World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
68
Citations
15737
World Ranking
2761
National Ranking
69

Kim Q. Do 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 Q. Do 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: 245 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Kim Q. Do 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 Q. Do 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

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Enzyme
  • Gene

Kim Q. Do focuses on Neuroscience, Oxidative stress, Schizophrenia, Glutathione and Internal medicine. As a part of the same scientific family, he mostly works in the field of Neuroscience, focusing on Reactive oxygen species and, on occasion, Extracellular, Oxidative phosphorylation, Inhibitory postsynaptic potential, Intracellular and Superoxide dismutase. The study incorporates disciplines such as Psychosis, Prefrontal cortex, GABAergic and Disease in addition to Schizophrenia.

His study with Glutathione involves better knowledge in Biochemistry. The Internal medicine study combines topics in areas such as Acetylcysteine and Endocrinology. His Endocrinology research integrates issues from NMDA receptor, Long-term potentiation and Synaptic plasticity.

His most cited work include:

  • Schizophrenia: glutathione deficit in cerebrospinal fluid and prefrontal cortex in vivo. (419 citations)
  • N-acetyl cysteine as a glutathione precursor for schizophrenia--a double-blind, randomized, placebo-controlled trial. (399 citations)
  • Murine brain macrophages induce NMDA receptor mediated neurotoxicity in vitro by secreting glutamate (387 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Neuroscience, Schizophrenia, Glutathione, Oxidative stress and Internal medicine. In his research on the topic of Neuroscience, Homocysteic acid is strongly related with NMDA receptor. His research in Schizophrenia intersects with topics in Acetylcysteine, White matter, Psychosis and Pathophysiology.

His study in the field of GCLC is also linked to topics like Ascorbic acid. His research integrates issues of Hippocampal formation, Neuroinflammation, Disease, Redox and Web of science in his study of Oxidative stress. His study focuses on the intersection of Internal medicine and fields such as Endocrinology with connections in the field of GCLM.

He most often published in these fields:

  • Neuroscience (35.44%)
  • Schizophrenia (25.74%)
  • Glutathione (23.21%)

What were the highlights of his more recent work (between 2016-2021)?

  • Neuroscience (35.44%)
  • Schizophrenia (25.74%)
  • Psychosis (14.77%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Neuroscience, Schizophrenia, Psychosis, Oxidative stress and Internal medicine. His research in Neuroscience focuses on subjects like Schizophrenia, which are connected to Face, Cognitive psychology and Brain development. His Schizophrenia research is multidisciplinary, incorporating elements of Acetylcysteine and Pathophysiology.

The concepts of his Oxidative stress study are interwoven with issues in NMDA receptor, Neuroinflammation, Glutathione and Cell biology. His Glutathione study integrates concerns from other disciplines, such as Biomarker and Pharmacology. His Internal medicine research includes elements of White matter, Fractional anisotropy, Endocrinology and Oncology.

Between 2016 and 2021, his most popular works were:

  • Oxidative stress-driven parvalbumin interneuron impairment as a common mechanism in models of schizophrenia. (133 citations)
  • Nrf2-dependent persistent oxidative stress results in stress-induced vulnerability to depression (68 citations)
  • N-acetylcysteine in a Double-Blind Randomized Placebo-Controlled Trial: Toward Biomarker-Guided Treatment in Early Psychosis. (64 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Enzyme
  • Gene

His scientific interests lie mostly in Oxidative stress, Schizophrenia, Neuroscience, Psychosis and Internal medicine. His research integrates issues of Neuroinflammation, Glutathione, Endogeny and Cell biology in his study of Oxidative stress. His Schizophrenia research is multidisciplinary, relying on both Acetylcysteine and Evoked potential.

His biological study spans a wide range of topics, including Glutamate receptor, NMDA receptor and Microglia. Kim Q. Do has researched Psychosis in several fields, including Mismatch negativity, Sensory system, Audiology and Contingent negative variation. His studies deal with areas such as Fractional anisotropy, Endocrinology and Psychopharmacology as well as Internal medicine.

Best Publications

  • N-acetyl cysteine as a glutathione precursor for schizophrenia--a double-blind, randomized, placebo-controlled trial.

    Michael Berk;David Leon Copolov;David Leon Copolov;Olivia Dean;Olivia Dean;Kristy Lu

  • Schizophrenia: glutathione deficit in cerebrospinal fluid and prefrontal cortex in vivo.

