World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
37
Citations
6425
World Ranking
8749
National Ranking
3708

Monica L. Vetter 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 Monica L. Vetter 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: 102 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Monica L. Vetter 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 Monica L. Vetter 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: 37 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Monica L. Vetter is affiliated with the University of Utah in the United States. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, Medicine, and Neuroscience. Within these broader categories, they have contributed extensively to subfields including Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Neurology, and Ophthalmology.

Their work focuses largely on topics related to retinal biology and neurodegeneration, encompassing retinal development and disorders, photoreceptor and optogenetics research, neuroinflammation and neurodegeneration mechanisms, as well as immune cells in cancer. Additional areas of interest include interferon and immune responses, glaucoma and retinal disorders, and neuroscience with neural engineering aspects.

Monica L. Vetter has a number of publications in several reputable venues. These include bioRxiv (Cold Spring Harbor Laboratory), Cell Reports, Molecular Neurodegeneration, Frontiers in Cell and Developmental Biology, and Glia. Their publication record features recent papers such as:

  • Retinal ganglion cell repopulation for vision restoration in optic neuropathy: a roadmap from the RReSTORe Consortium (2023) in Molecular Neurodegeneration
  • Jarid2 promotes temporal progression of retinal progenitors via repression of Foxp1 (2023) in Cell Reports
  • On the Generation and Regeneration of Retinal Ganglion Cells (2020) in Frontiers in Cell and Developmental Biology
  • CD11c-expressing microglia are transient, driven by interactions with apoptotic cells (2024) in bioRxiv (Cold Spring Harbor Laboratory)

Frequent co-authors collaborating with Monica L. Vetter include:

  • Alejandra Bosco
  • Jacqueline M. Roberts
  • Joon Schwakopf
  • Mariana S. Silveira
  • Viviane M. Oliveira-Valença

Best Publications

  • Progressive Ganglion Cell Degeneration Precedes Neuronal Loss in a Mouse Model of Glaucoma

    Brian P. Buckingham;Denise M. Inman;Wendi Lambert;Ericka Oglesby

  • Early microglia activation in a mouse model of chronic glaucoma.

    Alejandra Bosco;Michael R. Steele;Monica L. Vetter

  • Math5 encodes a murine basic helix-loop-helix transcription factor expressed during early stages of retinal neurogenesis

    Nadean L Brown;Shami Kanekar;Monica L. Vetter;Priscilla K. Tucker

  • The genetic sequence of retinal development in the ciliary margin of the Xenopus eye.

    Muriel Perron;Shami Kanekar;Monica L. Vetter;William A. Harris

  • Reduced retina microglial activation and improved optic nerve integrity with minocycline treatment in the DBA/2J mouse model of glaucoma.

    Alejandra Bosco;Denise M. Inman;Michael R. Steele;Guangming Wu

  • Nerve growth factor rapidly stimulates tyrosine phosphorylation of phospholipase C-γ1 by a kinase activity associated with the product of the trk protooncogene

    M L Vetter;D Martin-Zanca;L F Parada;J M Bishop

  • Retinal Ganglion Cells Downregulate Gene Expression and Lose Their Axons within the Optic Nerve Head in a Mouse Glaucoma Model

    Ileana Soto;Ileana Soto;Ericka Oglesby;Brian P. Buckingham;Janice L. Son

  • Xath5 Participates in a Network of bHLH Genes in the Developing Xenopus Retina

    Shami Kanekar;Muriel Perron;Richard Dorsky;William A. Harris

  • Microarray analysis of retinal gene expression in the DBA/2J model of glaucoma.

    Michael R. Steele;Denise M. Inman;David J. Calkins;Philip J. Horner

  • Frizzled 5 signaling governs the neural potential of progenitors in the developing Xenopus retina.

    Terence J. Van Raay;Kathryn B. Moore;Ilina Iordanova;Michael Steele

  • Neurodegeneration severity can be predicted from early microglia alterations monitored in vivo in a mouse model of chronic glaucoma

    Alejandra Bosco;Cesar O. Romero;Kevin T. Breen;Alexis A. Chagovetz

  • The role of basic helix-loop-helix genes in vertebrate retinogenesis.

    Monica L Vetter;Nadean L Brown

  • Early Reduction of Microglia Activation by Irradiation in a Model of Chronic Glaucoma

    Alejandra Bosco;Samuel D. Crish;Michael R. Steele;Cesar O. Romero

  • A directional Wnt/β-catenin-Sox2-proneural pathway regulates the transition from proliferation to differentiation in the Xenopus retina

    Michalis Agathocleous;Ilina Iordanova;Minde I. Willardsen;Xiao Yan Xue

  • Posttranslational mechanisms control the timing of bHLH function and regulate retinal cell fate

    Kathryn B. Moore;Meredith L. Schneider;Monica L. Vetter

  • Xebf3 is a regulator of neuronal differentiation during primary neurogenesis in Xenopus.

    Ombretta Pozzoli;Alessandro Bosetti;Laura Croci;G.Giacomo Consalez

  • Complement C3-Targeted Gene Therapy Restricts Onset and Progression of Neurodegeneration in Chronic Mouse Glaucoma

    Alejandra Bosco;Sarah R. Anderson;Kevin T. Breen;Cesar O. Romero

  • Wnt/frizzled signaling during vertebrate retinal development.

    Terence J. van Raay;Monica L. Vetter

  • Regulation of eye development by frizzled signaling in Xenopus

    Jennifer T. Rasmussen;Matthew A. Deardorff;Change Tan;Mahendra S. Rao

  • The eyeless mouse mutation (ey1) removes an alternative start codon from the Rx/rax homeobox gene

    Priscilla Tucker;Lois Laemle;Amanda Munson;Shami Kanekar

  • The bHLH Factors Xath5 and XNeuroD Can Upregulate the Expression of XBrn3d, a POU-Homeodomain Transcription Factor

    David A Hutcheson;Monica L Vetter

Frequent Co-Authors

David J. Calkins
David J. Calkins Vanderbilt University Medical Center
William A. Harris
William A. Harris University of Cambridge
Philip J. Horner
Philip J. Horner Houston Methodist
Stephen Tomlinson
Stephen Tomlinson Medical University of South Carolina
William W. Hauswirth
William W. Hauswirth University of Florida
Milan Jamrich
Milan Jamrich Baylor College of Medicine
Vince A. Chiodo
Vince A. Chiodo University of Florida
Sanford L. Boye
Sanford L. Boye University of Florida
Thomas M Glaser
Thomas M Glaser University of California, Davis
Claude Desplan
Claude Desplan New York University

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Related Online Degrees & Career Pathways

A background in neuroscience opens the door to diverse career pathways, both within research and in applied fields such as therapy, counseling, and psychology. If you are interested in blending neuroscience expertise with a people-focused profession, consider exploring online degrees tailored for these areas.

Many students begin with a cacrep-accredited program to gain foundational expertise in counseling, paving the way for licensure and clinical practice. Those seeking budget-friendly educational options can look into the cheapest online counseling degree programs, ensuring high-quality education without excessive debt.

If your interests lie in family dynamics or therapeutic practice, affordable online mft programs (Marriage and Family Therapy) offer a specialized path that connects neuroscience with family mental health. Alternatively, for those aiming to advance their understanding of human behavior and brain science, consider one of the many accredited masters programs in psychology.

Each pathway allows you to build on your neuroscience foundation, opening up long-term and meaningful career opportunities in mental health, research, and clinical practice.

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