Cuiping Song
Impact in
- Health Informatics top 1%
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies
Papers in
- Epidemiology 45
- Virology and Viral Diseases 34
- Co-authors
- Chan Ding (83 shared papers)Lei Tan (79 shared papers)Yingjie Sun (74 shared papers)Xusheng Qiu (71 shared papers)Yanping Song (1 shared paper)Ying Liao (58 shared papers)Chunchun Meng (37 shared papers)Shengqing Yu (32 shared papers)
- Journals
- Journal of Virology (8 papers)Viruses (6 papers)PLoS Pathogens (6 papers)Virology (5 papers)Frontiers in Microbiology (4 papers)
- Partner nations
- ChinaUnited KingdomPakistan
In The Last Decade
Cuiping Song
101 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 137
- Health Informatics 95
- Animal Science and Zoology 621
- Infectious Diseases 502
- Epidemiology 845
- Immunology 490
Countries citing papers authored by Cuiping Song
This map shows the geographic impact of Cuiping Song'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 Cuiping Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuiping Song more than expected).
Fields of papers citing papers by Cuiping Song
This network shows the impact of papers produced by Cuiping Song. 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 Cuiping Song. The network helps show where Cuiping Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Cuiping Song, 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 290 | |
| 2 | 2021 | 125 | |
| 3 | 2019 | 117 | |
| 4 | 2013 | 98 | |
| 5 | 2019 | 82 | |
| 6 | 2017 | 81 | |
| 7 | 2021 | 77 | |
| 8 | 2020 | 57 | |
| 9 | 2014 | 56 | |
| 10 | 2016 | 53 | |
| 11 | 2021 | 49 | |
| 12 | 2018 | 49 | |
| 13 | 2006 | 49 | |
| 14 | 2006 | 48 | |
| 15 | 2011 | 47 | |
| 16 | 2022 | 46 | |
| 17 | 2018 | 45 | |
| 18 | 2015 | 41 | |
| 19 | 2014 | 41 | |
| 20 | 2010 | 41 |
About Cuiping Song
Cuiping Song is a scholar working on Epidemiology, Molecular Biology, Animal Science and Zoology, Infectious Diseases and Immunology, having authored 111 papers that have together received 2.6k indexed citations. Recurring topics across this work include Virology and Viral Diseases (34 papers), Animal Virus Infections Studies (30 papers), Virus-based gene therapy research (21 papers), interferon and immune responses (18 papers), Viral gastroenteritis research and epidemiology (13 papers), Viral Infections and Vectors (10 papers), Mosquito-borne diseases and control (10 papers) and Animal Disease Management and Epidemiology (8 papers). The work is most often cited by research in Health Informatics (95 citations), Animal Science and Zoology (621 citations), Infectious Diseases (502 citations), Epidemiology (845 citations) and Immunology (490 citations). Cuiping Song has collaborated with scholars based in China, United Kingdom and Pakistan. Frequent co-authors include Chan Ding, Lei Tan, Yingjie Sun, Xusheng Qiu, Yanping Song, Ying Liao, Chunchun Meng, Shengqing Yu, Yuan Zhan and Hongjun Chen. Their work appears in journals such as Journal of Virology, Viruses, PLoS Pathogens, Virology 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.