Ranran Duan
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Extracellular vesicles in disease 3
-
- Multiple Sclerosis Research Studies 9
- Co-authors
- Yanjie Jia (23 shared papers)Yaobing Yao (20 shared papers)Yanfei Li (7 shared papers)Kaimin Wu (5 shared papers)Yan Zhou (2 shared papers)Lijun Jing (14 shared papers)Yanhui Lu (3 shared papers)Ruiyi Zhang (3 shared papers)
- Journals
- Frontiers in Neurology (7 papers)Frontiers in Neuroscience (3 papers)Frontiers in Aging Neuroscience (2 papers)CNS Neuroscience & Therapeutics (1 paper)Small (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ranran Duan
34 papers receiving 803 citations
Peers
Comparison fields: 5 of 74
- Genetics 139
- Cancer Research 187
- Pathology and Forensic Medicine 204
- Neurology 79
- Developmental Neuroscience 38
Countries citing papers authored by Ranran Duan
This map shows the geographic impact of Ranran Duan'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 Ranran Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranran Duan more than expected).
Fields of papers citing papers by Ranran Duan
This network shows the impact of papers produced by Ranran Duan. 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 Ranran Duan. The network helps show where Ranran Duan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ranran Duan, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 158 | |
| 2 | 2019 | 154 | |
| 3 | 2021 | 99 | |
| 4 | 2019 | 51 | |
| 5 | 2018 | 50 | |
| 6 | 2022 | 28 | |
| 7 | 2021 | 25 | |
| 8 | 2014 | 25 | |
| 9 | 2021 | 24 | |
| 10 | 2019 | 20 | |
| 11 | 2021 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2014 | 14 | |
| 14 | 2022 | 13 | |
| 15 | 2014 | 12 | |
| 16 | 2022 | 12 | |
| 17 | 2021 | 10 | |
| 18 | 2024 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2021 | 7 |
About Ranran Duan
Ranran Duan is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cancer Research, Neurology and Genetics, having authored 34 papers that have together received 808 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (9 papers), MicroRNA in disease regulation (5 papers), Mesenchymal stem cell research (4 papers), Cancer-related molecular mechanisms research (4 papers), Extracellular vesicles in disease (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Advanced Nanomaterials in Catalysis (2 papers). The work is most often cited by research in Genetics (139 citations), Cancer Research (187 citations), Pathology and Forensic Medicine (204 citations), Neurology (79 citations) and Developmental Neuroscience (38 citations). Ranran Duan has collaborated with scholars based in China and United States. Frequent co-authors include Yanjie Jia, Yaobing Yao, Yanfei Li, Kaimin Wu, Yan Zhou, Lijun Jing, Yanhui Lu, Ruiyi Zhang, Linlin Han and Zhe Gong. Their work appears in journals such as Frontiers in Neurology, Frontiers in Neuroscience, Frontiers in Aging Neuroscience, CNS Neuroscience & Therapeutics and Small.
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.