Guangyan Wu
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Neurology top 10%
- Vestibular and auditory disorders
Papers in
-
- Neuroscience and Neuropharmacology Research 13
- Photoreceptor and optogenetics research 5
-
- Memory and Neural Mechanisms 11
- Sleep and Wakefulness Research 6
- Co-authors
- Juan Yao (20 shared papers)Jian-feng Sui (17 shared papers)Bing Wu (13 shared papers)Shulei Liu (8 shared papers)Hongli Li (6 shared papers)Yi Yang (7 shared papers)Huizhong Wen (7 shared papers)Xuan Li (5 shared papers)
- Journals
- Behavioural Brain Research (7 papers)Neuroscience Bulletin (3 papers)PLoS ONE (2 papers)Cerebral Cortex (2 papers)iScience (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Guangyan Wu
48 papers receiving 486 citations
Peers
Comparison fields: 5 of 76
- Behavioral Neuroscience 52
- Neurology 105
- Cellular and Molecular Neuroscience 151
- Dermatology 67
- Developmental Neuroscience 26
Countries citing papers authored by Guangyan Wu
This map shows the geographic impact of Guangyan Wu'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 Guangyan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangyan Wu more than expected).
Fields of papers citing papers by Guangyan Wu
This network shows the impact of papers produced by Guangyan Wu. 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 Guangyan Wu. The network helps show where Guangyan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guangyan Wu, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 38 | |
| 2 | 2023 | 33 | |
| 3 | 2012 | 26 | |
| 4 | 2013 | 24 | |
| 5 | As2O3 induces apoptosis of the human B lymphoma cell line MBC-1. | 2000 | 22 |
| 6 | 2020 | 20 | |
| 7 | 2022 | 18 | |
| 8 | 2017 | 18 | |
| 9 | 2020 | 18 | |
| 10 | 2021 | 17 | |
| 11 | 2021 | 17 | |
| 12 | 2022 | 16 | |
| 13 | 2018 | 14 | |
| 14 | 2015 | 14 | |
| 15 | 2017 | 14 | |
| 16 | 2012 | 13 | |
| 17 | 2019 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2022 | 10 | |
| 20 | 2023 | 9 |
About Guangyan Wu
Guangyan Wu is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Dermatology and Pulmonary and Respiratory Medicine, having authored 50 papers that have together received 488 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Memory and Neural Mechanisms (11 papers), Dermatology and Skin Diseases (7 papers), Sleep and Wakefulness Research (6 papers), Stress Responses and Cortisol (6 papers), Photoreceptor and optogenetics research (5 papers), Olfactory and Sensory Function Studies (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Behavioral Neuroscience (52 citations), Neurology (105 citations), Cellular and Molecular Neuroscience (151 citations), Dermatology (67 citations) and Developmental Neuroscience (26 citations). Guangyan Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Juan Yao, Jian-feng Sui, Bing Wu, Shulei Liu, Hongli Li, Yi Yang, Huizhong Wen, Xuan Li, Hua Feng and Qiyan Cai. Their work appears in journals such as Behavioural Brain Research, Neuroscience Bulletin, PLoS ONE, Cerebral Cortex and iScience.
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.