Jieli Hu
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
- Epidemiology 33
- Hepatitis B Virus Studies 32
- Liver Disease Diagnosis and Treatment 5
- Hepatology 21
- Hepatitis C virus research 21
- Hepatitis Viruses Studies and Epidemiology 4
- Co-authors
- Ailong Huang (35 shared papers)Quanxin Long (13 shared papers)Haijun Deng (7 shared papers)Juan Chen (12 shared papers)Jun Yuan (2 shared papers)Yong Zhang (1 shared paper)Kun Su (1 shared paper)Jingfu Qiu (1 shared paper)
- Journals
- Journal of Medical Virology (3 papers)Frontiers in Microbiology (2 papers)PLoS Pathogens (2 papers)Journal of Clinical Microbiology (2 papers)Genes & Diseases (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jieli Hu
53 papers receiving 2.8k citations
Jieli Hu's Hit Papers
Peers
Comparison fields: 5 of 124
- Infectious Diseases 1.6k
- Modeling and Simulation 273
- Hepatology 219
- Neurology 314
- Epidemiology 485
Countries citing papers authored by Jieli Hu
This map shows the geographic impact of Jieli Hu'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 Jieli Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jieli Hu more than expected).
Fields of papers citing papers by Jieli Hu
This network shows the impact of papers produced by Jieli Hu. 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 Jieli Hu. The network helps show where Jieli Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jieli Hu, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical and immunological assessment of asymptomatic SARS-CoV-2 infections Hit paper breakdown → | 2020 | 1712 |
| 2 | 2021 | 186 | |
| 3 | 2020 | 131 | |
| 4 | 2020 | 101 | |
| 5 | 2017 | 98 | |
| 6 | 2019 | 87 | |
| 7 | 2019 | 62 | |
| 8 | 1994 | 62 | |
| 9 | 2020 | 42 | |
| 10 | 2018 | 37 | |
| 11 | 2017 | 35 | |
| 12 | 2016 | 25 | |
| 13 | 2018 | 23 | |
| 14 | 2020 | 22 | |
| 15 | 2014 | 17 | |
| 16 | 2019 | 17 | |
| 17 | 2019 | 16 | |
| 18 | 1996 | 16 | |
| 19 | 2018 | 14 | |
| 20 | 2009 | 14 |
About Jieli Hu
Jieli Hu is a scholar working on Epidemiology, Hepatology, Molecular Biology, Infectious Diseases and Ecology, having authored 54 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (32 papers), Hepatitis C virus research (21 papers), Viral gastroenteritis research and epidemiology (6 papers), Liver Disease Diagnosis and Treatment (5 papers), RNA Interference and Gene Delivery (4 papers), Hepatitis Viruses Studies and Epidemiology (4 papers), Bacteriophages and microbial interactions (4 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Infectious Diseases (1.6k citations), Modeling and Simulation (273 citations), Hepatology (219 citations), Neurology (314 citations) and Epidemiology (485 citations). Jieli Hu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ailong Huang, Quanxin Long, Haijun Deng, Juan Chen, Jun Yuan, Yong Zhang, Kun Su, Jingfu Qiu, Wei Xü and Fan Zhang. Their work appears in journals such as Journal of Medical Virology, Frontiers in Microbiology, PLoS Pathogens, Journal of Clinical Microbiology and Genes & Diseases.
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.