Sarah S. Wang

1.3k citations
13 papers · 765 indexed · 1 hit paper · h-index 12
Topics
Neurological disorders and treatments (6 papers)EEG and Brain-Computer Interfaces (3 papers)Parkinson's Disease Mechanisms and Treatments (3 papers)

In The Last Decade

Sarah S. Wang

13 papers receiving 755 citations

Hit Papers

Long-term wireless streaming of neural recordings for cir...2021202620222024202150100150

Peers

Sarah S. Wang
Comparison fields: 5 of 60
  • Cellular and Molecular Neuroscience 478
  • Neurology 447
  • Cognitive Neuroscience 368
  • Neurology 109
  • Sensory Systems 52
Replace Ian O. Bledsoe with:
Ian O. Bledsoe United States
Mareike Fauser Germany
Gabriella Panuccio Italy
Valeria Elisa Contarino Italy
Aurélie Watilliaux France
Annelies Van Dycke Belgium
Roberta Morace Italy
María‐José Martí Spain
Katherine R. Brimblecombe United Kingdom
Hans-Otto Karnath Germany
Sarah S. Wang relative to Ian O. Bledsoe United States Ian O. Bledsoe's profile →
Citations per field
00.5×10×
Ian O. Bledsoe · 1×
Citations per year

Countries citing papers authored by Sarah S. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sarah S. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah S. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah S. Wang. A scholar is included among the top collaborators of Sarah S. 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 Sarah S. Wang. Sarah S. Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 11
2 11
3 8
4 16
5
Long-term wireless streaming of neural recordings for circuit discovery and adaptive stimulation in individuals with Parkinson’s diseasebreakdown →
192
6 33
7 23
8 19
9 18
10 96
11 227
12 21
13 90

About Sarah S. Wang

Sarah S. Wang is a scholar working on Cognitive Neuroscience, Neurology and Sensory Systems, having authored 13 papers that have together received 765 indexed citations. Recurring topics across this work include Neurological disorders and treatments (6 papers), EEG and Brain-Computer Interfaces (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Neurology (447 citations), Cellular and Molecular Neuroscience (478 citations) and Cognitive Neuroscience (368 citations). Sarah S. Wang has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Philip A. Starr, Jill L. Ostrem, Marta San Luciano, Coralie de Hemptinne, Svjetlana Miocinovic, Nicole C. Swann, Nathan Ziman, Salman E. Qasim, Nicholas B. Galifianakis and Jeffrey S. Taube. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Biotechnology.

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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