Juqiang Han
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Hepatology top 10%
Papers in
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- TGF-β signaling in diseases 2
- Epigenetics and DNA Methylation 2
- Circular RNAs in diseases 2
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- Cancer, Hypoxia, and Metabolism 4
- Cancer-related molecular mechanisms research 3
- MicroRNA in disease regulation 2
- Co-authors
- Lei Kang (4 shared papers)Qinong Ye (4 shared papers)Wenpeng Liu (4 shared papers)Xiaojie Xu (2 shared papers)Zhongyi Fan (2 shared papers)Tao Wang (2 shared papers)Jiahong Liu (2 shared papers)Ling Li (1 shared paper)
In The Last Decade
Juqiang Han
15 papers receiving 664 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 400
- Hepatology 72
- Molecular Biology 485
- Epidemiology 110
- Oncology 82
Countries citing papers authored by Juqiang Han
This map shows the geographic impact of Juqiang Han'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 Juqiang Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juqiang Han more than expected).
Fields of papers citing papers by Juqiang Han
This network shows the impact of papers produced by Juqiang Han. 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 Juqiang Han. The network helps show where Juqiang Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Juqiang Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 225 | |
| 2 | 2017 | 165 | |
| 3 | 2018 | 59 | |
| 4 | 2006 | 47 | |
| 5 | 2006 | 39 | |
| 6 | 2019 | 26 | |
| 7 | 2013 | 23 | |
| 8 | 2020 | 21 | |
| 9 | 2012 | 19 | |
| 10 | 2020 | 13 | |
| 11 | 2011 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2023 | 6 | |
| 14 | 2021 | 4 | |
| 15 | [An epidemiological study on physical and mental health of inhabitants who experienced a catastrophic event of "5.12 serious earthquake in Wenchuan county"]. | 2008 | 2 |
About Juqiang Han
Juqiang Han is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 15 papers that have together received 668 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (2 papers), TGF-β signaling in diseases (2 papers), Epigenetics and DNA Methylation (2 papers), Hepatitis B Virus Studies (2 papers), Circular RNAs in diseases (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (400 citations), Hepatology (72 citations), Molecular Biology (485 citations), Epidemiology (110 citations) and Oncology (82 citations). Juqiang Han has collaborated with scholars based in China, Taiwan and Czechia. Frequent co-authors include Lei Kang, Qinong Ye, Wenpeng Liu, Xiaojie Xu, Zhongyi Fan, Tao Wang, Jiahong Liu, Ling Li, Haixing Mai and Wei Zhao. Their work appears in journals such as Nucleic Acids Research, Frontiers in Cellular and Infection Microbiology, Cancer Science, Colloids and Surfaces A Physicochemical and Engineering Aspects and Cancer Letters.
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.