Naijun Han
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Rheumatology top 10%
- Bone and Dental Protein Studies
Papers in
-
- Heat shock proteins research 2
-
- Cancer-related molecular mechanisms research 4
- 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)Wenyue Sun (4 shared papers)Ying Ma (4 shared papers)
- Journals
- Lung Cancer (4 papers)Clinical Cancer Research (2 papers)PLoS ONE (2 papers)Biochemical and Biophysical Research Communications (1 paper)Gene (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Naijun Han
33 papers receiving 707 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 167
- Rheumatology 81
- Oncology 143
- Agronomy and Crop Science 52
- Molecular Biology 320
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 138 | |
| 2 | 2007 | 74 | |
| 3 | 2006 | 60 | |
| 4 | 2014 | 57 | |
| 5 | 2010 | 49 | |
| 6 | 2022 | 27 | |
| 7 | 2013 | 27 | |
| 8 | 2015 | 26 | |
| 9 | 2012 | 25 | |
| 10 | 2014 | 23 | |
| 11 | 2008 | 19 | |
| 12 | 2010 | 19 | |
| 13 | 2009 | 18 | |
| 14 | 2012 | 17 | |
| 15 | 2014 | 14 | |
| 16 | 2016 | 14 | |
| 17 | 2010 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2013 | 11 | |
| 20 | 2016 | 10 |
About Naijun Han
Naijun Han is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science, having authored 33 papers that have together received 718 indexed citations. Recurring topics across this work include Vector-Borne Animal Diseases (4 papers), Animal Disease Management and Epidemiology (4 papers), Viral Infections and Immunology Research (4 papers), Cancer-related molecular mechanisms research (4 papers), Peptidase Inhibition and Analysis (3 papers), Ferroptosis and cancer prognosis (2 papers), Heat shock proteins research (2 papers) and Bone and Dental Protein Studies (2 papers). The work is most often cited by research in Cancer Research (167 citations), Rheumatology (81 citations), Oncology (143 citations), Agronomy and Crop Science (52 citations) and Molecular Biology (320 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, Wenyue Sun, Ying Ma, Dongmei Lin and Lin Feng. Their work appears in journals such as Lung Cancer, Clinical Cancer Research, PLoS ONE, Biochemical and Biophysical Research Communications and Gene.
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.