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Neuroscience

D-Index
35
Citations
5643
World Ranking
9161
National Ranking
172

Kina Höglund 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 Kina Höglund 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: 96 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Kina Höglund 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 Kina Höglund 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: 35 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

Kina Höglund is affiliated with Sahlgrenska University Hospital in Sweden. Their research primarily spans the fields of Medicine, Neuroscience, and Biochemistry, Genetics and Molecular Biology. They have contributed significantly to subfields including Physiology, Psychiatry and Mental Health, Neurology, Molecular Biology, and Cellular and Molecular Neuroscience.

Their scholarly work extensively covers topics such as Alzheimer's disease research and treatments, dementia and cognitive impairment research, functional brain connectivity studies, neuroinflammation and neurodegeneration mechanisms, neuroscience and neuropharmacology research, S100 proteins and annexins, as well as acute ischemic stroke management.

Kina Höglund has authored and co-authored several papers published in respected venues. Notable recent publications include:

  • Blood phosphorylated tau 181 as a biomarker for Alzheimer's disease: a diagnostic performance and prediction modelling study using data from four prospective cohorts (2020, The Lancet Neurology)
  • An update on blood-based biomarkers for non-Alzheimer neurodegenerative disorders (2020, Nature Reviews Neurology)
  • Dissection of synaptic pathways through the CSF biomarkers for predicting Alzheimer disease (2020, Neurology)
  • Neurofilaments can differentiate ALS subgroups and ALS from common diagnostic mimics (2021, Scientific Reports)
  • Plasma phospho-tau217 for Alzheimer's disease diagnosis in primary and secondary care using a fully automated platform (2025, Nature Medicine)

Their frequent co-authors include Henrik Zetterberg, Kaj Blennow, Nicholas J. Ashton, Thomas K. Karikari, and Andréa Lessa Benedet.

Publishing mainly in Alzheimer's & Dementia, Nature Medicine, Journal of Alzheimer's Disease, The Lancet Neurology, and Nature Reviews Neurology, Kina Höglund's research focuses on elucidating underlying biological mechanisms connected to neurodegenerative conditions and improving biomarkers for diagnosis and prognosis.

Best Publications

  • Blood phosphorylated tau 181 as a biomarker for Alzheimer's disease: a diagnostic performance and prediction modelling study using data from four prospective cohorts.

    Thomas K. Karikari;Tharick A. Pascoal;Tharick A. Pascoal;Nicholas J. Ashton;Shorena Janelidze

  • Association of Cerebrospinal Fluid Neurofilament Light Protein Levels With Cognition in Patients With Dementia, Motor Neuron Disease, and Movement Disorders

    Bob Olsson;Bob Olsson;Erik Portelius;Erik Portelius;Nicholas C. Cullen;Nicholas C. Cullen;Åsa Sandelius

  • Cerebrospinal fluid neurogranin concentration in neurodegeneration: relation to clinical phenotypes and neuropathology

    Erik Portelius;Erik Portelius;Bob Olsson;Bob Olsson;Kina Höglund;Kina Höglund;Nicholas C. Cullen

  • Synaptic proteins predict cognitive decline in Alzheimer's disease and Lewy body dementia.

    Erika Bereczki;Paul T. Francis;David R. Howlett;Joana B. Pereira

  • Marked increase of β-amyloid (1–42) and amyloid precursor protein in ventricular cerebrospinal fluid after severe traumatic brain injury

    Annika Olsson;Ludvig Csajbok;Martin Öst;Kina Höglund

  • Increased plasma neurofilament light chain concentration correlates with severity of post-mortem neurofibrillary tangle pathology and neurodegeneration

    Nicholas J. Ashton;Antoine Leuzy;Yau Mun Lim;Yau Mun Lim;Claire Troakes;Claire Troakes

  • Measurement of alpha- and beta-secretase cleaved amyloid precursor protein in cerebrospinal fluid from Alzheimer patients.

