Chad W. Johnston

2.8k total citations · 1 hit paper
24 papers, 2.0k citations indexed

About

Chad W. Johnston is a scholar working on Molecular Biology, Pharmacology and Biotechnology. According to data from OpenAlex, Chad W. Johnston has authored 24 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Pharmacology and 4 papers in Biotechnology. Recurrent topics in Chad W. Johnston's work include Microbial Natural Products and Biosynthesis (18 papers), Genomics and Phylogenetic Studies (11 papers) and Plant biochemistry and biosynthesis (7 papers). Chad W. Johnston is often cited by papers focused on Microbial Natural Products and Biosynthesis (18 papers), Genomics and Phylogenetic Studies (11 papers) and Plant biochemistry and biosynthesis (7 papers). Chad W. Johnston collaborates with scholars based in Canada, United States and Australia. Chad W. Johnston's co-authors include Nathan A. Magarvey, Michael A. Skinnider, Chris A. Dejong, Morgan A. Wyatt, Haoxin Li, Andrew Webster, David A. McEntire, C. J. Fuller, Richard Weber and Ashraf Ibrahim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Chad W. Johnston

23 papers receiving 1.9k citations

Hit Papers

Comprehensive prediction of secondary metabolite structur... 2020 2026 2022 2024 2020 50 100 150 200

Peers

Chad W. Johnston
Majid Alhomrani Saudi Arabia
Wenli Li China
Benedikt Sas Belgium
Tao Wei China
Abrar Hussain Pakistan
Christine Salomon United States
Chad W. Johnston
Citations per year, relative to Chad W. Johnston Chad W. Johnston (= 1×) peers Xiaoyong Zhang

Countries citing papers authored by Chad W. Johnston

Since Specialization
Citations

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

Fields of papers citing papers by Chad W. Johnston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad W. Johnston. 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 Chad W. Johnston. The network helps show where Chad W. Johnston may publish in the future.

Co-authorship network of co-authors of Chad W. Johnston

This figure shows the co-authorship network connecting the top 25 collaborators of Chad W. Johnston. A scholar is included among the top collaborators of Chad W. Johnston 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 Chad W. Johnston. Chad W. Johnston 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
1.
Johnston, Chad W., et al.. (2025). Chemotype- and Target-Driven Genome Mining for a New Natural Product Inhibitor of Bacterial Peptide Deformylase. Journal of the American Chemical Society. 147(25). 21400–21407.
2.
Johnston, Chad W. & Ahmed H. Badran. (2022). Natural and engineered precision antibiotics in the context of resistance. Current Opinion in Chemical Biology. 69. 102160–102160. 7 indexed citations
3.
Johnston, Chad W., Ahmed H. Badran, & James J. Collins. (2020). Continuous bioactivity-dependent evolution of an antibiotic biosynthetic pathway. Nature Communications. 11(1). 4202–4202. 21 indexed citations
4.
Skinnider, Michael A., Chad W. Johnston, Agata Kieliszek, et al.. (2020). Comprehensive prediction of secondary metabolite structure and biological activity from microbial genome sequences. Nature Communications. 11(1). 6058–6058. 237 indexed citations breakdown →
5.
Mousa, Walaa K., Chris A. Dejong, Michael A. Skinnider, et al.. (2019). DeepRiPP integrates multiomics data to automate discovery of novel ribosomally synthesized natural products. Proceedings of the National Academy of Sciences. 117(1). 371–380. 111 indexed citations
6.
Skinnider, Michael A., et al.. (2018). Global analysis of prokaryotic tRNA-derived cyclodipeptide biosynthesis. BMC Genomics. 19(1). 45–45. 26 indexed citations
7.
Skinnider, Michael A., et al.. (2017). PRISM 3: expanded prediction of natural product chemical structures from microbial genomes. Nucleic Acids Research. 45(W1). W49–W54. 251 indexed citations
8.
Johnston, Chad W., Michael A. Skinnider, Chris A. Dejong, et al.. (2016). Assembly and clustering of natural antibiotics guides target identification. Nature Chemical Biology. 12(4). 233–239. 87 indexed citations
9.
Caminero, Alberto, Heather J. Galipeau, Justin L. McCarville, et al.. (2016). Duodenal Bacteria From Patients With Celiac Disease and Healthy Subjects Distinctly Affect Gluten Breakdown and Immunogenicity. Gastroenterology. 151(4). 670–683. 168 indexed citations
10.
Dejong, Chris A., Gregory M. Chen, Haoxin Li, et al.. (2016). Polyketide and nonribosomal peptide retro-biosynthesis and global gene cluster matching. Nature Chemical Biology. 12(12). 1007–1014. 94 indexed citations
11.
Johnston, Chad W., Jonathan Plumb, Xiang Li, Sergio Grinstein, & Nathan A. Magarvey. (2016). Informatic analysis reveals Legionella as a source of novel natural products. Synthetic and Systems Biotechnology. 1(2). 130–136. 9 indexed citations
12.
Yang, Lian, Ashraf Ibrahim, Chad W. Johnston, et al.. (2015). Exploration of Nonribosomal Peptide Families with an Automated Informatic Search Algorithm. Chemistry & Biology. 22(9). 1259–1269. 9 indexed citations
13.
Johnston, Chad W., Michael A. Skinnider, Morgan A. Wyatt, et al.. (2015). An automated Genomes-to-Natural Products platform (GNP) for the discovery of modular natural products. Nature Communications. 6(1). 8421–8421. 106 indexed citations
14.
Skinnider, Michael A., Chris A. Dejong, Chad W. Johnston, et al.. (2015). Genomes to natural products PRediction Informatics for Secondary Metabolomes (PRISM). Nucleic Acids Research. 43(20). gkv1012–gkv1012. 200 indexed citations
15.
Johnston, Chad W., Michael A. Skinnider, Yong Li, et al.. (2015). Informatic search strategies to discover analogues and variants of natural product archetypes. Journal of Industrial Microbiology & Biotechnology. 43(2-3). 293–298. 8 indexed citations
16.
Skinnider, Michael A., et al.. (2014). Automated Identification of Depsipeptide Natural Products by an Informatic Search Algorithm. ChemBioChem. 16(2). 223–227. 7 indexed citations
17.
Johnston, Chad W., Morgan A. Wyatt, Xiang Li, et al.. (2013). Gold biomineralization by a metallophore from a gold-associated microbe. Nature Chemical Biology. 9(4). 241–243. 180 indexed citations
18.
Johnston, Chad W., et al.. (2013). Nonribosomal Assembly of Natural Lipocyclocarbamate Lipoprotein‐Associated Phospholipase Inhibitors. ChemBioChem. 14(4). 431–435. 25 indexed citations
19.
Ibrahim, Ashraf, Lian Yang, Chad W. Johnston, et al.. (2012). Dereplicating nonribosomal peptides using an informatic search algorithm for natural products (iSNAP) discovery. Proceedings of the National Academy of Sciences. 109(47). 19196–19201. 55 indexed citations
20.
Johnston, Chad W., Ashraf Ibrahim, & Nathan A. Magarvey. (2012). Informatic strategies for the discovery of polyketides and nonribosomal peptides. MedChemComm. 3(8). 932–937. 6 indexed citations

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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