Eric Wang

448 citations
3 papers · 304 · h-index 3

Impact in

Papers in

    • Gene Regulatory Network Analysis 1
    • Pluripotent Stem Cells Research 1
    • Bioinformatics and Genomic Networks 1
    • 3D Printing in Biomedical Research 2
    • Innovative Microfluidic and Catalytic Techniques Innovation 1

Eric Wang

3 papers receiving 296 citations

Peers

Eric Wang
Comparison fields: 5 of 59
  • Psychiatry and Mental health 83
  • Cognitive Neuroscience 75
  • Cellular and Molecular Neuroscience 71
  • Experimental and Cognitive Psychology 47
  • Clinical Psychology 59
Replace Antonina Pereira with:
Antonina Pereira United Kingdom
J-J Hottenga Netherlands
Anne Uhlmann South Africa
Emily Dunn United States
Darko Turic United Kingdom
Linzy Hill United Kingdom
Fabienne Giuliani Switzerland
Samir Datta United States
Giampiero Arciero Italy
Anna Maria Werling Switzerland
Eric Wang relative to Antonina Pereira United Kingdom Antonina Pereira's profile →
Citations per field
00.5×1.5×1.8×
Antonina Pereira · 1×
Citations per year

Countries citing papers authored by Eric Wang

Since Specialization
Citations

This map shows the geographic impact of Eric 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 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 Wang more than expected).

Fields of papers citing papers by Eric Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Eric 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 Wang Line = papers co-authored together Eric Wang links everyone, so they are left out of the graph.

All Works

About Eric Wang

Eric Wang is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, Cell Biology and Genetics, having authored 3 papers that have together received 304 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (2 papers), Neuroscience and Neural Engineering (1 paper), Evolution and Genetic Dynamics (1 paper), Gene Regulatory Network Analysis (1 paper), Pluripotent Stem Cells Research (1 paper), Bioinformatics and Genomic Networks (1 paper), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Cellular Mechanics and Interactions (1 paper). The work is most often cited by research in Psychiatry and Mental health (83 citations), Cognitive Neuroscience (75 citations), Cellular and Molecular Neuroscience (71 citations), Experimental and Cognitive Psychology (47 citations) and Clinical Psychology (59 citations). Eric Wang has collaborated with scholars based in United States. Frequent co-authors include Kenneth K. Kídd, James M. Swanson, Oliver A. Ryder, Pamela Flodman, J.R. Kidd, Deborah Grady, M. Anne Spence, Robert K. Moyzis, Quinton Smith and Tania Singh. Their work appears in journals such as Biomicrofluidics, The American Journal of Human Genetics and Journal of Cell Science.

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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