Michael Nute

1.6k total citations · 2 hit papers
16 papers, 598 citations indexed

About

Michael Nute is a scholar working on Molecular Biology, Ecology and Epidemiology. According to data from OpenAlex, Michael Nute has authored 16 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Ecology and 2 papers in Epidemiology. Recurrent topics in Michael Nute's work include Genomics and Phylogenetic Studies (10 papers), Microbial Community Ecology and Physiology (5 papers) and Gut microbiota and health (5 papers). Michael Nute is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Microbial Community Ecology and Physiology (5 papers) and Gut microbiota and health (5 papers). Michael Nute collaborates with scholars based in United States, Germany and Denmark. Michael Nute's co-authors include Tandy Warnow, Todd J. Treangen, Bryce Kille, Advait Balaji, Erin K. Molloy, Kristen Curry, Qi Wang, Sirena Soriano, Sonia Villapol and Tor Savidge and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and Bioinformatics.

In The Last Decade

Michael Nute

15 papers receiving 582 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.

Current progress and open challenges for applying deep learning across the biosciences

2022 171 citations Nicolae Sapoval, Amirali Aghazadeh et al. Nature Communications profile →
Emu: species-level microbial community profiling of full-length 16S rRNA Oxford Nanopore sequencing data

2022 169 citations Kristen Curry, Qi Wang et al. Nature Methods profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael Nute United States	10	400	99	69	68	39	16	598
Piotr Gawron Luxembourg	13	447 1.1×	116 1.2×	94 1.4×	41 0.6×	23 0.6×	22	725
Christopher Pockrandt United States	7	306 0.8×	123 1.2×	78 1.1×	80 1.2×	45 1.2×	10	551
Eli Levy Karin Israel	13	445 1.1×	212 2.1×	97 1.4×	98 1.4×	23 0.6×	23	649
Lauris Kaplinski Estonia	13	451 1.1×	74 0.7×	165 2.4×	135 2.0×	31 0.8×	26	751
Hengyun Lu China	4	368 0.9×	105 1.1×	87 1.3×	153 2.3×	39 1.0×	5	634
Binghang Liu China	5	305 0.8×	101 1.0×	69 1.0×	64 0.9×	17 0.4×	9	380
Kranti Konganti United States	17	374 0.9×	39 0.4×	103 1.5×	82 1.2×	76 1.9×	49	781
David Danko United States	10	234 0.6×	116 1.2×	29 0.4×	50 0.7×	23 0.6×	23	399
Hamza Khan United States	8	573 1.4×	200 2.0×	170 2.5×	156 2.3×	36 0.9×	23	876
José Miguel Ortega Brazil	16	492 1.2×	85 0.9×	74 1.1×	141 2.1×	36 0.9×	63	764

Countries citing papers authored by Michael Nute

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael Nute

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Nute. A scholar is included among the top collaborators of Michael Nute 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 Michael Nute. Michael Nute is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Nute, Michael, Nicolae Sapoval, Huw A. Ogilvie, et al.. (2025). A survey of computational approaches for characterizing microbial interactions in microbial mats. Genome biology. 26(1). 168–168.

Wang, Michael, Prashant Kalvapalle, Michael Nute, et al.. (2024). Multiplexed Detection, Partitioning, and Persistence of Wild-Type and Vaccine Strains of Measles, Mumps, and Rubella Viruses in Wastewater. Environmental Science & Technology. 58(50). 21930–21941. 9 indexed citations

Curry, Kristen, Sirena Soriano, Michael Nute, et al.. (2024). Microbial Community Profiling Protocol with Full‐length 16S rRNA Sequences and Emu. Current Protocols. 4(3). e978–e978. 4 indexed citations

Kille, Bryce, et al.. (2024). Parsnp 2.0: scalable core-genome alignment for massive microbial datasets. Bioinformatics. 40(5). 22 indexed citations

Wang, Qi, Michael Nute, & Todd J. Treangen. (2023). Bakdrive: identifying a minimum set of bacterial species driving interactions across multiple microbial communities. Bioinformatics. 39(Supplement_1). i47–i56. 3 indexed citations

Sapoval, Nicolae, Amirali Aghazadeh, Michael Nute, et al.. (2022). Current progress and open challenges for applying deep learning across the biosciences. Nature Communications. 13(1). 1728–1728. 171 indexed citations breakdown →

Curry, Kristen, Qi Wang, Michael Nute, et al.. (2022). Emu: species-level microbial community profiling of full-length 16S rRNA Oxford Nanopore sequencing data. Nature Methods. 19(7). 845–853. 169 indexed citations breakdown →

Kille, Bryce, Advait Balaji, Fritz J. Sedlazeck, Michael Nute, & Todd J. Treangen. (2022). Multiple genome alignment in the telomere-to-telomere assembly era. Genome biology. 23(1). 182–182. 27 indexed citations

Balaji, Advait, Nicolae Sapoval, R. A. Leo Elworth, et al.. (2022). KOMB: K-core based de novo characterization of copy number variation in microbiomes. Computational and Structural Biotechnology Journal. 20. 3208–3222. 6 indexed citations

10.

Soriano, Sirena, Kristen Curry, Saeed S. Sadrameli, et al.. (2022). Alterations to the gut microbiome after sport-related concussion in a collegiate football players cohort: A pilot study. Brain Behavior & Immunity - Health. 21. 100438–100438. 21 indexed citations

11.

Nute, Michael, et al.. (2018). Misunderstood parameter of NCBI BLAST impacts the correctness of bioinformatics workflows. Bioinformatics. 35(9). 1613–1614. 51 indexed citations

12.

Nute, Michael, et al.. (2018). The performance of coalescent-based species tree estimation methods under models of missing data. BMC Genomics. 19(S5). 286–286. 60 indexed citations

13.

Nute, Michael, et al.. (2018). Evaluating Statistical Multiple Sequence Alignment in Comparison to Other Alignment Methods on Protein Data Sets. Systematic Biology. 68(3). 396–411. 21 indexed citations

14.

Nute, Michael & Tandy Warnow. (2016). Scaling statistical multiple sequence alignment to large datasets. BMC Genomics. 17(S10). 764–764. 10 indexed citations

15.

Nguyen, Nam, Michael Nute, Siavash Mirarab, & Tandy Warnow. (2016). HIPPI: highly accurate protein family classification with ensembles of HMMs. BMC Genomics. 17(S10). 765–765. 20 indexed citations

16.

Wilson, Sean M., et al.. (2005). Hallux Rigidus. Journal of Bone and Joint Surgery. 87(2). 462–463. 4 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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