Pu Xia
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease 8
- Molecular Biology top 1%
- Sphingolipid Metabolism and Signaling 35
- Protein Kinase Regulation and GTPase Signaling 11
- Lipid Membrane Structure and Behavior 6
- Metabolism, Diabetes, and Cancer 5
- Clinical Biochemistry top 1%
- Cancer Research top 5%
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- Liver Disease Diagnosis and Treatment 6
- Autophagy in Disease and Therapy 6
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- Pancreatic function and diabetes 6
- Co-authors
- Mathew A. VadasJennifer R. GambleStuart M. PitsonPaul A.B. MorettiGeorge L. KingCarol WadhamRichard J. D’AndreaBinks W. Wattenberg
- Journals
- Journal of Biological Chemistry (7 papers)Molecular Endocrinology (4 papers)Diabetes (3 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Pu Xia
69 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 111
- Cell Biology 1.6k
- Molecular Biology 4.2k
- Clinical Biochemistry 332
- Endocrinology, Diabetes and Metabolism 598
- Cancer Research 540
Countries citing papers authored by Pu Xia
This map shows the geographic impact of Pu Xia'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 Pu Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Xia more than expected).
Fields of papers citing papers by Pu Xia
This network shows the impact of papers produced by Pu Xia. 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 Pu Xia. The network helps show where Pu Xia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pu Xia, 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 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 21 | |
| 4 | 2022 | 7 | |
| 5 | 2021 | 21 | |
| 6 | 2021 | 11 | |
| 7 | 2019 | 212 | |
| 8 | 2015 | 44 | |
| 9 | 2015 | 99 | |
| 10 | 2015 | 27 | |
| 11 | 2014 | 28 | |
| 12 | 2013 | 26 | |
| 13 | 2012 | 27 | |
| 14 | 2011 | 50 | |
| 15 | 2010 | 42 | |
| 16 | 2009 | 62 | |
| 17 | 2009 | 27 | |
| 18 | 2005 | 62 | |
| 19 | 2000 | 347 | |
| 20 | 1999 | 252 |
About Pu Xia
Pu Xia is a scholar working on Cell Biology, Molecular Biology, Physiology, Immunology and Toxicology, having authored 70 papers that have together received 5.9k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (35 papers), Protein Kinase Regulation and GTPase Signaling (11 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Lipid Membrane Structure and Behavior (6 papers), Autophagy in Disease and Therapy (6 papers), Pancreatic function and diabetes (6 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Cell Biology (1.6k citations), Molecular Biology (4.2k citations), Clinical Biochemistry (332 citations), Endocrinology, Diabetes and Metabolism (598 citations) and Cancer Research (540 citations). Pu Xia has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Mathew A. Vadas, Jennifer R. Gamble, Stuart M. Pitson, Paul A.B. Moretti, George L. King, Carol Wadham, Richard J. D’Andrea, Binks W. Wattenberg, Lijun Wang and Toyoshi Inoguchi. Their work appears in journals such as Journal of Biological Chemistry, Molecular Endocrinology, Diabetes, The FASEB Journal and Blood.
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.