Xiaoni Wang
Impact in
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
Papers in
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- Dementia and Cognitive Impairment Research 18
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- Molecular Sensors and Ion Detection 7
- Co-authors
- Ying Han (17 shared papers)Yujing Zuo (8 shared papers)Can Sheng (11 shared papers)Weiying Lin (7 shared papers)Yu Sun (11 shared papers)Zhiming Gou (6 shared papers)Ni Shu (2 shared papers)Xiaochen Hu (3 shared papers)
- Journals
- Journal of Alzheimer s Disease (6 papers)Sensors and Actuators B Chemical (3 papers)Chemical Science (3 papers)Frontiers in Aging Neuroscience (3 papers)Alzheimer s & Dementia (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaoni Wang
57 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Psychiatry and Mental health 421
- Cognitive Neuroscience 249
- Spectroscopy 121
- Biochemistry 40
- Neurology 25
Countries citing papers authored by Xiaoni Wang
This map shows the geographic impact of Xiaoni 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 Xiaoni Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoni Wang more than expected).
Fields of papers citing papers by Xiaoni Wang
This network shows the impact of papers produced by Xiaoni 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 Xiaoni Wang. The network helps show where Xiaoni Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoni 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 109 | |
| 2 | 2016 | 94 | |
| 3 | 2015 | 82 | |
| 4 | 2019 | 82 | |
| 5 | 2017 | 78 | |
| 6 | 2021 | 65 | |
| 7 | 2022 | 46 | |
| 8 | 2024 | 38 | |
| 9 | 2019 | 37 | |
| 10 | 2019 | 36 | |
| 11 | 2019 | 36 | |
| 12 | 2019 | 33 | |
| 13 | 2019 | 31 | |
| 14 | 2021 | 30 | |
| 15 | 2020 | 23 | |
| 16 | 2020 | 23 | |
| 17 | 2020 | 22 | |
| 18 | 2019 | 21 | |
| 19 | 2017 | 19 | |
| 20 | 2020 | 18 |
About Xiaoni Wang
Xiaoni Wang is a scholar working on Psychiatry and Mental health, Spectroscopy, Cognitive Neuroscience, Condensed Matter Physics and Information Systems, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (18 papers), Molecular Sensors and Ion Detection (7 papers), Functional Brain Connectivity Studies (7 papers), Physics of Superconductivity and Magnetism (4 papers), Alzheimer's disease research and treatments (3 papers), Gut microbiota and health (3 papers), Aquaculture disease management and microbiota (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Psychiatry and Mental health (421 citations), Cognitive Neuroscience (249 citations), Spectroscopy (121 citations), Biochemistry (40 citations) and Neurology (25 citations). Xiaoni Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ying Han, Yujing Zuo, Can Sheng, Weiying Lin, Yu Sun, Zhiming Gou, Ni Shu, Xiaochen Hu, Xuanyu Li and Tengda Zhao. Their work appears in journals such as Journal of Alzheimer s Disease, Sensors and Actuators B Chemical, Chemical Science, Frontiers in Aging Neuroscience and Alzheimer s & Dementia.
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.