Ning Ding
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
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- Epigenetics and DNA Methylation 7
- RNA modifications and cancer 7
- Circular RNAs in diseases 4
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- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 6
- Co-authors
- Kohei Sano (5 shared papers)Hideo Saji (5 shared papers)Masahiro Ono (5 shared papers)Yujiao Li (5 shared papers)Anning Yang (7 shared papers)Huiping Zhang (8 shared papers)Xiaohui Yu (5 shared papers)Jun Deguchi (3 shared papers)
In The Last Decade
Ning Ding
52 papers receiving 994 citations
Peers
Comparison fields: 5 of 115
- Cancer Research 198
- Biomaterials 124
- Immunology 108
- Molecular Biology 366
- Rheumatology 69
Countries citing papers authored by Ning Ding
This map shows the geographic impact of Ning Ding'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 Ning Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Ding more than expected).
Fields of papers citing papers by Ning Ding
This network shows the impact of papers produced by Ning Ding. 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 Ning Ding. The network helps show where Ning Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Ding, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 77 | |
| 2 | 2015 | 73 | |
| 3 | Proceedings of the 17th International Conference on Computers in Education | 2009 | 52 |
| 4 | 2018 | 51 | |
| 5 | 2012 | 50 | |
| 6 | 2015 | 47 | |
| 7 | 2015 | 41 | |
| 8 | 2021 | 32 | |
| 9 | 2016 | 32 | |
| 10 | 2015 | 28 | |
| 11 | 2017 | 27 | |
| 12 | 2017 | 25 | |
| 13 | 2020 | 25 | |
| 14 | 2010 | 25 | |
| 15 | 2021 | 23 | |
| 16 | 2021 | 23 | |
| 17 | 2018 | 20 | |
| 18 | 2012 | 20 | |
| 19 | 2018 | 20 | |
| 20 | 2022 | 19 |
About Ning Ding
Ning Ding is a scholar working on Molecular Biology, Cancer Research, Oncology, Biomedical Engineering and Immunology, having authored 53 papers that have together received 1000 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (6 papers), Nanoplatforms for cancer theranostics (6 papers), Circular RNAs in diseases (4 papers), Folate and B Vitamins Research (3 papers) and Nanoparticle-Based Drug Delivery (3 papers). The work is most often cited by research in Cancer Research (198 citations), Biomaterials (124 citations), Immunology (108 citations), Molecular Biology (366 citations) and Rheumatology (69 citations). Ning Ding has collaborated with scholars based in China, Japan and Ethiopia. Frequent co-authors include Kohei Sano, Hideo Saji, Masahiro Ono, Yujiao Li, Anning Yang, Huiping Zhang, Xiaohui Yu, Jun Deguchi, Yumei Ding and Yideng Jiang. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, Cell Biochemistry and Biophysics, Food Bioscience, Cancer Investigation and Biological Trace Element Research.
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.