World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
64
Citations
15638
World Ranking
3249
National Ranking
1508

Kumar Sambamurti publications per year

1985: 1 publications 1986: 0 publications 1987: 1 publications 1988: 0 publications 1989: 1 publications 1990: 1 publications 1991: 3 publications 1992: 2 publications 1993: 1 publications 1994: 1 publications 1995: 3 publications 1996: 3 publications 1997: 2 publications 1998: 3 publications 1999: 3 publications 2000: 6 publications 2001: 5 publications 2002: 10 publications 2003: 9 publications 2004: 13 publications 2005: 3 publications 2006: 11 publications 2007: 5 publications 2008: 14 publications 2009: 8 publications 2010: 6 publications 2011: 6 publications 2012: 7 publications 2013: 4 publications 2014: 7 publications 2015: 7 publications 2016: 0 publications 2017: 2 publications 2018: 3 publications 2019: 0 publications 2020: 2 publications 2021: 2 publications 2022: 6 publications 2023: 8 publications 2024: 11 publications 2025: 19 publications
1985 2025

199 publications in total across all disciplines

Kumar Sambamurti 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 Kumar Sambamurti 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.

Kumar Sambamurti 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 Kumar Sambamurti 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: 64 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Kumar Sambamurti is affiliated with the Medical University of South Carolina in the United States. Their research primarily spans the fields of Medicine, Biochemistry, Genetics and Molecular Biology, and Neuroscience. They have contributed notably to several subfields such as Molecular Biology, Physiology, Biological Psychiatry, Neurology, and Cellular and Molecular Neuroscience.

The scientist's research topics cover a broad range related to brain health and disease mechanisms. These include:

  • Alzheimer's disease research and treatments
  • Tryptophan and brain disorders
  • Gut microbiota and health
  • Diet and metabolism studies
  • MicroRNA in disease regulation
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Diabetes Treatment and Management

Recent papers authored or co-authored by Kumar Sambamurti demonstrate a focus on neurodegenerative diseases, immune system interactions, and molecular pathways relevant to Alzheimer's disease. Notable publications include:

  • The role of the adaptive immune system and T cell dysfunction in neurodegenerative diseases (2022, Journal of Neuroinflammation)
  • Indoles as essential mediators in the gut-brain axis. Their role in Alzheimer's disease (2021, Neurobiology of Disease)
  • Rivastigmine modifies the α-secretase pathway and potentially early Alzheimer's disease (2020, Translational Psychiatry)
  • Mechanistic Insights Into Gut Microbiome Dysbiosis-Mediated Neuroimmune Dysregulation and Protein Misfolding and Clearance in the Pathogenesis of Chronic Neurodegenerative Disorders (2022, Frontiers in Neuroscience)
  • Sex-Specific Regulation of β-Secretase: A Novel Estrogen Response Element (ERE)-Dependent Mechanism in Alzheimer's Disease (2021, Journal of Neuroscience)

Kumar Sambamurti has frequently collaborated with several researchers, including Miguel A. Pappolla, Nigel H. Greig, Debomoy K. Lahiri, Burkhard Pöeggeler, and Bryan Maloney. These collaborations have contributed to an extensive publication record within journals that include:

  • Alzheimer s & Dementia
  • International Journal of Molecular Sciences
  • Translational Psychiatry
  • Journal of Alzheimer s Disease
  • Preprints.org

Best Publications

  • Hypercholesterolemia accelerates the Alzheimer's amyloid pathology in a transgenic mouse model.

    Lorenzo M. Refolo;Miguel A. Pappolla;Brian Malester;John LaFrancois

  • Selective butyrylcholinesterase inhibition elevates brain acetylcholine, augments learning and lowers Alzheimer β-amyloid peptide in rodent

    Nigel H. Greig;Tadanobu Utsuki;Tadanobu Utsuki;Donald K. Ingram;Yue Wang

  • GLP-1 receptor stimulation preserves primary cortical and dopaminergic neurons in cellular and rodent models of stroke and Parkinsonism

    Yazhou Li;Tracy Ann Perry;Mark S. Kindy;Brandon K. Harvey

  • Increased App expression in a mouse model of Down's syndrome disrupts NGF transport and causes cholinergic neuron degeneration.

    Ahmad Salehi;Jean Dominique Delcroix;Pavel V. Belichenko;Ke Zhan

  • Butyrylcholinesterase: an important new target in Alzheimer's disease therapy.

