Na Han
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 5%
- Cancer Cells and Metastasis
- Lung Cancer Research Studies
Papers in
-
- Lung Cancer Treatments and Mutations 11
- Renal cell carcinoma treatment 9
- Co-authors
- Zhihui Liu (24 shared papers)Kongming Wu (10 shared papers)Xun Yuan (9 shared papers)Hanxiao Xu (7 shared papers)Qian Chu (7 shared papers)Shiying Yu (8 shared papers)Hua Wu (5 shared papers)Deuk Jae Sung (53 shared papers)
- Journals
- Abdominal Radiology (10 papers)Journal of Ethnopharmacology (8 papers)Planta Medica (5 papers)Journal of Computer Assisted Tomography (4 papers)American Journal of Roentgenology (3 papers)
- Partner nations
- ChinaSouth KoreaJapan
In The Last Decade
Na Han
151 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 109
- Cancer Research 360
- Oncology 540
- Hepatology 149
- Biological Psychiatry 38
- Molecular Biology 1.1k
Countries citing papers authored by Na Han
This map shows the geographic impact of Na 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 Na Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Han more than expected).
Fields of papers citing papers by Na Han
This network shows the impact of papers produced by Na 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 Na Han. The network helps show where Na Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Na 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 160 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 206 | |
| 2 | 2015 | 103 | |
| 3 | 2019 | 102 | |
| 4 | 2012 | 79 | |
| 5 | 2007 | 75 | |
| 6 | 2015 | 73 | |
| 7 | 2015 | 70 | |
| 8 | 2011 | 70 | |
| 9 | 2016 | 58 | |
| 10 | 2014 | 53 | |
| 11 | Interplay between long noncoding RNA ZEB1-AS1 and miR-101/ZEB1 axis regulates proliferation and migration of colorectal cancer cells. | 2018 | 53 |
| 12 | 2016 | 48 | |
| 13 | 2015 | 46 | |
| 14 | 2011 | 44 | |
| 15 | 2012 | 44 | |
| 16 | 2014 | 43 | |
| 17 | 2014 | 43 | |
| 18 | 2015 | 40 | |
| 19 | 2021 | 38 | |
| 20 | 2015 | 37 |
About Na Han
Na Han is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Surgery, having authored 160 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (14 papers), Lung Cancer Treatments and Mutations (11 papers), Renal cell carcinoma treatment (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Cancer Cells and Metastasis (6 papers), Colorectal Cancer Treatments and Studies (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and Neuroendocrine Tumor Research Advances (6 papers). The work is most often cited by research in Cancer Research (360 citations), Oncology (540 citations), Hepatology (149 citations), Biological Psychiatry (38 citations) and Molecular Biology (1.1k citations). Na Han has collaborated with scholars based in China, South Korea and Japan. Frequent co-authors include Zhihui Liu, Kongming Wu, Xun Yuan, Hanxiao Xu, Qian Chu, Shiying Yu, Hua Wu, Deuk Jae Sung, Min Ju Kim and Jun Yin. Their work appears in journals such as Abdominal Radiology, Journal of Ethnopharmacology, Planta Medica, Journal of Computer Assisted Tomography and American Journal of Roentgenology.
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.