Fujun Dai
Impact in
- Toxicology top 10%
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Polyamine Metabolism and Applications 7
- Epigenetics and DNA Methylation 5
- Ubiquitin and proteasome pathways 2
-
- Click Chemistry and Applications 2
- Co-authors
- Zhengfang Yi (9 shared papers)Songqiang Xie (15 shared papers)Mingyao Liu (7 shared papers)Chaojie Wang (13 shared papers)Yanmin Dong (4 shared papers)Dong Zhai (3 shared papers)Yajuan Song (3 shared papers)Yihua Chen (6 shared papers)
- Journals
- Phytomedicine (2 papers)Frontiers in Oncology (2 papers)Bioorganic Chemistry (2 papers)Journal of Medicinal Chemistry (2 papers)European Journal of Medicinal Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Fujun Dai
26 papers receiving 827 citations
Peers
Comparison fields: 5 of 77
- Toxicology 31
- Biochemistry 55
- Molecular Biology 502
- Pharmacology 58
- Organic Chemistry 174
Countries citing papers authored by Fujun Dai
This map shows the geographic impact of Fujun 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 Fujun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fujun Dai more than expected).
Fields of papers citing papers by Fujun Dai
This network shows the impact of papers produced by Fujun 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 Fujun Dai. The network helps show where Fujun Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Fujun 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 115 | |
| 2 | 2012 | 88 | |
| 3 | 2017 | 82 | |
| 4 | 2011 | 74 | |
| 5 | 2012 | 71 | |
| 6 | 2016 | 59 | |
| 7 | 2014 | 38 | |
| 8 | 2014 | 35 | |
| 9 | 2017 | 33 | |
| 10 | 2016 | 31 | |
| 11 | 2018 | 27 | |
| 12 | 2017 | 23 | |
| 13 | 2021 | 20 | |
| 14 | 2021 | 19 | |
| 15 | 2017 | 18 | |
| 16 | 2014 | 15 | |
| 17 | 2023 | 13 | |
| 18 | 2018 | 13 | |
| 19 | 2015 | 12 | |
| 20 | 2018 | 11 |
About Fujun Dai
Fujun Dai is a scholar working on Molecular Biology, Organic Chemistry, Cancer Research, Pharmacology and Epidemiology, having authored 28 papers that have together received 839 indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (7 papers), Epigenetics and DNA Methylation (5 papers), Cannabis and Cannabinoid Research (4 papers), Autophagy in Disease and Therapy (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer Mechanisms and Therapy (3 papers), Click Chemistry and Applications (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Toxicology (31 citations), Biochemistry (55 citations), Molecular Biology (502 citations), Pharmacology (58 citations) and Organic Chemistry (174 citations). Fujun Dai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhengfang Yi, Songqiang Xie, Mingyao Liu, Chaojie Wang, Yanmin Dong, Dong Zhai, Yajuan Song, Yihua Chen, Li Lai and Binbin Lu. Their work appears in journals such as Phytomedicine, Frontiers in Oncology, Bioorganic Chemistry, Journal of Medicinal Chemistry and European Journal of Medicinal Chemistry.
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.