Peikun Wang
Impact in
- Epidemiology top 10%
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
- Epidemiology 18
- Herpesvirus Infections and Treatments 18
- Cytomegalovirus and herpesvirus research 7
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- interferon and immune responses 6
- Co-authors
- Ping Wei (19 shared papers)Teng Huang (13 shared papers)Lulu Lin (11 shared papers)Mengya Shi (12 shared papers)Haijuan Li (8 shared papers)Tianchao Wei (9 shared papers)Meilan Mo (9 shared papers)Haijuan Li (5 shared papers)
- Journals
- Poultry Science (6 papers)Archives of Virology (3 papers)Transboundary and Emerging Diseases (3 papers)Veterinary Microbiology (2 papers)Virus Genes (2 papers)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Peikun Wang
26 papers receiving 356 citations
Peers
Comparison fields: 5 of 41
- Epidemiology 253
- Animal Science and Zoology 76
- Immunology 117
- Virology 18
- Agronomy and Crop Science 32
Countries citing papers authored by Peikun Wang
This map shows the geographic impact of Peikun Wang'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 Peikun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peikun Wang more than expected).
Fields of papers citing papers by Peikun Wang
This network shows the impact of papers produced by Peikun Wang. 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 Peikun Wang. The network helps show where Peikun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Peikun Wang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 45 | |
| 2 | 2018 | 25 | |
| 3 | 2020 | 25 | |
| 4 | 2017 | 24 | |
| 5 | 2021 | 23 | |
| 6 | 2020 | 23 | |
| 7 | 2020 | 22 | |
| 8 | 2017 | 19 | |
| 9 | 2020 | 19 | |
| 10 | 2019 | 16 | |
| 11 | 2017 | 16 | |
| 12 | 2020 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2015 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2024 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2023 | 6 |
About Peikun Wang
Peikun Wang is a scholar working on Epidemiology, Immunology, Animal Science and Zoology, Molecular Biology and Genetics, having authored 26 papers that have together received 357 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (18 papers), Cytomegalovirus and herpesvirus research (7 papers), interferon and immune responses (6 papers), Animal Virus Infections Studies (6 papers), Virus-based gene therapy research (5 papers), RNA and protein synthesis mechanisms (3 papers), Viral Infections and Immunology Research (3 papers) and Plant Virus Research Studies (3 papers). The work is most often cited by research in Epidemiology (253 citations), Animal Science and Zoology (76 citations), Immunology (117 citations), Virology (18 citations) and Agronomy and Crop Science (32 citations). Peikun Wang has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Ping Wei, Teng Huang, Lulu Lin, Mengya Shi, Haijuan Li, Tianchao Wei, Meilan Mo, Haijuan Li, Yanli Gao and Yongli Yang. Their work appears in journals such as Poultry Science, Archives of Virology, Transboundary and Emerging Diseases, Veterinary Microbiology and Virus Genes.
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.