Na Fu
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
- Liver physiology and pathology
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Epidemiology 17
- Liver Disease Diagnosis and Treatment 16
-
- Heme Oxygenase-1 and Carbon Monoxide 4
- Co-authors
- Yuemin Nan (21 shared papers)Suxian Zhao (15 shared papers)Rongqi Wang (13 shared papers)Yuguo Zhang (11 shared papers)Yunfeng Lin (6 shared papers)Jinghua Du (10 shared papers)Jun Yu (3 shared papers)Jingmin Zhao (4 shared papers)
- Journals
- Cell Proliferation (4 papers)Pediatric Neurology (3 papers)Life Sciences (3 papers)Gene (2 papers)Journal of the American Chemical Society (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Na Fu
48 papers receiving 986 citations
Peers
Comparison fields: 5 of 111
- Hepatology 163
- Cancer Research 185
- Epidemiology 320
- Biochemistry 49
- Molecular Biology 404
Countries citing papers authored by Na Fu
This map shows the geographic impact of Na Fu'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 Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Fu more than expected).
Fields of papers citing papers by Na Fu
This network shows the impact of papers produced by Na Fu. 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 Fu. The network helps show where Na Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Na Fu, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 98 | |
| 2 | 2009 | 90 | |
| 3 | 2017 | 65 | |
| 4 | 2008 | 63 | |
| 5 | 2021 | 52 | |
| 6 | 2017 | 49 | |
| 7 | 2016 | 43 | |
| 8 | Role of LncRNA-activated by transforming growth factor beta in the progression of hepatitis C virus-related liver fibrosis. | 2016 | 39 |
| 9 | 1993 | 36 | |
| 10 | 2010 | 35 | |
| 11 | 2020 | 34 | |
| 12 | 2019 | 34 | |
| 13 | 2012 | 28 | |
| 14 | 2013 | 24 | |
| 15 | 2019 | 22 | |
| 16 | 2016 | 22 | |
| 17 | 2016 | 20 | |
| 18 | 2016 | 19 | |
| 19 | 2015 | 18 | |
| 20 | 2003 | 18 |
About Na Fu
Na Fu is a scholar working on Epidemiology, Molecular Biology, Hepatology, Cancer Research and Physiology, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (16 papers), Liver physiology and pathology (5 papers), Hepatitis C virus research (5 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers), Mesenchymal stem cell research (3 papers), Immune Cell Function and Interaction (3 papers), Diet and metabolism studies (3 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Hepatology (163 citations), Cancer Research (185 citations), Epidemiology (320 citations), Biochemistry (49 citations) and Molecular Biology (404 citations). Na Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuemin Nan, Suxian Zhao, Rongqi Wang, Yuguo Zhang, Yunfeng Lin, Jinghua Du, Jun Yu, Jingmin Zhao, Wenjuan Wu and Jiong Qin. Their work appears in journals such as Cell Proliferation, Pediatric Neurology, Life Sciences, Gene and Journal of the American Chemical Society.
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.