Alexander D. Tang

1.0k citations
27 papers · 710 indexed · h-index 15
Topics
Transcranial Magnetic Stimulation Studies (20 papers)Muscle activation and electromyography studies (8 papers)Neural dynamics and brain function (6 papers)

In The Last Decade

Alexander D. Tang

25 papers receiving 707 citations

Peers

Alexander D. Tang
Comparison fields: 5 of 55
  • Neurology 502
  • Cognitive Neuroscience 292
  • Cellular and Molecular Neuroscience 268
  • Biomedical Engineering 116
  • Developmental Neuroscience 83
Replace Alia Benali with:
Alia Benali Germany
Javier Márquez‐Ruiz Spain
Annika Mix Germany
R. Jarrett Rushmore United States
Esther Sydekum Switzerland
JH Kaas United States
Raudel Sánchez‐Campusano Spain
Robert N. Holdefer United States
Katherine W. Scangos United States
Gábor Kozák Hungary
Alexander D. Tang relative to Alia Benali Germany Alia Benali's profile →
Citations per field
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Alia Benali · 1×
Citations per year

Countries citing papers authored by Alexander D. Tang

Since Specialization
Citations

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

Fields of papers citing papers by Alexander D. Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander D. Tang. 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 Alexander D. Tang. The network helps show where Alexander D. Tang may publish in the future.

Co-authorship network of co-authors of Alexander D. Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander D. Tang. A scholar is included among the top collaborators of Alexander D. Tang 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 Alexander D. Tang. Alexander D. Tang 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 1
2 3
3 0
4 3
5 12
6 1
7 14
8 31
9 57
10 27
11 28
12 16
13 70
14 45
15 13
16 31
17 0
18 20
19 24
20 64

About Alexander D. Tang

Alexander D. Tang is a scholar working on Neurology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 710 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (20 papers), Muscle activation and electromyography studies (8 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Neurology (502 citations), Developmental Neuroscience (83 citations) and Cognitive Neuroscience (292 citations). Alexander D. Tang has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Jennifer Rodger, Gary W. Thickbroom, Kaylene M. Young, Carlie L. Cullen, Loic Auderset, Andrew Garrett, Mark R. Hinder, John N. J. Reynolds, Jeffery J. Summers and Michael I. Garry. Their work appears in journals such as Circulation, PLoS ONE and NeuroImage.

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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