Di Dai
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
- Virology 17
- HIV Research and Treatment 17
- Co-authors
- Hong Shang (14 shared papers)Xiaoxu Han (19 shared papers)Jing Liu (6 shared papers)Naren two ya Bao (1 shared paper)Fangjie Chen (1 shared paper)Zining Zhang (15 shared papers)Xiaolin Guo (3 shared papers)Yongjun Jiang (13 shared papers)
- Journals
- PLoS ONE (2 papers)JAIDS Journal of Acquired Immune Deficiency Syndromes (2 papers)AIDS Research and Human Retroviruses (2 papers)Nature Communications (2 papers)Gene (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Di Dai
43 papers receiving 537 citations
Peers
Comparison fields: 5 of 79
- Virology 144
- Infectious Diseases 142
- Hepatology 37
- Biotechnology 32
- Immunology 67
Countries citing papers authored by Di Dai
This map shows the geographic impact of Di Dai'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 Di Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Dai more than expected).
Fields of papers citing papers by Di Dai
This network shows the impact of papers produced by Di Dai. 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 Di Dai. The network helps show where Di Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Di Dai, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 50 | |
| 2 | 2011 | 43 | |
| 3 | 2020 | 36 | |
| 4 | 2010 | 32 | |
| 5 | 2010 | 30 | |
| 6 | 2007 | 29 | |
| 7 | 2021 | 25 | |
| 8 | 2007 | 24 | |
| 9 | 2011 | 24 | |
| 10 | 2024 | 22 | |
| 11 | 2025 | 21 | |
| 12 | 2023 | 20 | |
| 13 | 2021 | 18 | |
| 14 | 2013 | 15 | |
| 15 | 2008 | 13 | |
| 16 | 2024 | 11 | |
| 17 | [Efficacy of anti-HIV treatment and drug-resistance mutations in some parts of China]. | 2005 | 11 |
| 18 | 2021 | 11 | |
| 19 | 2025 | 10 | |
| 20 | 2017 | 9 |
About Di Dai
Di Dai is a scholar working on Virology, Molecular Biology, Infectious Diseases, Immunology and Biomedical Engineering, having authored 45 papers that have together received 542 indexed citations. Recurring topics across this work include HIV Research and Treatment (17 papers), HIV/AIDS drug development and treatment (7 papers), Immune Cell Function and Interaction (7 papers), HIV/AIDS Research and Interventions (5 papers), Cancer Research and Treatments (3 papers), Nanoplatforms for cancer theranostics (3 papers), Bacteriophages and microbial interactions (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Virology (144 citations), Infectious Diseases (142 citations), Hepatology (37 citations), Biotechnology (32 citations) and Immunology (67 citations). Di Dai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hong Shang, Xiaoxu Han, Jing Liu, Naren two ya Bao, Fangjie Chen, Zining Zhang, Xiaolin Guo, Yongjun Jiang, Wenqing Geng and Yanan Wang. Their work appears in journals such as PLoS ONE, JAIDS Journal of Acquired Immune Deficiency Syndromes, AIDS Research and Human Retroviruses, Nature Communications and Gene.
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.