Matthew R. Dillon

34.3k total citations · 3 hit papers
8 papers, 5.2k citations indexed

About

Matthew R. Dillon is a scholar working on Molecular Biology, Ecology and Information Systems and Management. According to data from OpenAlex, Matthew R. Dillon has authored 8 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Ecology and 2 papers in Information Systems and Management. Recurrent topics in Matthew R. Dillon's work include Gut microbiota and health (4 papers), Microbial Community Ecology and Physiology (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Matthew R. Dillon is often cited by papers focused on Gut microbiota and health (4 papers), Microbial Community Ecology and Physiology (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Matthew R. Dillon collaborates with scholars based in United States, Australia and Switzerland. Matthew R. Dillon's 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 and has published in prestigious journals such as PLoS Computational Biology, Microbiome and Alzheimer s & Dementia.

In The Last Decade

Matthew R. Dillon

8 papers receiving 5.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin

2018 3.9k citations Nicholas A. Bokulich, Benjamin D. Kaehler et al. Microbiome profile →
RESCRIPt: Reproducible sequence taxonomy reference database management

2021 540 citations Michael S. Robeson, Devon O’Rourke et al. PLoS Computational Biology profile →
QIIME 2 Enables Comprehensive End‐to‐End Analysis of Diverse Microbiome Data and Comparative Studies with Publicly Available Data

2020 318 citations Mehrbod Estaki, Lingjing Jiang et al. Current Protocols in Bioinformatics profile →

Peers

Matthew R. Dillon

MB

ECOLO

PS

FS

PHYSI

Evan Bolyen United States

Benjamin D. Kaehler Australia

Jai Ram Rideout United States

Gail Ackermann United States

Anna Klindworth Germany

Markus Bauer Austria

Georgia Giannoukos United States

Louise Fraser United Kingdom

James Borneman United States

Evan Bolyen United States

Matthew R. Dillon

2.3k ×0.9

MB

1.2k ×0.9

ECOLO

715 ×1.0

PS

486 ×0.9

FS

432 ×0.9

PHYSI

Citations per year, relative to Matthew R. Dillon Matthew R. Dillon (= 1×) peers Evan Bolyen

Countries citing papers authored by Matthew R. Dillon

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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8 of 8 papers shown

1.

Keefe, Christopher R., et al.. (2023). Facilitating bioinformatics reproducibility with QIIME 2 Provenance Replay. PLoS Computational Biology. 19(11). e1011676–e1011676. 4 indexed citations

2.

Keefe, Christopher R., Sierra A. Jaramillo, Evan Bolyen, et al.. (2022). Predicting neurodegenerative disease using the unique gut microbiota composition of transgenic mice modeling amyloid‐β plaques and neurofibrillary tangles. Alzheimer s & Dementia. 18(S5). 1 indexed citations

3.

Robeson, Michael S., Devon O’Rourke, Benjamin D. Kaehler, et al.. (2021). RESCRIPt: Reproducible sequence taxonomy reference database management. PLoS Computational Biology. 17(11). e1009581–e1009581. 540 indexed citations breakdown →

4.

Estaki, Mehrbod, Lingjing Jiang, Nicholas A. Bokulich, et al.. (2020). QIIME 2 Enables Comprehensive End‐to‐End Analysis of Diverse Microbiome Data and Comparative Studies with Publicly Available Data. Current Protocols in Bioinformatics. 70(1). e100–e100. 318 indexed citations breakdown →

5.

Bokulich, Nicholas A., Benjamin D. Kaehler, Jai Ram Rideout, et al.. (2018). Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin. Microbiome. 6(1). 90–90. 3938 indexed citations breakdown →

6.

Bokulich, Nicholas A., Matthew R. Dillon, Evan Bolyen, et al.. (2018). q2-sample-classifier: machine-learning tools for microbiome classification and regression. The Journal of Open Source Software. 3(30). 934–934. 128 indexed citations

7.

Bolyen, Evan, Jai Ram Rideout, John Chase, et al.. (2018). An Introduction to Applied Bioinformatics: a free, open, and interactive text.. PubMed. 1(5). 27–27. 15 indexed citations

8.

Bokulich, Nicholas A., Matthew R. Dillon, Yilong Zhang, et al.. (2018). q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data. mSystems. 3(6). 219 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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