Wei-Lei Yang
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- PI3K/AKT/mTOR signaling in cancer
- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
- Epigenetics and DNA Methylation
Papers in
-
- Ubiquitin and proteasome pathways 4
- PI3K/AKT/mTOR signaling in cancer 4
- DNA Repair Mechanisms 3
- Oncology 7
- Cancer-related Molecular Pathways 5
- PARP inhibition in cancer therapy 1
- Co-authors
- Hui‐Kuan Lin (7 shared papers)Szu-Wei Lee (6 shared papers)Chia‐Hsin Chan (6 shared papers)Bryant G. Darnay (3 shared papers)Betty Lamothe (2 shared papers)Alejandro D. Campos (2 shared papers)Jing Wang (1 shared paper)Brian C. Grabiner (1 shared paper)
- Journals
- Molecular Cell (1 paper)Clinical Cancer Research (1 paper)Nature Communications (1 paper)Cancers (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Wei-Lei Yang
10 papers receiving 1.4k citations
Wei-Lei Yang's Hit Papers
Peers
Comparison fields: 5 of 80
- Cancer Research 296
- Molecular Biology 972
- Oncology 326
- Reproductive Medicine 87
- Immunology 163
Countries citing papers authored by Wei-Lei Yang
This map shows the geographic impact of Wei-Lei Yang'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 Wei-Lei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei-Lei Yang more than expected).
Fields of papers citing papers by Wei-Lei Yang
This network shows the impact of papers produced by Wei-Lei Yang. 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 Wei-Lei Yang. The network helps show where Wei-Lei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei-Lei Yang, 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 | The E3 Ligase TRAF6 Regulates Akt Ubiquitination and Activation Hit paper breakdown → | 2009 | 503 |
| 2 | 2012 | 347 | |
| 3 | 2017 | 96 | |
| 4 | 2015 | 94 | |
| 5 | 2015 | 91 | |
| 6 | 2011 | 72 | |
| 7 | 2013 | 64 | |
| 8 | 2011 | 48 | |
| 9 | 2017 | 45 | |
| 10 | 2020 | 25 |
About Wei-Lei Yang
Wei-Lei Yang is a scholar working on Molecular Biology, Oncology, Reproductive Medicine, Surgery and Pathology and Forensic Medicine, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Ubiquitin and proteasome pathways (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), DNA Repair Mechanisms (3 papers), Ovarian cancer diagnosis and treatment (3 papers), PARP inhibition in cancer therapy (1 paper), Endometrial and Cervical Cancer Treatments (1 paper) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Cancer Research (296 citations), Molecular Biology (972 citations), Oncology (326 citations), Reproductive Medicine (87 citations) and Immunology (163 citations). Wei-Lei Yang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Hui‐Kuan Lin, Szu-Wei Lee, Chia‐Hsin Chan, Bryant G. Darnay, Betty Lamothe, Alejandro D. Campos, Jing Wang, Brian C. Grabiner, Xin Lin and Chien‐Feng Li. Their work appears in journals such as Molecular Cell, Clinical Cancer Research, Nature Communications, Cancers and Journal of Biological Chemistry.
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.