Daniel Kernell

7.2k citations
103 papers · 5.8k indexed · h-index 46

Daniel Kernell

102 papers receiving 5.4k citations

Peers

Daniel Kernell
Comparison fields: 5 of 131
  • Neurology 1.1k
  • Cellular and Molecular Neuroscience 2.5k
  • Cognitive Neuroscience 2.4k
  • Biomedical Engineering 3.2k
  • Orthopedics and Sports Medicine 495
Replace R. E. Burke with:
R. E. Burke United States
Elwood Henneman United States
Douglas G. Stuart United States
P. Rudomín Mexico
F.J.R. Richmond Canada
Rosamond M. Eccles Australia
P A Merton United Kingdom
Raǵnar Granit Sweden
Richard B. Stein Canada
James C. Houk United States
Daniel Kernell relative to R. E. Burke United States R. E. Burke's profile →
Citations per field
00.5×1.5×1.8×
R. E. Burke · 1×
Citations per year

Countries citing papers authored by Daniel Kernell

Since Specialization
Citations

This map shows the geographic impact of Daniel Kernell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Kernell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kernell more than expected).

Fields of papers citing papers by Daniel Kernell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Kernell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Kernell. The network helps show where Daniel Kernell may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Daniel Kernell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Kernell Line = papers co-authored together Daniel Kernell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200854
2 200335
3 20031
4 20024
5 2002137
6 200135
7 200014
8 20002
9 200043
10 199933
11 199831
12 199815
13 199869
14 199762
15 19968
16 199516
17 199420
18 199216
19 199184
20 196928

About Daniel Kernell

Daniel Kernell is a scholar working on Cellular and Molecular Neuroscience, Neurology, Cognitive Neuroscience, Biomedical Engineering and Orthopedics and Sports Medicine, having authored 103 papers that have together received 5.8k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (70 papers), Neuroscience and Neural Engineering (49 papers), Transcranial Magnetic Stimulation Studies (18 papers), Motor Control and Adaptation (17 papers), Neural dynamics and brain function (16 papers), Muscle Physiology and Disorders (10 papers), Ion channel regulation and function (10 papers) and Neuroscience and Neuropharmacology Research (9 papers). The work is most often cited by research in Neurology (1.1k citations), Cellular and Molecular Neuroscience (2.5k citations), Cognitive Neuroscience (2.4k citations), Biomedical Engineering (3.2k citations) and Orthopedics and Sports Medicine (495 citations). Daniel Kernell has collaborated with scholars based in Netherlands, Sweden and Italy. Frequent co-authors include Otto Eerbeek, Raǵnar Granit, Inge Zijdewind, A. W. Monster, Yvonne Donselaar, H. Hultborn, Rob Bakels, George K. Shortess, J. F. M. Clough and C. G. Phillips. Their work appears in journals such as The Journal of Physiology, Brain Research, Experimental Brain Research, Muscle & Nerve and Journal of Neurophysiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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