Michael John Shaffer

31.0k citations
100 papers · 19.1k · 2 hit papers · h-index 19

Impact in

Papers in

Michael John Shaffer

86 papers receiving 18.9k citations

Michael John Shaffer's Hit Papers

DRAM for distilling microbial metabolism to automate the curation of microbiome function 2020 · 709 citations
7090+2+4Years since publication5.0k10.0k15.0k

Peers

Michael John Shaffer
Comparison fields: 5 of 200
  • Ecology 4.5k
  • Biological Psychiatry 324
  • Pollution 1.4k
  • Molecular Biology 8.1k
  • Soil Science 891
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Countries citing papers authored by Michael John Shaffer

Since Specialization
Citations

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

Fields of papers citing papers by Michael John Shaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
Hit paper breakdown →
201916992
2
DRAM for distilling microbial metabolism to automate the curation of microbiome function
Hit paper breakdown →
2020709
3 2017302
4 2018125
5 2016120
6 198397
7 201768
8 201666
9 201960
10 202443
11 201941
12 201839
13
Exonerations in the United States, 1989-2012: Report by the National Registry of Exonerations
201233
14 202232
15 201631
16 202228
17 202222
18 201219
19 198419
20 202313

About Michael John Shaffer

Michael John Shaffer is a scholar working on Philosophy, History and Philosophy of Science, Medical Laboratory Technology, Experimental and Cognitive Psychology and Molecular Biology, having authored 100 papers that have together received 19.1k indexed citations. Recurring topics across this work include Epistemology, Ethics, and Metaphysics (22 papers), Philosophy and History of Science (17 papers), Gut microbiota and health (15 papers), Quality and Safety in Healthcare (11 papers), Philosophy and Theoretical Science (10 papers), Biomedical and Engineering Education (9 papers), Genomics and Phylogenetic Studies (6 papers) and Logic, Reasoning, and Knowledge (6 papers). The work is most often cited by research in Ecology (4.5k citations), Biological Psychiatry (324 citations), Pollution (1.4k citations), Molecular Biology (8.1k citations) and Soil Science (891 citations). Michael John Shaffer has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Catherine Lozupone, Carl William Norden, Kelly C. Wrighton, Rebecca A. Daly, Mikayla A .Borton, Josué A. Rodríguez-Ramos, Bridget B. McGivern, Lindsey Solden, Garrett J. Smith and Matthew B. Sullivan. Their work appears in journals such as Logos & Episteme, Acta Analytica, Metaphilosophy, mSystems and Bioinformatics.

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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