David Liebetanz

18.5k citations
89 papers · 10.5k indexed · 7 hit papers · h-index 37
Topics
Transcranial Magnetic Stimulation Studies (42 papers)Muscle activation and electromyography studies (21 papers)Neuroscience and Neural Engineering (16 papers)

In The Last Decade

David Liebetanz

87 papers receiving 10.4k citations

Hit Papers

Pharmacological Modulation of Cortical Excitability Shift...2002202620102018200320022015200320122505007501000

Peers

David Liebetanz
Comparison fields: 5 of 131
  • Neurology 8.6k
  • Cognitive Neuroscience 5.1k
  • Cellular and Molecular Neuroscience 2.0k
  • Biomedical Engineering 2.0k
  • Neurology 1.2k
Replace Ying‐Zu Huang with:
Ying‐Zu Huang Taiwan
Joseph Claßen Germany
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David Liebetanz relative to Ying‐Zu Huang Taiwan Ying‐Zu Huang's profile →
Citations per field
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Citations per year

Countries citing papers authored by David Liebetanz

Since Specialization
Citations

This map shows the geographic impact of David Liebetanz'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 David Liebetanz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Liebetanz more than expected).

Fields of papers citing papers by David Liebetanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Liebetanz. 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 David Liebetanz. The network helps show where David Liebetanz may publish in the future.

Co-authorship network of co-authors of David Liebetanz

This figure shows the co-authorship network connecting the top 25 collaborators of David Liebetanz. A scholar is included among the top collaborators of David Liebetanz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Liebetanz. David Liebetanz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 36
2 3
3 9
4 13
5 1
6 60
7
A technical guide to tDCS, and related non-invasive brain stimulation toolsbreakdown →
962
8 2
9 3
10 7
11 34
12 142
13 60
14 61
15
Modulating parameters of excitability during and after transcranial direct current stimulation of the human motor cortexbreakdown →
590
16 107
17 8
18 52
19 498
20
Pharmacological approach to the mechanisms of transcranial DC-stimulation-induced after-effects of human motor cortex excitabilitybreakdown →
1079

About David Liebetanz

David Liebetanz is a scholar working on Neurology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 89 papers that have together received 10.5k indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (42 papers), Muscle activation and electromyography studies (21 papers) and Neuroscience and Neural Engineering (16 papers). The work is most often cited by research in Neurology (8.6k citations), Cognitive Neuroscience (5.1k citations) and Anesthesiology and Pain Medicine (859 citations). David Liebetanz has collaborated with scholars based in Germany, United States and Brazil. Frequent co-authors include Walter Paulus, Michael A. Nitsche, Frithjof Tergau, Nicolas Lang, Andrea Antal, Min‐Fang Kuo, Kátia Monte‐Silva, K. Fricke, S. Henning and Cornelia Exner. Their work appears in journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

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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