Dawei Cai
Impact in
- Hepatology top 0.5%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Epidemiology top 2%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Genetics 38
- Forensic and Genetic Research 21
- Genetic diversity and population structure 16
- Genetic and phenotypic traits in livestock 9
- Epidemiology 29
- Hepatitis B Virus Studies 29
- Liver Disease Diagnosis and Treatment 7
- Co-authors
- Haitao Guo (25 shared papers)Ran Yan (21 shared papers)Timothy M. Block (10 shared papers)Ju‐Tao Guo (9 shared papers)Andrea Cuconati (7 shared papers)Richeng Mao (9 shared papers)Hui Zhou (14 shared papers)Yuanjie Liu (11 shared papers)
- Journals
- Journal of Archaeological Science (9 papers)Journal of Virology (7 papers)Journal of Archaeological Science Reports (6 papers)PLoS Pathogens (6 papers)Antiviral Research (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dawei Cai
82 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 134
- Hepatology 860
- Epidemiology 1.3k
- Virology 162
- Paleontology 184
- Infectious Diseases 343
Countries citing papers authored by Dawei Cai
This map shows the geographic impact of Dawei Cai'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 Dawei Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Cai more than expected).
Fields of papers citing papers by Dawei Cai
This network shows the impact of papers produced by Dawei Cai. 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 Dawei Cai. The network helps show where Dawei Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawei Cai, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 207 | |
| 2 | 2012 | 187 | |
| 3 | 2013 | 148 | |
| 4 | 2014 | 131 | |
| 5 | 2013 | 114 | |
| 6 | 2010 | 110 | |
| 7 | 2017 | 107 | |
| 8 | 2010 | 106 | |
| 9 | 2017 | 99 | |
| 10 | 2014 | 95 | |
| 11 | 2015 | 82 | |
| 12 | 2014 | 74 | |
| 13 | 2010 | 71 | |
| 14 | 2016 | 70 | |
| 15 | 2020 | 65 | |
| 16 | 2013 | 62 | |
| 17 | 2015 | 59 | |
| 18 | 2010 | 51 | |
| 19 | 2016 | 49 | |
| 20 | 2017 | 43 |
About Dawei Cai
Dawei Cai is a scholar working on Genetics, Epidemiology, Hepatology, Molecular Biology and Infectious Diseases, having authored 92 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (29 papers), Hepatitis C virus research (23 papers), Forensic and Genetic Research (21 papers), Genetic diversity and population structure (16 papers), Genetic and phenotypic traits in livestock (9 papers), Archaeology and ancient environmental studies (8 papers), Plant Virus Research Studies (8 papers) and Liver Disease Diagnosis and Treatment (7 papers). The work is most often cited by research in Hepatology (860 citations), Epidemiology (1.3k citations), Virology (162 citations), Paleontology (184 citations) and Infectious Diseases (343 citations). Dawei Cai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Haitao Guo, Ran Yan, Timothy M. Block, Ju‐Tao Guo, Andrea Cuconati, Richeng Mao, Hui Zhou, Yuanjie Liu, Jiming Zhang and Hui Nie. Their work appears in journals such as Journal of Archaeological Science, Journal of Virology, Journal of Archaeological Science Reports, PLoS Pathogens and Antiviral Research.
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.