Yadi Sun
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Biological Psychiatry top 10%
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 5
- Parkinson's Disease Mechanisms and Treatments 5
- Co-authors
- Liang Kou (19 shared papers)Sijia Yin (19 shared papers)Fang Wan (13 shared papers)Junjie Hu (8 shared papers)Yun Xia (9 shared papers)Nian Xiong (11 shared papers)Yunna Li (11 shared papers)Jiawei Wu (10 shared papers)
In The Last Decade
Yadi Sun
34 papers receiving 704 citations
Peers
Comparison fields: 5 of 104
- Neurology 165
- Biological Psychiatry 29
- Neurology 163
- Endocrine and Autonomic Systems 44
- Physiology 21
Countries citing papers authored by Yadi Sun
This map shows the geographic impact of Yadi Sun'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 Yadi Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yadi Sun more than expected).
Fields of papers citing papers by Yadi Sun
This network shows the impact of papers produced by Yadi Sun. 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 Yadi Sun. The network helps show where Yadi Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Yadi Sun, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 153 | |
| 2 | 2021 | 94 | |
| 3 | 2022 | 70 | |
| 4 | 2023 | 42 | |
| 5 | 2020 | 38 | |
| 6 | 2024 | 38 | |
| 7 | 2019 | 29 | |
| 8 | 2023 | 27 | |
| 9 | 2024 | 21 | |
| 10 | 2021 | 20 | |
| 11 | 2023 | 19 | |
| 12 | 2022 | 17 | |
| 13 | 2023 | 16 | |
| 14 | 2022 | 16 | |
| 15 | 2024 | 14 | |
| 16 | 2025 | 13 | |
| 17 | 2023 | 12 | |
| 18 | 2023 | 10 | |
| 19 | 2024 | 8 | |
| 20 | 2023 | 8 |
About Yadi Sun
Yadi Sun is a scholar working on Molecular Biology, Neurology, Electrical and Electronic Engineering, Neurology and Physiology, having authored 35 papers that have together received 711 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Advanced Battery Materials and Technologies (5 papers), Advancements in Battery Materials (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Alzheimer's disease research and treatments (4 papers), Bone Tissue Engineering Materials (3 papers), Supercapacitor Materials and Fabrication (3 papers) and MXene and MAX Phase Materials (2 papers). The work is most often cited by research in Neurology (165 citations), Biological Psychiatry (29 citations), Neurology (163 citations), Endocrine and Autonomic Systems (44 citations) and Physiology (21 citations). Yadi Sun has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Liang Kou, Sijia Yin, Fang Wan, Junjie Hu, Yun Xia, Nian Xiong, Yunna Li, Jiawei Wu, Qiulu Zhou and Tao Wang. Their work appears in journals such as Frontiers in Neurology, CNS Neuroscience & Therapeutics, Journal of Orthopaedic Surgery and Research, Journal of Neuroinflammation and Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine.
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.