Ningyi Jin
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
- Virology top 5%
Papers in
- Epidemiology 42
- Influenza Virus Research Studies 15
- Herpesvirus Infections and Treatments 13
- Co-authors
- Chang Li (53 shared papers)Xiao Li (30 shared papers)Mingyao Tian (24 shared papers)Maopeng Wang (18 shared papers)Shouwen Du (26 shared papers)Huijun Lu (14 shared papers)Dayong Ren (12 shared papers)Ronglan Yin (4 shared papers)
- Journals
- International Journal of Molecular Sciences (4 papers)Science China Life Sciences (3 papers)Frontiers in Immunology (3 papers)International Journal of Biological Macromolecules (3 papers)Journal of Virology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ningyi Jin
91 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 109
- Infectious Diseases 443
- Virology 111
- Animal Science and Zoology 202
- Immunology 335
- Food Science 295
Countries citing papers authored by Ningyi Jin
This map shows the geographic impact of Ningyi Jin'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 Ningyi Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ningyi Jin more than expected).
Fields of papers citing papers by Ningyi Jin
This network shows the impact of papers produced by Ningyi Jin. 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 Ningyi Jin. The network helps show where Ningyi Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ningyi Jin, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 138 | |
| 2 | 2020 | 120 | |
| 3 | 2017 | 97 | |
| 4 | 2019 | 85 | |
| 5 | 2023 | 83 | |
| 6 | 2020 | 71 | |
| 7 | 2021 | 60 | |
| 8 | 2012 | 58 | |
| 9 | 2015 | 53 | |
| 10 | 2013 | 51 | |
| 11 | 2020 | 50 | |
| 12 | 2006 | 41 | |
| 13 | 2023 | 40 | |
| 14 | 2006 | 35 | |
| 15 | 2006 | 34 | |
| 16 | 2012 | 33 | |
| 17 | 2018 | 30 | |
| 18 | 2021 | 30 | |
| 19 | 2013 | 26 | |
| 20 | 2014 | 24 |
About Ningyi Jin
Ningyi Jin is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Immunology and Genetics, having authored 94 papers that have together received 1.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (22 papers), Influenza Virus Research Studies (15 papers), interferon and immune responses (14 papers), Herpesvirus Infections and Treatments (13 papers), Poxvirus research and outbreaks (12 papers), Animal Virus Infections Studies (12 papers), Viral gastroenteritis research and epidemiology (11 papers) and SARS-CoV-2 and COVID-19 Research (11 papers). The work is most often cited by research in Infectious Diseases (443 citations), Virology (111 citations), Animal Science and Zoology (202 citations), Immunology (335 citations) and Food Science (295 citations). Ningyi Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chang Li, Xiao Li, Mingyao Tian, Maopeng Wang, Shouwen Du, Huijun Lu, Dayong Ren, Ronglan Yin, Yanqing Qin and Letian Li. Their work appears in journals such as International Journal of Molecular Sciences, Science China Life Sciences, Frontiers in Immunology, International Journal of Biological Macromolecules and Journal of Virology.
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.