Webster Guan
Impact in
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Fungal and yeast genetics research 1
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- 3D Printing in Biomedical Research 2
- Co-authors
- Kwanghun Chung (4 shared papers)Scarlett J. Barker (1 shared paper)Abigail L. Paulson (1 shared paper)Gabrielle T Drummond (1 shared paper)Jennie Z. Young (1 shared paper)Vamsi Mangena (1 shared paper)Oleg Kritskiy (1 shared paper)Li-Huei Tsai (1 shared paper)
- Journals
- Cell (2 papers)Nature Methods (1 paper)The FASEB Journal (1 paper)Chemistry of Materials (1 paper)Nature Reviews Methods Primers (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Webster Guan
6 papers receiving 742 citations
Webster Guan's Hit Papers
Peers
Comparison fields: 5 of 91
- Biophysics 117
- Neurology 120
- Cellular and Molecular Neuroscience 225
- Cognitive Neuroscience 198
- Structural Biology 11
Countries citing papers authored by Webster Guan
This map shows the geographic impact of Webster Guan'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 Webster Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Webster Guan more than expected).
Fields of papers citing papers by Webster Guan
This network shows the impact of papers produced by Webster Guan. 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 Webster Guan. The network helps show where Webster Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Webster Guan, 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 | Multi-sensory Gamma Stimulation Ameliorates Alzheimer’s-Associated Pathology and Improves Cognition Hit paper breakdown → | 2019 | 492 |
| 2 | 2021 | 99 | |
| 3 | 2021 | 68 | |
| 4 | 2020 | 61 | |
| 5 | 2016 | 27 | |
| 6 | 2015 | 2 | |
| 7 | 2024 | 0 |
About Webster Guan
Webster Guan is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 7 papers that have together received 749 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (2 papers), Magnetic and transport properties of perovskites and related materials (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper), Advancements in Solid Oxide Fuel Cells (1 paper), Electronic and Structural Properties of Oxides (1 paper), Fungal and yeast genetics research (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Biophysics (117 citations), Neurology (120 citations), Cellular and Molecular Neuroscience (225 citations), Cognitive Neuroscience (198 citations) and Structural Biology (11 citations). Webster Guan has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Kwanghun Chung, Scarlett J. Barker, Abigail L. Paulson, Gabrielle T Drummond, Jennie Z. Young, Vamsi Mangena, Oleg Kritskiy, Li-Huei Tsai, Fatema Abdurrob and Annabelle C. Singer. Their work appears in journals such as Cell, Nature Methods, The FASEB Journal, Chemistry of Materials and Nature Reviews Methods Primers.
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.