World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
72
Citations
16702
World Ranking
2327
National Ranking
1101

Patricia H. Janak 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 Patricia H. Janak 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: 167 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Patricia H. Janak 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 Patricia H. Janak 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: 72 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Patricia H. Janak is affiliated with Johns Hopkins University in the United States and has contributed extensively to the fields of neuroscience and biochemistry, genetics, and molecular biology. Their research spans several subfields, including cellular and molecular neuroscience, cognitive neuroscience, molecular biology, social psychology, and behavioral neuroscience.

The scientist has published a significant number of works addressing key topics such as neurotransmitter receptor influence on behavior, receptor mechanisms and signaling, memory and neural mechanisms, neural dynamics and brain function, neuroscience and neuropharmacology research, neuroendocrine regulation and behavior, and stress responses including cortisol-related studies.

Among their recent publications are:

  • A quantitative reward prediction error signal in the ventral pallidum (2020, Nature Neuroscience)
  • Consolidating the Circuit Model for Addiction (2021, Annual Review of Neuroscience)
  • Dopaminergic Regulation of Nucleus Accumbens Cholinergic Interneurons Demarcates Susceptibility to Cocaine Addiction (2020, Biological Psychiatry)
  • Reward activity in ventral pallidum tracks satiety-sensitive preference and drives choice behavior (2020, Science Advances)
  • Mesostriatal dopamine is sensitive to changes in specific cue-reward contingencies (2024, Science Advances)

The scientist frequently collaborates with other researchers, including Kurt M. Fraser, Yifeng Cheng, David J. Ottenheimer, Robin Magnard, and Eric Garr, reflecting a network of scholarly interaction supporting their research efforts.

Publications are distributed notably in venues such as bioRxiv (Cold Spring Harbor Laboratory), Science Advances, Journal of Neuroscience, Psychopharmacology, and iScience, reflecting a focus on disseminating findings in high-impact and peer-reviewed journals.

Best Publications

  • From circuits to behaviour in the amygdala

    Patricia H. Janak;Kay M. Tye

  • A causal link between prediction errors, dopamine neurons and learning

    Elizabeth E Steinberg;Ronald Keiflin;Josiah R Boivin;Ilana B Witten

  • Recombinase-Driver Rat Lines: Tools, Techniques, and Optogenetic Application to Dopamine-Mediated Reinforcement

    Ilana B. Witten;Elizabeth E. Steinberg;Soo Yeun Lee;Thomas J. Davidson

  • Habitual Alcohol Seeking: Time Course and the Contribution of Subregions of the Dorsal Striatum

    Laura H. Corbit;Laura H. Corbit;Hong Nie;Patricia H. Janak

  • Dopamine Prediction Errors in Reward Learning and Addiction: From Theory to Neural Circuitry

    Ronald Keiflin;Patricia H. Janak;Patricia H. Janak

  • Dopamine neurons create Pavlovian conditioned stimuli with circuit-defined motivational properties.

    Benjamin T. Saunders;Jocelyn M. Richard;Jocelyn M. Richard;Elyssa B. Margolis;Patricia H. Janak

  • RACK1 and Brain-Derived Neurotrophic Factor: A Homeostatic Pathway That Regulates Alcohol Addiction

    Nancy N H McGough;Dao-Yao He;Marian L Logrip;Jerome Jeanblanc

  • General and outcome-specific forms of Pavlovian-instrumental transfer: the effect of shifts in motivational state and inactivation of the ventral tegmental area.

