Jun Qiao
Impact in
- Small Animals top 5%
- Brucella: diagnosis, epidemiology, treatment
- Endocrinology top 5%
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 8
- Genetics 27
- Virus-based gene therapy research 13
- Bacterial Genetics and Biotechnology 9
- Co-authors
- Chuangfu Chen (34 shared papers)Wei Ni (14 shared papers)Qingling Meng (46 shared papers)Min Yang (1 shared paper)Irina A. Polejaeva (1 shared paper)Misha Regouski (1 shared paper)Shengwei Hu (1 shared paper)Xuepeng Cai (34 shared papers)
- Journals
- Journal of Agricultural and Food Chemistry (5 papers)Archives of Microbiology (3 papers)Research in Veterinary Science (3 papers)Tropical Animal Health and Production (3 papers)Microbial Pathogenesis (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Jun Qiao
106 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 100
- Small Animals 110
- Endocrinology 75
- Agronomy and Crop Science 140
- Genetics 305
- Parasitology 69
Countries citing papers authored by Jun Qiao
This map shows the geographic impact of Jun Qiao'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 Qiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Qiao more than expected).
Fields of papers citing papers by Jun Qiao
This network shows the impact of papers produced by Jun Qiao. 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 Qiao. The network helps show where Jun Qiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Qiao, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 189 | |
| 2 | 2013 | 42 | |
| 3 | 2012 | 41 | |
| 4 | 2018 | 39 | |
| 5 | 2014 | 39 | |
| 6 | 2012 | 37 | |
| 7 | 2012 | 33 | |
| 8 | 2023 | 32 | |
| 9 | 2015 | 31 | |
| 10 | 2014 | 27 | |
| 11 | 2015 | 26 | |
| 12 | 2010 | 25 | |
| 13 | 2013 | 24 | |
| 14 | 2014 | 24 | |
| 15 | 2017 | 22 | |
| 16 | 2013 | 21 | |
| 17 | 2013 | 19 | |
| 18 | 2014 | 19 | |
| 19 | 2015 | 19 | |
| 20 | 2015 | 19 |
About Jun Qiao
Jun Qiao is a scholar working on Molecular Biology, Genetics, Ecology, Infectious Diseases and Food Science, having authored 114 papers that have together received 1.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), Animal Virus Infections Studies (12 papers), Bacteriophages and microbial interactions (12 papers), Animal Disease Management and Epidemiology (11 papers), Bacterial Genetics and Biotechnology (9 papers), Microbial Metabolic Engineering and Bioproduction (8 papers), Viral gastroenteritis research and epidemiology (8 papers) and Helminth infection and control (8 papers). The work is most often cited by research in Small Animals (110 citations), Endocrinology (75 citations), Agronomy and Crop Science (140 citations), Genetics (305 citations) and Parasitology (69 citations). Jun Qiao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Chuangfu Chen, Wei Ni, Qingling Meng, Min Yang, Irina A. Polejaeva, Misha Regouski, Shengwei Hu, Xuepeng Cai, Shengwei Hu and Xiaoyuan Wang. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Archives of Microbiology, Research in Veterinary Science, Tropical Animal Health and Production and Microbial Pathogenesis.
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.