Na Ding
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- Circular RNAs in diseases
- Plant Gene Expression Analysis
- RNA Research and Splicing
Papers in
-
- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 4
-
- RNA modifications and cancer 10
- Redox biology and oxidative stress 7
- Epigenetics and DNA Methylation 5
- Plant Gene Expression Analysis 3
- Co-authors
- Juan Xu (15 shared papers)Yongsheng Li (9 shared papers)Xia Li (9 shared papers)Xiaoyun Jia (2 shared papers)Runzhi Li (2 shared papers)John A. Kessler (5 shared papers)Lixin Kan (5 shared papers)Haimei Lu (4 shared papers)
- Journals
- Nucleic Acids Research (7 papers)IEEE Access (2 papers)Briefings in Bioinformatics (2 papers)Oncotarget (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Na Ding
80 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 126
- Cancer Research 425
- Molecular Biology 951
- Rheumatology 135
- Oncology 180
- Plant Science 243
Countries citing papers authored by Na Ding
This map shows the geographic impact of Na 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 Na Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Ding more than expected).
Fields of papers citing papers by Na Ding
This network shows the impact of papers produced by Na 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 Na Ding. The network helps show where Na Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Na 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 162 | |
| 2 | 2021 | 106 | |
| 3 | 2016 | 101 | |
| 4 | 2017 | 81 | |
| 5 | 2020 | 79 | |
| 6 | 2015 | 68 | |
| 7 | 2017 | 63 | |
| 8 | 2016 | 53 | |
| 9 | 2021 | 51 | |
| 10 | 2021 | 46 | |
| 11 | 2019 | 41 | |
| 12 | 2017 | 40 | |
| 13 | 2020 | 37 | |
| 14 | 2018 | 36 | |
| 15 | 2018 | 32 | |
| 16 | 2022 | 30 | |
| 17 | 2016 | 30 | |
| 18 | 2021 | 29 | |
| 19 | 2020 | 28 | |
| 20 | 2019 | 27 |
About Na Ding
Na Ding is a scholar working on Cancer Research, Molecular Biology, Immunology, Oncology and Rheumatology, having authored 82 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), Cancer-related molecular mechanisms research (8 papers), Redox biology and oxidative stress (7 papers), Heterotopic Ossification and Related Conditions (5 papers), Epigenetics and DNA Methylation (5 papers), MicroRNA in disease regulation (4 papers), Plant Molecular Biology Research (4 papers) and Plant Gene Expression Analysis (3 papers). The work is most often cited by research in Cancer Research (425 citations), Molecular Biology (951 citations), Rheumatology (135 citations), Oncology (180 citations) and Plant Science (243 citations). Na Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Juan Xu, Yongsheng Li, Xia Li, Xiaoyun Jia, Runzhi Li, John A. Kessler, Lixin Kan, Haimei Lu, Tingting Shao and Kan Chen. Their work appears in journals such as Nucleic Acids Research, IEEE Access, Briefings in Bioinformatics, Oncotarget and Journal of Biological Chemistry.
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.