Dou Ke-feng
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 10%
Papers in
-
- Circular RNAs in diseases 5
- RNA modifications and cancer 3
- TGF-β signaling in diseases 2
- Oncology 7
- Cancer Cells and Metastasis 4
- Pancreatic and Hepatic Oncology Research 2
- Co-authors
- Kaishan Tao (8 shared papers)Hua Han (3 shared papers)Wenjie Song (2 shared papers)Desheng Wang (3 shared papers)Zhi‐Nan Chen (2 shared papers)Pu Zhao (2 shared papers)Lin Wang (3 shared papers)Fei He (3 shared papers)
- Journals
- PLoS ONE (4 papers)Oncology Reports (3 papers)Hepatology (2 papers)Nature Communications (1 paper)Cancer Cell International (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Dou Ke-feng
32 papers receiving 845 citations
Peers
Comparison fields: 5 of 86
- Cancer Research 296
- Hepatology 73
- Molecular Biology 468
- Oncology 143
- Immunology and Allergy 26
Countries citing papers authored by Dou Ke-feng
This map shows the geographic impact of Dou Ke-feng'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 Dou Ke-feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dou Ke-feng more than expected).
Fields of papers citing papers by Dou Ke-feng
This network shows the impact of papers produced by Dou Ke-feng. 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 Dou Ke-feng. The network helps show where Dou Ke-feng may publish in the future.
Co-authors
The 25 scholars most cited alongside Dou Ke-feng, 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 | 2013 | 133 | |
| 2 | 2011 | 97 | |
| 3 | 2014 | 95 | |
| 4 | 2021 | 73 | |
| 5 | 2013 | 63 | |
| 6 | 2009 | 62 | |
| 7 | 2009 | 33 | |
| 8 | 2008 | 33 | |
| 9 | Significance of serum microRNA-21 in diagnosis of hepatocellular carcinoma (HCC): clinical analyses of patients and an HCC rat model. | 2015 | 31 |
| 10 | 2014 | 26 | |
| 11 | 2014 | 25 | |
| 12 | 2009 | 24 | |
| 13 | 2021 | 22 | |
| 14 | 2010 | 21 | |
| 15 | 2012 | 19 | |
| 16 | 2015 | 16 | |
| 17 | Prevention of pancreatic leakage after pancreaticoduodenectomy by modified Child pancreaticojejunostomy. | 2008 | 14 |
| 18 | 2011 | 11 | |
| 19 | A rat model for acute hepatic failure. | 2003 | 11 |
| 20 | 2018 | 10 |
About Dou Ke-feng
Dou Ke-feng is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Epidemiology, having authored 33 papers that have together received 855 indexed citations. Recurring topics across this work include Circular RNAs in diseases (5 papers), Cancer-related molecular mechanisms research (5 papers), Cancer Cells and Metastasis (4 papers), MicroRNA in disease regulation (4 papers), Liver Disease Diagnosis and Treatment (3 papers), RNA modifications and cancer (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Cancer Research (296 citations), Hepatology (73 citations), Molecular Biology (468 citations), Oncology (143 citations) and Immunology and Allergy (26 citations). Dou Ke-feng has collaborated with scholars based in China and United States. Frequent co-authors include Kaishan Tao, Hua Han, Wenjie Song, Desheng Wang, Zhi‐Nan Chen, Pu Zhao, Lin Wang, Fei He, Zheng Dang and Ti Zhou. Their work appears in journals such as PLoS ONE, Oncology Reports, Hepatology, Nature Communications and Cancer Cell International.
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.