Yanlong Cong
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
Papers in
- Epidemiology 27
- Virology and Viral Diseases 17
- Influenza Virus Research Studies 9
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- Animal Virus Infections Studies 20
- Co-authors
- Chunfeng Wang (14 shared papers)Zhuang Ding (20 shared papers)Renfu Yin (14 shared papers)Chan Ding (10 shared papers)Xiufan Liu (9 shared papers)Shengqing Yu (9 shared papers)Guilian Yang (7 shared papers)Shunlin Hu (7 shared papers)
In The Last Decade
Yanlong Cong
35 papers receiving 505 citations
Peers
Comparison fields: 5 of 63
- Animal Science and Zoology 166
- Agronomy and Crop Science 128
- Infectious Diseases 197
- Epidemiology 281
- Genetics 105
Countries citing papers authored by Yanlong Cong
This map shows the geographic impact of Yanlong Cong'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 Yanlong Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanlong Cong more than expected).
Fields of papers citing papers by Yanlong Cong
This network shows the impact of papers produced by Yanlong Cong. 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 Yanlong Cong. The network helps show where Yanlong Cong may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanlong Cong, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 59 | |
| 2 | 2008 | 55 | |
| 3 | 2014 | 28 | |
| 4 | 2016 | 27 | |
| 5 | 2017 | 27 | |
| 6 | 2015 | 25 | |
| 7 | 2015 | 25 | |
| 8 | 2010 | 24 | |
| 9 | 2010 | 20 | |
| 10 | 2018 | 19 | |
| 11 | 2010 | 19 | |
| 12 | 2017 | 17 | |
| 13 | 2017 | 16 | |
| 14 | 2018 | 15 | |
| 15 | 2014 | 15 | |
| 16 | 2018 | 14 | |
| 17 | 2012 | 13 | |
| 18 | 2014 | 13 | |
| 19 | 2014 | 12 | |
| 20 | 2013 | 12 |
About Yanlong Cong
Yanlong Cong is a scholar working on Epidemiology, Animal Science and Zoology, Infectious Diseases, Agronomy and Crop Science and Genetics, having authored 37 papers that have together received 509 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (20 papers), Virology and Viral Diseases (17 papers), Animal Disease Management and Epidemiology (12 papers), Viral gastroenteritis research and epidemiology (10 papers), Influenza Virus Research Studies (9 papers), Virus-based gene therapy research (8 papers), Vector-Borne Animal Diseases (7 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Animal Science and Zoology (166 citations), Agronomy and Crop Science (128 citations), Infectious Diseases (197 citations), Epidemiology (281 citations) and Genetics (105 citations). Yanlong Cong has collaborated with scholars based in China, Germany and Canada. Frequent co-authors include Chunfeng Wang, Zhuang Ding, Renfu Yin, Chan Ding, Xiufan Liu, Shengqing Yu, Guilian Yang, Shunlin Hu, Jing Qian and Jinhua Liu. Their work appears in journals such as Virus Genes, Microbial Pathogenesis, Veterinary Microbiology, Archives of Virology and Virus Research.
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.