Ding Nan
Impact in
- Molecular Medicine top 5%
- Hydrogels: synthesis, properties, applications
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
- Nanoparticle-Based Drug Delivery
Papers in
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- Circular RNAs in diseases 2
- Connexins and lens biology 2
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- Neuroinflammation and Neurodegeneration Mechanisms 3
- Barrier Structure and Function Studies 2
- Neurological Disease Mechanisms and Treatments 2
- Co-authors
- Haiqiang Jin (14 shared papers)Xiaozhong Qu (4 shared papers)Yining Sun (1 shared paper)Yining Huang (12 shared papers)Weiwei Yu (9 shared papers)Haiying Wu (1 shared paper)Jingjing Jia (4 shared papers)Jianwen Deng (5 shared papers)
- Journals
- JMIR mhealth and uhealth (1 paper)Frontiers in Pharmacology (1 paper)Clinical Science (1 paper)Medicine (1 paper)Development Growth & Differentiation (1 paper)
- Partner nations
- ChinaPhilippinesAustralia
In The Last Decade
Ding Nan
22 papers receiving 719 citations
Ding Nan's Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Medicine 99
- Biomaterials 144
- Cancer Research 144
- Neurology 72
- Pharmaceutical Science 42
Countries citing papers authored by Ding Nan
This map shows the geographic impact of Ding Nan'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 Ding Nan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Nan more than expected).
Fields of papers citing papers by Ding Nan
This network shows the impact of papers produced by Ding Nan. 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 Ding Nan. The network helps show where Ding Nan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding Nan, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 197 | |
| 2 | 2017 | 105 | |
| 3 | 2021 | 58 | |
| 4 | 2017 | 44 | |
| 5 | Glutamine and cancer: metabolism, immune microenvironment, and therapeutic targets Hit paper breakdown → | 2025 | 41 |
| 6 | 2021 | 39 | |
| 7 | 2019 | 32 | |
| 8 | 2018 | 32 | |
| 9 | 2017 | 29 | |
| 10 | 2019 | 25 | |
| 11 | 2020 | 21 | |
| 12 | 2019 | 21 | |
| 13 | 2020 | 21 | |
| 14 | 2019 | 17 | |
| 15 | 2020 | 14 | |
| 16 | 2023 | 14 | |
| 17 | 2019 | 7 | |
| 18 | 2019 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2020 | 2 |
About Ding Nan
Ding Nan is a scholar working on Molecular Biology, Neurology, Cancer Research, Epidemiology and Immunology, having authored 22 papers that have together received 730 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Circular RNAs in diseases (2 papers), Barrier Structure and Function Studies (2 papers), Protease and Inhibitor Mechanisms (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers) and Connexins and lens biology (2 papers). The work is most often cited by research in Molecular Medicine (99 citations), Biomaterials (144 citations), Cancer Research (144 citations), Neurology (72 citations) and Pharmaceutical Science (42 citations). Ding Nan has collaborated with scholars based in China, Philippines and Australia. Frequent co-authors include Haiqiang Jin, Xiaozhong Qu, Yining Sun, Yining Huang, Weiwei Yu, Haiying Wu, Jingjing Jia, Jianwen Deng, Hong-Jun Hao and Zemou Yu. Their work appears in journals such as JMIR mhealth and uhealth, Frontiers in Pharmacology, Clinical Science, Medicine and Development Growth & Differentiation.
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.