Xukui Wang
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Neuroscience and Neuropharmacology Research 4
- Genetic Neurodegenerative Diseases 3
-
- Hedgehog Signaling Pathway Studies 2
- Receptor Mechanisms and Signaling 2
- Co-authors
- Anna‐Liisa Brownell (9 shared papers)Meixiang Yu (9 shared papers)Aijun Zhu (4 shared papers)Yanchao Bai (7 shared papers)Chuanhui Gu (5 shared papers)Yuhua Shan (5 shared papers)Ke Feng (3 shared papers)Francesca Cicchetti (3 shared papers)
- Journals
- Land Degradation and Development (2 papers)Neurosurgery (1 paper)NeuroMolecular Medicine (1 paper)Contrast Media & Molecular Imaging (1 paper)Energy Science & Engineering (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xukui Wang
25 papers receiving 564 citations
Peers
Comparison fields: 5 of 95
- Developmental Neuroscience 41
- Industrial and Manufacturing Engineering 60
- Cellular and Molecular Neuroscience 119
- Pollution 75
- Soil Science 58
Countries citing papers authored by Xukui Wang
This map shows the geographic impact of Xukui Wang'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 Xukui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xukui Wang more than expected).
Fields of papers citing papers by Xukui Wang
This network shows the impact of papers produced by Xukui Wang. 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 Xukui Wang. The network helps show where Xukui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xukui Wang, 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 | 2016 | 87 | |
| 2 | 2005 | 62 | |
| 3 | 2005 | 37 | |
| 4 | 2013 | 36 | |
| 5 | 2007 | 32 | |
| 6 | 2016 | 31 | |
| 7 | 2010 | 29 | |
| 8 | 2009 | 28 | |
| 9 | 2012 | 28 | |
| 10 | 2004 | 27 | |
| 11 | 2006 | 27 | |
| 12 | 2008 | 25 | |
| 13 | 2010 | 23 | |
| 14 | 2007 | 20 | |
| 15 | 2007 | 17 | |
| 16 | 2018 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 2018 | 11 | |
| 19 | 2014 | 9 | |
| 20 | 2021 | 7 |
About Xukui Wang
Xukui Wang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pollution, Industrial and Manufacturing Engineering and Soil Science, having authored 26 papers that have together received 573 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Heavy metals in environment (4 papers), Genetic Neurodegenerative Diseases (3 papers), Phosphorus and nutrient management (3 papers), Soil Carbon and Nitrogen Dynamics (3 papers), Clay minerals and soil interactions (2 papers), Hedgehog Signaling Pathway Studies (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Developmental Neuroscience (41 citations), Industrial and Manufacturing Engineering (60 citations), Cellular and Molecular Neuroscience (119 citations), Pollution (75 citations) and Soil Science (58 citations). Xukui Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Anna‐Liisa Brownell, Meixiang Yu, Aijun Zhu, Yanchao Bai, Chuanhui Gu, Yuhua Shan, Ke Feng, Francesca Cicchetti, Laurie J. Minze and Hongbo Shao. Their work appears in journals such as Land Degradation and Development, Neurosurgery, NeuroMolecular Medicine, Contrast Media & Molecular Imaging and Energy Science & Engineering.
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.