Xiaoyu Yang
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
- interferon and immune responses
Papers in
- Virology 6
- HIV Research and Treatment 6
-
- Scientific Computing and Data Management 8
- Co-authors
- Dana GabuzdaT.T. ChowYouzhi ChenHyeryun ChoeJianglin HeWalter NewmanSuzanne GartnerJoseph Sodroski
- Journals
- Journal of Biological Chemistry (5 papers)Frontiers in Genetics (3 papers)Journal of Hospital Infection (2 papers)Computers & Fluids (2 papers)Nature (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoyu Yang
68 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Virology 928
- Immunology 660
- Neurology 256
- Infectious Diseases 383
- Marketing 100
Countries citing papers authored by Xiaoyu Yang
This map shows the geographic impact of Xiaoyu Yang'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 Xiaoyu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyu Yang more than expected).
Fields of papers citing papers by Xiaoyu Yang
This network shows the impact of papers produced by Xiaoyu Yang. 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 Xiaoyu Yang. The network helps show where Xiaoyu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyu Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 26 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 1 | |
| 12 | Effects of nitrogen fertilizer application on the formation of white-belly and white-core as well as biochemical composition of japonica rice grains. | 2016 | 2 |
| 13 | 2014 | 9 | |
| 14 | Guide to e-Science: Next Generation Scientific Research and Discovery | 2011 | 7 |
| 15 | Cloning and sequencing of PGIP gene from Prunus dulcis | 2008 | 1 |
| 16 | Effect of different salt treatments on growth and physiological characteristics of cucumber seedlings | 2007 | 5 |
| 17 | 2003 | 92 | |
| 18 | 2002 | 63 | |
| 19 | 1998 | 80 | |
| 20 | 1994 | 26 |
About Xiaoyu Yang
Xiaoyu Yang is a scholar working on Virology, Information Systems and Management, Aging, Earth-Surface Processes and Biological Psychiatry, having authored 70 papers that have together received 2.7k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (8 papers), Scientific Computing and Data Management (8 papers), Fluid Dynamics and Turbulent Flows (7 papers), HIV Research and Treatment (6 papers), Turbomachinery Performance and Optimization (5 papers), Food composition and properties (5 papers), Aerodynamics and Acoustics in Jet Flows (5 papers) and Advanced Data Storage Technologies (4 papers). The work is most often cited by research in Virology (928 citations), Immunology (660 citations), Neurology (256 citations), Infectious Diseases (383 citations) and Marketing (100 citations). Xiaoyu Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dana Gabuzda, T.T. Chow, Youzhi Chen, Hyeryun Choe, Jianglin He, Walter Newman, Suzanne Gartner, Joseph Sodroski, Åsa Öhagen and Michael Farzan. Their work appears in journals such as Journal of Biological Chemistry, Frontiers in Genetics, Journal of Hospital Infection, Computers & Fluids and Nature.
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.