Naijun Han
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
Papers in
-
- Cancer-related molecular mechanisms research 4
-
- Animal Disease Management and Epidemiology 4
- Co-authors
- Yanning Gao (17 shared papers)Ting Xiao (15 shared papers)Shujun Cheng (10 shared papers)Xuebing Di (8 shared papers)Suping Guo (12 shared papers)Wenyue Sun (4 shared papers)Kaitai Zhang (15 shared papers)Ying Ma (4 shared papers)
- Journals
- Lung Cancer (4 papers)Clinical Cancer Research (2 papers)PLoS ONE (2 papers)Virus Genes (1 paper)Clinical Lung Cancer (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Naijun Han
32 papers receiving 949 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 230
- Oncology 192
- Pulmonary and Respiratory Medicine 179
- Molecular Biology 408
- Rheumatology 84
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 144 | |
| 2 | 2005 | 141 | |
| 3 | 2005 | 115 | |
| 4 | 2007 | 75 | |
| 5 | 2006 | 60 | |
| 6 | 2014 | 57 | |
| 7 | 2010 | 49 | |
| 8 | 2022 | 29 | |
| 9 | 2015 | 28 | |
| 10 | 2013 | 27 | |
| 11 | 2012 | 24 | |
| 12 | 2014 | 23 | |
| 13 | 2008 | 20 | |
| 14 | 2009 | 18 | |
| 15 | 2012 | 17 | |
| 16 | 2014 | 14 | |
| 17 | 2016 | 14 | |
| 18 | 2010 | 13 | |
| 19 | 2013 | 12 | |
| 20 | 2022 | 12 |
About Naijun Han
Naijun Han is a scholar working on Cancer Research, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Cardiology and Cardiovascular Medicine and Oncology, having authored 32 papers that have together received 965 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (4 papers), Cancer-related molecular mechanisms research (4 papers), Viral Infections and Immunology Research (4 papers), Peptidase Inhibition and Analysis (4 papers), Vector-Borne Animal Diseases (4 papers), Advanced Proteomics Techniques and Applications (2 papers), Heat shock proteins research (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Cancer Research (230 citations), Oncology (192 citations), Pulmonary and Respiratory Medicine (179 citations), Molecular Biology (408 citations) and Rheumatology (84 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, Suping Guo, Wenyue Sun, Kaitai Zhang, Ying Ma, Dongmei Lin and Lin Feng. Their work appears in journals such as Lung Cancer, Clinical Cancer Research, PLoS ONE, Virus Genes and Clinical Lung Cancer.
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.