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D-Index & Metrics

Neuroscience

D-Index
38
Citations
7128
World Ranking
8503
National Ranking
3622

Alena Savonenko 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 Alena Savonenko 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: 98 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Alena Savonenko 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 Alena Savonenko 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: 38 D-Index — 12th percentile

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

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

Overview

Alena Savonenko is affiliated with Johns Hopkins University School of Medicine in the United States. Their research spans multiple disciplines within medicine and neuroscience, focusing particularly on neurodegenerative diseases and cognitive impairments.

The primary fields of study for Savonenko include Medicine, Neuroscience, and Biochemistry, Genetics and Molecular Biology. Their work is further specialized within subfields such as Physiology, Molecular Biology, Cognitive Neuroscience, Genetics, and Psychiatry and Mental Health.

The main topics covered by Savonenko's research reflect a focus on neurodegenerative and neurodevelopmental disorders. These topics include Alzheimer's disease research and treatments, dementia and cognitive impairment research, genetics and neurodevelopmental disorders, functional brain connectivity studies, tryptophan and brain disorders, memory and neural mechanisms, and phosphodiesterase function and regulation.

Co-authors who frequently collaborate with Savonenko are Paul F. Worley, Gwenn S. Smith, Hiroto Kuwabara, Michael A. Kraut, and Neda F Gould, each having co-authored six publications.

Publication venues where Savonenko's work has appeared most often include Biological Psychiatry, Neurobiology of Aging, and bioRxiv (Cold Spring Harbor Laboratory) with two publications each. Other frequent publication venues are eLife and Science Advances.

Recent papers authored or co-authored by Alena Savonenko include:

  • A non-mosaic transchromosomic mouse model of Down syndrome carrying the long arm of human chromosome 21 (2020), published in eLife
  • A biomarker-authenticated model of schizophrenia implicating NPTX2 loss of function (2021), published in Science Advances
  • Positron emission tomography imaging of serotonin degeneration and beta-amyloid deposition in late-life depression evaluated with multi-modal partial least squares (2021), published in Translational Psychiatry
  • Regional amyloid correlates of cognitive performance in ageing and mild cognitive impairment (2022), published in Brain Communications
  • Serotonin Degeneration and Amyloid-β Deposition in Mild Cognitive Impairment: Relationship to Cognitive Deficits (2023), published in Journal of Alzheimer s Disease

Best Publications

  • BACE1, a Major Determinant of Selective Vulnerability of the Brain to Amyloid-β Amyloidogenesis, is Essential for Cognitive, Emotional, and Synaptic Functions

    Fiona M. Laird;Huaibin Cai;Alena V. Savonenko;Mohamed H. Farah

  • Environmental enrichment mitigates cognitive deficits in a mouse model of Alzheimer's disease.

    Joanna L. Jankowsky;Joanna L. Jankowsky;Tatiana Melnikova;Daniel J. Fadale;Guilian M. Xu

  • Episodic-like memory deficits in the APPswe/PS1dE9 mouse model of Alzheimer's disease: Relationships to β-amyloid deposition and neurotransmitter abnormalities

    Alena Savonenko;Guilian M. Xu;Tatiana Melnikova;Johanna L. Morton

  • Alteration of BACE1-dependent NRG1/ErbB4 signaling and schizophrenia-like phenotypes in BACE1-null mice

    A. V. Savonenko;T. Melnikova;F. M. Laird;K.-A. Stewart

  • NPTX2 and cognitive dysfunction in Alzheimer’s Disease

    Mei Fang Xiao;Desheng Xu;Michael T. Craig;Kenneth A. Pelkey

  • Persistent Amyloidosis following Suppression of Aβ Production in a Transgenic Model of Alzheimer Disease

    Joanna L Jankowsky;Joanna L Jankowsky;Hilda H Slunt;Hilda H Slunt;Victoria Gonzales;Alena V Savonenko

  • A Mouse Model of Blast Injury to Brain: Initial Pathological, Neuropathological, and Behavioral Characterization

    Vassilis E. Koliatsos;Ibolja Cernak;Leyan Xu;Yeajin Song

  • Age-dependent cognitive deficits and neuronal apoptosis in cyclooxygenase-2 transgenic mice

    Katrin I. Andreasson;Alena Savonenko;Sveta Vidensky;Joseph J. Goellner

  • Amyloid pathology is associated with progressive monoaminergic neurodegeneration in a transgenic mouse model of Alzheimer's disease.