    Nigel H. Greig;Debomoy K. Lahiri;Kumar Sambamurti

  • Glucagon-like peptide-1 decreases endogenous amyloid-β peptide (Aβ) levels and protects hippocampal neurons from death induced by Aβ and iron

    Tracy Ann Perry;Debomoy K. Lahiri;Kumar Sambamurti;Demao Chen

  • High cholesterol-induced neuroinflammation and amyloid precursor protein processing correlate with loss of working memory in mice.

    Lakshmi Thirumangalakudi;Annamalai Prakasam;Ran Zhang;Heather Bimonte-Nelson

  • GLP-1 Receptor Stimulation Reduces Amyloid-β Peptide Accumulation and Cytotoxicity in Cellular and Animal Models of Alzheimer's Disease

    Yazhou Li;Kara B. Duffy;Mary Ann Ottinger;Balmiki Ray

  • Amyloid-β peptide levels in brain are inversely correlated with insulysin activity levels in vivo

    Bonnie C. Miller;Elizabeth A. Eckman;Kumar Sambamurti;Kumar Sambamurti;Nicole Dobbs

  • Amyloid-Beta Protein Clearance and Degradation (ABCD) Pathways and their Role in Alzheimer's Disease

    Robert J. Baranello;Krishna L. Bharani;Vasudevaraju Padmaraju;Nipun Chopra

  • Effects of a Saturated Fat and High Cholesterol Diet on Memory and Hippocampal Morphology in the Middle-Aged Rat

    Ann-Charlotte Granholm;Heather A. Bimonte-Nelson;Alfred B. Moore;Matthew E. Nelson

  • Resolution of inflammation is altered in Alzheimer's disease

    Xiuzhe Wang;Mingqin Zhu;Erik Hjorth;Veronica Cortés-Toro

  • Alzheimer's Disease β-Amyloid Peptide Is Increased in Mice Deficient in Endothelin-converting Enzyme

    Elizabeth A. Eckman;Mona Watson;Laura Marlow;Kumar Sambamurti

  • Differential Expression of Cholesterol Hydroxylases in Alzheimer's Disease*

    James Brown;Catherine Theisler;Simone Silberman;Debra Magnuson

  • Exact cleavage site of Alzheimer amyloid precursor in neuronal PC-12 cells.

    John P. Anderson;Fred S. Esch;Pamela S. Keim;Kumar Sambamurti

  • Current drug targets for Alzheimer's disease treatment

    Debomoy K. Lahiri;Martin R. Farlow;Nigel H. Greig;Kumar Sambamurti

  • Advances in the cellular and molecular biology of the beta-amyloid protein in Alzheimer’s disease

    Kumar Sambamurti;Nigel H. Greig;Debomoy K. Lahiri

  • Human retinal pigment epithelium cells as functional models for the RPE in vivo.

    Zsolt Ablonczy;Mohammad Dahrouj;Peter H. Tang;Yueying Liu

  • Phenserine regulates translation of β-amyloid precursor protein mRNA by a putative interleukin-1 responsive element, a target for drug development

    Karen T. Y. Shaw;Tadanobu Utsuki;Jack Rogers;Qian-Sheng Yu

  • TNF-alpha inhibition as a treatment strategy for neurodegenerative disorders: new drug candidates and targets.

    David Tweedie;Kumar Sambamurti;Nigel H. Greig

  • A critical analysis of new molecular targets and strategies for drug developments in Alzheimer's disease.

    Debomoy K. Lahiri;Martin R. Farlow;Kumar Sambamurti;Nigel H. Greig

Frequent Co-Authors

Debomoy K. Lahiri
Debomoy K. Lahiri Indiana University
Nigel H. Greig
Nigel H. Greig National Institutes of Health
Miguel A. Pappolla
Miguel A. Pappolla The University of Texas Medical Branch at Galveston
Jack T. Rogers
Jack T. Rogers Harvard University
Mark S. Kindy
Mark S. Kindy University of South Florida
Martin R. Farlow
Martin R. Farlow Indiana University
Donald K. Ingram
Donald K. Ingram Louisiana State University
Mark P. Mattson
Mark P. Mattson Johns Hopkins University
Narayan R. Bhat
Narayan R. Bhat Medical University of South Carolina

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Related Online Degrees & Career Pathways

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These pathways can open doors to research roles, clinical appointments, counseling, and applied neuroscience fields—empowering you to shape your unique career journey in the growing world of brain science.

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