Dinghui Dai
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- RNA Research and Splicing 13
- RNA modifications and cancer 11
- Circular RNAs in diseases 7
- Gut microbiota and health 3
- Muscle Physiology and Disorders 3
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- Cancer-related molecular mechanisms research 14
- MicroRNA in disease regulation 7
- Co-authors
- Linjie Wang (27 shared papers)Siyuan Zhan (27 shared papers)Jiazhong Guo (26 shared papers)Hongping Zhang (27 shared papers)Tao Zhong (27 shared papers)Li Li (25 shared papers)Ming Zhang (4 shared papers)Changjun Zeng (4 shared papers)
In The Last Decade
Dinghui Dai
28 papers receiving 403 citations
Peers
Comparison fields: 5 of 60
- Reproductive Medicine 110
- Cancer Research 192
- Physiology 17
- Molecular Biology 254
- Public Health, Environmental and Occupational Health 83
Countries citing papers authored by Dinghui Dai
This map shows the geographic impact of Dinghui Dai'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 Dinghui Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dinghui Dai more than expected).
Fields of papers citing papers by Dinghui Dai
This network shows the impact of papers produced by Dinghui Dai. 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 Dinghui Dai. The network helps show where Dinghui Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Dinghui Dai, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 63 | |
| 2 | 2019 | 58 | |
| 3 | 2021 | 56 | |
| 4 | 2017 | 36 | |
| 5 | 2020 | 20 | |
| 6 | 2016 | 18 | |
| 7 | 2021 | 17 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 13 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2023 | 4 |
About Dinghui Dai
Dinghui Dai is a scholar working on Molecular Biology, Cancer Research, Agronomy and Crop Science, Genetics and Reproductive Medicine, having authored 31 papers that have together received 406 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (14 papers), RNA Research and Splicing (13 papers), RNA modifications and cancer (11 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (7 papers), Gut microbiota and health (3 papers), Sperm and Testicular Function (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Reproductive Medicine (110 citations), Cancer Research (192 citations), Physiology (17 citations), Molecular Biology (254 citations) and Public Health, Environmental and Occupational Health (83 citations). Dinghui Dai has collaborated with scholars based in China, Uruguay and Pakistan. Frequent co-authors include Linjie Wang, Siyuan Zhan, Jiazhong Guo, Hongping Zhang, Tao Zhong, Li Li, Ming Zhang, Changjun Zeng, Guangbin Zhou and Jiaxue Cao. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Veterinary Science, International Journal of Biological Macromolecules, Cells and Animals.
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.