World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
68
Citations
33762
World Ranking
2696
National Ranking
1263

Kim N. Green 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 Kim N. Green 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: 153 publications — 44th percentile

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

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

Kim N. Green 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 Kim N. Green 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: 68 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Kim N. Green is affiliated with the University of California, Irvine in the United States. Their research primarily focuses on neuroscience and medicine, with significant contributions in subfields such as neurology, physiology, molecular biology, immunology, and cellular and molecular neuroscience.

The main topics covered in their work include:

  • Neuroinflammation and Neurodegeneration Mechanisms
  • Alzheimer's disease research and treatments
  • Immune cells in cancer
  • Tryptophan and brain disorders
  • Neuroscience and Neuropharmacology Research
  • Neurological Disease Mechanisms and Treatments
  • Nuclear Receptors and Signaling

Kim N. Green has co-authored publications with several frequent collaborators, including:

  • Grant R. MacGregor
  • Andrea J. Tenner
  • Frank M. LaFerla
  • Shimako Kawauchi
  • Celia Da Cunha

Their work has appeared extensively in various scientific venues, notably:

  • Alzheimer s & Dementia (26 publications)
  • bioRxiv (Cold Spring Harbor Laboratory) (10 publications)
  • Glia (4 publications)
  • Nature Communications (2 publications)
  • Science Advances (2 publications)

Recent publications authored or co-authored by Kim N. Green include:

  • To Kill a Microglia: A Case for CSF1R Inhibitors, 2020, Trends in Immunology
  • Systematic Phenotyping and Characterization of the 5xFAD Mouse Model of Alzheimer's Disease, 2021, Scientific Data
  • Systematic Phenotyping and Characterization of the 3xTg-AD Mouse Model of Alzheimer's Disease, 2022, Frontiers in Neuroscience

Best Publications

  • Guidelines for the use and interpretation of assays for monitoring autophagy

    Daniel J. Klionsky;Fabio C. Abdalla;Hagai Abeliovich;Robert T. Abraham

  • Intracellular amyloid-β in Alzheimer's disease

    Frank M. LaFerla;Kim N. Green;Salvatore Oddo

  • Colony-Stimulating Factor 1 Receptor Signaling Is Necessary for Microglia Viability, Unmasking a Microglia Progenitor Cell in the Adult Brain

    Monica Renee Pittman Elmore;Allison Rachel Najafi;Maya Allegra Koike;Nabil Nazih Dagher

  • Intraneuronal Aβ Causes the Onset of Early Alzheimer’s Disease-Related Cognitive Deficits in Transgenic Mice

    Lauren M. Billings;Salvatore Oddo;Kim N. Green;James L. McGaugh

  • Neural stem cells improve cognition via BDNF in a transgenic model of Alzheimer disease.

    Mathew Blurton-Jones;Masashi Kitazawa;Hilda Martinez-Coria;Nicholas A. Castello

  • Sustained microglial depletion with CSF1R inhibitor impairs parenchymal plaque development in an Alzheimer's disease model.

    Elizabeth Spangenberg;Paul L. Severson;Lindsay A. Hohsfield;Joshua Crapser

  • Glucocorticoids increase amyloid-beta and tau pathology in a mouse model of Alzheimer's disease.

    Kim N. Green;Lauren M. Billings;Benno Roozendaal;James L. McGaugh

  • Lipopolysaccharide-Induced Inflammation Exacerbates Tau Pathology by a Cyclin-Dependent Kinase 5-Mediated Pathway in a Transgenic Model of Alzheimer's Disease

    Masashi Kitazawa;Salvatore Oddo;Tritia R. Yamasaki;Kim N. Green

  • Eliminating microglia in Alzheimer’s mice prevents neuronal loss without modulating amyloid-β pathology

    Elizabeth E. Spangenberg;Rafael J. Lee;Allison R. Najafi;Rachel A. Rice

  • Animal Models of Alzheimer Disease

    Frank M. LaFerla;Kim N. Green

  • Colony-stimulating factor 1 receptor inhibition prevents microglial plaque association and improves cognition in 3xTg-AD mice

    Nabil N. Dagher;Allison R. Najafi;Kara M. Neely Kayala;Monica R. P. Elmore

  • M1 Receptors Play a Central Role in Modulating AD-like Pathology in Transgenic Mice

    Antonella Caccamo;Salvatore Oddo;Lauren M. Billings;Kim N. Green

  • Nicotinamide restores cognition in Alzheimer's disease transgenic mice via a mechanism involving sirtuin inhibition and selective reduction of Thr231-phosphotau.

    Kim N. Green;Joan S. Steffan;Hilda Martinez-Coria;Xuemin Sun

  • Necroptosis activation in Alzheimer's disease

    Antonella Caccamo;Caterina Branca;Ignazio S. Piras;Eric Ferreira

  • Aβ inhibits the proteasome and enhances amyloid and tau accumulation

    Bertrand P. Tseng;Kim N. Green;Julie L. Chan;Mathew Blurton-Jones

  • IKK phosphorylates Huntingtin and targets it for degradation by the proteasome and lysosome

    Leslie Michels Thompson;Charity T. Aiken;Linda S. Kaltenbach;Namita Agrawal

  • Systematic phenotyping and characterization of the 5xFAD mouse model of Alzheimer's disease.

    Stefania Forner;Shimako Kawauchi;Gabriela Balderrama-Gutierrez;Enikö A. Kramár

  • Dietary docosahexaenoic acid and docosapentaenoic acid ameliorate amyloid-beta and tau pathology via a mechanism involving presenilin 1 levels.

    Kim N Green;Hilda Martinez-Coria;Hasan Khashwji;Eileen B Hall

  • Linking Calcium to Aβ and Alzheimer's Disease

    Kim N. Green;Frank M. LaFerla

  • Inflammation in Alzheimer's disease: Lessons learned from microglia-depletion models.

    Elizabeth E. Spangenberg;Kim N. Green

  • SERCA pump activity is physiologically regulated by presenilin and regulates amyloid β production

    Kim N. Green;Angelo Demuro;Yama Akbari;Brian D. Hitt

Frequent Co-Authors

Frank M. LaFerla
Frank M. LaFerla University of California, Irvine
Brian L. West
Brian L. West Daiichi Sankyo (United States)
Chris Peers
Chris Peers University of Leeds
Marcelo A. Wood
Marcelo A. Wood University of California, Irvine
Salvatore Oddo
Salvatore Oddo Arizona State University
Andrea J. Tenner
Andrea J. Tenner University of California, Irvine
Mathew Blurton-Jones
Mathew Blurton-Jones University of California, Irvine
Antonella Caccamo
Antonella Caccamo University of Messina
Enikö A. Kramár
Enikö A. Kramár University of California, Irvine
Leslie M. Thompson
Leslie M. Thompson University of California, Irvine

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Related Online Degrees & Career Pathways

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