Eric H. Wang

779 citations
8 papers · 481 · h-index 8

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Transcranial Magnetic Stimulation Studies
    • Photoreceptor and optogenetics research
    • Neuroscience and Neural Engineering
    • Neuroscience and Neuropharmacology Research

Papers in

Eric H. Wang

8 papers receiving 479 citations

Peers

Eric H. Wang
Comparison fields: 5 of 78
  • Neurology 127
  • Cellular and Molecular Neuroscience 182
  • Pharmacology 73
  • Developmental Neuroscience 29
  • Rehabilitation 31
Replace Michela Zattoni with:
Michela Zattoni Switzerland
Daniel Smerin United States
Shu‐Hui Chu United States
Jenny Yu Canada
Javier María Peralta Ramos Argentina
Yuqian Li China
TaeHee Kim United States
Shangzhou Xia United States
Xin Ding China
Eric H. Wang relative to Michela Zattoni Switzerland Michela Zattoni's profile →
Citations per field
00.5×10.3×
Michela Zattoni · 1×
Citations per year

Countries citing papers authored by Eric H. Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eric H. Wang Line = papers co-authored together Eric H. Wang links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2014170
2 2001149
3 201765
4 201838
5 201918
6 201417
7 202015
8 20009

About Eric H. Wang

Eric H. Wang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Infectious Diseases and Virology, having authored 8 papers that have together received 481 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (4 papers), Neuroscience and Neural Engineering (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Neural dynamics and brain function (2 papers), HIV Research and Treatment (1 paper), Prostate Cancer Treatment and Research (1 paper), Advanced Statistical Process Monitoring (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Neurology (127 citations), Cellular and Molecular Neuroscience (182 citations), Pharmacology (73 citations), Developmental Neuroscience (29 citations) and Rehabilitation (31 citations). Eric H. Wang has collaborated with scholars based in United States, Russia and Japan. Frequent co-authors include Michelle Cheng, Gary K. Steinberg, Barry M. Forman, Isabelle Dussault, Timothy W. Synold, Min Lin, Guohua Sun, Alex G. Lee, Stephanie Wang and Lief E. Fenno. Their work appears in journals such as ACS Chemical Neuroscience, Journal of Translational Medicine, Scientific Reports, Translational Stroke Research and Journal of Biological Chemistry.

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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