Gui Su
Impact in
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- Neuroscience and Neuropharmacology Research
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research
Papers in
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- Neuroscience and Neuropharmacology Research 6
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- Proteoglycans and glycosaminoglycans research 3
- Co-authors
- Dandan Sun (6 shared papers)Andreas Friedl (6 shared papers)Douglas B. Kintner (4 shared papers)Dianhua Qiao (3 shared papers)Gary E. Shull (2 shared papers)Stacy A. Blaine (2 shared papers)David J. Beebe (3 shared papers)Michael Flagella (1 shared paper)
- Journals
- American Journal of Physiology-Cell Physiology (4 papers)Journal of Neurophysiology (2 papers)Integrative Biology (1 paper)Cancer Research (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesCzechia
In The Last Decade
Gui Su
12 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 87
- Cellular and Molecular Neuroscience 353
- Cell Biology 250
- Neurology 120
- Developmental Neuroscience 44
- Molecular Biology 558
Countries citing papers authored by Gui Su
This map shows the geographic impact of Gui Su'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 Gui Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gui Su more than expected).
Fields of papers citing papers by Gui Su
This network shows the impact of papers produced by Gui Su. 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 Gui Su. The network helps show where Gui Su may publish in the future.
Co-authors
The 24 scholars most cited alongside Gui Su, 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 | 2002 | 154 | |
| 2 | 2009 | 134 | |
| 3 | 2006 | 132 | |
| 4 | 2002 | 126 | |
| 5 | 2004 | 121 | |
| 6 | 2007 | 101 | |
| 7 | 2000 | 66 | |
| 8 | 2008 | 62 | |
| 9 | 2001 | 54 | |
| 10 | 2010 | 43 | |
| 11 | 2012 | 37 | |
| 12 | 2003 | 32 |
About Gui Su
Gui Su is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology, Immunology and Allergy and Biomaterials, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ion channel regulation and function (6 papers), Ion Transport and Channel Regulation (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Fibroblast Growth Factor Research (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Glycosylation and Glycoproteins Research (2 papers), 3D Printing in Biomedical Research (2 papers) and Microfluidic and Bio-sensing Technologies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (353 citations), Cell Biology (250 citations), Neurology (120 citations), Developmental Neuroscience (44 citations) and Molecular Biology (558 citations). Gui Su has collaborated with scholars based in United States and Czechia. Frequent co-authors include Dandan Sun, Andreas Friedl, Douglas B. Kintner, Dianhua Qiao, Gary E. Shull, Stacy A. Blaine, David J. Beebe, Michael Flagella, Robert A. Haworth and Kyung Eun Sung. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Journal of Neurophysiology, Integrative Biology, Cancer 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.