Daixi Jiang
Impact in
- Hepatology top 5%
- Hepatitis Viruses Studies and Epidemiology
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
- Epidemiology 17
- Hepatitis B Virus Studies 8
- Liver Disease Diagnosis and Treatment 7
- Influenza Virus Research Studies 5
- Hepatology 13
- Hepatitis Viruses Studies and Epidemiology 9
- Liver Disease and Transplantation 5
- Hepatitis C virus research 4
- Co-authors
- Shigui Yang (23 shared papers)Xiaobao Zhang (17 shared papers)Danying Yan (13 shared papers)Can Chen (10 shared papers)Cheng Ding (10 shared papers)Yuxia Du (13 shared papers)Xiaoxiao Liu (9 shared papers)Lanjuan Li (7 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)Annals of Translational Medicine (2 papers)BMC Immunology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Daixi Jiang
29 papers receiving 510 citations
Peers
Comparison fields: 5 of 80
- Hepatology 134
- Infectious Diseases 243
- Modeling and Simulation 48
- Epidemiology 282
- Health 60
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 71 | |
| 2 | 2022 | 55 | |
| 3 | 2020 | 48 | |
| 4 | 2021 | 44 | |
| 5 | 2023 | 38 | |
| 6 | 2021 | 36 | |
| 7 | 2021 | 33 | |
| 8 | 2021 | 25 | |
| 9 | 2022 | 21 | |
| 10 | 2022 | 15 | |
| 11 | 2021 | 14 | |
| 12 | 2023 | 13 | |
| 13 | 2021 | 13 | |
| 14 | 2023 | 13 | |
| 15 | 2020 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2024 | 6 |
About Daixi Jiang
Daixi Jiang is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Modeling and Simulation and Oncology, having authored 31 papers that have together received 523 indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (9 papers), Hepatitis B Virus Studies (8 papers), Viral gastroenteritis research and epidemiology (8 papers), Liver Disease Diagnosis and Treatment (7 papers), COVID-19 epidemiological studies (7 papers), Liver Disease and Transplantation (5 papers), Influenza Virus Research Studies (5 papers) and Hepatitis C virus research (4 papers). The work is most often cited by research in Hepatology (134 citations), Infectious Diseases (243 citations), Modeling and Simulation (48 citations), Epidemiology (282 citations) and Health (60 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, Cheng Ding, Yuxia Du, Xiaoxiao Liu, Lanjuan Li, Changtai Zhu 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, Annals of Translational Medicine 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.