Xiaoni Wang
Impact in
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research
- Biological Psychiatry top 10%
Papers in ⓘ
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- Dementia and Cognitive Impairment Research 13
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- Advanced biosensing and bioanalysis techniques 5
- Co-authors
- Ying Han (17 shared papers)Yujing Zuo (8 shared papers)Weiying Lin (7 shared papers)Yu Sun (10 shared papers)Can Sheng (11 shared papers)Zhiming Gou (6 shared papers)Ni Shu (2 shared papers)Xiaochen Hu (3 shared papers)
- Journals
- Journal of Alzheimer s Disease (5 papers)Chemical Science (3 papers)Frontiers in Aging Neuroscience (3 papers)Sensors and Actuators B Chemical (3 papers)Chemical Communications (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaoni Wang
48 papers receiving 912 citations
Peers
Comparison fields: 5 of 120
- Psychiatry and Mental health 269
- Biological Psychiatry 43
- Cognitive Neuroscience 325
- Biochemistry 84
- Radiology, Nuclear Medicine and Imaging 186
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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 104 | |
| 2 | 2016 | 86 | |
| 3 | 2015 | 75 | |
| 4 | 2019 | 70 | |
| 5 | 2021 | 56 | |
| 6 | 2022 | 41 | |
| 7 | 2019 | 37 | |
| 8 | 2019 | 33 | |
| 9 | 2019 | 32 | |
| 10 | 2019 | 29 | |
| 11 | 2019 | 28 | |
| 12 | 2021 | 28 | |
| 13 | 2020 | 20 | |
| 14 | 2019 | 20 | |
| 15 | 2020 | 18 | |
| 16 | 2020 | 18 | |
| 17 | 2024 | 18 | |
| 18 | 2020 | 18 | |
| 19 | 2017 | 17 | |
| 20 | 2021 | 17 |
About Xiaoni Wang
Xiaoni Wang is a scholar working on Psychiatry and Mental health, Molecular Biology, Cognitive Neuroscience, Physiology and Radiology, Nuclear Medicine and Imaging, having authored 56 papers that have together received 923 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (13 papers), Functional Brain Connectivity Studies (10 papers), Alzheimer's disease research and treatments (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Advanced MRI Techniques and Applications (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Tryptophan and brain disorders (4 papers) and Molecular Sensors and Ion Detection (4 papers). The work is most often cited by research in Psychiatry and Mental health (269 citations), Biological Psychiatry (43 citations), Cognitive Neuroscience (325 citations), Biochemistry (84 citations) and Radiology, Nuclear Medicine and Imaging (186 citations). Xiaoni Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ying Han, Yujing Zuo, Weiying Lin, Yu Sun, Can Sheng, Zhiming Gou, Ni Shu, Xiaochen Hu, Tengda Zhao and Xuanyu Li. Their work appears in journals such as Journal of Alzheimer s Disease, Chemical Science, Frontiers in Aging Neuroscience, Sensors and Actuators B Chemical and Chemical Communications.
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.