World's Best Scientists 2026 revealed!
Michale S. Fee

Michale S. Fee

D-Index & Metrics

Neuroscience

D-Index
51
Citations
12084
World Ranking
5461
National Ranking
2430

Michale S. Fee 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 Michale S. Fee 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: 82 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Michale S. Fee 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 Michale S. Fee 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: 51 D-Index — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Overview

Michale S. Fee is affiliated with MIT in the United States and has contributed to several research areas primarily within biochemistry, genetics, and molecular biology, as well as agricultural and biological sciences. Their work spans multiple fields including ecology, evolution, behavior and systematics, biophysics, developmental biology, cognition neuroscience, and neural dynamics. Michale's research reflects an interdisciplinary approach focused on animal behavior and reproduction, vocal communication, advanced microscopy techniques, and neural function.

The main topics of their research include:

  • Animal Behavior and Reproduction
  • Animal Vocal Communication and Behavior
  • Advanced Fluorescence Microscopy Techniques
  • Marine Animal Studies Overview
  • Neural Dynamics and Brain Function
  • Advanced Electron Microscopy Techniques and Applications
  • Advanced Memory and Neural Computing

Michale has published extensively in several scientific journals and preprint platforms. Frequent publication venues include bioRxiv (Cold Spring Harbor Laboratory) with four papers, Nature Methods with two papers, as well as contributions to Nature Communications and eLife.

Representative papers authored or co-authored by Michale include:

  • "An optical design enabling lightweight and large field-of-view head-mounted microscopes" (2023, Nature Methods)
  • "SyConn2: dense synaptic connectivity inference for volume electron microscopy" (2022, Nature Methods)
  • "An avian cortical circuit for chunking tutor song syllables into simple vocal-motor units" (2020, Nature Communications)
  • "Self-organization of songbird neural sequences during social isolation" (2023, eLife)
  • "A Novel Optical Design Enabling Lightweight and Large Field-of-View Head-Mounted Microscopes" (2021, bioRxiv)

Collaboration is a consistent aspect of Michale's research, with frequent co-authors including Emily L. Mackevicius, Shijie Gu, Joseph R. Scherrer, Galen F. Lynch, and Jie Zhang. The partnership with these researchers spans several years and multiple publications, highlighting an ongoing network of scholarly engagement.

Best Publications

  • An ultra-sparse code underlies the generation of neural sequences in a songbird.

    Richard H. R. Hahnloser;Alexay A. Kozhevnikov;Michale S. Fee

  • A Miniature Head-Mounted Two-Photon Microscope: High-Resolution Brain Imaging in Freely Moving Animals

    Fritjof Helmchen;Michale S. Fee;David W. Tank;Winfried Denk

  • Vocal experimentation in the juvenile songbird requires a basal ganglia circuit.

    Bence P Ölveczky;Aaron S Andalman;Michale S Fee

  • Using temperature to analyse temporal dynamics in the songbird motor pathway

    Michael A. Long;Michale S. Fee

  • An Energy-Efficient Micropower Neural Recording Amplifier

    W. Wattanapanitch;M. Fee;R. Sarpeshkar

  • Automatic sorting of multiple unit neuronal signals in the presence of anisotropic and non-Gaussian variability.

    Michale S. Fee;Partha P. Mitra;David Kleinfeld

  • Support for a synaptic chain model of neuronal sequence generation

    Michael A. Long;Dezhe Z. Jin;Michale S. Fee

  • A specialized forebrain circuit for vocal babbling in the juvenile songbird

    Dmitriy Aronov;Aaron S. Andalman;Michale S. Fee

  • Encoding Pheromonal Signals in the Accessory Olfactory Bulb of Behaving Mice

    Minmin Luo;Michale S. Fee;Lawrence C. Katz

  • A basal ganglia-forebrain circuit in the songbird biases motor output to avoid vocal errors

    Aaron S. Andalman;Michale S. Fee

  • Neural mechanisms of vocal sequence generation in the songbird.

    Michale S. Fee;Alexay A. Kozhevnikov;Richard H.R. Hahnloser

  • The role of nonlinear dynamics of the syrinx in the vocalizations of a songbird.

    Michale S. Fee;Boris Shraiman;Bijan Pesaran;Partha P. Mitra

  • Singing-Related Activity of Identified HVC Neurons in the Zebra Finch

    Alexay A. Kozhevnikov;Michale S. Fee

  • Central Versus Peripheral Determinants of Patterned Spike Activity in Rat Vibrissa Cortex During Whisking

    Michale S. Fee;Partha P. Mitra;David Kleinfeld

  • Ensemble Coding of Vocal Control in Birdsong

    Anthony Leonardo;Michale S. Fee

  • A hypothesis for basal ganglia-dependent reinforcement learning in the songbird.

    Michale S. Fee;Jesse H. Goldberg

  • Variability of extracellular spike waveforms of cortical neurons

    Michale S. Fee;Partha P. Mitra;David Kleinfeld

  • Miniature motorized microdrive and commutator system for chronic neural recording in small animals.

    Michale S Fee;Anthony Leonardo

  • Waves and stimulus-modulated dynamics in an oscillating olfactory network.

    K R Delaney;A Gelperin;M S Fee;J A Flores

  • Model of Birdsong Learning Based on Gradient Estimation by Dynamic Perturbation of Neural Conductances

    Ila R. Fiete;Michale S. Fee;H. Sebastian Seung

Frequent Co-Authors

David Kleinfeld
David Kleinfeld University of California, San Diego
Richard H. R. Hahnloser
Richard H. R. Hahnloser University of Zurich
Steven Chu
Steven Chu Stanford University
Karsten Danzmann
Karsten Danzmann Max Planck Institute for Gravitational Physics
Rahul Sarpeshkar
Rahul Sarpeshkar Dartmouth College
David W. Tank
David W. Tank Princeton University
Fritjof Helmchen
Fritjof Helmchen University of Zurich
Theodor W. Hänsch
Theodor W. Hänsch Max Planck Institute of Quantum Optics
Allison J. Doupe
Allison J. Doupe University of California, San Francisco
David J. Perkel
David J. Perkel University of Washington

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