C.C. Liew

1.2k citations
31 papers · 1.1k · h-index 15

Impact in

Papers in

C.C. Liew

30 papers receiving 972 citations

Peers

C.C. Liew
Comparison fields: 5 of 81
  • Cardiology and Cardiovascular Medicine 266
  • Molecular Biology 409
  • Biological Psychiatry 8
  • Psychiatry and Mental health 106
  • Hepatology 40
Replace Kathryn E. Kronquist with:
Kathryn E. Kronquist United States
Clément E. Tagoe United States
Bok Ghee Han South Korea
Issei Yoshiuchi Japan
Harold G. Preiksaitis Canada
Katherine E. Squires United States
Claire Tournois France
Masaoki Takano Japan
R. Dennis Miranda United States
Kimberly K. McFann United States
C.C. Liew relative to Kathryn E. Kronquist United States Kathryn E. Kronquist's profile →
Citations per field
00.5×2×4×6×8.3×
Kathryn E. Kronquist · 1×
Citations per year

Countries citing papers authored by C.C. Liew

Since Specialization
Citations

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

Fields of papers citing papers by C.C. Liew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C.C. Liew, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C.C. Liew Line = papers co-authored together C.C. Liew links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005190
2 1995178
3 1983135
4 199279
5 200167
6 200244
7 197241
8 199536
9 197335
10 200335
11 200534
12 197120
13 197520
14 199520
15 197318
16 200813
17 199612
18 197011
19 197411
20 199710

About C.C. Liew

C.C. Liew is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Genetics and Rheumatology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (10 papers), RNA and protein synthesis mechanisms (5 papers), Hormonal Regulation and Hypertension (5 papers), Cardiomyopathy and Myosin Studies (3 papers), Genomic variations and chromosomal abnormalities (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Adrenal Hormones and Disorders (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (266 citations), Molecular Biology (409 citations), Biological Psychiatry (8 citations), Psychiatry and Mental health (106 citations) and Hepatology (40 citations). C.C. Liew has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Michael J. Sole, A. G. Gornall, George Jackowski, Ming T. Tsuang, Stephen J. Glatt, K. Wayne Marshall, Rita Hill, Marcel E. Lechin, Harry Rakowski and Ali J. Marian. Their work appears in journals such as Biochemical Journal, Endocrinology, Osteoarthritis and Cartilage, Genomics and Molecular and Cellular Biochemistry.

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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