Nan Dai
- Molecular Biology top 5%
- RNA modifications and cancer 33
- Epigenetics and DNA Methylation 22
- RNA and protein synthesis mechanisms 18
- RNA Research and Splicing 9
- Cancer-related gene regulation 8
- DNA and Nucleic Acid Chemistry 6
- Advanced biosensing and bioanalysis techniques 6
- Inorganic Chemistry top 5%
- Cancer Research top 10%
- Parasitology top 5%
- Infectious Diseases top 10%
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- Bacteriophages and microbial interactions 8
- Co-authors
- Ivan R. CorrêaEric T. KoolZhenjun WangJeremy M. FosterThomas LavergneDenis A. MalyshevTingjian ChenFloyd E. Romesberg
- Journals
- Nucleic Acids Research (9 papers)Proceedings of the National Academy of Sciences (5 papers)Nature Communications (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Nan Dai
96 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 2.2k
- Inorganic Chemistry 252
- Cancer Research 220
- Parasitology 83
- Infectious Diseases 216
Countries citing papers authored by Nan Dai
This map shows the geographic impact of Nan 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 Nan Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Dai more than expected).
Fields of papers citing papers by Nan Dai
This network shows the impact of papers produced by Nan 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 Nan Dai. The network helps show where Nan Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 27 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 68 | |
| 14 | 2021 | 10 | |
| 15 | 2020 | 133 | |
| 16 | 2020 | 4 | |
| 17 | 2019 | 15 | |
| 18 | 2019 | 61 | |
| 19 | 2017 | 32 | |
| 20 | Neural Stem Cell Approaches to CNS Repair | 2008 | 2 |
About Nan Dai
Nan Dai is a scholar working on Molecular Biology, Virology and Renewable Energy, Sustainability and the Environment, having authored 101 papers that have together received 3.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (33 papers), Epigenetics and DNA Methylation (22 papers), RNA and protein synthesis mechanisms (18 papers), RNA Research and Splicing (9 papers), Bacteriophages and microbial interactions (8 papers), Cancer-related gene regulation (8 papers), DNA and Nucleic Acid Chemistry (6 papers) and Advanced biosensing and bioanalysis techniques (6 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Inorganic Chemistry (252 citations) and Cancer Research (220 citations). Nan Dai has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ivan R. Corrêa, Eric T. Kool, Zhenjun Wang, Jeremy M. Foster, Thomas Lavergne, Denis A. Malyshev, Tingjian Chen, Floyd E. Romesberg, Hai‐Long Jiang and Meghdad Karimi. Their work appears in journals such as Nucleic Acids Research, Proceedings of the National Academy of Sciences, Nature Communications, Journal of Biological Chemistry and Journal of Cleaner Production.
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.