Xiaoni Wang
Impact in
- Biological Psychiatry top 10%
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research
Papers in
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- Advanced biosensing and bioanalysis techniques 5
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- Dementia and Cognitive Impairment Research 12
- Co-authors
- Ying Han (17 shared papers)Yujing Zuo (8 shared papers)Weiying Lin (7 shared papers)Can Sheng (11 shared papers)Zhiming Gou (6 shared papers)Yu Sun (11 shared papers)Ni Shu (2 shared papers)Xiaochen Hu (3 shared papers)
- Journals
- Journal of Alzheimer s Disease (5 papers)Sensors and Actuators B Chemical (3 papers)Chemical Science (3 papers)Frontiers in Aging Neuroscience (3 papers)Radiology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaoni Wang
49 papers receiving 972 citations
Peers
Comparison fields: 5 of 114
- Biological Psychiatry 35
- Psychiatry and Mental health 205
- Cognitive Neuroscience 259
- Biochemistry 82
- Microbiology 5
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 106 | |
| 2 | 2016 | 87 | |
| 3 | 2015 | 78 | |
| 4 | 2019 | 73 | |
| 5 | 2021 | 59 | |
| 6 | 2022 | 43 | |
| 7 | 2019 | 37 | |
| 8 | 2019 | 33 | |
| 9 | 2019 | 32 | |
| 10 | 2019 | 32 | |
| 11 | 2019 | 29 | |
| 12 | 2021 | 29 | |
| 13 | 2024 | 27 | |
| 14 | 2020 | 21 | |
| 15 | 2019 | 20 | |
| 16 | 2020 | 20 | |
| 17 | 2020 | 19 | |
| 18 | 2020 | 18 | |
| 19 | 2017 | 18 | |
| 20 | 2021 | 17 |
About Xiaoni Wang
Xiaoni Wang is a scholar working on Molecular Biology, Psychiatry and Mental health, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 59 papers that have together received 980 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (12 papers), Functional Brain Connectivity Studies (10 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Alzheimer's disease research and treatments (7 papers), Advanced biosensing and bioanalysis techniques (5 papers), Advanced MRI Techniques and Applications (5 papers), Molecular Sensors and Ion Detection (4 papers) and Physics of Superconductivity and Magnetism (4 papers). The work is most often cited by research in Biological Psychiatry (35 citations), Psychiatry and Mental health (205 citations), Cognitive Neuroscience (259 citations), Biochemistry (82 citations) and Microbiology (5 citations). Xiaoni Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ying Han, Yujing Zuo, Weiying Lin, Can Sheng, Zhiming Gou, Yu Sun, Ni Shu, Xiaochen Hu, Tengda Zhao and Xuanyu Li. Their work appears in journals such as Journal of Alzheimer s Disease, Sensors and Actuators B Chemical, Chemical Science, Frontiers in Aging Neuroscience and Radiology.
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.