Daye Cheng
Impact in
-
- Ginkgo biloba and Cashew Applications
Papers in
-
- Angiogenesis and VEGF in Cancer 4
- Oncology 4
- Lymphatic System and Diseases 2
- 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)Mingxin Li (1 shared paper)
- Journals
- Medical Oncology (3 papers)BioMed Research International (2 papers)PLoS ONE (2 papers)Current Biology (1 paper)Disease Markers (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Daye Cheng
33 papers receiving 711 citations
Peers
Comparison fields: 5 of 106
- Complementary and alternative medicine 50
- Drug Discovery 1
- Endocrinology, Diabetes and Metabolism 84
- Aquatic Science 40
- Aging 9
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 138 | |
| 2 | 2011 | 115 | |
| 3 | 2006 | 78 | |
| 4 | 2013 | 43 | |
| 5 | 2010 | 34 | |
| 6 | 2013 | 31 | |
| 7 | 2013 | 25 | |
| 8 | 2011 | 25 | |
| 9 | 2013 | 25 | |
| 10 | 2014 | 23 | |
| 11 | 2015 | 21 | |
| 12 | 2013 | 18 | |
| 13 | 2013 | 17 | |
| 14 | 2011 | 16 | |
| 15 | 2014 | 15 | |
| 16 | 2013 | 15 | |
| 17 | 2012 | 14 | |
| 18 | 2014 | 10 | |
| 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, Immunology and Allergy, Surgery and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 730 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Cell Adhesion Molecules Research (4 papers), Hematopoietic Stem Cell Transplantation (2 papers), Lymphatic System and Diseases (2 papers), Structural Engineering and Vibration Analysis (2 papers), Mesenchymal stem cell research (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Pleural and Pulmonary Diseases (2 papers). The work is most often cited by research in Complementary and alternative medicine (50 citations), Drug Discovery (1 citation), Endocrinology, Diabetes and Metabolism (84 citations), Aquatic Science (40 citations) and Aging (9 citations). Daye Cheng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yunhui Li, Hong Kong, Bin Liang, Bin Liang, Yunhui Li, Yunhui Li, He Hu, Ying Sun, Mingxin Li and Yanwei Xi. Their work appears in journals such as Medical Oncology, BioMed Research International, PLoS ONE, Current Biology and Disease Markers.
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.