Yao‐Wei Huang
- Infectious Diseases top 0.2%
- Animal Science and Zoology top 0.05%
- Genetics top 1%
- Hepatology top 1%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Xiang‐Jin MengTanja OpriessnigYong‐Le YangPatrick G. HalburBarbara A. DrymanPan QinPablo PiñeyroBin Wang
- Topics
- Viral gastroenteritis research and epidemiology (82 papers)Animal Virus Infections Studies (71 papers)Virus-based gene therapy research (46 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yao‐Wei Huang
123 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Infectious Diseases 2.9k
- Animal Science and Zoology 2.4k
- Genetics 1.4k
- Hepatology 761
- Cardiology and Cardiovascular Medicine 581
Countries citing papers authored by Yao‐Wei Huang
This map shows the geographic impact of Yao‐Wei Huang'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 Yao‐Wei Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao‐Wei Huang more than expected).
Fields of papers citing papers by Yao‐Wei Huang
This network shows the impact of papers produced by Yao‐Wei Huang. 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 Yao‐Wei Huang. The network helps show where Yao‐Wei Huang may publish in the future.
Co-authorship network of co-authors of Yao‐Wei Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Yao‐Wei Huang. A scholar is included among the top collaborators of Yao‐Wei Huang 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 Yao‐Wei Huang. Yao‐Wei Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 35 | |
| 11 | 38 | |
| 12 | 23 | |
| 13 | 51 | |
| 14 | 5 | |
| 15 | 27 | |
| 16 | 42 | |
| 17 | 38 | |
| 18 | 86 | |
| 19 | 28 | |
| 20 | 38 |
About Yao‐Wei Huang
Yao‐Wei Huang is a scholar working on Animal Science and Zoology, Infectious Diseases and Hepatology, having authored 132 papers that have together received 3.9k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (82 papers), Animal Virus Infections Studies (71 papers) and Virus-based gene therapy research (46 papers). The work is most often cited by research in Animal Science and Zoology (2.4k citations), Infectious Diseases (2.9k citations) and Hepatology (761 citations). Yao‐Wei Huang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiang‐Jin Meng, Tanja Opriessnig, Yong‐Le Yang, Patrick G. Halbur, Barbara A. Dryman, Pan Qin, Pablo Piñeyro, Bin Wang, Li Fang and Allan W. Dickerman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.