Penghui Yang
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Epidemiology 29
- Influenza Virus Research Studies 23
- Respiratory viral infections research 16
- Immunology 17
- Immune Response and Inflammation 10
- Immunotherapy and Immune Responses 4
- interferon and immune responses 3
- Co-authors
- Xiliang Wang (30 shared papers)Shaogeng Zhang (19 shared papers)Zhongpeng Zhao (22 shared papers)Hongjing Gu (17 shared papers)Yueqiang Duan (19 shared papers)Chengcai Lai (12 shared papers)Li Xing (18 shared papers)Keyu Wang (8 shared papers)
In The Last Decade
Penghui Yang
46 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Infectious Diseases 434
- Cancer Research 240
- Immunology 256
- Epidemiology 331
- Obstetrics and Gynecology 47
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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 212 | |
| 2 | 2019 | 209 | |
| 3 | 2016 | 187 | |
| 4 | 2009 | 47 | |
| 5 | 2020 | 47 | |
| 6 | 2009 | 43 | |
| 7 | 2013 | 35 | |
| 8 | 2017 | 34 | |
| 9 | 2017 | 33 | |
| 10 | 2012 | 32 | |
| 11 | 2017 | 31 | |
| 12 | 2010 | 25 | |
| 13 | 2011 | 24 | |
| 14 | 2016 | 23 | |
| 15 | 2011 | 21 | |
| 16 | 2014 | 20 | |
| 17 | 2014 | 17 | |
| 18 | 2012 | 15 | |
| 19 | 2012 | 15 | |
| 20 | 2014 | 15 |
About Penghui Yang
Penghui Yang is a scholar working on Epidemiology, Immunology, Molecular Biology, Infectious Diseases and Cancer Research, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (23 papers), Respiratory viral infections research (16 papers), Immune Response and Inflammation (10 papers), Viral gastroenteritis research and epidemiology (5 papers), Immunotherapy and Immune Responses (4 papers), Cancer-related molecular mechanisms research (4 papers), Virus-based gene therapy research (3 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Infectious Diseases (434 citations), Cancer Research (240 citations), Immunology (256 citations), Epidemiology (331 citations) and Obstetrics and Gynecology (47 citations). Penghui Yang has collaborated with scholars based in China, Belarus and Austria. Frequent co-authors include Xiliang Wang, Shaogeng Zhang, Zhongpeng Zhao, 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, International Immunopharmacology, Vaccine 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.