Samuel S.‐H. Wang

11.5k citations
76 papers · 5.4k indexed · 3 hit papers · h-index 36
Topics
Neuroscience and Neuropharmacology Research (32 papers)Vestibular and auditory disorders (19 papers)Neural dynamics and brain function (15 papers)

In The Last Decade

Samuel S.‐H. Wang

74 papers receiving 5.3k citations

Hit Papers

The Cerebellum, Sensitive Periods, an...1999202620082017201419992018100200300400500

Peers

Samuel S.‐H. Wang
Comparison fields: 5 of 163
  • Cellular and Molecular Neuroscience 2.4k
  • Cognitive Neuroscience 2.0k
  • Molecular Biology 1.4k
  • Neurology 1.1k
  • Materials Chemistry 531
Replace Troy W. Margrie with:
Troy W. Margrie United Kingdom
Peyman Golshani United States
Michael Brecht Germany
Thomas D. Mrsic‐Flogel United Kingdom
Daniel A. Dombeck United States
Esther A. Nimchinsky United States
Floris G. Wouterlood Netherlands
Ulf T. Eysel Germany
Michael C. Crair United States
John F. Guzowski United States
Samuel S.‐H. Wang relative to Troy W. Margrie United Kingdom Troy W. Margrie's profile →
Citations per field
00.5×10×15×20×23.1×
Troy W. Margrie · 1×
Citations per year

Countries citing papers authored by Samuel S.‐H. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Samuel S.‐H. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel S.‐H. Wang. 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 Samuel S.‐H. Wang. The network helps show where Samuel S.‐H. Wang may publish in the future.

Co-authorship network of co-authors of Samuel S.‐H. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel S.‐H. Wang. A scholar is included among the top collaborators of Samuel S.‐H. Wang 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 Samuel S.‐H. Wang. Samuel S.‐H. Wang 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 4
2 2
3 1
4 17
5 5
6 67
7
Laboratories of Democracy Reform: State Constitutions and Partisan Gerrymandering
0
8 3
9 16
10 3
11 85
12 30
13 69
14 7
15 111
16 58
17 94
18 194
19 130
20 3

About Samuel S.‐H. Wang

Samuel S.‐H. Wang is a scholar working on Neurology, Cellular and Molecular Neuroscience and Sensory Systems, having authored 76 papers that have together received 5.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (32 papers), Vestibular and auditory disorders (19 papers) and Neural dynamics and brain function (15 papers). The work is most often cited by research in Neurology (1.1k citations), Cellular and Molecular Neuroscience (2.4k citations) and Sensory Systems (506 citations). Samuel S.‐H. Wang has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Aleksandra Badura, Alexander D. Kloth, Gayle Wittenberg, Winfried Denk, Michael Häusser, Daniel H. O’Connor, Mikhail Kislin, Dmitry V. Sarkisov, Talmo Pereira and George J Augustine. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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