Juan Pu
Impact in
- Agronomy and Crop Science top 0.2%
- Animal Disease Management and Epidemiology
- Epidemiology top 0.5%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
- Epidemiology 95
- Influenza Virus Research Studies 91
- Respiratory viral infections research 32
-
- Animal Disease Management and Epidemiology 54
- Co-authors
- Jinhua Liu (95 shared papers)Yipeng Sun (78 shared papers)Honglei Sun (71 shared papers)Kin‐Chow Chang (23 shared papers)Yuhai Bi (15 shared papers)Hanchun Yang (9 shared papers)Litao Liu (19 shared papers)Linqing Liu (8 shared papers)
- Journals
- Journal of Virology (14 papers)Veterinary Microbiology (11 papers)Journal of General Virology (8 papers)PLoS ONE (6 papers)Scientific Reports (5 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Juan Pu
109 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 95
- Agronomy and Crop Science 1.3k
- Epidemiology 2.5k
- Infectious Diseases 1.1k
- Animal Science and Zoology 369
- Immunology 511
Countries citing papers authored by Juan Pu
This map shows the geographic impact of Juan Pu'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 Juan Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Pu more than expected).
Fields of papers citing papers by Juan Pu
This network shows the impact of papers produced by Juan Pu. 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 Juan Pu. The network helps show where Juan Pu may publish in the future.
Co-authors
The 25 scholars most cited alongside Juan Pu, 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 155 | |
| 2 | 2010 | 133 | |
| 3 | 2007 | 132 | |
| 4 | 2008 | 102 | |
| 5 | 2009 | 91 | |
| 6 | 2021 | 87 | |
| 7 | 2016 | 82 | |
| 8 | 2012 | 73 | |
| 9 | 2015 | 72 | |
| 10 | 2012 | 71 | |
| 11 | 2011 | 69 | |
| 12 | 2015 | 65 | |
| 13 | 2011 | 63 | |
| 14 | 2022 | 62 | |
| 15 | 2016 | 60 | |
| 16 | 2015 | 55 | |
| 17 | 2017 | 54 | |
| 18 | 2015 | 51 | |
| 19 | 2013 | 50 | |
| 20 | 2009 | 47 |
About Juan Pu
Juan Pu is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Animal Science and Zoology and Immunology, having authored 117 papers that have together received 3.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (91 papers), Animal Disease Management and Epidemiology (54 papers), Respiratory viral infections research (32 papers), Viral gastroenteritis research and epidemiology (28 papers), Animal Virus Infections Studies (21 papers), interferon and immune responses (14 papers), Immune Response and Inflammation (9 papers) and Viral Infections and Vectors (8 papers). The work is most often cited by research in Agronomy and Crop Science (1.3k citations), Epidemiology (2.5k citations), Infectious Diseases (1.1k citations), Animal Science and Zoology (369 citations) and Immunology (511 citations). Juan Pu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jinhua Liu, Yipeng Sun, Honglei Sun, Kin‐Chow Chang, Yuhai Bi, Hanchun Yang, Litao Liu, Linqing Liu, Guanlong Xu and Earl G. Brown. Their work appears in journals such as Journal of Virology, Veterinary Microbiology, Journal of General Virology, PLoS ONE 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.