Xiaoju Max
Impact in
- Aging top 2%
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer
- Metabolism, Diabetes, and Cancer
- Protein Kinase Regulation and GTPase Signaling
- RNA Research and Splicing
- Polyamine Metabolism and Applications
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 3
- Protein Kinase Regulation and GTPase Signaling 2
- Polyamine Metabolism and Applications 1
- Epigenetics and DNA Methylation 1
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- Cancer Genomics and Diagnostics 5
- Co-authors
- John Blenis (3 shared papers)Gregory R. Hoffman (1 shared paper)Qian Yang (1 shared paper)Judit Villén (1 shared paper)Lewis C. Cantley (1 shared paper)Steven P. Gygi (1 shared paper)Yonghao Yu (1 shared paper)Neil Kubica (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Clinical Cancer Research (1 paper)Science (1 paper)Nature Reviews Molecular Cell Biology (1 paper)Cell (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Xiaoju Max
7 papers receiving 2.9k citations
Xiaoju Max's Hit Papers
Peers
Comparison fields: 5 of 102
- Aging 94
- Molecular Biology 2.2k
- Cell Biology 332
- Cancer Research 245
- Geriatrics and Gerontology 43
Countries citing papers authored by Xiaoju Max
This map shows the geographic impact of Xiaoju Max'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 Xiaoju Max with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoju Max more than expected).
Fields of papers citing papers by Xiaoju Max
This network shows the impact of papers produced by Xiaoju Max. 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 Xiaoju Max. The network helps show where Xiaoju Max may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoju Max, 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 | Molecular mechanisms of mTOR-mediated translational control Hit paper breakdown → | 2009 | 2014 |
| 2 | Phosphoproteomic Analysis Identifies Grb10 as an mTORC1 Substrate That Negatively Regulates Insulin Signaling Hit paper breakdown → | 2011 | 676 |
| 3 | 2008 | 248 | |
| 4 | 2020 | 20 | |
| 5 | 2019 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2018 | 1 | |
| 8 | 2018 | 0 |
About Xiaoju Max
Xiaoju Max is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Ecology, having authored 8 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Lung Cancer Treatments and Mutations (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Polyamine Metabolism and Applications (1 paper), Bacteriophages and microbial interactions (1 paper), Epigenetics and DNA Methylation (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Aging (94 citations), Molecular Biology (2.2k citations), Cell Biology (332 citations), Cancer Research (245 citations) and Geriatrics and Gerontology (43 citations). Xiaoju Max has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include John Blenis, Gregory R. Hoffman, Qian Yang, Judit Villén, Lewis C. Cantley, Steven P. Gygi, Yonghao Yu, Neil Kubica, George Poulogiannis and Celeste Richardson. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Science, Nature Reviews Molecular Cell Biology and Cell.
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.