Enqiang Qin
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
- Hepatology top 5%
Papers in
-
- COVID-19 Clinical Research Studies 8
- Amoebic Infections and Treatments 4
- Epidemiology 16
- Liver Disease Diagnosis and Treatment 8
- Hepatitis B Virus Studies 4
- Co-authors
- Peng Zhao (13 shared papers)Jingfeng Bi (8 shared papers)Chen Zhu (5 shared papers)Dong Ji (3 shared papers)Gregory Cheng (3 shared papers)George Lau (3 shared papers)Yu Wang (2 shared papers)Jing Xu (2 shared papers)
- Journals
- Scientific Reports (4 papers)Oncotarget (3 papers)Clinical Infectious Diseases (2 papers)Frontiers in Microbiology (2 papers)Hepatology International (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Enqiang Qin
38 papers receiving 1.1k citations
Enqiang Qin's Hit Papers
Peers
Comparison fields: 5 of 109
- Infectious Diseases 661
- Hepatology 135
- Neurology 214
- Emergency Medical Services 83
- Modeling and Simulation 50
Countries citing papers authored by Enqiang Qin
This map shows the geographic impact of Enqiang Qin'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 Enqiang Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enqiang Qin more than expected).
Fields of papers citing papers by Enqiang Qin
This network shows the impact of papers produced by Enqiang Qin. 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 Enqiang Qin. The network helps show where Enqiang Qin may publish in the future.
Co-authors
The 25 scholars most cited alongside Enqiang Qin, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prediction for Progression Risk in Patients With COVID-19 Pneumonia: The CALL Score Hit paper breakdown → | 2020 | 391 |
| 2 | 2010 | 130 | |
| 3 | 2021 | 69 | |
| 4 | 2015 | 61 | |
| 5 | 2020 | 49 | |
| 6 | 2015 | 41 | |
| 7 | 2017 | 37 | |
| 8 | 2021 | 37 | |
| 9 | 2020 | 33 | |
| 10 | 2017 | 32 | |
| 11 | 2020 | 32 | |
| 12 | 2014 | 28 | |
| 13 | 2020 | 28 | |
| 14 | 2017 | 26 | |
| 15 | 2019 | 17 | |
| 16 | 2018 | 12 | |
| 17 | 2013 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2011 | 10 | |
| 20 | 2017 | 9 |
About Enqiang Qin
Enqiang Qin is a scholar working on Infectious Diseases, Epidemiology, Hepatology, Immunology and Neurology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (8 papers), COVID-19 Clinical Research Studies (8 papers), Liver Disease Diagnosis and Treatment (8 papers), Long-Term Effects of COVID-19 (7 papers), Hepatitis B Virus Studies (4 papers), Amoebic Infections and Treatments (4 papers), Immune Cell Function and Interaction (3 papers) and Immune responses and vaccinations (3 papers). The work is most often cited by research in Infectious Diseases (661 citations), Hepatology (135 citations), Neurology (214 citations), Emergency Medical Services (83 citations) and Modeling and Simulation (50 citations). Enqiang Qin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Peng Zhao, Jingfeng Bi, Chen Zhu, Dong Ji, Gregory Cheng, George Lau, Yu Wang, Jing Xu, Guofeng Chen and Lin Tan. Their work appears in journals such as Scientific Reports, Oncotarget, Clinical Infectious Diseases, Frontiers in Microbiology and Hepatology International.
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.