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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- Neuroinflammation and Neurodegeneration Mechanisms 3
- Neurological Disease Mechanisms and Treatments 2
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- Cancer-related molecular mechanisms research 2
- Protease and Inhibitor Mechanisms 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)
In The Last Decade
Ding Nan
23 papers receiving 782 citations
Ding Nan's Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Medicine 100
- Biomaterials 146
- Cancer Research 145
- Neurology 79
- 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 206 | |
| 2 | 2017 | 107 | |
| 3 | 2021 | 63 | |
| 4 | Glutamine and cancer: metabolism, immune microenvironment, and therapeutic targets Hit paper breakdown → | 2025 | 53 |
| 5 | 2017 | 45 | |
| 6 | 2021 | 40 | |
| 7 | 2019 | 35 | |
| 8 | 2018 | 32 | |
| 9 | 2017 | 30 | |
| 10 | 2019 | 26 | |
| 11 | 2019 | 23 | |
| 12 | 2020 | 22 | |
| 13 | 2020 | 22 | |
| 14 | 2019 | 19 | |
| 15 | 2023 | 18 | |
| 16 | 2023 | 17 | |
| 17 | 2020 | 15 | |
| 18 | 2019 | 8 | |
| 19 | 2019 | 5 | |
| 20 | 2019 | 4 |
About Ding Nan
Ding Nan is a scholar working on Neurology, Cancer Research, Immunology, Molecular Biology and Epidemiology, having authored 23 papers that have together received 795 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Acute Ischemic Stroke Management (3 papers), Circular RNAs in diseases (2 papers), Cancer-related molecular mechanisms research (2 papers), Protease and Inhibitor Mechanisms (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Connexins and lens biology (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Molecular Medicine (100 citations), Biomaterials (146 citations), Cancer Research (145 citations), Neurology (79 citations) and Pharmaceutical Science (42 citations). Ding Nan has collaborated with scholars based in China and Australia. Frequent co-authors include Haiqiang Jin, Xiaozhong Qu, Yining Sun, Yining Huang, Weiwei Yu, Haiying Wu, Jingjing Jia, Jianwen Deng, Zemou Yu and Hong-Jun Hao. Their work appears in journals such as APOPTOSIS, Clinical Science, Translational Stroke Research, Cell Communication and Signaling and Clinical Neurology and Neurosurgery.
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.