Dianjun Cao
Impact in
- Hepatology top 2%
- Hepatitis Viruses Studies and Epidemiology
- Liver Disease and Transplantation
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology
Papers in
-
- Viral gastroenteritis research and epidemiology 33
-
- Animal Virus Infections Studies 19
- Co-authors
- Xiang‐Jin Meng (27 shared papers)Yanyan Ni (10 shared papers)Yao‐Wei Huang (6 shared papers)Lijuan Yuan (7 shared papers)Yasutaka Hoshino (8 shared papers)Ralph D. Sanderson (3 shared papers)Tanja Opriessnig (8 shared papers)Sakthivel Subramaniam (8 shared papers)
- Journals
- Journal of Virology (9 papers)Vaccine (5 papers)Virology (4 papers)Blood (2 papers)Virus Research (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Dianjun Cao
47 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 75
- Hepatology 436
- Infectious Diseases 971
- Animal Science and Zoology 574
- Cardiology and Cardiovascular Medicine 264
- Genetics 330
Countries citing papers authored by Dianjun Cao
This map shows the geographic impact of Dianjun Cao'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 Dianjun Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dianjun Cao more than expected).
Fields of papers citing papers by Dianjun Cao
This network shows the impact of papers produced by Dianjun Cao. 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 Dianjun Cao. The network helps show where Dianjun Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Dianjun Cao, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 124 | |
| 2 | 2012 | 110 | |
| 3 | 2000 | 88 | |
| 4 | 1998 | 85 | |
| 5 | 2002 | 71 | |
| 6 | 2017 | 68 | |
| 7 | 2012 | 61 | |
| 8 | 2015 | 57 | |
| 9 | 2010 | 56 | |
| 10 | 2014 | 56 | |
| 11 | 2009 | 55 | |
| 12 | 2014 | 51 | |
| 13 | 2011 | 47 | |
| 14 | 2012 | 43 | |
| 15 | 2002 | 42 | |
| 16 | 2016 | 37 | |
| 17 | 2017 | 37 | |
| 18 | 2012 | 32 | |
| 19 | 2012 | 32 | |
| 20 | 2013 | 31 |
About Dianjun Cao
Dianjun Cao is a scholar working on Infectious Diseases, Animal Science and Zoology, Hepatology, Cardiology and Cardiovascular Medicine and Genetics, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (33 papers), Animal Virus Infections Studies (19 papers), Hepatitis Viruses Studies and Epidemiology (16 papers), Viral Infections and Immunology Research (15 papers), Virus-based gene therapy research (8 papers), Microbial infections and disease research (3 papers), Liver Disease and Transplantation (3 papers) and Proteoglycans and glycosaminoglycans research (3 papers). The work is most often cited by research in Hepatology (436 citations), Infectious Diseases (971 citations), Animal Science and Zoology (574 citations), Cardiology and Cardiovascular Medicine (264 citations) and Genetics (330 citations). Dianjun Cao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Xiang‐Jin Meng, Yanyan Ni, Yao‐Wei Huang, Lijuan Yuan, Yasutaka Hoshino, Ralph D. Sanderson, Tanja Opriessnig, Sakthivel Subramaniam, C. Lynn Heffron and Guohua Li. Their work appears in journals such as Journal of Virology, Vaccine, Virology, Blood and Virus 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.