Feng Dong
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
-
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Cell death mechanisms and regulation
Papers in
-
- Epigenetics and DNA Methylation 3
- Ubiquitin and proteasome pathways 2
- Circular RNAs in diseases 2
- Cancer-related gene regulation 2
- Oncology 7
- Cancer-related Molecular Pathways 5
- Co-authors
- W. J. Pledger (5 shared papers)Deepak Agrawal (4 shared papers)Paul Hauser (1 shared paper)Jeffrey Winston (1 shared paper)W. Douglas Cress (1 shared paper)Tapan Bagui (1 shared paper)Dawn B. Kayda (1 shared paper)Yizhen Wang (1 shared paper)
- Journals
- Medicine (2 papers)Journal of Biological Chemistry (2 papers)Frontiers in Genetics (1 paper)Circulation (1 paper)Drug Discovery Today Technologies (1 paper)
- Partner nations
- United StatesChinaNorway
In The Last Decade
Feng Dong
15 papers receiving 381 citations
Peers
Comparison fields: 5 of 55
- Oncology 266
- Molecular Biology 269
- Cancer Research 54
- Cell Biology 63
- Biotechnology 24
Countries citing papers authored by Feng Dong
This map shows the geographic impact of Feng 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 Feng Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Dong more than expected).
Fields of papers citing papers by Feng Dong
This network shows the impact of papers produced by Feng 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 Feng Dong. The network helps show where Feng Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng 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 | 1996 | 155 | |
| 2 | 1996 | 67 | |
| 3 | 1998 | 39 | |
| 4 | 1998 | 33 | |
| 5 | Regulation of cyclin E and p27kip during mitosis in BALB/c 3T3 cells. | 1995 | 26 |
| 6 | 2021 | 24 | |
| 7 | 2017 | 11 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2019 | 4 | |
| 12 | 2015 | 4 | |
| 13 | 2016 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2011 | 1 | |
| 16 | 2021 | 0 | |
| 17 | 2025 | 0 |
About Feng Dong
Feng Dong is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 386 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Epigenetics and DNA Methylation (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Ubiquitin and proteasome pathways (2 papers), Microtubule and mitosis dynamics (2 papers), Circular RNAs in diseases (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Oncology (266 citations), Molecular Biology (269 citations), Cancer Research (54 citations), Cell Biology (63 citations) and Biotechnology (24 citations). Feng Dong has collaborated with scholars based in United States, China and Norway. Frequent co-authors include W. J. Pledger, Deepak Agrawal, Paul Hauser, Jeffrey Winston, W. Douglas Cress, Tapan Bagui, Dawn B. Kayda, Yizhen Wang, Xinyue Zhang and Xue Liu. Their work appears in journals such as Medicine, Journal of Biological Chemistry, Frontiers in Genetics, Circulation and Drug Discovery Today Technologies.
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.