John Chu

27 papers receiving 1.2k citations

John Chu's Hit Papers

Commensal bacteria make GPCR ligands that mimic human signalling molecules 2017 · 398 citations
3980+3+6Years since publication100200300

Peers

John Chu
Comparison fields: 5 of 114
  • Pharmacology 317
  • Biological Psychiatry 40
  • Microbiology 83
  • Molecular Biology 861
  • Molecular Medicine 50
Replace Emma A. Gordon with:
Emma A. Gordon United States
Jason A. Moss United States
Jing Shao China
Stanton F. McHardy United States
Jennifer Geddes‐McAlister Canada
Maria Anna Bauer Austria
Olga S. Ostroumova Russia
Robin D. Couch United States
Muhammad Usman Mirza Pakistan
John Chu relative to Emma A. Gordon United States Emma A. Gordon's profile →
Citations per field
00.5×2×2.7×
Emma A. Gordon · 1×
Citations per year

Countries citing papers authored by John Chu

Since Specialization
Citations

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

Fields of papers citing papers by John Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Chu, 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 John Chu Line = papers co-authored together John Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Commensal bacteria make GPCR ligands that mimic human signalling molecules
Hit paper breakdown →
2017398
2 2008191
3 2015159
4 2016156
5 201052
6 202050
7 201938
8 201738
9 200435
10 201732
11 200930
12 201818
13 197511
14 198110
15 19748
16 20228
17 20247
18 19837
19 20227
20 20215

About John Chu

John Chu is a scholar working on Pharmacology, Molecular Medicine, Molecular Biology, Biotechnology and Organic Chemistry, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (10 papers), Genomics and Phylogenetic Studies (6 papers), Biochemical and Structural Characterization (5 papers), Chemical Reaction Mechanisms (4 papers), Antibiotic Resistance in Bacteria (4 papers), Marine Sponges and Natural Products (3 papers), Fuel Cells and Related Materials (2 papers) and Nanopore and Nanochannel Transport Studies (2 papers). The work is most often cited by research in Pharmacology (317 citations), Biological Psychiatry (40 citations), Microbiology (83 citations), Molecular Biology (861 citations) and Molecular Medicine (50 citations). John Chu has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Sean F. Brady, Xavier Vila‐Farrés, Scott L. Cockroft, M. Reza Ghadiri, Manuel Amorín, Louis J. Cohen, Emma A. Gordon, Melinda A. Ternei, Boojala Vijay B. Reddy and Christophe Lemetre. Their work appears in journals such as Journal of the American Chemical Society, ACS Chemical Biology, Journal of Pharmaceutical Sciences, Angewandte Chemie International Edition and ChemMedChem.

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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