Phillip C.C. Liu

1.6k total citations
22 papers, 750 citations indexed

About

Phillip C.C. Liu is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Phillip C.C. Liu has authored 22 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Organic Chemistry. Recurrent topics in Phillip C.C. Liu's work include Heat shock proteins research (5 papers), Protein Tyrosine Phosphatases (3 papers) and Adipose Tissue and Metabolism (3 papers). Phillip C.C. Liu is often cited by papers focused on Heat shock proteins research (5 papers), Protein Tyrosine Phosphatases (3 papers) and Adipose Tissue and Metabolism (3 papers). Phillip C.C. Liu collaborates with scholars based in United States, Switzerland and Japan. Phillip C.C. Liu's co-authors include Dennis J. Thiele, Fumio Matsumura, Masako Tanabe, Kevin A. Morano, Akira Nakai, Noriaki Sasai, Kazuhiro Nagata, Xiaodong Liu, Marjorie A. Phillips and Essam Enan and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and PLoS ONE.

In The Last Decade

Phillip C.C. Liu

22 papers receiving 730 citations

Peers

Phillip C.C. Liu
Comparison fields: 5 of 83
  • Molecular Biology 612
  • Immunology 90
  • Physiology 78
  • Cell Biology 76
  • Physical and Theoretical Chemistry 75
Replace Helen Browne with:
Helen Browne United Kingdom
Svein Bjelland Norway
Ryszard Szyszka Poland
Tsutomu Agatsuma Japan
Yuji Karasaki Japan
Julia Pimkina United States
Munehiko Yukioka Japan
Vivian Berlin United States
Andrew J. Ambrose United States
Susan M. Boyd United Kingdom
Helen Browne United Kingdom View profile →
Citations per field, relative to Phillip C.C. Liu
Phillip C.C. Liu · 1×
Citations per year, relative to Phillip C.C. Liu
Phillip C.C. Liu · 1×

Countries citing papers authored by Phillip C.C. Liu

Since Specialization
Citations

This map shows the geographic impact of Phillip C.C. 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 Phillip C.C. Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip C.C. Liu more than expected).

Fields of papers citing papers by Phillip C.C. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip C.C. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip C.C. Liu. A scholar is included among the top collaborators of Phillip C.C. 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 Phillip C.C. Liu. Phillip C.C. 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 12
2 2
3 1
4 7
5 28
6 15
7 55
8 23
9 44
10 49
11 12
12 7
13 62
14 86
15 129
16 55
17 54
18 24
19 69
20 14

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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