    Annika Olsson;Kina Höglund;Magnus Sjögren;Niels Andreasen

  • A new enzyme-linked immunosorbent assay for neurofilament light in cerebrospinal fluid: analytical validation and clinical evaluation

    Lorenzo Gaetani;Kina Höglund;Kina Höglund;Lucilla Parnetti;Fani Pujol-Calderon

  • An update on blood-based biomarkers for non-Alzheimer neurodegenerative disorders

    Nicholas J. Ashton;Abdul Hye;Abdul Hye;Anto P. Rajkumar;Anto P. Rajkumar;Anto P. Rajkumar;Antoine Leuzy

  • Novel tau fragments in cerebrospinal fluid: relation to tangle pathology and cognitive decline in Alzheimer's disease.

    Claudia Cicognola;Gunnar Brinkmalm;Jessica Wahlgren;Erik Portelius;Erik Portelius

  • Microglial Markers are Elevated in the Prodromal Phase of Alzheimer's Disease and Vascular Dementia

    Bob Olsson;Joakim Hertze;Ronald Lautner;Henrik Zetterberg

  • Plasma Levels of β-Amyloid(1-40), β-Amyloid(1-42), and Total β-Amyloid Remain Unaffected in Adult Patients With Hypercholesterolemia After Treatment With Statins

    Kina Höglund;Olov Wiklund;Hugo Vanderstichele;Oliver Eikenberg

  • Prevalence of preclinical Alzheimer disease: Comparison of current classification systems.

    Silke Kern;Henrik Zetterberg;Jürgen Kern;Anna Zettergren

  • Neurochemical Aftermath of Repetitive Mild Traumatic Brain Injury.

    Pashtun Shahim;Yelverton Tegner;Bengt Gustafsson;Magnus Gren

  • The Effect of Simvastatin Treatment on the Amyloid Precursor Protein and Brain Cholesterol Metabolism in Patients with Alzheimer’s Disease

    K. Höglund;K.M. Thelen;S. Syversen;M. Sjögren

  • Cerebrospinal fluid tau fragment correlates with tau PET: a candidate biomarker for tangle pathology

    Kaj Blennow;Kaj Blennow;Chun Chen;Claudia Cicognola;Kristin R Wildsmith

  • Characterization of Tau in Cerebrospinal Fluid Using Mass Spectrometry

    Erik Portelius;Sara F. Hansson;Ai Jun Tran;Henrik Zetterberg

  • Effect of HMG-CoA reductase inhibitors on beta-amyloid peptide levels: implications for Alzheimer's disease.

    Kina Höglund;Kaj Blennow

  • Dissection of synaptic pathways through the CSF biomarkers for predicting Alzheimer disease.

    Marion Tible;Åsa Sandelius;Åsa Sandelius;Kina Höglund;Kina Höglund;Ann Brinkmalm;Ann Brinkmalm

  • Preclinical amyloid pathology biomarker positivity: effects on tau pathology and neurodegeneration.

    K Höglund;S Kern;S Kern;A Zettergren;A Zettergren;A Börjesson-Hansson;A Börjesson-Hansson

  • The intact postsynaptic protein neurogranin is reduced in brain tissue from patients with familial and sporadic Alzheimer’s disease

    Hlin Kvartsberg;Tammaryn Lashley;Christina E. Murray;Gunnar Brinkmalm

  • Commentary: Global, regional, and national burden of neurological disorders during 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015.

    Thomas K. Karikari;Augustina Charway-Felli;Kina Höglund;Kaj Blennow;Kaj Blennow

Frequent Co-Authors

Kaj Blennow
Kaj Blennow University of Gothenburg
Henrik Zetterberg
Henrik Zetterberg University of Gothenburg
Erik Portelius
Erik Portelius Sahlgrenska University Hospital
Dag Aarsland
Dag Aarsland King's College London
Oskar Hansson
Oskar Hansson Lund University
Michael Schöll
Michael Schöll University of Gothenburg
Ulf Andreasson
Ulf Andreasson University of Gothenburg
Keqiang Ye
Keqiang Ye Shenzhen Institutes of Advanced Technology
Niels Andreasen
Niels Andreasen Karolinska University Hospital

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