Peifa Yu
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
- Infectious Diseases top 10%
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
Papers in
-
- Viral gastroenteritis research and epidemiology 7
- Viral Infections and Vectors 6
-
- interferon and immune responses 4
- Co-authors
- Yang Li (11 shared papers)Qiuwei Pan (11 shared papers)Jianxun Luo (8 shared papers)Jifei Yang (8 shared papers)Maikel P. Peppelenbosch (8 shared papers)Hong Yin (8 shared papers)Zhijie Liu (5 shared papers)Guangyuan Liu (5 shared papers)
- Journals
- Antiviral Research (4 papers)The Journal of Infectious Diseases (2 papers)Parasites & Vectors (2 papers)Infection Genetics and Evolution (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaNetherlandsGermany
In The Last Decade
Peifa Yu
21 papers receiving 358 citations
Peers
Comparison fields: 5 of 64
- Parasitology 159
- Infectious Diseases 192
- Hepatology 68
- Ecology, Evolution, Behavior and Systematics 102
- Immunology 74
Countries citing papers authored by Peifa Yu
This map shows the geographic impact of Peifa Yu'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 Peifa Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peifa Yu more than expected).
Fields of papers citing papers by Peifa Yu
This network shows the impact of papers produced by Peifa Yu. 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 Peifa Yu. The network helps show where Peifa Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Peifa Yu, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 37 | |
| 2 | 2020 | 30 | |
| 3 | 2016 | 28 | |
| 4 | 2016 | 28 | |
| 5 | 2021 | 23 | |
| 6 | 2020 | 22 | |
| 7 | 2017 | 21 | |
| 8 | 2021 | 18 | |
| 9 | 2017 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2019 | 17 | |
| 12 | 2019 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2016 | 13 | |
| 15 | 1981 | 13 | |
| 16 | 1980 | 13 | |
| 17 | 2016 | 11 | |
| 18 | 2016 | 11 | |
| 19 | 2016 | 7 | |
| 20 | 2021 | 6 |
About Peifa Yu
Peifa Yu is a scholar working on Infectious Diseases, Immunology, Ecology, Evolution, Behavior and Systematics, Parasitology and Hepatology, having authored 22 papers that have together received 368 indexed citations. Recurring topics across this work include Vector-Borne Animal Diseases (8 papers), Vector-borne infectious diseases (8 papers), Hepatitis Viruses Studies and Epidemiology (7 papers), Viral gastroenteritis research and epidemiology (7 papers), Viral Infections and Vectors (6 papers), interferon and immune responses (4 papers), Viral Infections and Immunology Research (4 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Parasitology (159 citations), Infectious Diseases (192 citations), Hepatology (68 citations), Ecology, Evolution, Behavior and Systematics (102 citations) and Immunology (74 citations). Peifa Yu has collaborated with scholars based in China, Netherlands and Germany. Frequent co-authors include Yang Li, Qiuwei Pan, Jianxun Luo, Jifei Yang, Maikel P. Peppelenbosch, Hong Yin, Zhijie Liu, Guangyuan Liu, Guiquan Guan and Qingli Niu. Their work appears in journals such as Antiviral Research, The Journal of Infectious Diseases, Parasites & Vectors, Infection Genetics and Evolution and Scientific Reports.
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.