Jun Fu
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
Papers in
-
- Plant-Microbe Interactions and Immunity 3
- Plant Molecular Biology Research 2
- Plant Disease Management Techniques 2
-
- Ginseng Biological Effects and Applications 3
- Co-authors
- Di Xiao (1 shared paper)Hu Xu (4 shared papers)Xuehui Cai (3 shared papers)Jing Zhao (3 shared papers)Chaoliang Leng (3 shared papers)Tongqing An (3 shared papers)Jinmei Peng (4 shared papers)Chao Li (4 shared papers)
- Journals
- PeerJ (2 papers)Transboundary and Emerging Diseases (1 paper)AoB Plants (1 paper)Insect Conservation and Diversity (1 paper)Genetic Resources and Crop Evolution (1 paper)
- Partner nations
- ChinaUnited StatesMexico
In The Last Decade
Jun Fu
21 papers receiving 367 citations
Peers
Comparison fields: 5 of 58
- Animal Science and Zoology 130
- Infectious Diseases 139
- Agronomy and Crop Science 49
- Genetics 93
- Plant Science 120
Countries citing papers authored by Jun Fu
This map shows the geographic impact of Jun Fu'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 Jun Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Fu more than expected).
Fields of papers citing papers by Jun Fu
This network shows the impact of papers produced by Jun Fu. 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 Jun Fu. The network helps show where Jun Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Fu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 54 | |
| 2 | 2020 | 51 | |
| 3 | 2020 | 50 | |
| 4 | 2018 | 44 | |
| 5 | 2022 | 35 | |
| 6 | 2007 | 30 | |
| 7 | 2021 | 20 | |
| 8 | 2013 | 15 | |
| 9 | 2014 | 12 | |
| 10 | 2022 | 9 | |
| 11 | 2018 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2017 | 7 | |
| 14 | 2017 | 7 | |
| 15 | 2012 | 6 | |
| 16 | 2016 | 6 | |
| 17 | 2013 | 4 | |
| 18 | [Molecular evolution of MHC DQA genes. II. Phylogenetic analysis based on nucleotide substitution and SCU bias]. | 1997 | 3 |
| 19 | 2020 | 2 | |
| 20 | 2020 | 1 |
About Jun Fu
Jun Fu is a scholar working on Plant Science, Molecular Biology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Animal Science and Zoology, having authored 23 papers that have together received 373 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (5 papers), Animal Virus Infections Studies (4 papers), Plant-Microbe Interactions and Immunity (3 papers), Plant Pathogens and Fungal Diseases (3 papers), Ginseng Biological Effects and Applications (3 papers), Coleoptera Taxonomy and Distribution (3 papers), Plant Molecular Biology Research (2 papers) and Plant Disease Management Techniques (2 papers). The work is most often cited by research in Animal Science and Zoology (130 citations), Infectious Diseases (139 citations), Agronomy and Crop Science (49 citations), Genetics (93 citations) and Plant Science (120 citations). Jun Fu has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Di Xiao, Hu Xu, Xuehui Cai, Jing Zhao, Chaoliang Leng, Tongqing An, Jinmei Peng, Chao Li, Qian Wang and Lirun Xiang. Their work appears in journals such as PeerJ, Transboundary and Emerging Diseases, AoB Plants, Insect Conservation and Diversity and Genetic Resources and Crop Evolution.
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.