Qin Ning
Impact in
- Infectious Diseases top 0.2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Hepatology top 0.5%
- Hepatitis C virus research
Papers in
- Epidemiology 87
- Hepatitis B Virus Studies 66
- Liver Disease Diagnosis and Treatment 37
- Hepatology 54
- Hepatitis C virus research 33
- Liver Disease and Transplantation 13
- Co-authors
- Xiaoping Luo (77 shared papers)Meifang Han (44 shared papers)Di Wu (22 shared papers)Hongwu Wang (23 shared papers)Jianping Zhao (10 shared papers)Haijing Yu (8 shared papers)Huilong Chen (3 shared papers)Wei Guo (9 shared papers)
- Journals
- Hepatology International (12 papers)Journal of Hepatology (11 papers)Frontiers in Immunology (7 papers)Pediatric Research (6 papers)PLoS ONE (6 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Qin Ning
204 papers receiving 8.7k citations
Qin Ning's Hit Papers
Peers
Comparison fields: 5 of 144
- Infectious Diseases 2.8k
- Hepatology 1.0k
- Neurology 1.4k
- Immunology 1.4k
- Epidemiology 1.9k
Countries citing papers authored by Qin Ning
This map shows the geographic impact of Qin Ning'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 Qin Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin Ning more than expected).
Fields of papers citing papers by Qin Ning
This network shows the impact of papers produced by Qin Ning. 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 Qin Ning. The network helps show where Qin Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Qin Ning, 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 208 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical and immunological features of severe and moderate coronavirus disease 2019 Hit paper breakdown → | 2020 | 3280 |
| 2 | 1998 | 257 | |
| 3 | 2010 | 233 | |
| 4 | 2016 | 189 | |
| 5 | 2014 | 180 | |
| 6 | 2021 | 167 | |
| 7 | 2003 | 156 | |
| 8 | 2017 | 133 | |
| 9 | 2020 | 131 | |
| 10 | 2015 | 113 | |
| 11 | 2009 | 109 | |
| 12 | 2000 | 102 | |
| 13 | 2015 | 100 | |
| 14 | 1997 | 91 | |
| 15 | 2020 | 89 | |
| 16 | 2017 | 72 | |
| 17 | 2019 | 69 | |
| 18 | 2018 | 69 | |
| 19 | 2015 | 68 | |
| 20 | 2015 | 64 |
About Qin Ning
Qin Ning is a scholar working on Epidemiology, Hepatology, Immunology, Molecular Biology and Infectious Diseases, having authored 208 papers that have together received 8.8k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (66 papers), Liver Disease Diagnosis and Treatment (37 papers), Hepatitis C virus research (33 papers), Animal Virus Infections Studies (13 papers), Liver Disease and Transplantation (13 papers), COVID-19 Clinical Research Studies (11 papers), Immune Cell Function and Interaction (11 papers) and interferon and immune responses (8 papers). The work is most often cited by research in Infectious Diseases (2.8k citations), Hepatology (1.0k citations), Neurology (1.4k citations), Immunology (1.4k citations) and Epidemiology (1.9k citations). Qin Ning has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaoping Luo, Meifang Han, Di Wu, Hongwu Wang, Jianping Zhao, Haijing Yu, Huilong Chen, Wei Guo, Da Huang and Tao Chen. Their work appears in journals such as Hepatology International, Journal of Hepatology, Frontiers in Immunology, Pediatric Research and PLoS ONE.
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.