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Mika Naganawa

D-Index & Metrics

Neuroscience

D-Index
38
Citations
5798
World Ranking
8560
National Ranking
3641

Mika Naganawa 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 Mika Naganawa 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: 177 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Mika Naganawa 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 Mika Naganawa 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

Mika Naganawa is affiliated with Yale University in the United States and has contributed extensively to the fields of Medicine and Neuroscience. Their research primarily focuses on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Physiology, and Psychiatry and Mental health.

The main topics addressed in Naganawa's work include Functional Brain Connectivity Studies, Neuroscience and Neuropharmacology Research, Alzheimer's disease research and treatments, Medical Imaging Techniques and Applications, Advanced MRI Techniques and Applications, Epilepsy research and treatment, and Neurological disorders and treatments.

Frequent publication venues for Naganawa's research include:

  • Alzheimer s & Dementia
  • Journal of Nuclear Medicine
  • Biological Psychiatry
  • Molecular Psychiatry
  • European Journal of Nuclear Medicine and Molecular Imaging

Among recent research papers authored or co-authored by Naganawa are:

  • In vivo measurement of widespread synaptic loss in Alzheimer's disease with SV2A PET, 2020, Alzheimer s & Dementia
  • Synaptic Changes in Parkinson Disease Assessed with in vivo Imaging, 2020, Annals of Neurology
  • Synaptic density and cognitive performance in Alzheimer's disease: A PET imaging study with [11C]UCB-J, 2022, Alzheimer s & Dementia
  • First-in-Human Evaluation of 18F-SynVesT-1, a Radioligand for PET Imaging of Synaptic Vesicle Glycoprotein 2A, 2020, Journal of Nuclear Medicine
  • Association of Aβ deposition and regional synaptic density in early Alzheimer's disease: a PET imaging study with [11C]UCB-J, 2021, Alzheimer s Research & Therapy

Frequent co-authors who have collaborated with Naganawa include:

  • Richard E. Carson
  • Nabeel Nabulsi
  • Takuya Toyonaga
  • Yiyun Huang
  • David Matuskey

Best Publications

  • Lower synaptic density is associated with depression severity and network alterations.

    Sophie E. Holmes;Dustin Scheinost;Sjoerd J. Finnema;Mika Naganawa

  • Assessing Synaptic Density in Alzheimer Disease With Synaptic Vesicle Glycoprotein 2A Positron Emission Tomographic Imaging.

    Ming-Kai Chen;Adam P. Mecca;Mika Naganawa;Sjoerd J. Finnema

  • In vivo measurement of widespread synaptic loss in Alzheimer's disease with SV2A PET

    Adam P Mecca;Ming-Kai Chen;Ryan S O'Dell;Mika Naganawa

  • Synaptic density and cognitive performance in Alzheimer's disease: A PET imaging study with [11C]UCB‐J

    Unknown

  • Synaptic Changes in Parkinson Disease Assessed with in vivo Imaging.

    David Matuskey;Sule Tinaz;Kyle C. Wilcox;Mika Naganawa

  • High occupancy of sigma-1 receptors in the human brain after single oral administration of fluvoxamine: a positron emission tomography study using [11C]SA4503.

    Masatomo Ishikawa;Kiichi Ishiwata;Kenji Ishii;Yuichi Kimura

  • Extraction of a plasma time-activity curve from dynamic brain PET images based on independent component analysis

    M. Naganawa;Y. Kimura;K. Ishii;K. Oda

  • Adenosine A2A Receptors Measured with [11C]TMSX PET in the Striata of Parkinson's Disease Patients

    Masahiro Mishina;Kiichi Ishiwata;Mika Naganawa;Yuichi Kimura

  • First-in-Human Evaluation of 18F-SynVesT-1, a Radioligand for PET Imaging of Synaptic Vesicle Glycoprotein 2A.

    Mika Naganawa;Songye Li;Nabeel B Nabulsi;Shannan Henry

  • Assessment of a white matter reference region for 11C-UCB-J PET quantification.

    Samantha Rossano;Takuya Toyonaga;Sjoerd J Finnema;Mika Naganawa

  • Imaging of Synaptic Density in Neurodegenerative Disorders.

    Unknown

  • Association of Aβ deposition and regional synaptic density in early Alzheimer's disease: a PET imaging study with [11C]UCB-J.

    Ryan S. O’Dell;Adam P. Mecca;Ming-Kai Chen;Mika Naganawa

  • Clinical doses of atomoxetine significantly occupy both norepinephrine and serotonin transports: Implications on treatment of depression and ADHD

    Yu-Shin Ding;Yu-Shin Ding;Mika Naganawa;Jean-Dominique Gallezot;Nabeel Nabulsi

  • In vivo evidence of lower synaptic vesicle density in schizophrenia.

