Benjamin D. Kaehler
Impact in
- Ecology top 1%
- Microbial Community Ecology and Physiology
- Environmental DNA in Biodiversity Studies
- Molecular Biology top 5%
- Gut microbiota and health
- Genomics and Phylogenetic Studies
Papers in
-
- Genomics and Phylogenetic Studies 8
- Gut microbiota and health 3
- Metabolomics and Mass Spectrometry Studies 2
- Genetics 7
- Genetic diversity and population structure 4
- Insect and Arachnid Ecology and Behavior 2
- Co-authors
- Nicholas A. Bokulich (6 shared papers)Matthew R. Dillon (3 shared papers)Gavin Huttley (8 shared papers)J. Gregory Caporaso (3 shared papers)Rob Knight (3 shared papers)Evan Bolyen (2 shared papers)Jai Ram Rideout (1 shared paper)Michał Ziemski (3 shared papers)
- Journals
- Computational and Structural Biotechnology Journal (1 paper)mSystems (1 paper)Microbiome (1 paper)PLoS Computational Biology (1 paper)Stochastic Processes and their Applications (1 paper)
- Partner nations
- AustraliaUnited StatesSwitzerland
In The Last Decade
Benjamin D. Kaehler
14 papers receiving 5.2k citations
Benjamin D. Kaehler's Hit Papers
Peers
Comparison fields: 5 of 161
- Ecology 1.3k
- Molecular Biology 2.2k
- Pollution 383
- Insect Science 387
- Biological Psychiatry 63
Countries citing papers authored by Benjamin D. Kaehler
This map shows the geographic impact of Benjamin D. Kaehler'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 Benjamin D. Kaehler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin D. Kaehler more than expected).
Fields of papers citing papers by Benjamin D. Kaehler
This network shows the impact of papers produced by Benjamin D. Kaehler. 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 Benjamin D. Kaehler. The network helps show where Benjamin D. Kaehler may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin D. Kaehler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin Hit paper breakdown → | 2018 | 4165 |
| 2 | RESCRIPt: Reproducible sequence taxonomy reference database management Hit paper breakdown → | 2021 | 606 |
| 3 | 2019 | 132 | |
| 4 | 2018 | 132 | |
| 5 | 2020 | 56 | |
| 6 | 2019 | 31 | |
| 7 | 2021 | 21 | |
| 8 | 2016 | 15 | |
| 9 | 2014 | 15 | |
| 10 | 2015 | 9 | |
| 11 | 2017 | 7 | |
| 12 | 2018 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2017 | 2 | |
| 15 | 2010 | 0 |
About Benjamin D. Kaehler
Benjamin D. Kaehler is a scholar working on Molecular Biology, Genetics, Finance, Ecology and Biomaterials, having authored 15 papers that have together received 5.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Genetic diversity and population structure (4 papers), Gut microbiota and health (3 papers), Silk-based biomaterials and applications (2 papers), Microbial Community Ecology and Physiology (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Financial Risk and Volatility Modeling (2 papers). The work is most often cited by research in Ecology (1.3k citations), Molecular Biology (2.2k citations), Pollution (383 citations), Insect Science (387 citations) and Biological Psychiatry (63 citations). Benjamin D. Kaehler has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Nicholas A. Bokulich, Matthew R. Dillon, Gavin Huttley, J. Gregory Caporaso, Rob Knight, Evan Bolyen, Jai Ram Rideout, Michał Ziemski, Michael S. Robeson and Jeffrey T. Foster. Their work appears in journals such as Computational and Structural Biotechnology Journal, mSystems, Microbiome, PLoS Computational Biology and Stochastic Processes and their Applications.
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.