Haiyang Yu
- Molecular Biology top 10%
- Nephrology top 2%
- Neurology top 5%
- Cell Biology top 5%
- Genetics top 5%
- Co-authors
- Andréy S. ShawDon W. ClevelandSandrine Da CruzShan LuSusan S. TaylorAlexandr P. KornevJiancheng HuCong Chen
- Topics
- Renal Diseases and Glomerulopathies (5 papers)RNA Research and Splicing (4 papers)Alzheimer's disease research and treatments (3 papers)
- Cited by
- NephrologyNeurologyGenetics
- Partner nations
- United StatesChinaFrance
In The Last Decade
Haiyang Yu
26 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.1k
- Nephrology 314
- Neurology 307
- Cell Biology 217
- Genetics 202
Countries citing papers authored by Haiyang Yu
This map shows the geographic impact of Haiyang Yu'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 Haiyang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiyang Yu more than expected).
Fields of papers citing papers by Haiyang Yu
This network shows the impact of papers produced by Haiyang Yu. 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 Haiyang Yu. The network helps show where Haiyang Yu may publish in the future.
Co-authorship network of co-authors of Haiyang Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Haiyang Yu. A scholar is included among the top collaborators of Haiyang Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haiyang Yu. Haiyang Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 29 | |
| 5 | 3 | |
| 6 | 32 | |
| 7 | 22 | |
| 8 | 26 | |
| 9 | HSP70 chaperones RNA-free TDP-43 into anisotropic intranuclear liquid spherical shellsbreakdown → | 218 |
| 10 | 99 | |
| 11 | 39 | |
| 12 | Cytoplasmic TDP-43 De-mixing Independent of Stress Granules Drives Inhibition of Nuclear Import, Loss of Nuclear TDP-43, and Cell Deathbreakdown → | 327 |
| 13 | 47 | |
| 14 | 2 | |
| 15 | Optimization of extraction conditions of transferring heavy metal acetate in food packaging inner lining paper by response surface method. | 1 |
| 16 | 215 | |
| 17 | 108 | |
| 18 | 191 | |
| 19 | 45 | |
| 20 | 33 |
About Haiyang Yu
Haiyang Yu is a scholar working on Nephrology, Aging and Biological Psychiatry, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (5 papers), RNA Research and Splicing (4 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Nephrology (314 citations), Neurology (307 citations) and Genetics (202 citations). Haiyang Yu has collaborated with scholars based in United States, China and France. Frequent co-authors include Andréy S. Shaw, Don W. Cleveland, Sandrine Da Cruz, Shan Lu, Susan S. Taylor, Alexandr P. Kornev, Jiancheng Hu, Cong Chen, Ze’ev Melamed and Lin Guo. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.