World's Best Scientists 2026 revealed!
Erik Stålberg

Erik Stålberg

D-Index & Metrics

Neuroscience

D-Index
77
Citations
18207
World Ranking
1866
National Ranking
33

Erik Stålberg 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 Erik Stålberg 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: 400 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Erik Stålberg 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 Erik Stålberg 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: 77 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Erik Stålberg is affiliated with Uppsala University in Sweden, with a research focus spanning Medicine, Engineering, and Neuroscience. Their work broadly covers biomedical engineering and neurology, with notable contributions in cellular and molecular neuroscience as well as genetics and cognitive neuroscience.

The main topics of Stålberg's research include:

  • Muscle activation and electromyography studies
  • Neuroscience and neural engineering
  • Myasthenia gravis and thymoma
  • Neurogenetic and muscular disorders research
  • Amyotrophic lateral sclerosis research
  • Neurological disorders and treatments
  • Electrical and bioimpedance tomography

Frequent co-authors collaborating with Stålberg include:

  • Sanjeev D. Nandedkar
  • Paul E. Barkhaus
  • Mamede de Carvalho
  • Donald B. Sanders
  • Masahiro Sonoo

Stålberg's publications have appeared mainly in the following venues:

  • Muscle & Nerve
  • Clinical Neurophysiology
  • Clinical Neurophysiology Practice
  • Scientific Reports
  • IEEE Access

Among the recent papers authored or co-authored by Stålberg are:

  • "Identification of single motor units in skeletal muscle under low force isometric voluntary contractions using ultrafast ultrasound" (2020, Scientific Reports)
  • "A Method for Identification of Mechanical Response of Motor Units in Skeletal Muscle Voluntary Contractions Using Ultrafast Ultrasound Imaging-Simulations and Experimental Tests" (2020, IEEE Access)
  • "Revisiting the compound muscle action potential (CMAP)" (2024, Clinical Neurophysiology Practice)
  • "Single fiber electromyography and measuring jitter with concentric needle electrodes" (2022, Muscle & Nerve)
  • "Neurogenic vs. Myogenic Origin of Acquired Muscle Paralysis in Intensive Care Unit (ICU) Patients: Evaluation of Different Diagnostic Methods" (2020, Diagnostics)

The research conducted by Stålberg integrates engineering techniques with clinical neurology to explore muscle physiology, neural engineering, and diagnostic methodologies. Their work involves advanced imaging techniques such as ultrafast ultrasound to assess motor unit behavior and muscle responses under various conditions.

Stålberg's contributions enrich areas concerning the diagnosis and understanding of neurological and muscular disorders, with frequent emphasis on electromyography and muscle activation studies. The breadth of their interdisciplinary research enhances knowledge relevant to diseases like myasthenia gravis and amyotrophic lateral sclerosis, reflecting a blend of engineering approaches in medical sciences.

Best Publications

  • Propagation velocity in human muscle fibers in situ

    Stalberg E

  • Single fibre electromyography

    Erik Stålberg

  • Macro EMG in healthy subjects of different ages.

    E Stålberg;P R Fawcett

  • Quantitative analysis of individual motor unit potentials: a proposition for standardized terminology and criteria for measurement.

    Erik Stålberg;Steen Andreassen;Björn Falck;Heikki Lang

  • Macro EMG, a new recording technique.

    E Stålberg

  • Quantitative Motor Unit Potential Analysis

    Erik Stålberg;Sanjeev D. Nandedkar;Donald B. Sanders;Björn Falck

  • AAEM minimonograph #25: Single‐fiber electromyography

    Donald B. Sanders;Erik V. Stålberg

  • Motor unit number index (MUNIX): principle, method, and findings in healthy subjects and in patients with motor neuron disease†

    Sanjeev D. Nandedkar;Paul E. Barkhaus;Erik V. StÅlberg

  • Multi-MUP EMG analysis--a two year experience in daily clinical work.

    E. Stålberg;B. Falck;M. Sonoo;S. Stålberg

  • Early diabetic neuropathy: thermal thresholds and intraepidermal nerve fibre density in patients with normal nerve conduction studies

    Sissel Løseth;Erik V. Stålberg;Rolf Jorde;Svein Ivar Mellgren

  • Standards for quantification of EMG and neurography.

    Erik Stålberg;Hans van Dijk;Björn Falck;Jun Kimura

  • Reference values of motor unit action potentials obtained with multi-MUAP analysis

    Christian Bischoff;Erik Stålberg;Björn Falck;Karin Edebol Eeg-Olofsson

  • Electrophysiological cross section of the motor unit.

    E Stålberg;L Antoni

  • Simulation of concentric needle EMG motor unit action potentials

    Sanjeev D. Nandedkar;Donald B. Sanders;Erik V. Stälberg;Steen Andreassen

  • Analysis of amplitude and area of concentric needle EMG motor unit action potentials

    Sanjeev D. Nandedkar;Paul E. Barkhaus;Donald B. Sanders;Erik V. Stålberg

  • The ability of MUP parameters to discriminate between normal and neurogenic MUPs in concentric EMG: analysis of the MUP “thickness” and the proposal of “size index”

    Masahiro Sonoo;Erik Stålberg

  • Automatic analysis of the EMG interference pattern

    E Stålberg;J Chu;V Bril;S Nandedkar

  • Motor unit fibre density in the extensor digitorum communis muscle. Single fibre electromyographic study in normal subjects at different ages.

    E. Stalberg;Barbara Thiele

  • Assessment of variability in the shape of the motor unit action potential, the “jiggle,” at consecutive discharges

    Erik V. Stålberg;Masahiro Sonoo

  • Standards of instrumentation of EMG.

    Hatice Tankisi;David Burke;Liying Cui;Mamede de Carvalho

  • F-wave latency, the most sensitive nerve conduction parameter in patients with diabetes mellitus.

    Henning Andersen;Erik Stålberg;Björn Falck

  • Simulation of macro EMG motor unit potentials

    Sanjeev Nandedkar;Erik Stålberg

  • SFEMG in ocular myasthenia gravis diagnosis

    Luca Padua;Erik Stalberg;Mauro LoMonaco;Amelia Evoli

Frequent Co-Authors

Dick F. Stegeman
Dick F. Stegeman Radboud University
Yngve Olsson
Yngve Olsson Uppsala University
Mamede de Carvalho
Mamede de Carvalho University of Lisbon
Paolo Maria Rossini
Paolo Maria Rossini Catholic University of the Sacred Heart
Anders Oldfors
Anders Oldfors University of Gothenburg
François Mauguière
François Mauguière Claude Bernard University Lyon 1
Hiroshi Shibasaki
Hiroshi Shibasaki Kyoto University
Simone Rossi
Simone Rossi University of Siena
Alessandro Rossi
Alessandro Rossi University of L'Aquila

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