Jia Wei
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 11
- COVID-19 Clinical Research Studies 9
- SARS-CoV-2 detection and testing 4
-
- Pneumonia and Respiratory Infections 3
- Sepsis Diagnosis and Treatment 3
- Co-authors
- John S. Ji (5 shared papers)Anna Zhu (1 shared paper)David W. Eyre (9 shared papers)Junfeng Jim Zhang (1 shared paper)Tarannum Jaleel (1 shared paper)Amanda S. MacLeod (1 shared paper)Peter W Marks (1 shared paper)Kevin Z Yuan (5 shared papers)
- Journals
- Nature Communications (6 papers)Journal of Infection (3 papers)Scientific Reports (3 papers)Clinical Infectious Diseases (2 papers)BMC Infectious Diseases (2 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Jia Wei
42 papers receiving 1.3k citations
Jia Wei's Hit Papers
Peers
Comparison fields: 5 of 94
- Infectious Diseases 798
- Modeling and Simulation 122
- Applied Microbiology and Biotechnology 21
- Health 85
- Neurology 124
Countries citing papers authored by Jia Wei
This map shows the geographic impact of Jia Wei'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 Jia Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Wei more than expected).
Fields of papers citing papers by Jia Wei
This network shows the impact of papers produced by Jia Wei. 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 Jia Wei. The network helps show where Jia Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jia Wei, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 226 | |
| 2 | 2021 | 214 | |
| 3 | Antibody responses and correlates of protection in the general population after two doses of the ChAdOx1 or BNT162b2 vaccines Hit paper breakdown → | 2022 | 158 |
| 4 | 2021 | 89 | |
| 5 | 2021 | 84 | |
| 6 | 2021 | 60 | |
| 7 | 2022 | 58 | |
| 8 | 2019 | 53 | |
| 9 | 2023 | 41 | |
| 10 | 2023 | 36 | |
| 11 | 2024 | 36 | |
| 12 | 2021 | 30 | |
| 13 | 2022 | 23 | |
| 14 | 2023 | 22 | |
| 15 | 2020 | 16 | |
| 16 | 2018 | 15 | |
| 17 | 2023 | 13 | |
| 18 | 2024 | 12 | |
| 19 | 2018 | 11 | |
| 20 | 2022 | 11 |
About Jia Wei
Jia Wei is a scholar working on Infectious Diseases, Epidemiology, Modeling and Simulation, Molecular Medicine and Neurology, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (9 papers), SARS-CoV-2 detection and testing (4 papers), Pneumonia and Respiratory Infections (3 papers), Sepsis Diagnosis and Treatment (3 papers), COVID-19 epidemiological studies (2 papers), Vitamin D Research Studies (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Infectious Diseases (798 citations), Modeling and Simulation (122 citations), Applied Microbiology and Biotechnology (21 citations), Health (85 citations) and Neurology (124 citations). Jia Wei has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include John S. Ji, Anna Zhu, David W. Eyre, Junfeng Jim Zhang, Tarannum Jaleel, Amanda S. MacLeod, Peter W Marks, Kevin Z Yuan, Matthias Erwin Futschik and Yangmu Huang. Their work appears in journals such as Nature Communications, Journal of Infection, Scientific Reports, Clinical Infectious Diseases and BMC Infectious 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.