Zhihui Dou
Impact in
- Virology top 2%
- HIV Research and Treatment
- Infectious Diseases top 2%
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
Papers in
-
- HIV/AIDS Research and Interventions 16
- HIV/AIDS drug development and treatment 7
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- RNA Research and Splicing 7
- RNA modifications and cancer 4
- Co-authors
- Fujie Zhang (31 shared papers)Ye Ma (25 shared papers)Yan Zhao (20 shared papers)Decai Zhao (21 shared papers)Marc Bulterys (9 shared papers)Ray Y. Chen (5 shared papers)Hao Zhu (6 shared papers)Hong Zhang (6 shared papers)
- Journals
- JAIDS Journal of Acquired Immune Deficiency Syndromes (6 papers)PLoS ONE (4 papers)Clinical Infectious Diseases (4 papers)China CDC Weekly (3 papers)AIDS Care (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Zhihui Dou
53 papers receiving 1.6k citations
Zhihui Dou's Hit Papers
Peers
Comparison fields: 5 of 102
- Virology 272
- Infectious Diseases 654
- Emergency Medicine 117
- Epidemiology 325
- Hepatology 73
Countries citing papers authored by Zhihui Dou
This map shows the geographic impact of Zhihui Dou'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 Zhihui Dou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhihui Dou more than expected).
Fields of papers citing papers by Zhihui Dou
This network shows the impact of papers produced by Zhihui Dou. 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 Zhihui Dou. The network helps show where Zhihui Dou may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhihui Dou, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mutant p53 in cancer: from molecular mechanism to therapeutic modulation Hit paper breakdown → | 2022 | 254 |
| 2 | 2011 | 222 | |
| 3 | 2021 | 100 | |
| 4 | 2014 | 99 | |
| 5 | 2008 | 85 | |
| 6 | 2009 | 64 | |
| 7 | 2010 | 60 | |
| 8 | 2017 | 56 | |
| 9 | 2021 | 48 | |
| 10 | 2017 | 42 | |
| 11 | 2022 | 42 | |
| 12 | 2007 | 36 | |
| 13 | 2021 | 35 | |
| 14 | 2011 | 33 | |
| 15 | 2010 | 33 | |
| 16 | 2012 | 31 | |
| 17 | 2020 | 30 | |
| 18 | 2013 | 30 | |
| 19 | 2024 | 29 | |
| 20 | 2020 | 27 |
About Zhihui Dou
Zhihui Dou is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Virology and Emergency Medicine, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (16 papers), HIV/AIDS drug development and treatment (7 papers), RNA Research and Splicing (7 papers), HIV Research and Treatment (7 papers), HIV-related health complications and treatments (6 papers), RNA modifications and cancer (4 papers), Hepatitis B Virus Studies (3 papers) and HIV, Drug Use, Sexual Risk (3 papers). The work is most often cited by research in Virology (272 citations), Infectious Diseases (654 citations), Emergency Medicine (117 citations), Epidemiology (325 citations) and Hepatology (73 citations). Zhihui Dou has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Fujie Zhang, Ye Ma, Yan Zhao, Decai Zhao, Marc Bulterys, Ray Y. Chen, Hao Zhu, Hong Zhang, Cuixia Di and Qiang Li. Their work appears in journals such as JAIDS Journal of Acquired Immune Deficiency Syndromes, PLoS ONE, Clinical Infectious Diseases, China CDC Weekly and AIDS Care.
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.