Catherine H. Liu
- Molecular Biology top 1%
- Cell Biology top 0.5%
- Pharmacology top 1%
- Immunology top 5%
- Genetics top 5%
- Co-authors
- Timothy HlaShobha ThangadaSarah SpiegelJames R. Van BrocklynRamil MenzeleevMenq-Jer LeeMing-Tao WuOvidiu C. Trifan
- Topics
- Sphingolipid Metabolism and Signaling (14 papers)Inflammatory mediators and NSAID effects (6 papers)Estrogen and related hormone effects (5 papers)
- Partner nations
- United StatesDenmarkJapan
In The Last Decade
Catherine H. Liu
25 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 4.4k
- Cell Biology 1.6k
- Pharmacology 915
- Immunology 832
- Genetics 693
Countries citing papers authored by Catherine H. Liu
This map shows the geographic impact of Catherine H. Liu'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 Catherine H. Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine H. Liu more than expected).
Fields of papers citing papers by Catherine H. Liu
This network shows the impact of papers produced by Catherine H. Liu. 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 Catherine H. Liu. The network helps show where Catherine H. Liu may publish in the future.
Co-authorship network of co-authors of Catherine H. Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine H. Liu. A scholar is included among the top collaborators of Catherine H. Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Catherine H. Liu. Catherine H. Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 78 | |
| 2 | 40 | |
| 3 | 127 | |
| 4 | 38 | |
| 5 | 85 | |
| 6 | 61 | |
| 7 | 342 | |
| 8 | 409 | |
| 9 | 37 | |
| 10 | 22 | |
| 11 | 320 | |
| 12 | Overexpression of Cyclooxygenase-2 Is Sufficient to Induce Tumorigenesis in Transgenic Micebreakdown → | 661 |
| 13 | Edg-1, the G protein–coupled receptor for sphingosine-1-phosphate, is essential for vascular maturationbreakdown → | 965 |
| 14 | 68 | |
| 15 | 42 | |
| 16 | 163 | |
| 17 | Vascular Endothelial Cell Adherens Junction Assembly and Morphogenesis Induced by Sphingosine-1-Phosphatebreakdown → | 864 |
| 18 | 70 | |
| 19 | Sphingosine-1-Phosphate as a Ligand for the G Protein-Coupled Receptor EDG-1breakdown → | 882 |
| 20 | 65 |
About Catherine H. Liu
Catherine H. Liu is a scholar working on Cell Biology, Pharmacology and Biochemistry, having authored 25 papers that have together received 6.1k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (14 papers), Inflammatory mediators and NSAID effects (6 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Cell Biology (1.6k citations), Molecular Biology (4.4k citations) and Pharmacology (915 citations). Catherine H. Liu has collaborated with scholars based in United States, Denmark and Japan. Frequent co-authors include Timothy Hla, Shobha Thangada, Sarah Spiegel, James R. Van Brocklyn, Ramil Menzeleev, Menq-Jer Lee, Ming-Tao Wu, Ovidiu C. Trifan, Timothy F. Lane and Arthur R. Hand. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.