Wei Yin
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Ecological Modeling top 5%
- Erosion and Abrasive Machining
Papers in
-
- Natural product bioactivities and synthesis 7
-
- Neuroscience and Neuropharmacology Research 12
- Co-authors
- Guangmei Yan (25 shared papers)George Mychaskiw (2 shared papers)Ahmed Badr (2 shared papers)John H. Zhang (2 shared papers)Pengxin Qiu (16 shared papers)Wei Chi (2 shared papers)Yehong Zhuo (1 shared paper)Hongrui Chen (1 shared paper)
- Journals
- Steroids (4 papers)Biochemical and Biophysical Research Communications (4 papers)Analytical Chemistry (3 papers)International Journal of Biological Macromolecules (3 papers)Brain Research (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wei Yin
168 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 172
- Neurology 170
- Ecological Modeling 82
- Virology 78
- Surfaces, Coatings and Films 109
- Molecular Biology 982
Countries citing papers authored by Wei Yin
This map shows the geographic impact of Wei Yin'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 Wei Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Yin more than expected).
Fields of papers citing papers by Wei Yin
This network shows the impact of papers produced by Wei Yin. 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 Wei Yin. The network helps show where Wei Yin may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Yin, 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 174 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 179 | |
| 2 | 2018 | 97 | |
| 3 | 2020 | 94 | |
| 4 | 2002 | 89 | |
| 5 | 2016 | 74 | |
| 6 | 2022 | 71 | |
| 7 | 2013 | 67 | |
| 8 | 2011 | 62 | |
| 9 | 2007 | 61 | |
| 10 | 2006 | 60 | |
| 11 | 2006 | 60 | |
| 12 | 2016 | 58 | |
| 13 | 2001 | 56 | |
| 14 | 2015 | 55 | |
| 15 | 2017 | 53 | |
| 16 | 2015 | 52 | |
| 17 | 2013 | 50 | |
| 18 | 2020 | 49 | |
| 19 | 2017 | 47 | |
| 20 | 2004 | 46 |
About Wei Yin
Wei Yin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Plant Science and Pharmacology, having authored 174 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Alzheimer's disease research and treatments (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Natural product bioactivities and synthesis (7 papers), Surface Modification and Superhydrophobicity (6 papers), Erosion and Abrasive Machining (5 papers), Fluid Dynamics and Heat Transfer (5 papers) and Phytochemistry and Biological Activities (4 papers). The work is most often cited by research in Neurology (170 citations), Ecological Modeling (82 citations), Virology (78 citations), Surfaces, Coatings and Films (109 citations) and Molecular Biology (982 citations). Wei Yin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guangmei Yan, George Mychaskiw, Ahmed Badr, John H. Zhang, Pengxin Qiu, Wei Chi, Yehong Zhuo, Hongrui Chen, Yingting Zhu and Fei Li. Their work appears in journals such as Steroids, Biochemical and Biophysical Research Communications, Analytical Chemistry, International Journal of Biological Macromolecules and Brain Research.
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.