior and Reproduction
  • Plant and animal studies
  • Genetics, Aging, and Longevity in Model Organisms

Gerber has contributed to multiple scientific publications. Some recent papers include:

  • "Recurrent architecture for adaptive regulation of learning in the insect brain," 2020, Nature Neuroscience
  • "Identification of Dopaminergic Neurons That Can Both Establish Associative Memory and Acutely Terminate Its Behavioral Expression," 2020, Journal of Neuroscience
  • "Aversive teaching signals from individual dopamine neurons in larval Drosophila show qualitative differences in their temporal 'fingerprint'," 2020, The Journal of Comparative Neurology
  • "High-resolution analysis of individual Drosophila melanogaster larvae uncovers individual variability in locomotion and its neurogenetic modulation," 2023, Open Biology
  • "Prediction error drives associative learning and conditioned behavior in a spiking model of Drosophila larva," 2023, iScience

Frequent co-authors working with Gerber include:

  • Michael Schleyer
  • Aliće Weiglein
  • Juliane Thoener
  • Nino Mancini
  • Andreas S. Thum

Gerber's work is published across several venues, with notable frequency in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Neurogenetics
  • Journal of Experimental Biology
  • Journal of Neuroscience
  • Nature Neuroscience

Best Publications

  • Light-induced activation of distinct modulatory neurons triggers appetitive or aversive learning in Drosophila larvae.

    Christian Schroll;Thomas Riemensperger;Daniel Bucher;Julia Ehmer

  • The complete connectome of a learning and memory centre in an insect brain

    Katharina Eichler;Feng Li;Ashok Litwin-Kumar;Youngser Park

  • The Drosophila larva as a model for studying chemosensation and chemosensory learning: a review

    Bertram Gerber;Reinhard F. Stocker

  • Olfactory learning in individually assayed Drosophila larvae.

    Sabine Scherer;Reinhard F. Stocker;Bertram Gerber

  • An engram found? Evaluating the evidence from fruit flies

    Bertram Gerber;Hiromu Tanimoto;Martin Heisenberg

  • Odorant intensity as a determinant for olfactory conditioning in honeybees: roles in discrimination, overshadowing and memory consolidation.

    Corinna Pelz;Bertram Gerber;Randolf Menzel

  • Experimental psychology: Event timing turns punishment to reward

    Hiromu Tanimoto;Martin Heisenberg;Bertram Gerber

  • Recurrent architecture for adaptive regulation of learning in the insect brain.

    Claire Eschbach;Akira Fushiki;Michael Winding;Casey M. Schneider-Mizell

  • Functional architecture of reward learning in mushroom body extrinsic neurons of larval Drosophila.

    Timo Saumweber;Astrid Rohwedder;Michael Schleyer;Katharina Eichler

  • Pharmacological dissociation between the reinforcing, sensitizing, and response-releasing functions of reward in honeybee classical conditioning.

    Randolf Menzel;Andrea Heyne;Cordula Kinzel;Bertram Gerber

  • LONG- BUT NOT MEDIUM-TERM RETENTION OF OLFACTORY MEMORIES IN HONEYBEES IS IMPAIRED BY ACTINOMYCIN D AND ANISOMYCIN

    Daniel Wustenberg;Bertram Gerber;Randolf Menzel

  • Pain-relief learning in flies, rats, and man: basic research and applied perspectives

    Bertram Gerber;Ayse Yarali;Sören Diegelmann;Carsten T. Wotjak

  • A molecular and neuronal basis for amino acid sensing in the Drosophila larva

    Vincent Croset;Michael Schleyer;J. Roman Arguello;Bertram Gerber;Bertram Gerber

  • Outcome expectations drive learned behaviour in larval Drosophila

    Bertram Gerber;Thomas Hendel

  • Visual learning in individually assayed Drosophila larvae.

    Bertram Gerber;Sabine Scherer;K. Neuser;B. Michels

  • A rift between implicit and explicit conditioned valence in human pain relief learning

    Marta Andreatta;Andreas Mühlberger;Ayse Yarali;Bertram Gerber

  • Four Individually Identified Paired Dopamine Neurons Signal Reward in Larval Drosophila.

    Astrid Rohwedder;Astrid Rohwedder;Nana L. Wenz;Bernhard Stehle;Annina Huser

  • Behavioral analyses of sugar processing in choice, feeding, and learning in larval Drosophila.

    Angela Schipanski;Ayse Yarali;Thomas Niewalda;Bertram Gerber

  • A role for Synapsin in associative learning: The Drosophila larva as a study case

    Birgit Michels;Sören Diegelmann;Hiromu Tanimoto;Isabell Schwenkert

  • Smelling, Tasting, Learning: Drosophila as a Study Case

    Bertram Gerber;Reinhard F. Stocker;T. Tanimura;Andreas Thum

  • Honey bees transfer olfactory memories established during flower visits to a proboscis extension paradigm in the laboratory

    B. Gerber;N. Geberzahn;F. Hellstern;J. Klein

  • Appetitive olfactory learning in Drosophila larvae: effects of repetition, reward strength, age, gender, assay type and memory span

    Kirsa Neuser;Jana Husse;Patrick Stock;Bertram Gerber

Frequent Co-Authors

Hiromu Tanimoto
Hiromu Tanimoto Tohoku University
Randolf Menzel
Randolf Menzel Freie Universität Berlin
Albert Cardona
Albert Cardona University of Cambridge
Martin Heisenberg
Martin Heisenberg University of Würzburg
Markus Fendt
Markus Fendt Otto-von-Guericke University Magdeburg
André Fiala
André Fiala University of Göttingen
Reinhard F. Stocker
Reinhard F. Stocker University of Fribourg
Paul Pauli
Paul Pauli University of Würzburg
Yoshinori Aso
Yoshinori Aso Howard Hughes Medical Institute
Martin Giurfa
Martin Giurfa Sorbonne University

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