Daixi Jiang

875 citations
31 papers · 523 indexed · h-index 14
  • Hepatology top 5%
    • Hepatitis Viruses Studies and Epidemiology 9
    • Liver Disease and Transplantation 5
    • Viral gastroenteritis research and epidemiology 8
    • COVID-19 epidemiological studies 7
  • Epidemiology top 10%
    • Hepatitis B Virus Studies 8
    • Liver Disease Diagnosis and Treatment 7
    • Influenza Virus Research Studies 5
    • Respiratory viral infections research 4
  • Health top 10%

Daixi Jiang

29 papers receiving 510 citations

Peers

Daixi Jiang
Comparison fields: 5 of 80
  • Hepatology 134
  • Infectious Diseases 243
  • Modeling and Simulation 48
  • Epidemiology 282
  • Health 60
Replace Danying Yan with:
Danying Yan China
Sirapa Klinfueng Thailand
Ann H. Wong China
Jim McMenamin United Kingdom
Ko‐Yung Sit Hong Kong
Murray Kimmel United States
Rosalind Hollingsworth United States
J. Abdelwahab United States
Avi Collins United States
Richard Nathan United States
Daixi Jiang relative to Danying Yan China Danying Yan's profile →
Citations per field
00.5×1.5×2.0×
Danying Yan · 1×
Citations per year

Countries citing papers authored by Daixi Jiang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Daixi Jiang Line = papers co-authored together Daixi Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20241
4 20246
5 20241
6 20242
7 202313
8 202338
9 202310
10 20225
11 202271
12 202215
13 202133
14 202125
15 202113
16 202144
17 202110
18 20216
19 20214
20 202011

About Daixi Jiang

Daixi Jiang is a scholar working on Hepatology, Modeling and Simulation, Infectious Diseases, Epidemiology 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), Viral gastroenteritis research and epidemiology (8 papers), Hepatitis B Virus Studies (8 papers), COVID-19 epidemiological studies (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Influenza Virus Research Studies (5 papers), Liver Disease and Transplantation (5 papers) and Respiratory viral infections 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, Yuanwen Chen 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026