World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
35
Citations
5926
World Ranking
9150
National Ranking
3860

Mark Stopfer 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 Mark Stopfer 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: 91 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Mark Stopfer 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 Mark Stopfer 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: 35 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

Mark Stopfer is affiliated with the National Institutes of Health in the United States. Their research primarily focuses on neuroscience, with substantial work in agricultural and biological sciences. Within these fields, they have contributed to subfields including cellular and molecular neuroscience, insect science, sensory systems, genetics, and ecology, evolution, behavior, and systematics.

The scientist's research interests span several key topics: neurobiology and insect physiology research, insect pheromone research and control, olfactory and sensory function studies, insect and arachnid ecology and behavior, advanced chemical sensor technologies, plant and animal studies, and ocular surface and contact lens studies.

Mark Stopfer has published extensively in various scientific venues. Frequent publication outlets include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • eLife
  • Scientific Reports
  • Progress in Retinal and Eye Research

They have collaborated repeatedly with coauthors including Subhasis Ray, Zane Aldworth, Kui Sun, Nitin Gupta, and Maxim Bazhenov.

Stopfer's recent scholarly articles include:

  • "Feedback inhibition and its control in an insect olfactory circuit," 2020, eLife
  • "Myelination of peripheral nerves is controlled by PI4KB through regulation of Schwann cell Golgi function," 2020, Proceedings of the National Academy of Sciences
  • "Optimality of sparse olfactory representations is not affected by network plasticity," 2020, PLoS Computational Biology
  • "Olfactory receptor neurons generate multiple response motifs, increasing coding space dimensionality," 2023, eLife
  • "Argos: A toolkit for tracking multiple animals in complex visual environments," 2021, Methods in Ecology and Evolution

Best Publications

  • Impaired Odour Discrimination on Desynchronization of Odour-Encoding Neural Assemblies

    Mark Stopfer;Seetha Bhagavan;Seetha Bhagavan;Brian H. Smith;Gilles Laurent

  • Intensity versus Identity Coding in an Olfactory System

    Mark Stopfer;Vivek Jayaraman;Gilles Laurent

  • Odor encoding as an active, dynamical process : Experiments, computation, and theory

    Gilles Laurent;Mark Stopfer;Rainer W. Friedrich;Misha I. Rabinovich

  • Short-term memory in olfactory network dynamics

    Mark Stopfer;Gilles Laurent

  • Model of Transient Oscillatory Synchronization in the Locust Antennal Lobe

    Maxim Bazhenov;Mark Stopfer;Mikhail Rabinovich;Ramon Huerta

  • Encoding a temporally structured stimulus with a temporally structured neural representation.

    Stacey L Brown;Joby Joseph;Mark Stopfer

  • Sparse odor representation and olfactory learning.

    Iori Ito;Rose Chik-ying Ong;Rose Chik-ying Ong;Baranidharan Raman;Baranidharan Raman;Mark Stopfer

  • Model of cellular and network mechanisms for odor-evoked temporal patterning in the locust antennal lobe.

    Maxim Bazhenov;Mark Stopfer;Mikhail Rabinovich;Henry D.I. Abarbanel

  • Information processing in the olfactory systems of insects and vertebrates.

    Leslie M. Kay;Mark Stopfer

  • Odor-Evoked Neural Oscillations in Drosophila Are Mediated by Widely Branching Interneurons

    Nobuaki K. Tanaka;Kei Ito;Mark Stopfer

  • Temporally Diverse Firing Patterns in Olfactory Receptor Neurons Underlie Spatiotemporal Neural Codes for Odors

    Baranidharan Raman;Joby Joseph;Jeff Tang;Mark Stopfer

  • Adaptive regulation of sparseness by feedforward inhibition

    Collins Assisi;Mark Stopfer;Gilles Laurent;Maxim Bazhenov

  • Functional Analysis of a Higher Olfactory Center, the Lateral Horn

    Nitin Gupta;Mark Stopfer

  • Synaptic learning rules and sparse coding in a model sensory system.

    Luca A. Finelli;Seth Haney;Maxim Bazhenov;Mark Stopfer

  • Fast Odor Learning Improves Reliability of Odor Responses in the Locust Antennal Lobe

    Maxim Bazhenov;Mark Stopfer;Mark Stopfer;Terrence J. Sejnowski;Terrence J. Sejnowski;Gilles Laurent

  • Frequency transitions in odor-evoked neural oscillations.

    Iori Ito;Maxim Bazhenov;Rose Chik-ying Ong;Rose Chik-ying Ong;Baranidharan Raman;Baranidharan Raman

  • Recent dynamics in olfactory population coding

    Rainer W. Friedrich;Mark Stopfer

  • Heterosynaptic Facilitation of Tail Sensory Neuron Synaptic Transmission during Habituation in Tail-Induced Tail and Siphon Withdrawal Reflexes of Aplysia

    Mark Stopfer;Thomas J. Carew

  • Neural Encoding of Odors during Active Sampling and in Turbulent Plumes

    Stephen J. Huston;Mark Stopfer;Stijn Cassenaer;Zane N. Aldworth

  • Dynamical coding of sensory information with competitive networks

    M. I. Rabinovich;R. Huerta;R. Huerta;A. Volkovskii;H. D. Abarbanel

Frequent Co-Authors

Maxim Bazhenov
Maxim Bazhenov University of California, San Diego
Gilles Laurent
Gilles Laurent Max Planck Society
Thomas J. Carew
Thomas J. Carew New York University
Terrence J. Sejnowski
Terrence J. Sejnowski Salk Institute for Biological Studies
Catharine H. Rankin
Catharine H. Rankin University of British Columbia
Mikhail I. Rabinovich
Mikhail I. Rabinovich University of California, San Diego
Ramón Huerta
Ramón Huerta Autonomous University of Madrid
Kei Ito
Kei Ito University of Cologne
Rainer W. Friedrich
Rainer W. Friedrich Friedrich Miescher Institute
Tamas Balla
Tamas Balla National Institutes of Health

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Related Online Degrees & Career Pathways

If you're interested in Neuroscience, a variety of related online degrees and career pathways in psychology and social work can help broaden your expertise and career options. Many students consider pairing or supplementing their Neuroscience studies with degrees centered on mental health, therapy, or social services. These pathways offer flexibility via online learning and can open doors to diverse professions.

Psychology remains a key field connected to Neuroscience. Pursuing an online degree in psychology provides a broad foundation, while an online masters psychology program lets you specialize further and qualify for higher-level roles. For those seeking to work in clinical or counseling settings, an marriage and family therapy degree online is a strong choice, focusing on therapeutic skills that are in high demand.

Additionally, if you're drawn to roles in social advocacy or community mental health, you can explore msw degree programs. These social work programs emphasize practical skills and prepare graduates for licensure, making them valuable companions to a background in Neuroscience.

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