Wei Gu
Impact in
- Geriatrics and Gerontology top 0.01%
- Sirtuins and Resveratrol in Medicine
- Cancer Research top 0.05%
- Cancer, Lipids, and Metabolism
Papers in
-
- Ubiquitin and proteasome pathways 59
- Epigenetics and DNA Methylation 41
- RNA modifications and cancer 32
- Oncology 81
- Cancer-related Molecular Pathways 70
- Co-authors
- Christopher Brooks (13 shared papers)Delin Chen (18 shared papers)Ning Kon (34 shared papers)Le Jiang (11 shared papers)Muyang Li (14 shared papers)Shang-Jui Wang (9 shared papers)Richard Baer (6 shared papers)Tongyuan Li (4 shared papers)
- Journals
- Cell (14 papers)Journal of Biological Chemistry (13 papers)Molecular Cell (10 papers)Proceedings of the National Academy of Sciences (7 papers)Cell Cycle (7 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Wei Gu
187 papers receiving 35.6k citations
Wei Gu's Hit Papers
Peers
Comparison fields: 5 of 149
- Geriatrics and Gerontology 5.6k
- Cancer Research 7.7k
- Aging 749
- Oncology 9.7k
- Molecular Biology 22.6k
Countries citing papers authored by Wei Gu
This map shows the geographic impact of Wei Gu'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 Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Gu more than expected).
Fields of papers citing papers by Wei Gu
This network shows the impact of papers produced by Wei Gu. 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 Gu. The network helps show where Wei Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Gu, 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 192 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ferroptosis as a p53-mediated activity during tumour suppression Hit paper breakdown → | 2015 | 2660 |
| 2 | Negative Control of p53 by Sir2α Promotes Cell Survival under Stress Hit paper breakdown → | 2001 | 1808 |
| 3 | Ferroptosis as a target for protection against cardiomyopathy Hit paper breakdown → | 2019 | 1670 |
| 4 | Modes of p53 Regulation Hit paper breakdown → | 2009 | 1333 |
| 5 | Mammalian SIRT1 Represses Forkhead Transcription Factors Hit paper breakdown → | 2004 | 1152 |
| 6 | Emerging Mechanisms and Disease Relevance of Ferroptosis Hit paper breakdown → | 2020 | 876 |
| 7 | Deubiquitination of p53 by HAUSP is an important pathway for p53 stabilization Hit paper breakdown → | 2002 | 819 |
| 8 | Tumor Suppression in the Absence of p53-Mediated Cell-Cycle Arrest, Apoptosis, and Senescence Hit paper breakdown → | 2012 | 742 |
| 9 | ALOX12 is required for p53-mediated tumour suppression through a distinct ferroptosis pathway Hit paper breakdown → | 2019 | 732 |
| 10 | p53 Ubiquitination: Mdm2 and Beyond Hit paper breakdown → | 2006 | 717 |
| 11 | Deacetylation of p53 modulates its effect on cell growth and apoptosis Hit paper breakdown → | 2000 | 684 |
| 12 | Acetylation Is Indispensable for p53 Activation Hit paper breakdown → | 2008 | 682 |
| 13 | Brown Remodeling of White Adipose Tissue by SirT1-Dependent Deacetylation of Pparγ Hit paper breakdown → | 2012 | 672 |
| 14 | Activation of SAT1 engages polyamine metabolism with p53-mediated ferroptotic responses Hit paper breakdown → | 2016 | 639 |
| 15 | Mono- Versus Polyubiquitination: Differential Control of p53 Fate by Mdm2 Hit paper breakdown → | 2003 | 626 |
| 16 | Ubiquitination, phosphorylation and acetylation: the molecular basis for p53 regulation Hit paper breakdown → | 2003 | 622 |
| 17 | Lysine Propionylation and Butyrylation Are Novel Post-translational Modifications in Histones Hit paper breakdown → | 2007 | 595 |
| 18 | SIRT1 transgenic mice show phenotypes resembling calorie restriction Hit paper breakdown → | 2007 | 588 |
| 19 | Tip60-Dependent Acetylation of p53 Modulates the Decision between Cell-Cycle Arrest and Apoptosis Hit paper breakdown → | 2006 | 577 |
| 20 | Tumor Suppressor HIC1 Directly Regulates SIRT1 to Modulate p53-Dependent DNA-Damage Responses Hit paper breakdown → | 2005 | 530 |
About Wei Gu
Wei Gu is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Geriatrics and Gerontology, having authored 192 papers that have together received 36.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (70 papers), Ubiquitin and proteasome pathways (59 papers), Epigenetics and DNA Methylation (41 papers), RNA modifications and cancer (32 papers), Sirtuins and Resveratrol in Medicine (32 papers), Ferroptosis and cancer prognosis (31 papers), Cancer, Hypoxia, and Metabolism (29 papers) and Autophagy in Disease and Therapy (24 papers). The work is most often cited by research in Geriatrics and Gerontology (5.6k citations), Cancer Research (7.7k citations), Aging (749 citations), Oncology (9.7k citations) and Molecular Biology (22.6k citations). Wei Gu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Christopher Brooks, Delin Chen, Ning Kon, Le Jiang, Muyang Li, Shang-Jui Wang, Richard Baer, Tongyuan Li, Yingming Zhao and Omid Tavana. Their work appears in journals such as Cell, Journal of Biological Chemistry, Molecular Cell, Proceedings of the National Academy of Sciences and Cell Cycle.
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.