Jin Cui
Impact in
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
Papers in
-
- Animal Virus Infections Studies 20
- Genetics 18
- Virus-based gene therapy research 18
- Co-authors
- Xiaofeng Ren (5 shared papers)Tanja Opriessnig (4 shared papers)Peirong Jiao (3 shared papers)Ming Liao (3 shared papers)Fei Han (2 shared papers)Runyu Yuan (2 shared papers)Tomasz Stadejek (3 shared papers)Guihong Zhang (6 shared papers)
- Journals
- Poultry Science (3 papers)Frontiers in Veterinary Science (2 papers)PLoS Pathogens (2 papers)Virus Genes (2 papers)Infection Genetics and Evolution (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jin Cui
26 papers receiving 407 citations
Peers
Comparison fields: 5 of 47
- Animal Science and Zoology 265
- Infectious Diseases 205
- Genetics 169
- Immunology 96
- Agronomy and Crop Science 43
Countries citing papers authored by Jin Cui
This map shows the geographic impact of Jin Cui'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 Jin Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Cui more than expected).
Fields of papers citing papers by Jin Cui
This network shows the impact of papers produced by Jin Cui. 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 Jin Cui. The network helps show where Jin Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Cui, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 76 | |
| 2 | 2016 | 36 | |
| 3 | 2013 | 30 | |
| 4 | 2014 | 26 | |
| 5 | 2021 | 26 | |
| 6 | 2016 | 25 | |
| 7 | 2014 | 22 | |
| 8 | 2014 | 22 | |
| 9 | 2023 | 19 | |
| 10 | 2012 | 18 | |
| 11 | 2015 | 17 | |
| 12 | 2019 | 16 | |
| 13 | 2011 | 15 | |
| 14 | 2012 | 14 | |
| 15 | 2011 | 12 | |
| 16 | 2015 | 8 | |
| 17 | 2016 | 8 | |
| 18 | 2017 | 5 | |
| 19 | 2016 | 4 | |
| 20 | 2018 | 4 |
About Jin Cui
Jin Cui is a scholar working on Animal Science and Zoology, Genetics, Infectious Diseases, Cardiology and Cardiovascular Medicine and Immunology, having authored 28 papers that have together received 416 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (20 papers), Virus-based gene therapy research (18 papers), Viral gastroenteritis research and epidemiology (13 papers), Viral Infections and Immunology Research (6 papers), interferon and immune responses (3 papers), Immune Response and Inflammation (3 papers), Vector-Borne Animal Diseases (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Animal Science and Zoology (265 citations), Infectious Diseases (205 citations), Genetics (169 citations), Immunology (96 citations) and Agronomy and Crop Science (43 citations). Jin Cui has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaofeng Ren, Tanja Opriessnig, Peirong Jiao, Ming Liao, Fei Han, Runyu Yuan, Tomasz Stadejek, Guihong Zhang, Kinga Biernacka and Jinghui Fan. Their work appears in journals such as Poultry Science, Frontiers in Veterinary Science, PLoS Pathogens, Virus Genes and Infection Genetics and 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.