Xiaoyuan Guo
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms 3
- Genetics top 10%
- Neurology top 10%
- Plant Science top 10%
- Polysaccharides and Plant Cell Walls 6
- Plant Molecular Biology Research 6
- Research in Cotton Cultivation 3
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- Advanced Cellulose Research Studies 4
- Nanoparticle-Based Drug Delivery 3
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- Textile materials and evaluations 3
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- Stroke Rehabilitation and Recovery 2
- Co-authors
- Lukui ChenGuilong ZhangYuchun GuWilliam G. T. WillatsXin‐Qiang ZhengJian‐Hui YeYue‐Rong LiangAhsan Ali Khan
- Journals
- Scientific Reports (2 papers)Journal of Biomedical Nanotechnology (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- ChinaDenmarkUnited Kingdom
In The Last Decade
Xiaoyuan Guo
46 papers receiving 764 citations
Peers
Comparison fields: 5 of 117
- Developmental Neuroscience 57
- Genetics 113
- Neurology 74
- Plant Science 234
- Biochemistry 33
Countries citing papers authored by Xiaoyuan Guo
This map shows the geographic impact of Xiaoyuan Guo'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 Xiaoyuan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyuan Guo more than expected).
Fields of papers citing papers by Xiaoyuan Guo
This network shows the impact of papers produced by Xiaoyuan Guo. 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 Xiaoyuan Guo. The network helps show where Xiaoyuan Guo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoyuan Guo, 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 | 2024 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 3 | |
| 5 | 2020 | 64 | |
| 6 | OSacc: Gene Expression-Based Survival Analysis Web Tool For Adrenocortical Carcinoma | 2019 | 1 |
| 7 | 2019 | 8 | |
| 8 | 2019 | 9 | |
| 9 | 2019 | 19 | |
| 10 | 2018 | 22 | |
| 11 | 2018 | 31 | |
| 12 | 2017 | 35 | |
| 13 | 2017 | 15 | |
| 14 | 2017 | 11 | |
| 15 | 2016 | 2 | |
| 16 | Detection of Phenolic Acids in Crop Straw Decomposed Liquid and Their Effect on Pathogen of Northern Leaf Blight of Corn | 2016 | 1 |
| 17 | 2016 | 12 | |
| 18 | 2015 | 31 | |
| 19 | 2014 | 13 | |
| 20 | FRICTION AND WEAR PROPERTIES OF PPESK COMPOSITES | 2001 | 2 |
About Xiaoyuan Guo
Xiaoyuan Guo is a scholar working on Developmental Neuroscience, Biomaterials and Neurology, having authored 49 papers that have together received 772 indexed citations. Recurring topics across this work include Polysaccharides and Plant Cell Walls (6 papers), Plant Molecular Biology Research (6 papers), Advanced Cellulose Research Studies (4 papers), Research in Cotton Cultivation (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Textile materials and evaluations (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Stroke Rehabilitation and Recovery (2 papers). The work is most often cited by research in Developmental Neuroscience (57 citations), Genetics (113 citations) and Neurology (74 citations). Xiaoyuan Guo has collaborated with scholars based in China, Denmark and United Kingdom. Frequent co-authors include Lukui Chen, Guilong Zhang, Yuchun Gu, William G. T. Willats, Xin‐Qiang Zheng, Jian‐Hui Ye, Yue‐Rong Liang, Ahsan Ali Khan, Ying Ye and Hong Wang. Their work appears in journals such as Scientific Reports, Journal of Biomedical Nanotechnology, International Journal of Molecular Sciences, Plant and Cell Physiology and PLoS ONE.
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.