2026 Erik Stålberg: Neuroscience Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Neuroscience	77	1866	1702	33	32	400	18207

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Neuroscience

1866

1702

400

18207

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

426
Citations
Single fibre electromyography

Erik Stålberg

338
Citations
Macro EMG in healthy subjects of different ages.

E Stålberg;P R Fawcett

337
Citations
Quantitative analysis of individual motor unit potentials: a proposition for standardized terminology and criteria for measurement.

Erik Stålberg;Steen Andreassen;Björn Falck;Heikki Lang

325
Citations
Macro EMG, a new recording technique.

E Stålberg

322
Citations
Quantitative Motor Unit Potential Analysis

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

309
Citations
AAEM minimonograph #25: Single‐fiber electromyography

Donald B. Sanders;Erik V. Stålberg

287
Citations
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

247
Citations
Multi-MUP EMG analysis--a two year experience in daily clinical work.

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

245
Citations
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

238
Citations
Standards for quantification of EMG and neurography.

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

238
Citations
Reference values of motor unit action potentials obtained with multi-MUAP analysis

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

237
Citations
Electrophysiological cross section of the motor unit.

E Stålberg;L Antoni

235
Citations
Simulation of concentric needle EMG motor unit action potentials

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

225
Citations
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

221
Citations
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

212
Citations
Automatic analysis of the EMG interference pattern

E Stålberg;J Chu;V Bril;S Nandedkar

211
Citations
Motor unit fibre density in the extensor digitorum communis muscle. Single fibre electromyographic study in normal subjects at different ages.

E. Stalberg;Barbara Thiele

207
Citations
Assessment of variability in the shape of the motor unit action potential, the “jiggle,” at consecutive discharges

Erik V. Stålberg;Masahiro Sonoo

201
Citations
Standards of instrumentation of EMG.

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

183
Citations
F-wave latency, the most sensitive nerve conduction parameter in patients with diabetes mellitus.

Henning Andersen;Erik Stålberg;Björn Falck

181
Citations
Simulation of macro EMG motor unit potentials

Sanjeev Nandedkar;Erik Stålberg

178
Citations
SFEMG in ocular myasthenia gravis diagnosis

Luca Padua;Erik Stalberg;Mauro LoMonaco;Amelia Evoli

175
Citations