    Ying Liu;Mi Jeong Yoo;Alena Savonenko;Wanda Stirling

  • Effectiveness of Estrogen Replacement in Restoration of Cognitive Function after Long-Term Estrogen Withdrawal in Aging Rats

    Alicja L. Markowska;Alena V. Savonenko

  • Morphometry of the human substantia nigra in ageing and Parkinson's disease.

    Richard O’Brien;Alena V. Savonenko;Susan M. Resnick

  • PET imaging of microglia by targeting macrophage colony-stimulating factor 1 receptor (CSF1R).

    Andrew G. Horti;Ravi Naik;Catherine A. Foss;Il Minn

  • The cognitive effects of ovariectomy and estrogen replacement are modulated by aging

    A.V Savonenko;A.L Markowska

  • Retraction Notice to: Enhanced Polyubiquitination of Shank3 and NMDA Receptor in a Mouse Model of Autism

    M. Ali Ali Bangash;Joo Min Park;Tatiana Melnikova;Dehua Wang

  • Cycloxygenase-2 activity promotes cognitive deficits but not increased amyloid burden in a model of Alzheimer's disease in a sex-dimorphic pattern.

    T. Melnikova;A. Savonenko;Q. Wang;X. Liang

  • Synthesis and biodistribution of [11C]A-836339, a new potential radioligand for PET imaging of cannabinoid type 2 receptors (CB2)

    Andrew Horti;Yongjun Gao;Hayden T. Ravert;Paige Finley

  • Nuclear-targeting of mutant huntingtin fragments produces Huntington's disease-like phenotypes in transgenic mice

    Gabriele Schilling;Alena V. Savonenko;Alexandra Klevytska;Johanna L. Morton

  • Normal cognitive behavior in two distinct congenic lines of transgenic mice hyperexpressing mutant APPSWE

    Alena V Savonenko;Guilian M Xu;Donald L Price;David R Borchelt

  • Cannabinoid CB2 Receptors in a Mouse Model of Aβ Amyloidosis: Immunohistochemical Analysis and Suitability as a PET Biomarker of Neuroinflammation.

    Alena V. Savonenko;Tatiana Melnikova;Yuchuan Wang;Hayden Ravert

  • Environmental, pharmacological, and genetic modulation of the HD phenotype in transgenic mice

    Gabriele Schilling;Alena V. Savonenko;Michael L. Coonfield;Johanna L. Morton

  • Molecular imaging of serotonin degeneration in mild cognitive impairment.

    Gwenn S. Smith;Frederick S. Barrett;Jin Hui Joo;Najlla Nassery

Frequent Co-Authors

David R. Borchelt
David R. Borchelt University of Florida
Donald L. Price
Donald L. Price Johns Hopkins University
Philip C. Wong
Philip C. Wong Johns Hopkins University School of Medicine
Juan C. Troncoso
Juan C. Troncoso Johns Hopkins University School of Medicine
Paul F. Worley
Paul F. Worley Johns Hopkins University School of Medicine
Alicja L. Markowska
Alicja L. Markowska National Institute on Aging
Robert F. Dannals
Robert F. Dannals Johns Hopkins University School of Medicine
Dean F. Wong
Dean F. Wong Washington University in St. Louis
Roger H. Reeves
Roger H. Reeves Johns Hopkins University School of Medicine
Michael A. Kraut
Michael A. Kraut Johns Hopkins University School of Medicine

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