Daye Cheng
Impact in
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- Ginkgo biloba and Cashew Applications
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment
Papers in
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- Angiogenesis and VEGF in Cancer 6
- Oncology 8
- Peptidase Inhibition and Analysis 4
- Co-authors
- Yunhui Li (6 shared papers)Hong Kong (4 shared papers)Bin Liang (2 shared papers)Bin Liang (8 shared papers)Yunhui Li (2 shared papers)He Hu (2 shared papers)Ying Sun (2 shared papers)X. Johné Liu (1 shared paper)
- Journals
- Medical Oncology (3 papers)BioMed Research International (2 papers)PLoS ONE (2 papers)Biomarkers (1 paper)Bioscience Reports (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Daye Cheng
29 papers receiving 696 citations
Peers
Comparison fields: 5 of 103
- Complementary and alternative medicine 53
- Reproductive Medicine 52
- Drug Discovery 1
- Aquatic Science 41
- Endocrinology, Diabetes and Metabolism 91
Countries citing papers authored by Daye Cheng
This map shows the geographic impact of Daye Cheng'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 Daye Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daye Cheng more than expected).
Fields of papers citing papers by Daye Cheng
This network shows the impact of papers produced by Daye Cheng. 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 Daye Cheng. The network helps show where Daye Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Daye Cheng, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 138 | |
| 2 | 2011 | 115 | |
| 3 | 2006 | 77 | |
| 4 | 2013 | 43 | |
| 5 | 2010 | 34 | |
| 6 | 2013 | 31 | |
| 7 | 2013 | 25 | |
| 8 | 2013 | 25 | |
| 9 | 2011 | 25 | |
| 10 | 2014 | 23 | |
| 11 | 2015 | 21 | |
| 12 | 2013 | 17 | |
| 13 | 2013 | 17 | |
| 14 | 2011 | 16 | |
| 15 | 2014 | 15 | |
| 16 | 2013 | 15 | |
| 17 | 2012 | 14 | |
| 18 | 2014 | 9 | |
| 19 | Intercellular Adhesion Molecule-1 (ICAM-1) Polymorphisms and Cancer Risk: A Meta-Analysis. | 2015 | 9 |
| 20 | 2012 | 7 |
About Daye Cheng
Daye Cheng is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 29 papers that have together received 716 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (6 papers), Cell Adhesion Molecules Research (4 papers), Peptidase Inhibition and Analysis (4 papers), Protease and Inhibitor Mechanisms (4 papers), Mesenchymal stem cell research (2 papers), Pleural and Pulmonary Diseases (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). The work is most often cited by research in Complementary and alternative medicine (53 citations), Reproductive Medicine (52 citations), Drug Discovery (1 citation), Aquatic Science (41 citations) and Endocrinology, Diabetes and Metabolism (91 citations). Daye Cheng has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yunhui Li, Hong Kong, Bin Liang, Bin Liang, Yunhui Li, Yunhui Li, He Hu, Ying Sun, X. Johné Liu and Peipei Zheng. Their work appears in journals such as Medical Oncology, BioMed Research International, PLoS ONE, Biomarkers and Bioscience 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.