Feng Cong
Impact in
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- Animal Virus Infections Studies 30
-
- Viral gastroenteritis research and epidemiology 20
- SARS-CoV-2 and COVID-19 Research 6
- Co-authors
- Lei Ma (9 shared papers)Ren Huang (10 shared papers)Yujun Zhu (18 shared papers)Bihong Huang (12 shared papers)Shengwang Liu (3 shared papers)Xiangang Kong (2 shared papers)Zongxi Han (2 shared papers)Xiaoli Liu (1 shared paper)
In The Last Decade
Feng Cong
53 papers receiving 744 citations
Peers
Comparison fields: 5 of 75
- Animal Science and Zoology 284
- Infectious Diseases 342
- Microbiology 41
- Immunology 108
- Epidemiology 160
Countries citing papers authored by Feng Cong
This map shows the geographic impact of Feng 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 Feng Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Cong more than expected).
Fields of papers citing papers by Feng Cong
This network shows the impact of papers produced by Feng 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 Feng Cong. The network helps show where Feng Cong may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 107 | |
| 2 | 2013 | 76 | |
| 3 | 2019 | 37 | |
| 4 | 2022 | 35 | |
| 5 | 2020 | 32 | |
| 6 | 2020 | 31 | |
| 7 | 2018 | 28 | |
| 8 | 2019 | 25 | |
| 9 | 2011 | 25 | |
| 10 | 2018 | 24 | |
| 11 | 2018 | 23 | |
| 12 | 2011 | 21 | |
| 13 | 2018 | 16 | |
| 14 | 2018 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 2019 | 15 | |
| 17 | 2020 | 15 | |
| 18 | 2019 | 15 | |
| 19 | 2021 | 13 | |
| 20 | 2012 | 12 |
About Feng Cong
Feng Cong is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Epidemiology and Molecular Biology, having authored 56 papers that have together received 752 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (30 papers), Viral gastroenteritis research and epidemiology (20 papers), Virus-based gene therapy research (18 papers), Herpesvirus Infections and Treatments (8 papers), Cytomegalovirus and herpesvirus research (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Viral Infections and Immunology Research (5 papers) and Virology and Viral Diseases (4 papers). The work is most often cited by research in Animal Science and Zoology (284 citations), Infectious Diseases (342 citations), Microbiology (41 citations), Immunology (108 citations) and Epidemiology (160 citations). Feng Cong has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Lei Ma, Ren Huang, Yujun Zhu, Bihong Huang, Shengwang Liu, Xiangang Kong, Zongxi Han, Xiaoli Liu, Yuhao Shao and Yinzhu Luo. Their work appears in journals such as BMC Veterinary Research, Frontiers in Veterinary Science, Transboundary and Emerging Diseases, BioMed Research International and Frontiers in Microbiology.
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.