William Shain

9.1k citations
129 papers · 7.3k indexed · 1 hit paper · h-index 44

William Shain

128 papers receiving 7.1k citations

Hit Papers

Brain responses to micro-machined silicon devices6452003202620102018200400600

Peers

William Shain
Comparison fields: 5 of 152
  • Cellular and Molecular Neuroscience 4.1k
  • Cognitive Neuroscience 1.6k
  • Biophysics 423
  • Developmental Neuroscience 286
  • Neurology 542
Replace James N. Turner with:
James N. Turner United States
Bianxiao Cui United States
Ichiji Tasaki United States
Gregory J. Brewer United States
Hajime Takano Japan
Fabio Benfenati Italy
Guenter W. Gross United States
Daryl R. Kipke United States
Micha E. Spira Israel
Joseph J. Pancrazio United States
William Shain relative to James N. Turner United States James N. Turner's profile →
Citations per field
00.5×1.5×2.2×
James N. Turner · 1×
Citations per year

Countries citing papers authored by William Shain

Since Specialization
Citations

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

Fields of papers citing papers by William Shain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside William Shain, 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 William Shain Line = papers co-authored together William Shain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201512
2 2012128
3 2012406
4 201173
5 200933
6 2008225
7 200819
8 200730
9 200774
10 2007334
11 200681
12
Brain responses to micro-machined silicon devicesbreakdown →
2003645
13 2000144
14 1999479
15 199771
16 199321
17 199110
18 1991212
19 198918
20 198111

About William Shain

William Shain is a scholar working on Cellular and Molecular Neuroscience, Biophysics, Developmental Neuroscience, Neurology and Cell Biology, having authored 129 papers that have together received 7.3k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (38 papers), 3D Printing in Biomedical Research (19 papers), Cell Image Analysis Techniques (17 papers), Neuroscience and Neuropharmacology Research (17 papers), Aldose Reductase and Taurine (13 papers), Photoreceptor and optogenetics research (11 papers), Ion channel regulation and function (11 papers) and EEG and Brain-Computer Interfaces (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.1k citations), Cognitive Neuroscience (1.6k citations), Biophysics (423 citations), Developmental Neuroscience (286 citations) and Neurology (542 citations). William Shain has collaborated with scholars based in United States and South Korea. Frequent co-authors include James N. Turner, M. Isaacson, Daryl R. Kipke, Gregory J. Gage, Donald H. Szarowski, Harold G. Craighead, Maja Dam Andersen, Scott T. Retterer, Matthew R. Hynd and Lance C. Kam. Their work appears in journals such as Journal of Neural Engineering, Microscopy and Microanalysis, Journal of Neuroscience, Brain Research and Journal of Cellular Physiology.

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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