    Rajiv Radhakrishnan;Patrick D Skosnik;Mohini Ranganathan;Mika Naganawa

  • Evaluation of distribution of adenosine A2A receptors in normal human brain measured with [11C]TMSX PET.

    Masahiro Mishina;Kiichi Ishiwata;Yuichi Kimura;Mika Naganawa

  • First-in-Human Assessment of 11C-LSN3172176, an M1 Muscarinic Acetylcholine Receptor PET Radiotracer.

    Mika Naganawa;Nabeel B Nabulsi;Shannan Henry;David Matuskey

  • Imaging the effect of ketamine on synaptic density (SV2A) in the living brain

    Unknown

  • Association of In Vivo κ-Opioid Receptor Availability and the Transdiagnostic Dimensional Expression of Trauma-Related Psychopathology

    Robert H. Pietrzak;Robert H. Pietrzak;Mika Naganawa;Yiyun Huang;Stefani Corsi-Travali

  • Comparison of [11C]UCB-J and [18F]FDG PET in Alzheimer’s disease: A tracer kinetic modeling study:

    Ming-Kai Chen;Adam P Mecca;Mika Naganawa;Jean-Dominique Gallezot

  • In Vivo Synaptic Density Imaging with 11C-UCB-J Detects Treatment Effects of Saracatinib in a Mouse Model of Alzheimer Disease

    Takuya Toyonaga;Levi M. Smith;Sjoerd J. Finnema;Jean-Dominique Gallezot

  • Evaluation of the agonist PET radioligand [¹¹C]GR103545 to image kappa opioid receptor in humans: kinetic model selection, test-retest reproducibility and receptor occupancy by the antagonist PF-04455242

    Mika Naganawa;Leslie K. Jacobsen;Ming-Qiang Zheng;Shu-Fei Lin

  • Mapping of human cerebral sigma1 receptors using positron emission tomography and [11C]SA4503.

    Muneyuki Sakata;Yuichi Kimura;Mika Naganawa;Keiichi Oda

  • Reduced synaptic vesicle protein 2A binding in temporal lobe epilepsy: A [11 C]UCB-J positron emission tomography study.

    Sjoerd J. Finnema;Takuya Toyonaga;Kamil Detyniecki;Ming‐Kai Chen

  • A single-center, open-label positron emission tomography study to evaluate brivaracetam and levetiracetam synaptic vesicle glycoprotein 2A binding in healthy volunteers.

    Sjoerd J. Finnema;Samantha Rossano;Mika Naganawa;Shannan Henry

Frequent Co-Authors

Richard E. Carson
Richard E. Carson Yale University
Yiyun Huang
Yiyun Huang Yale University
Nabeel Nabulsi
Nabeel Nabulsi Yale University
Jean-Dominique Gallezot
Jean-Dominique Gallezot Yale University
Christopher H. van Dyck
Christopher H. van Dyck Yale University
Kenji Ishii
Kenji Ishii Nippon Medical School
Amy F.T. Arnsten
Amy F.T. Arnsten Yale University
Keiichi Oda
Keiichi Oda Hokkaido University of Science
Gary W. Cline
Gary W. Cline Yale University
Alexander Neumeister
Alexander Neumeister Independent Scientist / Consultant, US

External Links

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Best Scientists Citing Mika Naganawa

Richard E. Carson

Richard E. Carson

Yale University

Publications: 55

James B. Rowe

James B. Rowe

University of Cambridge

Publications: 33

Yiyun Huang

Yiyun Huang

Yale University

Publications: 28

Rudi Dierckx

Rudi Dierckx

University Medical Center Groningen

Publications: 21

Nabeel Nabulsi

Nabeel Nabulsi

Yale University

Publications: 20

David J. Brooks

David J. Brooks

Newcastle University

Publications: 17

Kenji Hashimoto

Kenji Hashimoto

Chiba University

Publications: 17

Roger N. Gunn

Roger N. Gunn

Imperial College London

Publications: 15

Oliver D. Howes

Oliver D. Howes

King's College London

Publications: 13

Federico E. Turkheimer

Federico E. Turkheimer

King's College London

Publications: 13

Ronald Boellaard

Ronald Boellaard

Amsterdam UMC

Publications: 12

Kaj Blennow

Kaj Blennow

University of Gothenburg

Publications: 12

Eugenii A. Rabiner

Eugenii A. Rabiner

King's College London

Publications: 12

Kenji Ishii

Kenji Ishii

Nippon Medical School

Publications: 12

John T. O'Brien

John T. O'Brien

University of Cambridge

Publications: 11

Jean-Dominique Gallezot

Jean-Dominique Gallezot

Yale University

Publications: 11

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