Feng Gu

640 citations
26 papers · 488 · h-index 12

Impact in

Papers in

Feng Gu

26 papers receiving 483 citations

Peers

Feng Gu
Comparison fields: 5 of 70
  • Developmental Neuroscience 53
  • Cellular and Molecular Neuroscience 209
  • Neurology 84
  • Psychiatry and Mental health 90
  • Physiology 105
Replace Taeko Inoue with:
Taeko Inoue United States
Lourdes Lorigados Pedré Cuba
Allyson Alexander United States
María Florencia Angelo Argentina
Hui‐Chul Choi South Korea
Yaron David Israel
Robbert G. E. Notenboom Netherlands
Roser Corominas Spain
Hong‐Ki Song South Korea
Feng Gu relative to Taeko Inoue United States Taeko Inoue's profile →
Citations per field
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Citations per year

Countries citing papers authored by Feng Gu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201795
2 201368
3 201258
4 201755
5 201729
6 201728
7 201826
8 201723
9 200920
10 201418
11 201613
12 201611
13
[Protection of liver sinusoidal endothelial cells from hypoxia-reoxygenation induced apoptosis by alpha-1 antitrypsin in vitro].
200510
14 20228
15 20197
16 20204
17 20083
18 20252
19 20252
20 20122

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 488 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Ion channel regulation and function (5 papers), Epilepsy research and treatment (4 papers), Nerve injury and regeneration (3 papers), Alzheimer's disease research and treatments (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Memory and Neural Mechanisms (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). The work is most often cited by research in Developmental Neuroscience (53 citations), Cellular and Molecular Neuroscience (209 citations), Neurology (84 citations), Psychiatry and Mental health (90 citations) and Physiology (105 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, Yale Duan, Yinghe Hu, Suzhen Dong, Jason L. Eriksen, Tao Yang and Frank M. Longo. Their work appears in journals such as Neurobiology of Disease, Experimental Neurology, Scientific Reports, Advanced Science 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.

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