Matthew R. Dillon
- Molecular Biology top 5%
- Ecology top 1%
- Plant Science top 5%
- Food Science top 2%
- Physiology top 5%
- Co-authors
- Nicholas A. BokulichBenjamin D. KaehlerJ. Gregory CaporasoEvan BolyenJai Ram RideoutRob KnightGavin HuttleyDevon O’Rourke
- Topics
- Gut microbiota and health (4 papers)Microbial Community Ecology and Physiology (3 papers)Metabolomics and Mass Spectrometry Studies (3 papers)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Matthew R. Dillon
8 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 2.5k
- Ecology 1.4k
- Plant Science 738
- Food Science 525
- Physiology 459
Countries citing papers authored by Matthew R. Dillon
This map shows the geographic impact of Matthew R. Dillon'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 R. Dillon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew R. Dillon more than expected).
Fields of papers citing papers by Matthew R. Dillon
This network shows the impact of papers produced by Matthew R. Dillon. 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 R. Dillon. The network helps show where Matthew R. Dillon may publish in the future.
Co-authorship network of co-authors of Matthew R. Dillon
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew R. Dillon. A scholar is included among the top collaborators of Matthew R. Dillon 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 R. Dillon. Matthew R. Dillon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | RESCRIPt: Reproducible sequence taxonomy reference database managementbreakdown → | 540 |
| 4 | QIIME 2 Enables Comprehensive End‐to‐End Analysis of Diverse Microbiome Data and Comparative Studies with Publicly Available Databreakdown → | 318 |
| 5 | Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier pluginbreakdown → | 3938 |
| 6 | 128 | |
| 7 | 15 | |
| 8 | 219 |
About Matthew R. Dillon
Matthew R. Dillon is a scholar working on Information Systems and Management, Biophysics and Statistics, Probability and Uncertainty, having authored 8 papers that have together received 5.2k indexed citations. Recurring topics across this work include Gut microbiota and health (4 papers), Microbial Community Ecology and Physiology (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Ecology (1.4k citations), Biological Psychiatry (95 citations) and Molecular Biology (2.5k citations). Matthew R. Dillon has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Nicholas A. Bokulich, Benjamin D. Kaehler, J. Gregory Caporaso, Evan Bolyen, Jai Ram Rideout, Rob Knight, Gavin Huttley, Devon O’Rourke, Michael S. Robeson and Jeffrey T. Foster. Their work appears in journals such as PLoS Computational Biology, Microbiome and Alzheimer s & Dementia.
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.