Naijun Han
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- Peptidase Inhibition and Analysis
Papers in
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- RNA modifications and cancer 7
- ATP Synthase and ATPases Research 2
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- Cancer-related molecular mechanisms research 5
- Cancer, Hypoxia, and Metabolism 4
- MicroRNA in disease regulation 2
- Co-authors
- Yanning Gao (19 shared papers)Ting Xiao (17 shared papers)Shujun Cheng (12 shared papers)Xuebing Di (8 shared papers)Kaitai Zhang (17 shared papers)Suping Guo (13 shared papers)Ying Ma (4 shared papers)Wenyue Sun (4 shared papers)
- Journals
- Lung Cancer (4 papers)Clinical Cancer Research (2 papers)PLoS ONE (2 papers)Virus Research (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Naijun Han
31 papers receiving 680 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 222
- Oncology 202
- Molecular Biology 400
- Rheumatology 83
- Cell Biology 73
Countries citing papers authored by Naijun Han
This map shows the geographic impact of Naijun 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 Naijun Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naijun Han more than expected).
Fields of papers citing papers by Naijun Han
This network shows the impact of papers produced by Naijun 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 Naijun Han. The network helps show where Naijun Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Naijun 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
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 135 | |
| 2 | 2007 | 74 | |
| 3 | 2006 | 60 | |
| 4 | 2014 | 57 | |
| 5 | 2010 | 49 | |
| 6 | 2015 | 26 | |
| 7 | 2022 | 26 | |
| 8 | 2013 | 26 | |
| 9 | 2012 | 25 | |
| 10 | 2014 | 22 | |
| 11 | 2008 | 19 | |
| 12 | 2010 | 19 | |
| 13 | 2009 | 17 | |
| 14 | 2012 | 17 | |
| 15 | 2016 | 14 | |
| 16 | 2014 | 14 | |
| 17 | 2010 | 12 | |
| 18 | 2013 | 11 | |
| 19 | 2016 | 10 | |
| 20 | Latent transforming growth factor-beta binding protein-1 in circulating plasma as a novel biomarker for early detection of hepatocellular carcinoma. | 2015 | 8 |
About Naijun Han
Naijun Han is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Cell Biology, having authored 31 papers that have together received 689 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Peptidase Inhibition and Analysis (4 papers), Ferroptosis and cancer prognosis (3 papers), MicroRNA in disease regulation (2 papers), ATP Synthase and ATPases Research (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Cancer Research (222 citations), Oncology (202 citations), Molecular Biology (400 citations), Rheumatology (83 citations) and Cell Biology (73 citations). Naijun Han has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yanning Gao, Ting Xiao, Shujun Cheng, Xuebing Di, Kaitai Zhang, Suping Guo, Ying Ma, Wenyue Sun, Dongmei Lin and Lin Feng. Their work appears in journals such as Lung Cancer, Clinical Cancer Research, PLoS ONE, Virus Research and JNCI Journal of the National Cancer Institute.
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.