Eric H. Wang
Impact in
- Neurology top 5%
- Transcranial Magnetic Stimulation Studies
- Neurological disorders and treatments
- Neuroinflammation and Neurodegeneration Mechanisms
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- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
Papers in
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- Photoreceptor and optogenetics research 3
- Neuroscience and Neural Engineering 2
- Genetic Neurodegenerative Diseases 1
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- Neurological disorders and treatments 1
- Co-authors
- Michelle Cheng (4 shared papers)Gary Kenneth Steinberg (4 shared papers)Guo Hua Sun (2 shared papers)Min Lin (1 shared paper)BARRY MARC FORMAN (1 shared paper)Isabelle Dussault (1 shared paper)Timothy W. Synold (1 shared paper)Alex G. Lee (2 shared papers)
- Journals
- Stroke (1 paper)Journal of Biological Chemistry (1 paper)Translational Stroke Research (1 paper)Journal of Chemical Information and Modeling (1 paper)International Journal of Production Research (1 paper)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Eric H. Wang
8 papers receiving 607 citations
Peers
Comparison fields: 5 of 76
- Neurology 179
- Cellular and Molecular Neuroscience 200
- Pharmacology 71
- Developmental Neuroscience 22
- Neurology 77
Countries citing papers authored by Eric H. Wang
This map shows the geographic impact of Eric 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 Eric 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 Eric H. Wang more than expected).
Fields of papers citing papers by Eric H. Wang
This network shows the impact of papers produced by Eric 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 Eric H. Wang. The network helps show where Eric H. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric H. Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 184 | |
| 2 | 2001 | 159 | |
| 3 | 2019 | 116 | |
| 4 | 2017 | 73 | |
| 5 | 2018 | 39 | |
| 6 | 2019 | 19 | |
| 7 | 2020 | 15 | |
| 8 | 2000 | 9 | |
| 9 | 2026 | 0 |
About Eric H. Wang
Eric H. Wang is a scholar working on Cellular and Molecular Neuroscience, Neurology, Cognitive Neuroscience, Virology and Rehabilitation, having authored 9 papers that have together received 614 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (3 papers), Neuroscience and Neural Engineering (2 papers), Neural dynamics and brain function (2 papers), Advanced Statistical Process Monitoring (1 paper), Industrial Vision Systems and Defect Detection (1 paper), Neurological disorders and treatments (1 paper), Genetic Neurodegenerative Diseases (1 paper) and Stroke Rehabilitation and Recovery (1 paper). The work is most often cited by research in Neurology (179 citations), Cellular and Molecular Neuroscience (200 citations), Pharmacology (71 citations), Developmental Neuroscience (22 citations) and Neurology (77 citations). Eric H. Wang has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Michelle Cheng, Gary Kenneth Steinberg, Guo Hua Sun, Min Lin, BARRY MARC FORMAN, Isabelle Dussault, Timothy W. Synold, Alex G. Lee, Stephanie Wang and Lief E. Fenno. Their work appears in journals such as Stroke, Journal of Biological Chemistry, Translational Stroke Research, Journal of Chemical Information and Modeling and International Journal of Production Research.
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.