Matthew Chu

1.0k citations
6 papers · 752 indexed · 1 hit paper · h-index 3
Topics
Chemical Synthesis and Analysis (4 papers)Receptor Mechanisms and Signaling (3 papers)Supramolecular Self-Assembly in Materials (3 papers)

In The Last Decade

Matthew Chu

4 papers receiving 744 citations

Hit Papers

Cryo-EM structure of the activated GLP-1 receptor in comp...20172026202020232017100200300400

Peers

Matthew Chu
Comparison fields: 5 of 68
  • Molecular Biology 652
  • Cellular and Molecular Neuroscience 383
  • Endocrinology, Diabetes and Metabolism 122
  • Radiology, Nuclear Medicine and Imaging 98
  • Physiology 60
Replace Bingfa Sun with:
Bingfa Sun United States
Wataru Shihoya Japan
Francois Marie Ngako Kadji Japan
Thomas Coudrat Australia
Gáspár Pándy‐Szekeres Hungary
Yi-Lynn Liang Australia
Claudio Villa United Kingdom
Byron Carpenter United Kingdom
Gisselle A. Vélez-Ruiz United States
Eugene Chun United States
Matthew Chu relative to Bingfa Sun United States Bingfa Sun's profile →
Citations per field
00.5×1.5×
Bingfa Sun · 1×
Citations per year

Countries citing papers authored by Matthew Chu

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Chu

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 228
5
Cryo-EM structure of the activated GLP-1 receptor in complex with a G proteinbreakdown →
421
6 101

About Matthew Chu

Matthew Chu is a scholar working on Biomaterials, Cellular and Molecular Neuroscience and Molecular Biology, having authored 6 papers that have together received 752 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (4 papers), Receptor Mechanisms and Signaling (3 papers) and Supramolecular Self-Assembly in Materials (3 papers). The work is most often cited by research in Structural Biology (30 citations), Cellular and Molecular Neuroscience (383 citations) and Physiology (60 citations). Matthew Chu has collaborated with scholars based in United States, Belgium and India. Frequent co-authors include Tong Sun Kobilka, Bingfa Sun, Brian K. Kobilka, Jeffrey Tarrasch, Georgios Skiniotis, Yan Zhang, Dan Feng, Hongli Hu, Qianhui Qu and Toon Laeremans. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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