    Laura H. Corbit;Patricia H. Janak;Bernard W. Balleine

  • Rapid strengthening of thalamo-amygdala synapses mediates cue–reward learning

    Kay M. Tye;Garret D. Stuber;Bram de Ridder;Antonello Bonci

  • Anxiogenic and aversive effects of corticotropin-releasing factor (CRF) in the bed nucleus of the stria terminalis in the rat: role of CRF receptor subtypes

    Lacey L. Sahuque;Erika F. Kullberg;Andrew J. Mcgeehan;Jennifer R. Kinder

  • Substantial similarity in amygdala neuronal activity during conditioned appetitive and aversive emotional arousal

    Steven J. Shabel;Patricia H. Janak

  • Glial Cell Line-Derived Neurotrophic Factor Mediates the Desirable Actions of the Anti-Addiction Drug Ibogaine against Alcohol Consumption

    Dao-Yao He;Nancy N. H. McGough;Ajay Ravindranathan;Jerome Jeanblanc

  • Ethanol Induces Long-Term Facilitation of NR2B-NMDA Receptor Activity in the Dorsal Striatum: Implications for Alcohol Drinking Behavior

    Jun Wang;Sebastien Carnicella;Khanhky Phamluong;Jerome Jeanblanc

  • Separable roles of the nucleus accumbens core and shell in context- and cue-induced alcohol-seeking.

    Nadia Chaudhri;Lacey L Sahuque;William W Schairer;Patricia H Janak

  • Endogenous BDNF in the Dorsolateral Striatum Gates Alcohol Drinking

    Jerome Jeanblanc;Dao-Yao He;Sebastien Carnicella;Viktor Kharazia

  • Posterior dorsomedial striatum is critical for both selective instrumental and Pavlovian reward learning

    Laura H. Corbit;Patricia H. Janak

  • Disruption of alcohol-related memories by mTORC1 inhibition prevents relapse

    Segev Barak;Segev Barak;Feng Liu;Sami Ben Hamida;Quinn V Yowell

  • Comparison of the effects of allopregnanolone with direct GABAergic agonists on ethanol self-administration with and without concurrently available sucrose.

    Patricia H Janak;T Michael Gill

  • Positive reinforcement mediated by midbrain dopamine neurons requires D1 and D2 receptor activation in the nucleus accumbens.

    Elizabeth E. Steinberg;Josiah R. Boivin;Benjamin T. Saunders;Ilana Basya Witten

  • Context is a trigger for relapse to alcohol

    Isabella Zironi;Costanza Burattini;Giorgio Aicardi;Patricia H. Janak

  • Ethanol‐Associated Cues Produce General Pavlovian‐Instrumental Transfer

    Laura H. Corbit;Patricia H. Janak

Frequent Co-Authors

Dorit Ron
Dorit Ron University of California, San Francisco
Kay M. Tye
Kay M. Tye Salk Institute for Biological Studies
Donald J. Woodward
Donald J. Woodward University of North Carolina School of Medicine
Viktor Kharazia
Viktor Kharazia University of California, San Francisco
Antonello Bonci
Antonello Bonci National Institute on Drug Abuse
M. Foster Olive
M. Foster Olive Arizona State University
Ilana B. Witten
Ilana B. Witten Princeton University
Robert O. Messing
Robert O. Messing The University of Texas at Austin
Christian Lüscher
Christian Lüscher University of Geneva
Karl Deisseroth
Karl Deisseroth Stanford University

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 a career in neuroscience opens up various educational and professional opportunities. Many students look for flexible and efficient ways to earn their degree, making an accelerated bachelor's degree online an attractive option. These programs allow you to quickly acquire foundational knowledge and begin your career sooner.

Neuroscience is also connected to some of the highest paying degrees, offering strong earning potential and diverse job prospects. Many of the highest paid college majors are found within the sciences, including neuroscience, biomedical engineering, or related fields—underscoring its value in today’s job market.

Additionally, affordability is a key consideration. Students seeking budget-friendly options can discover online colleges that accept federal financial aid, making advanced education more accessible. Whether you’re pursuing research, healthcare, or technology roles, studying neuroscience online in the USA can lead to rewarding and lucrative career pathways.

Best Scientists Citing Patricia H. Janak

Trending Scientists

Recently Published Articles