Yu Wan
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 5%
Papers in
-
- Multicomponent Synthesis of Heterocycles 22
- Synthesis and biological activity 12
- Synthesis and Biological Evaluation 6
-
- Chemical Synthesis and Analysis 5
- Co-authors
- Jin‐Tai Yu (19 shared papers)Lan Tan (18 shared papers)Hui Wu (28 shared papers)Chen‐Chen Tan (12 shared papers)Wei Xu (2 shared papers)Hui-Fu Wang (12 shared papers)Ning Gu (2 shared papers)Kun Fang (2 shared papers)
- Journals
- Molecular Neurobiology (8 papers)Journal of Alzheimer s Disease (5 papers)Tetrahedron (4 papers)Tetrahedron Letters (4 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Yu Wan
98 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 146
- Neurology 251
- Biological Psychiatry 70
- Physiology 440
- Organic Chemistry 478
- Psychiatry and Mental health 219
Countries citing papers authored by Yu Wan
This map shows the geographic impact of Yu Wan'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 Yu Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Wan more than expected).
Fields of papers citing papers by Yu Wan
This network shows the impact of papers produced by Yu Wan. 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 Yu Wan. The network helps show where Yu Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Wan, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 252 | |
| 2 | 2019 | 214 | |
| 3 | 2017 | 196 | |
| 4 | 2017 | 111 | |
| 5 | 2019 | 101 | |
| 6 | 2018 | 72 | |
| 7 | 2007 | 71 | |
| 8 | 2020 | 70 | |
| 9 | 2008 | 68 | |
| 10 | 2009 | 51 | |
| 11 | 2019 | 45 | |
| 12 | 2012 | 44 | |
| 13 | 2006 | 41 | |
| 14 | 2016 | 39 | |
| 15 | 2017 | 38 | |
| 16 | 2012 | 36 | |
| 17 | 2016 | 35 | |
| 18 | 2016 | 34 | |
| 19 | 2009 | 33 | |
| 20 | The evolving science of pharmacogenetics: clinical and ethnic perspectives. | 1996 | 32 |
About Yu Wan
Yu Wan is a scholar working on Organic Chemistry, Molecular Biology, Physiology, Pharmacology and Neurology, having authored 102 papers that have together received 2.3k indexed citations. Recurring topics across this work include Multicomponent Synthesis of Heterocycles (22 papers), Alzheimer's disease research and treatments (16 papers), Synthesis and biological activity (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Synthesis of Organic Compounds (8 papers), Dementia and Cognitive Impairment Research (6 papers), Synthesis and Biological Evaluation (6 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Neurology (251 citations), Biological Psychiatry (70 citations), Physiology (440 citations), Organic Chemistry (478 citations) and Psychiatry and Mental health (219 citations). Yu Wan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Jin‐Tai Yu, Lan Tan, Hui Wu, Chen‐Chen Tan, Wei Xu, Hui-Fu Wang, Ning Gu, Kun Fang, Zhirui Guo and Xiang Lu. Their work appears in journals such as Molecular Neurobiology, Journal of Alzheimer s Disease, Tetrahedron, Tetrahedron Letters and Scientific Reports.
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.