Yao Dai
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Toxicology top 5%
Papers in
-
- Cell death mechanisms and regulation 8
- PI3K/AKT/mTOR signaling in cancer 5
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- Cancer, Hypoxia, and Metabolism 7
- Cancer-related molecular mechanisms research 5
- Co-authors
- Dietmar W. Siemann (14 shared papers)Liang Xu (8 shared papers)Theodore S. Lawrence (8 shared papers)Kyung‐Mi Bae (7 shared papers)Wenhua Tang (6 shared papers)Yang Meng (5 shared papers)Jeffrey DeSano (4 shared papers)Johannes Vieweg (4 shared papers)
- Journals
- Molecular Cancer Therapeutics (4 papers)Cancer Research (3 papers)Nano Letters (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)BMC Cancer (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Yao Dai
47 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 113
- Cancer Research 268
- Toxicology 50
- Complementary and alternative medicine 108
- Molecular Biology 758
- Oncology 300
Countries citing papers authored by Yao Dai
This map shows the geographic impact of Yao Dai'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 Yao Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Dai more than expected).
Fields of papers citing papers by Yao Dai
This network shows the impact of papers produced by Yao Dai. 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 Yao Dai. The network helps show where Yao Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao Dai, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 167 | |
| 2 | 2010 | 130 | |
| 3 | 2023 | 93 | |
| 4 | Overcoming cancer therapy resistance by targeting inhibitors of apoptosis proteins and nuclear factor-kappa B. | 2009 | 68 |
| 5 | 2010 | 68 | |
| 6 | 2009 | 66 | |
| 7 | 2011 | 65 | |
| 8 | Hypoxia regulates SOX2 expression to promote prostate cancer cell invasion and sphere formation. | 2016 | 64 |
| 9 | 2009 | 63 | |
| 10 | E-cadherin plasticity in prostate cancer stem cell invasion. | 2011 | 52 |
| 11 | 2008 | 50 | |
| 12 | Natural IAP inhibitor Embelin enhances therapeutic efficacy of ionizing radiation in prostate cancer. | 2011 | 49 |
| 13 | 2019 | 41 | |
| 14 | 2020 | 38 | |
| 15 | 2021 | 27 | |
| 16 | 2023 | 27 | |
| 17 | 2012 | 23 | |
| 18 | 2019 | 21 | |
| 19 | 2012 | 20 | |
| 20 | 2025 | 19 |
About Yao Dai
Yao Dai is a scholar working on Molecular Biology, Cancer Research, Oncology, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), Prostate Cancer Treatment and Research (5 papers), Advanced Battery Materials and Technologies (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Cancer-related molecular mechanisms research (5 papers), Advancements in Battery Materials (5 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Cancer Research (268 citations), Toxicology (50 citations), Complementary and alternative medicine (108 citations), Molecular Biology (758 citations) and Oncology (300 citations). Yao Dai has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Dietmar W. Siemann, Liang Xu, Theodore S. Lawrence, Kyung‐Mi Bae, Wenhua Tang, Yang Meng, Jeffrey DeSano, Johannes Vieweg, Meilan Liu and Ezra Burstein. Their work appears in journals such as Molecular Cancer Therapeutics, Cancer Research, Nano Letters, International Journal of Radiation Oncology*Biology*Physics 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.