Catherine Liu

699 total citations
33 papers, 486 citations indexed

About

Catherine Liu is a scholar working on Molecular Biology, Genetics and Rheumatology. According to data from OpenAlex, Catherine Liu has authored 33 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Rheumatology. Recurrent topics in Catherine Liu's work include Oral and Maxillofacial Pathology (3 papers), Sphingolipid Metabolism and Signaling (3 papers) and dental development and anomalies (3 papers). Catherine Liu is often cited by papers focused on Oral and Maxillofacial Pathology (3 papers), Sphingolipid Metabolism and Signaling (3 papers) and dental development and anomalies (3 papers). Catherine Liu collaborates with scholars based in United States, United Kingdom and Switzerland. Catherine Liu's co-authors include Timothy Hla, Sylvain Galvani, May Han, Richard L. Proia, Victoria A. Blaho, Mari Kono, Lawrence Steinman, Eric Engelbrecht, Steven Swendeman and Annarita Di Lorenzo and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Catherine Liu

29 papers receiving 474 citations

Peers

Catherine Liu
Comparison fields: 5 of 105
  • Molecular Biology 269
  • Cell Biology 70
  • Physiology 57
  • Immunology 50
  • Ophthalmology 42
Replace Yi‐Hsien Chen with:
Yi‐Hsien Chen Taiwan
Liisa Laitinen Finland
Jessica P. Hampton United States
Qi Tian China
Furong Gao China
Shengze Zhu China
Andrey V. Marakhonov Russia
Almundher Al‐Maawali Oman
Neel Sharma United Kingdom
Hamad Alzaidan Saudi Arabia
Yi‐Hsien Chen Taiwan View profile →
Citations per field, relative to Catherine Liu
Catherine Liu · 1×
Citations per year, relative to Catherine Liu
Catherine Liu · 1×

Countries citing papers authored by Catherine Liu

Since Specialization
Citations

This map shows the geographic impact of Catherine 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 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 Liu more than expected).

Fields of papers citing papers by Catherine Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine 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 Liu. The network helps show where Catherine Liu may publish in the future.

Co-authorship network of co-authors of Catherine Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Liu. A scholar is included among the top collaborators of Catherine 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 Liu. Catherine Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 1
4 10
5 2
6 4
7 0
8 6
9 0
10 5
11 18
12 1
13 3
14 182
15 1
16 31
17
The Dreams of Interpretation: A Century down the Royal Road
4
18 35
19 1
20 1

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.

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