Daixi Jiang
Impact in
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Hepatology top 10%
- Hepatitis Viruses Studies and Epidemiology
Papers in
- Epidemiology 13
- Hepatitis B Virus Studies 5
- Influenza Virus Research Studies 5
- Liver Disease Diagnosis and Treatment 4
- Respiratory viral infections research 3
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- Viral gastroenteritis research and epidemiology 6
- Co-authors
- Shigui Yang (24 shared papers)Xiaobao Zhang (17 shared papers)Danying Yan (13 shared papers)Can Chen (10 shared papers)Yuxia Du (14 shared papers)Cheng Ding (10 shared papers)Zhou Guan (6 shared papers)Xiaoxiao Liu (9 shared papers)
- Journals
- Frontiers in Public Health (6 papers)International Journal of Infectious Diseases (3 papers)International Journal of Environmental Research and Public Health (2 papers)BMJ Global Health (2 papers)BMC Immunology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Daixi Jiang
30 papers receiving 549 citations
Peers
Comparison fields: 5 of 70
- Infectious Diseases 207
- Hepatology 78
- Epidemiology 250
- Modeling and Simulation 33
- Health 37
Countries citing papers authored by Daixi Jiang
This map shows the geographic impact of Daixi Jiang'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 Daixi Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daixi Jiang more than expected).
Fields of papers citing papers by Daixi Jiang
This network shows the impact of papers produced by Daixi Jiang. 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 Daixi Jiang. The network helps show where Daixi Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daixi Jiang, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 75 | |
| 2 | 2022 | 60 | |
| 3 | 2020 | 48 | |
| 4 | 2021 | 47 | |
| 5 | 2023 | 39 | |
| 6 | 2021 | 36 | |
| 7 | 2021 | 33 | |
| 8 | 2021 | 28 | |
| 9 | 2022 | 22 | |
| 10 | 2022 | 16 | |
| 11 | 2021 | 16 | |
| 12 | 2023 | 15 | |
| 13 | 2023 | 15 | |
| 14 | 2020 | 14 | |
| 15 | 2021 | 13 | |
| 16 | 2023 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2021 | 8 |
About Daixi Jiang
Daixi Jiang is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Oncology and Hepatology, having authored 32 papers that have together received 561 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Hepatitis B Virus Studies (5 papers), Influenza Virus Research Studies (5 papers), Hepatitis Viruses Studies and Epidemiology (4 papers), Peptidase Inhibition and Analysis (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Infectious Diseases (207 citations), Hepatology (78 citations), Epidemiology (250 citations), Modeling and Simulation (33 citations) and Health (37 citations). Daixi Jiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shigui Yang, Xiaobao Zhang, Danying Yan, Can Chen, Yuxia Du, Cheng Ding, Zhou Guan, Xiaoxiao Liu, Lanjuan Li and Jianbin Zhang. Their work appears in journals such as Frontiers in Public Health, International Journal of Infectious Diseases, International Journal of Environmental Research and Public Health, BMJ Global Health and BMC Immunology.
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.