Deyang Li
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
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- Metabolism and Genetic Disorders
Papers in
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- Mitochondrial Function and Pathology 5
- RNA modifications and cancer 3
- Signaling Pathways in Disease 2
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- Cancer Genomics and Diagnostics 3
- Cancer-related molecular mechanisms research 2
- Co-authors
- Jinliang Xing (10 shared papers)Hushan Yang (9 shared papers)Xu Guo (8 shared papers)Chun Yin (5 shared papers)Zhi‐Nan Chen (2 shared papers)Xiaofei Li (1 shared paper)Fei Fei (1 shared paper)Li Xu (1 shared paper)
- Journals
- Journal of Experimental & Clinical Cancer Research (2 papers)Scientific Reports (1 paper)British Journal of Cancer (1 paper)Nature Communications (1 paper)BMC Cancer (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Deyang Li
20 papers receiving 309 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 110
- Clinical Biochemistry 25
- Molecular Biology 204
- Immunology 43
- Oncology 52
Countries citing papers authored by Deyang Li
This map shows the geographic impact of Deyang Li'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 Deyang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deyang Li more than expected).
Fields of papers citing papers by Deyang Li
This network shows the impact of papers produced by Deyang Li. 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 Deyang Li. The network helps show where Deyang Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Deyang Li, 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 | 2014 | 45 | |
| 2 | 2019 | 39 | |
| 3 | 2015 | 32 | |
| 4 | 2018 | 24 | |
| 5 | 2018 | 22 | |
| 6 | 2014 | 21 | |
| 7 | 2012 | 20 | |
| 8 | 2022 | 20 | |
| 9 | 2017 | 15 | |
| 10 | 2014 | 14 | |
| 11 | 2022 | 12 | |
| 12 | 2023 | 12 | |
| 13 | 2019 | 9 | |
| 14 | 2017 | 9 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2024 | 2 | |
| 19 | A new gene for resistance to bacterial blight from Oryza rufipogon | 2003 | 1 |
| 20 | 2021 | 1 |
About Deyang Li
Deyang Li is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Genetics, having authored 23 papers that have together received 310 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Cancer Genomics and Diagnostics (3 papers), RNA modifications and cancer (3 papers), Signaling Pathways in Disease (2 papers), Cancer-related molecular mechanisms research (2 papers), Immune Cell Function and Interaction (2 papers), interferon and immune responses (2 papers) and Electronic and Structural Properties of Oxides (2 papers). The work is most often cited by research in Cancer Research (110 citations), Clinical Biochemistry (25 citations), Molecular Biology (204 citations), Immunology (43 citations) and Oncology (52 citations). Deyang Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jinliang Xing, Hushan Yang, Xu Guo, Chun Yin, Zhi‐Nan Chen, Xiaofei Li, Fei Fei, Li Xu, Zhipei Zhang and Jiaze An. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, Scientific Reports, British Journal of Cancer, Nature Communications and BMC Cancer.
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.