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D-Index & Metrics

Neuroscience

D-Index
53
Citations
10240
World Ranking
5106
National Ranking
2281

Niels Bergsland 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 Niels Bergsland 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: 427 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Niels Bergsland 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 Niels Bergsland 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: 53 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Niels Bergsland is affiliated with the University at Buffalo, State University of New York in the United States. Their research primarily focuses on the field of Medicine, with significant contributions to subfields including Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Neurology, Molecular Biology, and Rheumatology. The scientist's work spans various topics such as Multiple Sclerosis Research Studies, Advanced Neuroimaging Techniques and Applications, Systemic Lupus Erythematosus Research, Advanced MRI Techniques and Applications, Peripheral Neuropathies and Disorders, Functional Brain Connectivity Studies, and RNA regulation and disease.

They have published extensively in journals that cover neurological and imaging sciences. Frequent publication venues include:

  • Neurology
  • Multiple Sclerosis and Related Disorders
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Journal of Neurology
  • Frontiers in Neurology

Niels Bergsland's recent papers illustrate focused research in multiple sclerosis and neuroimaging. Notable publications include:

  • Association of Choroid Plexus Inflammation on MRI With Clinical Disability Progression Over 5 Years in Patients With Multiple Sclerosis, 2022, Neurology
  • Neurofilament levels are associated with blood-brain barrier integrity, lymphocyte extravasation, and risk factors following the first demyelinating event in multiple sclerosis, 2020, Multiple Sclerosis Journal
  • Decreasing brain iron in multiple sclerosis: The difference between concentration and content in iron MRI, 2020, Human Brain Mapping
  • Evolution of Brain Volume Loss Rates in Early Stages of Multiple Sclerosis, 2021, Neurology Neuroimmunology & Neuroinflammation
  • Deep learning for automatic segmentation of thigh and leg muscles, 2021, Magnetic Resonance Materials in Physics Biology and Medicine

The scientist frequently collaborates with several researchers, with whom they have coauthored a considerable number of publications. These collaborators include:

  • Robert Zivadinov
  • Michael G. Dwyer
  • Dejan Jakimovski
  • Bianca Weinstock-Guttman
  • Ferdinand Schweser

The core areas covered in their work emphasize the study of multiple sclerosis, particularly through advanced neuroimaging and MRI techniques. Their research integrates clinical and imaging data to explore disease progression and pathological mechanisms such as blood-brain barrier integrity, brain iron changes, and inflammation. This multidisciplinary approach situates them at the nexus of neurological research and medical imaging technology.

Best Publications

  • Basal ganglia, thalamus and neocortical atrophy predicting slowed cognitive processing in multiple sclerosis

    Sonia Batista;Robert Zivadinov;Marietta Hoogs;Niels Bergsland

  • Serum lipid profiles are associated with disability and MRI outcomes in multiple sclerosis

    Bianca Weinstock-Guttman;Robert Zivadinov;Naeem Mahfooz;Ellen Carl

  • Abnormal subcortical deep-gray matter susceptibility-weighted imaging filtered phase measurements in patients with multiple sclerosis: A case-control study

    Robert Zivadinov;Mari Heininen-Brown;Claudiu V. Schirda;Guy U. Poloni

  • Brain atrophy and disability progression in multiple sclerosis patients: a 10-year follow-up study

    Cecilie Jacobsen;Jesper Hagemeier;Kjell Morten Myhr;Harald Nyland

  • Thalamic atrophy is associated with development of clinically definite multiple sclerosis

    Robert Zivadinov;Eva Havrdová;Niels Bergsland;Michaela Tyblova

  • Subcortical and Cortical Gray Matter Atrophy in a Large Sample of Patients with Clinically Isolated Syndrome and Early Relapsing-Remitting Multiple Sclerosis

    N. Bergsland;D. Horakova;M. G. Dwyer;O. Dolezal

  • Cardiovascular risk factors are associated with increased lesion burden and brain atrophy in multiple sclerosis

    Natalie Kappus;Bianca Weinstock-Guttman;Jesper Hagemeier;Cheryl Kennedy

  • Clinical relevance of brain atrophy assessment in multiple sclerosis. Implications for its use in a clinical routine

    Robert Zivadinov;Dejan Jakimovski;Sirin Gandhi;Rahil Ahmed

  • The severity of chronic cerebrospinal venous insufficiency in patients with multiple sclerosis is related to altered cerebrospinal fluid dynamics.

