Peixue Li
Impact in
- Cell Biology top 1%
- Hippo pathway signaling and YAP/TAZ
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- Wnt/β-catenin signaling in development and cancer
- Ubiquitin and proteasome pathways
- Cancer-related gene regulation
Papers in
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- Wnt/β-catenin signaling in development and cancer 3
- CRISPR and Genetic Engineering 2
- Cancer-related gene regulation 2
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- Hippo pathway signaling and YAP/TAZ 9
- Co-authors
- Hongbin Ji (6 shared papers)Tong Guo (4 shared papers)Zhaocai Zhou (4 shared papers)Zhubing Shi (3 shared papers)Yun Zhao (4 shared papers)Huizhen Wang (3 shared papers)Lei Zhang (4 shared papers)Feng He (1 shared paper)
- Journals
- Cell Research (2 papers)Cancer Cell (2 papers)Blood (1 paper)Protein & Cell (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Peixue Li
17 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Cell Biology 801
- Molecular Biology 640
- Biochemistry 58
- Cancer Research 84
- Oncology 113
Countries citing papers authored by Peixue Li
This map shows the geographic impact of Peixue Li'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 Peixue Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peixue Li more than expected).
Fields of papers citing papers by Peixue Li
This network shows the impact of papers produced by Peixue Li. 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 Peixue Li. The network helps show where Peixue Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Peixue Li, 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 | A Peptide Mimicking VGLL4 Function Acts as a YAP Antagonist Therapy against Gastric Cancer Hit paper breakdown → | 2014 | 505 |
| 2 | 2014 | 246 | |
| 3 | 2013 | 92 | |
| 4 | 2020 | 71 | |
| 5 | 2017 | 68 | |
| 6 | 2013 | 56 | |
| 7 | 2013 | 39 | |
| 8 | 2014 | 28 | |
| 9 | 2015 | 16 | |
| 10 | 2012 | 16 | |
| 11 | 2015 | 14 | |
| 12 | 2020 | 14 | |
| 13 | 2019 | 11 | |
| 14 | 2015 | 10 | |
| 15 | 2016 | 10 | |
| 16 | 2014 | 7 | |
| 17 | 2023 | 1 |
About Peixue Li
Peixue Li is a scholar working on Molecular Biology, Cell Biology, Computer Networks and Communications, Ecology and Oncology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (9 papers), Wnt/β-catenin signaling in development and cancer (3 papers), CRISPR and Genetic Engineering (2 papers), Cancer-related gene regulation (2 papers), Network Security and Intrusion Detection (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Traditional and Medicinal Uses of Annonaceae (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Cell Biology (801 citations), Molecular Biology (640 citations), Biochemistry (58 citations), Cancer Research (84 citations) and Oncology (113 citations). Peixue Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hongbin Ji, Tong Guo, Zhaocai Zhou, Zhubing Shi, Yun Zhao, Huizhen Wang, Lei Zhang, Feng He, Xin Wang and Xiaomin Song. Their work appears in journals such as Cell Research, Cancer Cell, Blood, Protein & Cell 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.