Yu Deng
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- MicroRNA in disease regulation 5
- Cancer, Hypoxia, and Metabolism 4
- Cancer-related molecular mechanisms research 4
- Oncology 10
- Co-authors
- Feng He (2 shared papers)Weina Li (1 shared paper)Peng Zhang (2 shared papers)Qian Chu (2 shared papers)Xiangning Fu (12 shared papers)Wei Sun (3 shared papers)Yukun Zu (2 shared papers)Dandan Lin (4 shared papers)
In The Last Decade
Yu Deng
38 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 155
- Cancer Research 259
- Infectious Diseases 311
- Modeling and Simulation 63
- General Dentistry 19
- Oncology 301
Countries citing papers authored by Yu Deng
This map shows the geographic impact of Yu Deng'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 Yu Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Deng more than expected).
Fields of papers citing papers by Yu Deng
This network shows the impact of papers produced by Yu Deng. 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 Yu Deng. The network helps show where Yu Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Deng, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 652 | |
| 2 | 2019 | 211 | |
| 3 | 2020 | 174 | |
| 4 | 2017 | 99 | |
| 5 | 2018 | 63 | |
| 6 | 2013 | 46 | |
| 7 | 2017 | 45 | |
| 8 | 2012 | 39 | |
| 9 | 2016 | 39 | |
| 10 | 2016 | 25 | |
| 11 | 2019 | 21 | |
| 12 | 2021 | 20 | |
| 13 | 2020 | 19 | |
| 14 | 2015 | 18 | |
| 15 | 2016 | 17 | |
| 16 | 2021 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2023 | 16 | |
| 19 | 2021 | 13 | |
| 20 | 2014 | 11 |
About Yu Deng
Yu Deng is a scholar working on Cancer Research, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Immunology, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Lung Cancer Treatments and Mutations (5 papers), MicroRNA in disease regulation (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer-related molecular mechanisms research (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), TGF-β signaling in diseases (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Cancer Research (259 citations), Infectious Diseases (311 citations), Modeling and Simulation (63 citations), General Dentistry (19 citations) and Oncology (301 citations). Yu Deng has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Feng He, Weina Li, Peng Zhang, Qian Chu, Xiangning Fu, Weina Li, Wei Sun, Yukun Zu, Dandan Lin and Bo Zhong. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, Molecular Carcinogenesis, Biochemical and Biophysical Research Communications, Interactive Cardiovascular and Thoracic Surgery and Journal of Translational Medicine.
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.