Feng Gu
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neuropharmacology Research
Papers in
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- Neuroscience and Neuropharmacology Research 10
- Nerve injury and regeneration 3
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- Ion channel regulation and function 4
- Co-authors
- David A. Prince (10 shared papers)Isabel Parada (9 shared papers)Jokūbas Žiburkus (3 shared papers)Anupam Hazra (2 shared papers)Suzhen Dong (1 shared paper)Jason L. Eriksen (1 shared paper)Yinghe Hu (1 shared paper)Yale Duan (1 shared paper)
- Journals
- Neurobiology of Disease (6 papers)Experimental Neurology (2 papers)Advanced Science (1 paper)PLoS ONE (1 paper)Progress in brain research (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Feng Gu
26 papers receiving 488 citations
Peers
Comparison fields: 5 of 69
- Developmental Neuroscience 50
- Cellular and Molecular Neuroscience 204
- Neurology 78
- Psychiatry and Mental health 87
- Physiology 100
Countries citing papers authored by Feng Gu
This map shows the geographic impact of Feng Gu'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 Feng Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Gu more than expected).
Fields of papers citing papers by Feng Gu
This network shows the impact of papers produced by Feng Gu. 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 Feng Gu. The network helps show where Feng Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 96 | |
| 2 | 2013 | 68 | |
| 3 | 2012 | 57 | |
| 4 | 2017 | 55 | |
| 5 | 2017 | 29 | |
| 6 | 2017 | 29 | |
| 7 | 2018 | 26 | |
| 8 | 2017 | 23 | |
| 9 | 2009 | 21 | |
| 10 | 2014 | 18 | |
| 11 | 2016 | 13 | |
| 12 | 2016 | 11 | |
| 13 | [Protection of liver sinusoidal endothelial cells from hypoxia-reoxygenation induced apoptosis by alpha-1 antitrypsin in vitro]. | 2005 | 10 |
| 14 | 2022 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2008 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2012 | 2 |
About Feng Gu
Feng Gu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Psychiatry and Mental health, Physiology and Developmental Neuroscience, having authored 26 papers that have together received 493 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Epilepsy research and treatment (4 papers), Ion channel regulation and function (4 papers), Nerve injury and regeneration (3 papers), Alzheimer's disease research and treatments (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Barrier Structure and Function Studies (2 papers) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Developmental Neuroscience (50 citations), Cellular and Molecular Neuroscience (204 citations), Neurology (78 citations), Psychiatry and Mental health (87 citations) and Physiology (100 citations). Feng Gu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include David A. Prince, Isabel Parada, Jokūbas Žiburkus, Anupam Hazra, Suzhen Dong, Jason L. Eriksen, Yinghe Hu, Yale Duan, Tao Yang and Frank M. Longo. Their work appears in journals such as Neurobiology of Disease, Experimental Neurology, Advanced Science, PLoS ONE and Progress in brain 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.