Jinjun Guo
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Epidemiology 23
- Hepatitis B Virus Studies 21
- Liver Disease Diagnosis and Treatment 9
- Hepatology 15
- Hepatitis C virus research 14
- Hepatitis Viruses Studies and Epidemiology 3
- Co-authors
- Qingling Li (16 shared papers)Ailong Huang (9 shared papers)Bo Ning (2 shared papers)Xia Zhang (2 shared papers)Hongbin Zhang (1 shared paper)Xiaoling Wu (2 shared papers)Bo Liu (2 shared papers)Zhenzhen Zhang (1 shared paper)
- Journals
- Pure and Applied Chemistry (2 papers)Infection Genetics and Evolution (2 papers)Journal of Clinical Microbiology (2 papers)Antiviral Research (2 papers)Gut and Liver (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jinjun Guo
45 papers receiving 594 citations
Peers
Comparison fields: 5 of 88
- Hepatology 98
- Cancer Research 152
- Epidemiology 173
- Cell Biology 68
- Molecular Biology 249
Countries citing papers authored by Jinjun Guo
This map shows the geographic impact of Jinjun Guo'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 Jinjun Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinjun Guo more than expected).
Fields of papers citing papers by Jinjun Guo
This network shows the impact of papers produced by Jinjun Guo. 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 Jinjun Guo. The network helps show where Jinjun Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinjun Guo, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 159 | |
| 2 | 2006 | 56 | |
| 3 | 2015 | 32 | |
| 4 | 1998 | 23 | |
| 5 | 2008 | 23 | |
| 6 | 2020 | 18 | |
| 7 | 2011 | 17 | |
| 8 | 2009 | 16 | |
| 9 | 2008 | 16 | |
| 10 | 2011 | 15 | |
| 11 | 2015 | 14 | |
| 12 | 2015 | 12 | |
| 13 | 2012 | 11 | |
| 14 | 2024 | 11 | |
| 15 | 2024 | 11 | |
| 16 | 2014 | 11 | |
| 17 | 2017 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2013 | 10 | |
| 20 | Histone deacetylation is involved in activation of CXCL10 upon IFNgamma stimulation. | 2006 | 10 |
About Jinjun Guo
Jinjun Guo is a scholar working on Epidemiology, Hepatology, Molecular Biology, Immunology and Cancer Research, having authored 48 papers that have together received 601 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (21 papers), Hepatitis C virus research (14 papers), Liver Disease Diagnosis and Treatment (9 papers), FOXO transcription factor regulation (3 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), RNA Interference and Gene Delivery (2 papers), Circular RNAs in diseases (2 papers) and Aldose Reductase and Taurine (2 papers). The work is most often cited by research in Hepatology (98 citations), Cancer Research (152 citations), Epidemiology (173 citations), Cell Biology (68 citations) and Molecular Biology (249 citations). Jinjun Guo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qingling Li, Ailong Huang, Bo Ning, Xia Zhang, Hongbin Zhang, Xiaoling Wu, Bo Liu, Zhenzhen Zhang, Stephen S. Chung and Jun Hu. Their work appears in journals such as Pure and Applied Chemistry, Infection Genetics and Evolution, Journal of Clinical Microbiology, Antiviral Research and Gut and Liver.
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.