    Paolo Zamboni;Erica Menegatti;Bianca Weinstock-Guttman;Claudiu V. Schirda

  • Lipid profiles are associated with lesion formation over 24 months in interferon-β treated patients following the first demyelinating event

    Bianca Weinstock-Guttman;Robert Zivadinov;Dana Horakova;Eva Havrdova

  • Localized atrophy of the thalamus and slowed cognitive processing speed in MS patients

    Niels Bergsland;Robert Zivadinov;Michael G. Dwyer;Bianca Weinstock-Guttman

  • Clinical significance of atrophy and white matter mean diffusivity within the thalamus of multiple sclerosis patients

    Ralph H B Benedict;Hanneke E. Hulst;Niels Bergsland;Menno M. Schoonheim

  • Chronic cerebrospinal venous insufficiency and iron deposition on susceptibility-weighted imaging in patients with multiple sclerosis: a pilot case-control study.

    R Zivadinov;C Schirda;M G Dwyer;M E Haacke

  • Evolution of cortical and thalamus atrophy and disability progression in early relapsing-remitting MS during 5 years.

    R. Zivadinov;N. Bergsland;O. Dolezal;S. Hussein

  • Brain Iron at Quantitative MRI Is Associated with Disability in Multiple Sclerosis.

    Robert Zivadinov;Eleonora Tavazzi;Niels Bergsland;Jesper Hagemeier

  • Leptomeningeal contrast enhancement is associated with progression of cortical atrophy in MS: A retrospective, pilot, observational longitudinal study.

    Robert Zivadinov;Deepa P Ramasamy;Manuela Vaneckova;Sirin Gandhi

  • Vitamin D metabolites are associated with clinical and MRI outcomes in multiple sclerosis patients

    Bianca Weinstock-Guttman;Robert Zivadinov;Jun Qu;Diane Cookfair

  • Hypoperfusion of brain parenchyma is associated with the severity of chronic cerebrospinal venous insufficiency in patients with multiple sclerosis: a cross-sectional preliminary report

    Paolo Zamboni;Erica Menegatti;Bianca Weinstock-Guttman;Michael G Dwyer

  • Verbal memory is associated with structural hippocampal changes in newly diagnosed Parkinson's disease

    Mona K Beyer;Kolbjorn S Bronnick;Kristy S Hwang;Niels Bergsland

  • Gray matter atrophy and disability progression in patients with early relapsing-remitting multiple sclerosis: a 5-year longitudinal study.

    Dana Horakova;Michael G. Dwyer;Eva Havrdova;Jennifer L. Cox

  • Evolution of different MRI measures in patients with active relapsing-remitting multiple sclerosis over 2 and 5 years: a case–control study

    Dana Horakova;Jennifer L Cox;Eva Havrdova;Sara Hussein

Frequent Co-Authors

Robert Zivadinov
Robert Zivadinov University at Buffalo, State University of New York
Michael G. Dwyer
Michael G. Dwyer University at Buffalo, State University of New York
Bianca Weinstock-Guttman
Bianca Weinstock-Guttman University at Buffalo, State University of New York
Ralph H.B. Benedict
Ralph H.B. Benedict University at Buffalo, State University of New York
Eva Havrdova
Eva Havrdova Charles University
Mario Clerici
Mario Clerici University of Milan
Marco Rovaris
Marco Rovaris University of Milan
Francesco Bernardi
Francesco Bernardi University of Ferrara
Tanuja Chitnis
Tanuja Chitnis Harvard University
David W. Shucard
David W. Shucard University at Buffalo, State University of New York

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