Dong Dong
Impact in
- Pharmaceutical Science top 10%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
Papers in
-
- Cancer-related molecular mechanisms research 3
- MicroRNA in disease regulation 2
- Co-authors
- Baojian Wu (3 shared papers)Weiling Xu (2 shared papers)Wu (1 shared paper)Ting Zhang (1 shared paper)Quan Quan (1 shared paper)Bao Chen (1 shared paper)Fangchao Gong (1 shared paper)Zhijie Li (1 shared paper)
- Journals
- International Journal of Nanomedicine (2 papers)Molecular Pharmaceutics (1 paper)Journal of Alzheimer s Disease (1 paper)Biochemical Pharmacology (1 paper)Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics (1 paper)
- Partner nations
- ChinaSwedenMontenegro
In The Last Decade
Dong Dong
14 papers receiving 360 citations
Peers
Comparison fields: 5 of 83
- Pharmaceutical Science 49
- Biological Psychiatry 11
- Cancer Research 65
- Biomaterials 53
- Rehabilitation 15
Countries citing papers authored by Dong Dong
This map shows the geographic impact of Dong Dong'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 Dong Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Dong more than expected).
Fields of papers citing papers by Dong Dong
This network shows the impact of papers produced by Dong Dong. 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 Dong Dong. The network helps show where Dong Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong Dong, 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 | 2012 | 83 | |
| 2 | 2016 | 46 | |
| 3 | 2019 | 34 | |
| 4 | 2019 | 32 | |
| 5 | 2015 | 30 | |
| 6 | 2019 | 24 | |
| 7 | 2018 | 23 | |
| 8 | 2021 | 22 | |
| 9 | 2021 | 21 | |
| 10 | 2023 | 16 | |
| 11 | 2017 | 14 | |
| 12 | 2023 | 14 | |
| 13 | 2018 | 2 | |
| 14 | 2017 | 1 | |
| 15 | 2025 | 0 |
About Dong Dong
Dong Dong is a scholar working on Molecular Biology, Cancer Research, Rehabilitation, Biomaterials and Rheumatology, having authored 15 papers that have together received 362 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Wound Healing and Treatments (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), MicroRNA in disease regulation (2 papers), Alzheimer's disease research and treatments (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper), Corneal Surgery and Treatments (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Pharmaceutical Science (49 citations), Biological Psychiatry (11 citations), Cancer Research (65 citations), Biomaterials (53 citations) and Rehabilitation (15 citations). Dong Dong has collaborated with scholars based in China, Sweden and Montenegro. Frequent co-authors include Baojian Wu, Weiling Xu, Wu, Ting Zhang, Quan Quan, Bao Chen, Fangchao Gong, Zhijie Li, Xue Yuan and Qian Xie. Their work appears in journals such as International Journal of Nanomedicine, Molecular Pharmaceutics, Journal of Alzheimer s Disease, Biochemical Pharmacology and Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics.
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.