Guo-Liang Chew

2.4k citations
15 papers · 1.5k indexed · 1 hit paper · h-index 12
Topics
RNA modifications and cancer (6 papers)RNA Research and Splicing (6 papers)RNA and protein synthesis mechanisms (4 papers)

In The Last Decade

Guo-Liang Chew

14 papers receiving 1.4k citations

Hit Papers

Toddler: An Embryonic Signal That Promotes Cell Movement ...20142026201820222014100200300400

Peers

Guo-Liang Chew
Comparison fields: 5 of 77
  • Molecular Biology 1.1k
  • Pharmacology 264
  • Cancer Research 221
  • Surgery 196
  • Cellular and Molecular Neuroscience 182
Replace Senye Takahashi with:
Senye Takahashi Japan
Chih-Hang Anthony Tang United States
Itay Koren Israel
Jack O. Hensold United States
Yeon‐Sun Seong South Korea
Elizabeth A. Lipscomb United States
Emmanuel Conseiller France
Marie-Ève Beaulieu Spain
Aidan J. McFall United States
Kazuo Ozawa Japan
Guo-Liang Chew relative to Senye Takahashi Japan Senye Takahashi's profile →
Citations per field
00.5×7.5×
Senye Takahashi · 1×
Citations per year

Countries citing papers authored by Guo-Liang Chew

Since Specialization
Citations

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

Fields of papers citing papers by Guo-Liang Chew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo-Liang Chew. 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 Guo-Liang Chew. The network helps show where Guo-Liang Chew may publish in the future.

Co-authorship network of co-authors of Guo-Liang Chew

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 33
3 40
4 26
5 77
6 1
7 2
8 75
9 13
10 20
11 132
12
Toddler: An Embryonic Signal That Promotes Cell Movement via Apelin Receptorsbreakdown →
484
13 209
14 142
15 207

About Guo-Liang Chew

Guo-Liang Chew is a scholar working on Cancer Research, Molecular Biology and Parasitology, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), RNA Research and Splicing (6 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Pharmacology (264 citations) and Cancer Research (221 citations). Guo-Liang Chew has collaborated with scholars based in United States, Singapore and South Africa. Frequent co-authors include Alexander F. Schier, Andrea Pauli, Eivind Valen, Maximilian W. Popp, Hidde L. Ploegh, John M. Antos, Andrew Mitchell, Deepak Reyon, Julien Dubrulle and James A. Gagnon. Their work appears in journals such as Science, Journal of the American Chemical Society and Nucleic Acids Research.

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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