Degeng Wang
Impact in
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- Cancer Immunotherapy and Biomarkers
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- RNA Research and Splicing 4
- TGF-β signaling in diseases 4
- Gene Regulatory Network Analysis 4
- RNA modifications and cancer 4
- RNA and protein synthesis mechanisms 3
- Bioinformatics and Genomic Networks 3
- Oncology 5
- Cancer Cells and Metastasis 3
- Co-authors
- Fengqian Chen (3 shared papers)Xueqiong Zhang (2 shared papers)Qi Liu (2 shared papers)Lin Hou (2 shared papers)Limei Shen (2 shared papers)Leaf Huang (2 shared papers)Michael Gribskov (2 shared papers)Jeffrey F. Harper (1 shared paper)
- Journals
- Genes (2 papers)ACS Nano (2 papers)Journal of Biological Chemistry (2 papers)Computational and Structural Biotechnology Journal (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesChinaPortugal
In The Last Decade
Degeng Wang
24 papers receiving 896 citations
Peers
Comparison fields: 5 of 101
- Oncology 199
- Cancer Research 108
- Immunology 144
- Molecular Biology 454
- Environmental Chemistry 66
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 166 | |
| 2 | 2003 | 128 | |
| 3 | 2018 | 79 | |
| 4 | 2008 | 79 | |
| 5 | 2018 | 66 | |
| 6 | 2003 | 65 | |
| 7 | 2017 | 51 | |
| 8 | 2017 | 43 | |
| 9 | 1998 | 38 | |
| 10 | 2002 | 28 | |
| 11 | 2014 | 20 | |
| 12 | 2016 | 20 | |
| 13 | 1998 | 18 | |
| 14 | 1998 | 16 | |
| 15 | 2010 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2005 | 12 | |
| 18 | 2014 | 11 | |
| 19 | 2019 | 10 | |
| 20 | 2020 | 9 |
About Degeng Wang
Degeng Wang is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Environmental Chemistry, having authored 25 papers that have together received 906 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), TGF-β signaling in diseases (4 papers), MicroRNA in disease regulation (4 papers), Gene Regulatory Network Analysis (4 papers), RNA modifications and cancer (4 papers), Cancer Cells and Metastasis (3 papers), RNA and protein synthesis mechanisms (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Oncology (199 citations), Cancer Research (108 citations), Immunology (144 citations), Molecular Biology (454 citations) and Environmental Chemistry (66 citations). Degeng Wang has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Fengqian Chen, Xueqiong Zhang, Qi Liu, Lin Hou, Limei Shen, Leaf Huang, Michael Gribskov, Jeffrey F. Harper, Seenivasan Subbiah and Todd A. Anderson. Their work appears in journals such as Genes, ACS Nano, Journal of Biological Chemistry, Computational and Structural Biotechnology Journal and Oncogene.
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.