John M. Chaston

3.2k total citations
48 papers, 1.6k citations indexed

About

John M. Chaston is a scholar working on Insect Science, Molecular Biology and Immunology. According to data from OpenAlex, John M. Chaston has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Insect Science, 16 papers in Molecular Biology and 9 papers in Immunology. Recurrent topics in John M. Chaston's work include Insect symbiosis and bacterial influences (32 papers), Insect Utilization and Effects (12 papers) and Entomopathogenic Microorganisms in Pest Control (11 papers). John M. Chaston is often cited by papers focused on Insect symbiosis and bacterial influences (32 papers), Insect Utilization and Effects (12 papers) and Entomopathogenic Microorganisms in Pest Control (11 papers). John M. Chaston collaborates with scholars based in United States, United Kingdom and Australia. John M. Chaston's co-authors include Angela E. Douglas, Peter D. Newell, Heidi Goodrich‐Blair, A. Dobson, Byron J. Adams, Adler R. Dillman, S. Patricia Stock, Paul W. Sternberg, Todd A. Ciche and Adam Chun-Nin Wong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

John M. Chaston

44 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John M. Chaston United States 19 1.2k 483 331 286 242 48 1.6k
Guillaume Tetreau France 23 810 0.7× 810 1.7× 389 1.2× 210 0.7× 152 0.6× 49 1.4k
Steve Whyard Canada 27 1.1k 0.9× 1.6k 3.2× 915 2.8× 105 0.4× 315 1.3× 51 2.4k
Nelson Martins Portugal 19 523 0.5× 164 0.3× 80 0.2× 411 1.4× 157 0.6× 29 1.1k
Omprakash Mittapalli United States 26 1.1k 0.9× 1.1k 2.2× 528 1.6× 108 0.4× 267 1.1× 53 1.8k
Dalial Freitak Finland 21 1.2k 1.1× 298 0.6× 189 0.6× 453 1.6× 587 2.4× 46 1.7k
Natacha Kremer France 17 446 0.4× 216 0.4× 92 0.3× 105 0.4× 210 0.9× 26 1.0k
Geoffrey M. Attardo United States 29 1.7k 1.4× 811 1.7× 261 0.8× 476 1.7× 425 1.8× 67 2.7k
В. В. Глупов Russia 28 1.6k 1.3× 969 2.0× 808 2.4× 474 1.7× 225 0.9× 123 2.3k
Vett K. Lloyd Canada 22 231 0.2× 633 1.3× 200 0.6× 66 0.2× 288 1.2× 62 1.4k

Countries citing papers authored by John M. Chaston

Since Specialization
Citations

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

Fields of papers citing papers by John M. Chaston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John M. Chaston

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Chaston. A scholar is included among the top collaborators of John M. Chaston 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 John M. Chaston. John M. Chaston 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.
2.
Gale, Joseph, et al.. (2025). Environment and diet shape the geography-specific Drosophila melanogaster microbiota composition. Applied and Environmental Microbiology. 91(10). e0088325–e0088325.
3.
Jafari, Mahtab, et al.. (2022). The impact of Rhodiola rosea on biomarkers of diabetes, inflammation, and microbiota in a leptin receptor-knockout mouse model. Scientific Reports. 12(1). 10581–10581. 12 indexed citations
4.
Korch, Shaleen B., et al.. (2021). An altered microbiome in a Parkinson’s disease model Drosophila melanogaster has a negative effect on development. Scientific Reports. 11(1). 23635–23635. 4 indexed citations
5.
Hughes, Rachel C., et al.. (2020). Genetic Influences of the Microbiota on the Life Span of Drosophila melanogaster. Applied and Environmental Microbiology. 86(10). 19 indexed citations
6.
Chaston, John M., et al.. (2020). Gut microbiota differs a decade after bariatric surgery relative to a nonsurgical comparison group. Surgery for Obesity and Related Diseases. 16(9). 1304–1311. 14 indexed citations
7.
Rudman, Seth M., Sharon Greenblum, Rachel C. Hughes, et al.. (2019). Microbiome composition shapes rapid genomic adaptation of Drosophila melanogaster. Proceedings of the National Academy of Sciences. 116(40). 20025–20032. 92 indexed citations
8.
Dill‐McFarland, Kimberly A., et al.. (2019). Bacterial Communities in the Alpaca Gastrointestinal Tract Vary With Diet and Body Site. Frontiers in Microbiology. 9. 3334–3334. 12 indexed citations
9.
10.
Newell, Peter D., et al.. (2017). Draft Genome Sequence of Lactobacillus paracasei DmW181, a Bacterium Isolated from Wild Drosophila. Genome Announcements. 5(27). 5 indexed citations
11.
Dobson, A., John M. Chaston, Peter D. Newell, et al.. (2015). Host genetic determinants of microbiota-dependent nutrition revealed by genome-wide analysis of Drosophila melanogaster. Nature Communications. 6(1). 6312–6312. 73 indexed citations
12.
Newell, Peter D., John M. Chaston, Yiping Wang, et al.. (2014). In vivo function and comparative genomic analyses of the Drosophila gut microbiota identify candidate symbiosis factors. Frontiers in Microbiology. 5. 576–576. 55 indexed citations
13.
Chaston, John M., et al.. (2013). The inconstant gut microbiota of Drosophila species revealed by 16S rRNA gene analysis. The ISME Journal. 7(10). 1922–1932. 245 indexed citations
14.
Chaston, John M. & Angela E. Douglas. (2012). Making the Most of “Omics” for Symbiosis Research. Biological Bulletin. 223(1). 21–29. 13 indexed citations
15.
Murfin, Kristen E., John M. Chaston, & Heidi Goodrich‐Blair. (2012). Visualizing Bacteria in Nematodes using Fluorescent Microscopy. Journal of Visualized Experiments. 13 indexed citations
16.
Dillman, Adler R., John M. Chaston, Byron J. Adams, et al.. (2012). An Entomopathogenic Nematode by Any Other Name. PLoS Pathogens. 8(3). e1002527–e1002527. 202 indexed citations
17.
Murfin, Kristen E., John M. Chaston, & Heidi Goodrich‐Blair. (2012). Visualizing Bacteria in Nematodes using Fluorescent Microscopy. Journal of Visualized Experiments. 1 indexed citations
18.
Chaston, John M., Adler R. Dillman, David I. Shapiro‐Ilan, et al.. (2011). Outcrossing and crossbreeding recovers deteriorated traits in laboratory cultured Steinernema carpocapsae nematodes. International Journal for Parasitology. 41(7). 801–809. 17 indexed citations
19.
Murfin, Kristen E., John M. Chaston, Gregory R. Richards, et al.. (2011). Phenotypic variation and host interactions of Xenorhabdus bovienii SS‐2004, the entomopathogenic symbiont of Steinernema jollieti nematodes. Environmental Microbiology. 14(4). 924–939. 41 indexed citations
20.
Chaston, John M. & Heidi Goodrich‐Blair. (2009). Common trends in mutualism revealed by model associations between invertebrates and bacteria: Table 1. FEMS Microbiology Reviews. 34(1). 41–58. 92 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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