Biao Di

4.1k citations
82 papers · 1.6k · h-index 24

Impact in

Papers in

    • Viral Infections and Vectors 14
    • Viral gastroenteritis research and epidemiology 6
    • SARS-CoV-2 and COVID-19 Research 5
    • Influenza Virus Research Studies 14
    • Respiratory viral infections research 10

Biao Di

77 papers receiving 1.6k citations

Peers

Biao Di
Comparison fields: 5 of 105
  • Infectious Diseases 707
  • Public Health, Environmental and Occupational Health 568
  • Agronomy and Crop Science 216
  • Modeling and Simulation 80
  • Epidemiology 457
Replace Weizhong Yang with:
Weizhong Yang China
Yi Tan United States
Hossain M. S. Sazzad Bangladesh
Shelan Liu China
Santosh Jadhav India
Stephen R. Welch United States
Amy L. Hartman United States
Joseph Prescott United States
Simon J. Anthony United States
C Hannoun France
Biao Di relative to Weizhong Yang China Weizhong Yang's profile →
Citations per field
00.5×1.5×
Weizhong Yang · 1×
Citations per year

Countries citing papers authored by Biao Di

Since Specialization
Citations

This map shows the geographic impact of Biao Di'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 Biao Di with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biao Di more than expected).

Fields of papers citing papers by Biao Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Biao Di. 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 Biao Di. The network helps show where Biao Di may publish in the future.

Co-authors

The 25 scholars most cited alongside Biao Di, 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 Biao Di Line = papers co-authored together Biao Di links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006118
2 2006115
3 2004101
4 201586
5 201160
6 201553
7 201751
8 201450
9 201346
10 200642
11 201240
12 201240
13 200539
14 201138
15 201138
16 201936
17 201435
18 200635
19 201333
20 201331

About Biao Di

Biao Di is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (23 papers), Influenza Virus Research Studies (14 papers), Viral Infections and Vectors (14 papers), Respiratory viral infections research (10 papers), Malaria Research and Control (9 papers), Viral gastroenteritis research and epidemiology (6 papers), Animal Disease Management and Epidemiology (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Infectious Diseases (707 citations), Public Health, Environmental and Occupational Health (568 citations), Agronomy and Crop Science (216 citations), Modeling and Simulation (80 citations) and Epidemiology (457 citations). Biao Di has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhicong Yang, Yadi Wang, Lei Luo, Wei Hao, Yuxian Pan, Kwok‐Yung Yuen, Ming Wang, Xincai Xiao, Ming Wang and Liwen Qiu. Their work appears in journals such as Clinical and Vaccine Immunology, PLoS ONE, Emerging infectious diseases, Virology Journal 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.

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