Sai‐Ching J. Yeung
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism 11
- Oncology top 0.5%
- Cancer-related Molecular Pathways 24
- Cancer Immunotherapy and Biomarkers 11
- Cancer Treatment and Pharmacology 11
- Molecular Biology top 1%
- Metabolism, Diabetes, and Cancer 20
- Ubiquitin and proteasome pathways 18
- Neurology top 2%
- Neuroblastoma Research and Treatments 10
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- Neuroendocrine Tumor Research Advances 10
- Co-authors
- Mong‐Hong LeeJingxuan PanLiem PhanJames L. AbbruzzeseManal M. HassanMarina KonoplevaDonghui LiXuexin He
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Sai‐Ching J. Yeung
225 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Cancer Research 2.1k
- Oncology 3.2k
- Molecular Biology 4.7k
- Endocrinology, Diabetes and Metabolism 742
- Neurology 548
Countries citing papers authored by Sai‐Ching J. Yeung
This map shows the geographic impact of Sai‐Ching J. Yeung'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 Sai‐Ching J. Yeung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai‐Ching J. Yeung more than expected).
Fields of papers citing papers by Sai‐Ching J. Yeung
This network shows the impact of papers produced by Sai‐Ching J. Yeung. 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 Sai‐Ching J. Yeung. The network helps show where Sai‐Ching J. Yeung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sai‐Ching J. Yeung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 6 | |
| 5 | 2021 | 8 | |
| 6 | 2021 | 17 | |
| 7 | 2020 | 119 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 19 | |
| 10 | 2020 | 3 | |
| 11 | 2020 | 43 | |
| 12 | 2019 | 79 | |
| 13 | 2017 | 15 | |
| 14 | 2017 | 9 | |
| 15 | 2016 | 187 | |
| 16 | 2015 | 34 | |
| 17 | 2015 | 70 | |
| 18 | 2012 | 245 | |
| 19 | 2012 | 42 | |
| 20 | 2010 | 50 |
About Sai‐Ching J. Yeung
Sai‐Ching J. Yeung is a scholar working on Oncology, Cancer Research and Internal Medicine, having authored 237 papers that have together received 8.5k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (24 papers), Metabolism, Diabetes, and Cancer (20 papers), Ubiquitin and proteasome pathways (18 papers), Cancer Immunotherapy and Biomarkers (11 papers), Cancer, Hypoxia, and Metabolism (11 papers), Cancer Treatment and Pharmacology (11 papers), Neuroblastoma Research and Treatments (10 papers) and Neuroendocrine Tumor Research Advances (10 papers). The work is most often cited by research in Cancer Research (2.1k citations), Oncology (3.2k citations) and Molecular Biology (4.7k citations). Sai‐Ching J. Yeung has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Mong‐Hong Lee, Jingxuan Pan, Liem Phan, James L. Abbruzzese, Manal M. Hassan, Marina Konopleva, Donghui Li, Xuexin He, Lawrence Chan and Aiham Qdaisat. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.