    K. Q. Do;A. H. Trabesinger;M. Kirsten-Krüger;C. J. Lauer

  • Perineuronal nets protect fast-spiking interneurons against oxidative stress

    Jan-Harry Cabungcal;Pascal Steullet;Hirofumi Morishita;Rudolf Kraftsik

  • Murine brain macrophages induce NMDA receptor mediated neurotoxicity in vitro by secreting glutamate

    Daniela Piani;Karl Frei;Kim Quang Do;Michel Cuénod

  • Mapping the human connectome at multiple scales with diffusion spectrum MRI.

    Leila Cammoun;Xavier Gigandet;Djalel Eddine Meskaldji;Jean-Philippe Thiran

  • Redox dysregulation, neurodevelopment, and schizophrenia

    Kim Q Do;Jan H Cabungcal;Anita Frank;Pascal Steullet

  • Glutathione precursor, N-acetyl-cysteine, improves mismatch negativity in schizophrenia patients.

    Suzie Lavoie;Micah M Murray;Patricia Deppen;Maria G Knyazeva

  • Prevention of Psychosis: Advances in Detection, Prognosis, and Intervention

    Paolo Fusar-Poli;Gonzalo Salazar de Pablo;Gonzalo Salazar de Pablo;Christoph U. Correll;Andreas Meyer-Lindenberg

  • Oxidative stress-driven parvalbumin interneuron impairment as a common mechanism in models of schizophrenia.

    P Steullet;J H Cabungcal;J Coyle;M Didriksen

  • Impaired glutathione synthesis in schizophrenia: Convergent genetic and functional evidence

    René Gysin;Rudolf Kraftsik;Julie Sandell;Pierre Bovet

  • Linking early-life NMDAR hypofunction and oxidative stress in schizophrenia pathogenesis

    Giles E. Hardingham;Kim Q. Do

  • Early-life insults impair parvalbumin interneurons via oxidative stress: reversal by N-acetylcysteine.

    Jan-Harry Cabungcal;Pascal Steullet;Rudolf Kraftsik;Michel Cuenod

  • Redox Dysregulation Affects the Ventral But Not Dorsal Hippocampus: Impairment of Parvalbumin Neurons, Gamma Oscillations, and Related Behaviors

    Pascal Steullet;Jan-Harry Cabungcal;Anita Kulak;Rudolf Kraftsik

  • Schizophrenia and Oxidative Stress: Glutamate Cysteine Ligase Modifier as a Susceptibility Gene

    Mirjana Tosic;Jurg Ott;Sandra Barral;Pierre Bovet

  • Redox dysregulation, neuroinflammation, and NMDA receptor hypofunction: A “central hub” in schizophrenia pathophysiology?

    P. Steullet;J.H. Cabungcal;A. Monin;D. Dwir

  • Nrf2-dependent persistent oxidative stress results in stress-induced vulnerability to depression

    Bouvier E;Bouvier E;Bouvier E;Brouillard F;Brouillard F;Molet J;Molet J;Molet J;Claverie D

  • S-nitrosoglutathione in rat cerebellum: identification and quantification by liquid chromatography-mass spectrometry.

    Ina Kluge;Ursula Gutteck-Amsler;Markus Zollinger;Kim Quang Do

  • Synaptic plasticity impairment and hypofunction of NMDA receptors induced by glutathione deficit: relevance to schizophrenia.

    P. Steullet;H.C. Neijt;M. Cuénod;K.Q. Do

  • TORC1 is a calcium- and cAMP-sensitive coincidence detector involved in hippocampal long-term synaptic plasticity

    Krisztián A. Kovács;Pascal Steullet;Myriam Steinmann;Kim Q. Do

  • In vitro release of endogenous excitatory sulfur-containing amino acids from various rat brain regions

    Kim Quang Do;Marianne Mattenberger;Peter Streit;Michel Cuénod

  • Tau accumulation in astrocytes of the dentate gyrus induces neuronal dysfunction and memory deficits in Alzheimer's disease.

    Kevin Richetin;Pascal Steullet;Mathieu Pachoud;Romain Perbet

Frequent Co-Authors

Michel Cuenod
Michel Cuenod University of Lausanne
Patric Hagmann
Patric Hagmann University of Lausanne
Rolf Gruetter
Rolf Gruetter École Polytechnique Fédérale de Lausanne
Jean-Philippe Thiran
Jean-Philippe Thiran École Polytechnique Fédérale de Lausanne
Peter Streit
Peter Streit University of Zurich
Robert Schwyzer
Robert Schwyzer École Polytechnique Fédérale de Lausanne
Maria G. Knyazeva
Maria G. Knyazeva University of Lausanne
Reto Meuli
Reto Meuli University of Lausanne
Pierre J. Magistretti
Pierre J. Magistretti École Polytechnique Fédérale de Lausanne
Takao K. Hensch
Takao K. Hensch Harvard University

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