Feng Dong
Impact in
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- Glioma Diagnosis and Treatment
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- Cancer-related molecular mechanisms research
Papers in
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- Cancer-related gene regulation 4
- Epigenetics and DNA Methylation 3
- Protein Degradation and Inhibitors 2
- RNA modifications and cancer 2
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- Thyroid Cancer Diagnosis and Treatment 5
- Thyroid Disorders and Treatments 3
- Co-authors
- Xudong Wu (6 shared papers)Chao Yang (3 shared papers)Chunsheng Kang (3 shared papers)Yu Kong (3 shared papers)Xing Liu (2 shared papers)Xianyou Xia (2 shared papers)Yan Zhou (2 shared papers)Jian Tan (5 shared papers)
In The Last Decade
Feng Dong
21 papers receiving 451 citations
Peers
Comparison fields: 5 of 80
- Genetics 44
- Cancer Research 55
- Molecular Biology 233
- Endocrinology, Diabetes and Metabolism 50
- Oncology 44
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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 94 | |
| 2 | 2019 | 67 | |
| 3 | 2020 | 54 | |
| 4 | 2020 | 51 | |
| 5 | 2018 | 36 | |
| 6 | 2010 | 22 | |
| 7 | 2014 | 21 | |
| 8 | 2021 | 19 | |
| 9 | 2019 | 17 | |
| 10 | 2015 | 10 | |
| 11 | 2009 | 10 | |
| 12 | 2020 | 9 | |
| 13 | 2010 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2024 | 7 | |
| 16 | Postoperative carbon ion radiotherapy for keloids: a preliminary report of 16 cases and review of the literature. | 2014 | 6 |
| 17 | 2021 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2025 | 4 | |
| 20 | 2011 | 2 |
About Feng Dong
Feng Dong is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 23 papers that have together received 455 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (5 papers), Cancer-related gene regulation (4 papers), Thyroid Disorders and Treatments (3 papers), Epigenetics and DNA Methylation (3 papers), Protein Degradation and Inhibitors (2 papers), Cancer Mechanisms and Therapy (2 papers), Bone health and treatments (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Genetics (44 citations), Cancer Research (55 citations), Molecular Biology (233 citations), Endocrinology, Diabetes and Metabolism (50 citations) and Oncology (44 citations). Feng Dong has collaborated with scholars based in China, Hong Kong and Portugal. Frequent co-authors include Xudong Wu, Chao Yang, Chunsheng Kang, Yu Kong, Xing Liu, Xianyou Xia, Yan Zhou, Jian Tan, Dawei Huo and Wen Wang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Advanced Science, Frontiers in Bioengineering and Biotechnology, BioMed Research International and Technology in Society.
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.