Michael Nute
Impact in
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- Genomics and Phylogenetic Studies
- Gut microbiota and health
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
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- Microbial Community Ecology and Physiology
- Environmental DNA in Biodiversity Studies
Papers in ⓘ
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- Genomics and Phylogenetic Studies 10
- Gut microbiota and health 5
- Machine Learning in Bioinformatics 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Ecology 5
- Microbial Community Ecology and Physiology 5
- Co-authors
- Tandy Warnow (5 shared papers)Todd J. Treangen (10 shared papers)Bryce Kille (3 shared papers)Advait Balaji (3 shared papers)Erin K. Molloy (1 shared paper)Qi Wang (3 shared papers)Kristen Curry (3 shared papers)Sirena Soriano (3 shared papers)
- Journals
- BMC Genomics (3 papers)Bioinformatics (3 papers)Genome biology (2 papers)Nature Methods (1 paper)Brain Behavior & Immunity - Health (1 paper)
- Partner nations
- United StatesGermanyArgentina
In The Last Decade
Michael Nute
15 papers receiving 582 citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 400
- Ecology 99
- Health Informatics 5
- Microbiology 19
- Endocrinology 15
Countries citing papers authored by Michael Nute
This map shows the geographic impact of Michael Nute'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 Nute with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Nute more than expected).
Fields of papers citing papers by Michael Nute
This network shows the impact of papers produced by Michael Nute. 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 Nute. The network helps show where Michael Nute may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Nute, 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 | Current progress and open challenges for applying deep learning across the biosciences Hit paper breakdown → | 2022 | 171 |
| 2 | Emu: species-level microbial community profiling of full-length 16S rRNA Oxford Nanopore sequencing data Hit paper breakdown → | 2022 | 169 |
| 3 | 2018 | 60 | |
| 4 | 2018 | 51 | |
| 5 | 2022 | 27 | |
| 6 | 2024 | 22 | |
| 7 | 2022 | 21 | |
| 8 | 2018 | 21 | |
| 9 | 2016 | 20 | |
| 10 | 2016 | 10 | |
| 11 | 2024 | 9 | |
| 12 | 2022 | 6 | |
| 13 | 2024 | 4 | |
| 14 | 2005 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2025 | 0 |
About Michael Nute
Michael Nute is a scholar working on Molecular Biology, Ecology, Epidemiology, Genetics and Food Science, having authored 16 papers that have together received 598 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Microbial Community Ecology and Physiology (5 papers), Gut microbiota and health (5 papers), Machine Learning in Bioinformatics (2 papers), Probiotics and Fermented Foods (2 papers), Genetic diversity and population structure (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Molecular Biology (400 citations), Ecology (99 citations), Health Informatics (5 citations), Microbiology (19 citations) and Endocrinology (15 citations). Michael Nute has collaborated with scholars based in United States, Germany and Argentina. Frequent co-authors include Tandy Warnow, Todd J. Treangen, Bryce Kille, Advait Balaji, Erin K. Molloy, Qi Wang, Kristen Curry, Sirena Soriano, Sonia Villapol and Mihai Pop. Their work appears in journals such as BMC Genomics, Bioinformatics, Genome biology, Nature Methods and Brain Behavior & Immunity - Health.
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.