Fan Xia
Impact in
- Cell Biology top 1%
- Hippo pathway signaling and YAP/TAZ
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
-
- Eicosanoids and Hypertension Pharmacology 2
- Lipid metabolism and biosynthesis 1
-
- Hippo pathway signaling and YAP/TAZ 4
- Co-authors
- Joseph Avruch (3 shared papers)Maria D. Praskova (2 shared papers)Dawang Zhou (2 shared papers)Ji-Sun Park (1 shared paper)Yi Yin (1 shared paper)Gregory Yves Lauwers (1 shared paper)Bernhard Payer (1 shared paper)Claudius Conrad (1 shared paper)
- Journals
- Cancer Cell (1 paper)Journal of Biomedical Science (1 paper)Cell Death and Disease (1 paper)World Journal of Diabetes (1 paper)Toxics (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Fan Xia
10 papers receiving 1.4k citations
Fan Xia's Hit Papers
Peers
Comparison fields: 5 of 75
- Cell Biology 1.1k
- Biochemistry 86
- Molecular Biology 741
- Cancer Research 79
- Hepatology 40
Countries citing papers authored by Fan Xia
This map shows the geographic impact of Fan 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 Fan Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Xia more than expected).
Fields of papers citing papers by Fan Xia
This network shows the impact of papers produced by Fan 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 Fan Xia. The network helps show where Fan Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Fan 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 | Mst1 and Mst2 Maintain Hepatocyte Quiescence and Suppress Hepatocellular Carcinoma Development through Inactivation of the Yap1 Oncogene Hit paper breakdown → | 2009 | 774 |
| 2 | 2008 | 349 | |
| 3 | 2012 | 145 | |
| 4 | 2020 | 49 | |
| 5 | 2014 | 38 | |
| 6 | 2022 | 34 | |
| 7 | 2019 | 32 | |
| 8 | 2021 | 26 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 4 | |
| 11 | 2026 | 0 |
About Fan Xia
Fan Xia is a scholar working on Biochemistry, Cell Biology, Cancer Research, Molecular Biology and Immunology, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (4 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Lipid metabolism and biosynthesis (1 paper), Kruppel-like factors research (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). The work is most often cited by research in Cell Biology (1.1k citations), Biochemistry (86 citations), Molecular Biology (741 citations), Cancer Research (79 citations) and Hepatology (40 citations). Fan Xia has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Joseph Avruch, Maria D. Praskova, Dawang Zhou, Ji-Sun Park, Yi Yin, Gregory Yves Lauwers, Bernhard Payer, Claudius Conrad, Nabeel Bardeesy and Wolfgang Erwin Thasler. Their work appears in journals such as Cancer Cell, Journal of Biomedical Science, Cell Death and Disease, World Journal of Diabetes and Toxics.
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.