Senyi Deng
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
- Health Informatics top 5%
Papers in
- Oncology 11
- Cancer Immunotherapy and Biomarkers 6
- Cancer Cells and Metastasis 3
-
- Nanoparticle-Based Drug Delivery 7
- Co-authors
- Le Zhang (2 shared papers)Yuquan Wei (8 shared papers)Yi Feng Pan (1 shared paper)Huiru Zheng (1 shared paper)Julio Vera (1 shared paper)Yujie You (1 shared paper)Xin Lai (1 shared paper)Qinjie Wu (6 shared papers)
- Journals
- Translational Lung Cancer Research (6 papers)Nanoscale (5 papers)Frontiers in Pharmacology (2 papers)Biomaterials (2 papers)Signal Transduction and Targeted Therapy (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Senyi Deng
47 papers receiving 1.6k citations
Senyi Deng's Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Medicine 161
- Health Informatics 38
- Biomaterials 283
- Applied Microbiology and Biotechnology 30
- Pharmaceutical Science 73
Countries citing papers authored by Senyi Deng
This map shows the geographic impact of Senyi 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 Senyi Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Senyi Deng more than expected).
Fields of papers citing papers by Senyi Deng
This network shows the impact of papers produced by Senyi 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 Senyi Deng. The network helps show where Senyi Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Senyi 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artificial intelligence in cancer target identification and drug discovery Hit paper breakdown → | 2022 | 300 |
| 2 | 2015 | 270 | |
| 3 | 2012 | 228 | |
| 4 | 2020 | 122 | |
| 5 | 2011 | 92 | |
| 6 | 2012 | 82 | |
| 7 | 2013 | 56 | |
| 8 | 2015 | 54 | |
| 9 | 2014 | 32 | |
| 10 | 2015 | 31 | |
| 11 | 2015 | 27 | |
| 12 | 2023 | 25 | |
| 13 | 2022 | 24 | |
| 14 | 2021 | 24 | |
| 15 | 2022 | 24 | |
| 16 | 2019 | 22 | |
| 17 | 2016 | 22 | |
| 18 | 2021 | 20 | |
| 19 | 2014 | 19 | |
| 20 | 2021 | 17 |
About Senyi Deng
Senyi Deng is a scholar working on Oncology, Biomaterials, Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (7 papers), Ferroptosis and cancer prognosis (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Angiogenesis and VEGF in Cancer (6 papers), Nanoplatforms for cancer theranostics (5 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Cells and Metastasis (3 papers) and Myasthenia Gravis and Thymoma (3 papers). The work is most often cited by research in Molecular Medicine (161 citations), Health Informatics (38 citations), Biomaterials (283 citations), Applied Microbiology and Biotechnology (30 citations) and Pharmaceutical Science (73 citations). Senyi Deng has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Le Zhang, Yuquan Wei, Yi Feng Pan, Huiru Zheng, Julio Vera, Yujie You, Xin Lai, Qinjie Wu, Changyang Gong and Zhiyong Qian. Their work appears in journals such as Translational Lung Cancer Research, Nanoscale, Frontiers in Pharmacology, Biomaterials and Signal Transduction and Targeted Therapy.
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.