Yaoxing Wu
Impact in
- Immunology top 5%
- interferon and immune responses
- Infectious Diseases top 2%
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Ubiquitin and proteasome pathways 7
- RNA Research and Splicing 3
- Immunology 17
- interferon and immune responses 15
- Co-authors
- Jun Cui (30 shared papers)Shouheng Jin (19 shared papers)Weihong Xie (12 shared papers)Qingxiang Liu (4 shared papers)Ling Ma (7 shared papers)Tao Liu (2 shared papers)Zhiyao Zhao (6 shared papers)Shuai Yang (9 shared papers)
- Journals
- Autophagy (5 papers)Signal Transduction and Targeted Therapy (2 papers)Advanced Science (2 papers)Molecular Cell (2 papers)Frontiers in Microbiology (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Yaoxing Wu
32 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 90
- Immunology 604
- Infectious Diseases 492
- Epidemiology 390
- Public Health, Environmental and Occupational Health 324
- Virology 51
Countries citing papers authored by Yaoxing Wu
This map shows the geographic impact of Yaoxing Wu'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 Yaoxing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaoxing Wu more than expected).
Fields of papers citing papers by Yaoxing Wu
This network shows the impact of papers produced by Yaoxing Wu. 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 Yaoxing Wu. The network helps show where Yaoxing Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaoxing Wu, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 182 | |
| 2 | 2020 | 181 | |
| 3 | 2018 | 176 | |
| 4 | 2017 | 173 | |
| 5 | 2021 | 118 | |
| 6 | 2020 | 83 | |
| 7 | 2018 | 71 | |
| 8 | 2016 | 63 | |
| 9 | 2022 | 53 | |
| 10 | 2020 | 50 | |
| 11 | 2020 | 50 | |
| 12 | 2022 | 44 | |
| 13 | 2021 | 43 | |
| 14 | 2019 | 42 | |
| 15 | 2023 | 34 | |
| 16 | 2022 | 28 | |
| 17 | 2017 | 27 | |
| 18 | 2024 | 22 | |
| 19 | 2020 | 20 | |
| 20 | 2022 | 16 |
About Yaoxing Wu
Yaoxing Wu is a scholar working on Molecular Biology, Immunology, Epidemiology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include interferon and immune responses (15 papers), Autophagy in Disease and Therapy (13 papers), Ubiquitin and proteasome pathways (7 papers), Mosquito-borne diseases and control (6 papers), Viral Infections and Vectors (4 papers), Toxoplasma gondii Research Studies (4 papers), Calcium signaling and nucleotide metabolism (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Immunology (604 citations), Infectious Diseases (492 citations), Epidemiology (390 citations), Public Health, Environmental and Occupational Health (324 citations) and Virology (51 citations). Yaoxing Wu has collaborated with scholars based in China and United States. Frequent co-authors include Jun Cui, Shouheng Jin, Weihong Xie, Qingxiang Liu, Ling Ma, Tao Liu, Zhiyao Zhao, Shuai Yang, Shuo Tian and Yi‐Ping Li. Their work appears in journals such as Autophagy, Signal Transduction and Targeted Therapy, Advanced Science, Molecular Cell and Frontiers in Microbiology.
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.