Penghui Yang
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Immunology top 10%
Papers in
- Epidemiology 32
- Influenza Virus Research Studies 25
- Respiratory viral infections research 18
- Immunology 19
- Immune Response and Inflammation 11
- interferon and immune responses 4
- Immunotherapy and Immune Responses 4
- Co-authors
- Xiliang Wang (31 shared papers)Zhongpeng Zhao (23 shared papers)Shaogeng Zhang (19 shared papers)Hongjing Gu (17 shared papers)Yueqiang Duan (19 shared papers)Chengcai Lai (12 shared papers)Li Xing (19 shared papers)Keyu Wang (8 shared papers)
In The Last Decade
Penghui Yang
49 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 100
- Infectious Diseases 505
- Immunology 383
- Cancer Research 248
- Epidemiology 430
- Neurology 127
Countries citing papers authored by Penghui Yang
This map shows the geographic impact of Penghui 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 Penghui Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Penghui Yang more than expected).
Fields of papers citing papers by Penghui Yang
This network shows the impact of papers produced by Penghui 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 Penghui Yang. The network helps show where Penghui Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Penghui 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
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 224 | |
| 2 | 2019 | 216 | |
| 3 | 2016 | 195 | |
| 4 | 2011 | 154 | |
| 5 | 2013 | 74 | |
| 6 | 2020 | 49 | |
| 7 | 2009 | 46 | |
| 8 | 2009 | 42 | |
| 9 | 2013 | 36 | |
| 10 | 2017 | 35 | |
| 11 | 2017 | 34 | |
| 12 | 2012 | 34 | |
| 13 | 2017 | 32 | |
| 14 | 2016 | 26 | |
| 15 | 2010 | 25 | |
| 16 | 2011 | 24 | |
| 17 | 2011 | 23 | |
| 18 | 2014 | 20 | |
| 19 | 2014 | 17 | |
| 20 | 2015 | 16 |
About Penghui Yang
Penghui Yang is a scholar working on Epidemiology, Immunology, Cancer Research, Infectious Diseases and Molecular Biology, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (25 papers), Respiratory viral infections research (18 papers), Immune Response and Inflammation (11 papers), Viral gastroenteritis research and epidemiology (5 papers), Cancer-related molecular mechanisms research (4 papers), interferon and immune responses (4 papers), Immunotherapy and Immune Responses (4 papers) and Fibroblast Growth Factor Research (3 papers). The work is most often cited by research in Infectious Diseases (505 citations), Immunology (383 citations), Cancer Research (248 citations), Epidemiology (430 citations) and Neurology (127 citations). Penghui Yang has collaborated with scholars based in China, Belarus and Austria. Frequent co-authors include Xiliang Wang, Zhongpeng Zhao, Shaogeng Zhang, Hongjing Gu, Yueqiang Duan, Chengcai Lai, Li Xing, Keyu Wang, Xiaolan Yang and Liangyan Zhang. Their work appears in journals such as Antiviral Research, PLoS ONE, Vaccine, Frontiers in Microbiology and International Immunopharmacology.
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.