Dandan Ning
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Extracellular vesicles in disease
- Bone Metabolism and Diseases
- Advanced biosensing and bioanalysis techniques
Papers in
-
- Advanced biosensing and bioanalysis techniques 1
- Protein Tyrosine Phosphatases 1
-
- MicroRNA in disease regulation 2
- Cancer-related molecular mechanisms research 2
- Co-authors
- Ming Su (3 shared papers)Jean X. Jiang (2 shared papers)Fusheng Jiang (4 shared papers)Huiyun Xu (2 shared papers)Jingbao Li (2 shared papers)Ruofei Liu (2 shared papers)Peng Shang (2 shared papers)Shizhu Jin (4 shared papers)
- Journals
- Cell Death Discovery (1 paper)BMB Reports (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Journal of Orthopaedic Research® (1 paper)Applied Ocean Research (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Dandan Ning
19 papers receiving 275 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 39
- Molecular Biology 136
- Orthopedics and Sports Medicine 17
- Toxicology 5
- Genetics 14
Countries citing papers authored by Dandan Ning
This map shows the geographic impact of Dandan Ning'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 Dandan Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dandan Ning more than expected).
Fields of papers citing papers by Dandan Ning
This network shows the impact of papers produced by Dandan Ning. 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 Dandan Ning. The network helps show where Dandan Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Dandan Ning, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 34 | |
| 2 | 2014 | 31 | |
| 3 | 2016 | 25 | |
| 4 | 2022 | 22 | |
| 5 | 2022 | 21 | |
| 6 | 2019 | 19 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 17 | |
| 9 | 2016 | 17 | |
| 10 | 2018 | 14 | |
| 11 | 2021 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2017 | 4 | |
| 19 | 2020 | 2 | |
| 20 | 2025 | 0 |
About Dandan Ning
Dandan Ning is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Materials Chemistry and Surgery, having authored 20 papers that have together received 279 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Biological and pharmacological studies of plants (2 papers), Cancer-related molecular mechanisms research (2 papers), 3D Printing in Biomedical Research (2 papers), Phytochemistry and Biological Activities (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Semiconductor Quantum Structures and Devices (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Cancer Research (39 citations), Molecular Biology (136 citations), Orthopedics and Sports Medicine (17 citations), Toxicology (5 citations) and Genetics (14 citations). Dandan Ning has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Ming Su, Jean X. Jiang, Fusheng Jiang, Huiyun Xu, Jingbao Li, Ruofei Liu, Peng Shang, Shizhu Jin, Meiya Li and Ruixin Yang. Their work appears in journals such as Cell Death Discovery, BMB Reports, Frontiers in Cell and Developmental Biology, Journal of Orthopaedic Research® and Applied Ocean 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.