Na Du
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Circular RNAs in diseases 6
- Ion Transport and Channel Regulation 3
- RNA modifications and cancer 3
- Surgery 10
- Co-authors
- Bin Wang (1 shared paper)Wenshan Lv (1 shared paper)Yunyang Wang (1 shared paper)Xiujuan Jia (1 shared paper)Ying Liu (1 shared paper)Xu Hou (1 shared paper)Xinyi Fan (1 shared paper)Dan Yang (2 shared papers)
- Journals
- The FASEB Journal (2 papers)Translational Pediatrics (2 papers)Virulence (2 papers)Scientific Reports (2 papers)Gut Pathogens (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Na Du
60 papers receiving 655 citations
Peers
Comparison fields: 5 of 98
- Cancer Research 107
- Biological Psychiatry 10
- Behavioral Neuroscience 13
- Molecular Biology 241
- Endocrinology, Diabetes and Metabolism 53
Countries citing papers authored by Na Du
This map shows the geographic impact of Na Du'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 Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Du more than expected).
Fields of papers citing papers by Na Du
This network shows the impact of papers produced by Na Du. 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 Du. The network helps show where Na Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Na Du, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 107 | |
| 2 | 2020 | 41 | |
| 3 | 2019 | 41 | |
| 4 | 2018 | 35 | |
| 5 | 2021 | 28 | |
| 6 | 2019 | 28 | |
| 7 | 2016 | 26 | |
| 8 | 2017 | 21 | |
| 9 | 2017 | 19 | |
| 10 | 2021 | 19 | |
| 11 | 2020 | 18 | |
| 12 | 2023 | 16 | |
| 13 | 2017 | 16 | |
| 14 | 2022 | 15 | |
| 15 | 2019 | 15 | |
| 16 | 2018 | 13 | |
| 17 | 2018 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2021 | 11 |
About Na Du
Na Du is a scholar working on Molecular Biology, Surgery, Epidemiology, Cancer Research and Infectious Diseases, having authored 63 papers that have together received 666 indexed citations. Recurring topics across this work include Circular RNAs in diseases (6 papers), Cancer-related molecular mechanisms research (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), COVID-19 Clinical Research Studies (3 papers), Ion Transport and Channel Regulation (3 papers), Viral Infections and Immunology Research (3 papers), MicroRNA in disease regulation (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (107 citations), Biological Psychiatry (10 citations), Behavioral Neuroscience (13 citations), Molecular Biology (241 citations) and Endocrinology, Diabetes and Metabolism (53 citations). Na Du has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Bin Wang, Wenshan Lv, Yunyang Wang, Xiujuan Jia, Ying Liu, Xu Hou, Xinyi Fan, Dan Yang, Mingjin Li and Wanguo Bao. Their work appears in journals such as The FASEB Journal, Translational Pediatrics, Virulence, Scientific Reports and Gut Pathogens.
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.