Yan Xia
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- RNA modifications and cancer
- Metabolism, Diabetes, and Cancer
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
Papers in
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- Signaling Pathways in Disease 1
- Metabolism, Diabetes, and Cancer 1
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- Autophagy in Disease and Therapy 5
- Co-authors
- Zhimin Lu (8 shared papers)Yanhua Zheng (6 shared papers)Xu Qian (5 shared papers)Xinjian Li (5 shared papers)Jong-Ho Lee (4 shared papers)David H. Hawke (4 shared papers)Fei Shao (3 shared papers)Yuhui Jiang (2 shared papers)
- Journals
- Molecular Cell (2 papers)Nature Cell Biology (2 papers)Cell Metabolism (1 paper)Molecular Pharmaceutics (1 paper)BMJ Open (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Yan Xia
21 papers receiving 1.3k citations
Yan Xia's Hit Papers
Peers
Comparison fields: 5 of 94
- Cancer Research 406
- Molecular Biology 750
- Immunology 197
- Oncology 230
- Immunology and Allergy 51
Countries citing papers authored by Yan Xia
This map shows the geographic impact of Yan 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 Yan Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Xia more than expected).
Fields of papers citing papers by Yan Xia
This network shows the impact of papers produced by Yan 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 Yan Xia. The network helps show where Yan Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The gluconeogenic enzyme PCK1 phosphorylates INSIG1/2 for lipogenesis Hit paper breakdown → | 2020 | 260 |
| 2 | 2017 | 213 | |
| 3 | 2020 | 166 | |
| 4 | 2016 | 139 | |
| 5 | 2009 | 135 | |
| 6 | 2015 | 52 | |
| 7 | 2022 | 48 | |
| 8 | 2016 | 44 | |
| 9 | 2018 | 34 | |
| 10 | 2014 | 32 | |
| 11 | 2013 | 23 | |
| 12 | 2019 | 22 | |
| 13 | 2019 | 20 | |
| 14 | 2015 | 19 | |
| 15 | 2016 | 18 | |
| 16 | 2022 | 16 | |
| 17 | 2018 | 14 | |
| 18 | 2019 | 14 | |
| 19 | 2022 | 13 | |
| 20 | 2021 | 4 |
About Yan Xia
Yan Xia is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Physiology and Surgery, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (5 papers), Adipose Tissue and Metabolism (4 papers), Diet, Metabolism, and Disease (2 papers), Cancer, Lipids, and Metabolism (2 papers), Pancreatic function and diabetes (1 paper), Signaling Pathways in Disease (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Macrophage Migration Inhibitory Factor (1 paper). The work is most often cited by research in Cancer Research (406 citations), Molecular Biology (750 citations), Immunology (197 citations), Oncology (230 citations) and Immunology and Allergy (51 citations). Yan Xia has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Zhimin Lu, Yanhua Zheng, Xu Qian, Xinjian Li, Jong-Ho Lee, David H. Hawke, Fei Shao, Yuhui Jiang, Dongming Xing and Linyong Du. Their work appears in journals such as Molecular Cell, Nature Cell Biology, Cell Metabolism, Molecular Pharmaceutics and BMJ Open.
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.