Degeng Wang
Impact in
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- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
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- MicroRNA in disease regulation
Papers in ⓘ
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- TGF-β signaling in diseases 4
- RNA Research and Splicing 4
- RNA modifications and cancer 4
- Gene Regulatory Network Analysis 4
- Microbial Metabolic Engineering and Bioproduction 3
- Oncology 5
- Cancer Cells and Metastasis 3
- Co-authors
- Fengqian Chen (3 shared papers)Xueqiong Zhang (2 shared papers)Limei Shen (2 shared papers)Lin Hou (2 shared papers)Leaf Huang (2 shared papers)Qi Liu (2 shared papers)Michael Gribskov (2 shared papers)Jeffrey F. Harper (1 shared paper)
- Journals
- ACS Nano (2 papers)Genes (2 papers)Journal of Biological Chemistry (2 papers)Proceedings of the National Academy of Sciences (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Degeng Wang
24 papers receiving 850 citations
Peers
Comparison fields: 5 of 101
- Oncology 214
- Cancer Research 109
- Molecular Biology 467
- Immunology 141
- Environmental Chemistry 59
Countries citing papers authored by Degeng Wang
This map shows the geographic impact of Degeng Wang'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 Degeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Degeng Wang more than expected).
Fields of papers citing papers by Degeng Wang
This network shows the impact of papers produced by Degeng Wang. 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 Degeng Wang. The network helps show where Degeng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Degeng Wang, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 161 | |
| 2 | 2003 | 126 | |
| 3 | 2018 | 76 | |
| 4 | 2008 | 72 | |
| 5 | 2003 | 60 | |
| 6 | 2018 | 58 | |
| 7 | 2017 | 51 | |
| 8 | 2017 | 39 | |
| 9 | 1998 | 37 | |
| 10 | 2002 | 27 | |
| 11 | 2014 | 19 | |
| 12 | 2016 | 19 | |
| 13 | 1998 | 17 | |
| 14 | 1998 | 15 | |
| 15 | 2010 | 14 | |
| 16 | 2022 | 12 | |
| 17 | 2014 | 11 | |
| 18 | 2005 | 11 | |
| 19 | 2019 | 10 | |
| 20 | 2020 | 8 |
About Degeng Wang
Degeng Wang is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Environmental Chemistry, having authored 24 papers that have together received 860 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), TGF-β signaling in diseases (4 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (4 papers), Gene Regulatory Network Analysis (4 papers), Cancer Cells and Metastasis (3 papers), Cancer-related molecular mechanisms research (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Oncology (214 citations), Cancer Research (109 citations), Molecular Biology (467 citations), Immunology (141 citations) and Environmental Chemistry (59 citations). Degeng Wang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Fengqian Chen, Xueqiong Zhang, Limei Shen, Lin Hou, Leaf Huang, Qi Liu, Michael Gribskov, Jeffrey F. Harper, Todd A. Anderson and Adcharee Karnjanapiboonwong. Their work appears in journals such as ACS Nano, Genes, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Scientific Reports.
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.