Liyu Wu
Impact in
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- TGF-β signaling in diseases
- Ubiquitin and proteasome pathways
- Cancer-related gene regulation
- Metabolism, Diabetes, and Cancer
- Bone Metabolism and Diseases
Papers in
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- TGF-β signaling in diseases 5
- Bone Metabolism and Diseases 3
- Metabolism, Diabetes, and Cancer 2
- Protein Kinase Regulation and GTPase Signaling 2
- Cell death mechanisms and regulation 1
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- Genetic factors in colorectal cancer 2
- Co-authors
- Rik Derynck (1 shared paper)Mei Wan (4 shared papers)Xu Cao (4 shared papers)Yalei Wu (2 shared papers)Ning Wang (2 shared papers)Xuesong Cao (1 shared paper)Shuting Bai (1 shared paper)Xingming Shi (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Developmental Cell (1 paper)EMBO Reports (1 paper)Molecular Cancer (1 paper)Breast Cancer Research and Treatment (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Liyu Wu
7 papers receiving 445 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 81
- Molecular Biology 354
- Oncology 121
- Immunology and Allergy 17
- Genetics 58
Countries citing papers authored by Liyu Wu
This map shows the geographic impact of Liyu Wu'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 Liyu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liyu Wu more than expected).
Fields of papers citing papers by Liyu Wu
This network shows the impact of papers produced by Liyu Wu. 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 Liyu Wu. The network helps show where Liyu Wu may publish in the future.
Co-authors
The 23 scholars most cited alongside Liyu Wu, 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 | 2009 | 144 | |
| 2 | 2002 | 141 | |
| 3 | 2003 | 84 | |
| 4 | 2005 | 33 | |
| 5 | 2009 | 30 | |
| 6 | 2005 | 18 | |
| 7 | Effect of Hormonal Drugs on Normal SD Rat Hypothalamus-Pituitary-Adrenal Axis Based on H-E Staining and Immunohistochemical Technique | 2015 | 1 |
| 8 | The Application of Excel in the Students' Transcripts Schedule | 2011 | 0 |
About Liyu Wu
Liyu Wu is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cancer Research, Information Systems and Oncology, having authored 8 papers that have together received 451 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (5 papers), Bone Metabolism and Diseases (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Genetic factors in colorectal cancer (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cell death mechanisms and regulation (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Cancer Research (81 citations), Molecular Biology (354 citations), Oncology (121 citations), Immunology and Allergy (17 citations) and Genetics (58 citations). Liyu Wu has collaborated with scholars based in United States and China. Frequent co-authors include Rik Derynck, Mei Wan, Xu Cao, Yalei Wu, Ning Wang, Xuesong Cao, Shuting Bai, Xingming Shi, William E. Grizzle and Zhiyong Liu. Their work appears in journals such as Journal of Biological Chemistry, Developmental Cell, EMBO Reports, Molecular Cancer and Breast Cancer Research and Treatment.
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.