Nicholas D. Youngblut

3.6k total citations · 2 hit papers
41 papers, 2.1k citations indexed

About

Nicholas D. Youngblut is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Nicholas D. Youngblut has authored 41 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 22 papers in Ecology and 5 papers in Genetics. Recurrent topics in Nicholas D. Youngblut's work include Microbial Community Ecology and Physiology (19 papers), Gut microbiota and health (16 papers) and Genomics and Phylogenetic Studies (13 papers). Nicholas D. Youngblut is often cited by papers focused on Microbial Community Ecology and Physiology (19 papers), Gut microbiota and health (16 papers) and Genomics and Phylogenetic Studies (13 papers). Nicholas D. Youngblut collaborates with scholars based in Germany, United States and Austria. Nicholas D. Youngblut's co-authors include Ruth E. Ley, Daniel H. Buckley, Samuel E. Barnett, Georg H. Reischer, Andreas H. Farnleitner, Chris Walzer, Gabrielle Stalder, Nathalie Schuster, William A. Walters and Rachel J. Whitaker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Nicholas D. Youngblut

40 papers receiving 2.1k citations

Hit Papers

align trajectories sort by overperformance

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.

Large-scale replicated field study of maize rhizosphere identifies heritable microbes

2018 404 citations William A. Walters, Zhao Jin et al. Proceedings of the National Academy of Sciences profile →
Host diet and evolutionary history explain different aspects of gut microbiome diversity among vertebrate clades

2019 361 citations Nicholas D. Youngblut, Georg H. Reischer et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas D. Youngblut Germany	22	1.2k	805	499	187	173	41	2.1k
Andrea K. Bartram Canada	7	1.3k 1.1×	894 1.1×	325 0.7×	168 0.9×	169 1.0×	7	2.6k
Andre Masella Canada	5	926 0.8×	611 0.8×	274 0.5×	125 0.7×	135 0.8×	5	1.9k
Joshua Ladau United States	14	923 0.8×	1.0k 1.3×	282 0.6×	97 0.5×	217 1.3×	25	2.1k
Michael D. J. Lynch Canada	14	1.4k 1.2×	1.4k 1.7×	446 0.9×	156 0.8×	206 1.2×	23	2.9k
Ryan McClure United States	22	858 0.7×	534 0.7×	318 0.6×	116 0.6×	229 1.3×	55	1.9k
Gavin M. Douglas Canada	15	1.1k 0.9×	455 0.6×	434 0.9×	133 0.7×	68 0.4×	31	2.0k
Jarrad Hampton‐Marcell United States	17	942 0.8×	503 0.6×	724 1.5×	123 0.7×	147 0.8×	30	2.3k
Mohamed El-Hadidi Egypt	11	721 0.6×	638 0.8×	257 0.5×	186 1.0×	196 1.1×	40	1.8k
Anna Górska Poland	15	791 0.7×	655 0.8×	364 0.7×	164 0.9×	78 0.5×	54	2.0k
Jakub Truszkowski Canada	6	893 0.8×	490 0.6×	230 0.5×	120 0.6×	75 0.4×	15	1.7k

Countries citing papers authored by Nicholas D. Youngblut

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas D. Youngblut

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas D. Youngblut. 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 Nicholas D. Youngblut. The network helps show where Nicholas D. Youngblut may publish in the future.

Co-authorship network of co-authors of Nicholas D. Youngblut

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

All Works

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20 of 20 papers shown

Dilmore, Amanda Hazel, Rayus Kuplicki, Mehrbod Estaki, et al.. (2025). Medication use is associated with distinct microbial features in anxiety and depression. Molecular Psychiatry. 30(6). 2545–2557. 5 indexed citations

Lee, Du‐Hwa, Zachariah M. Henseler, Jacobo de la Cuesta‐Zuluaga, et al.. (2023). Silent recognition of flagellins from human gut commensal bacteria by Toll-like receptor 5. Science Immunology. 8(79). eabq7001–eabq7001. 58 indexed citations

Cuesta‐Zuluaga, Jacobo de la, Kelsey E. Huus, Nicholas D. Youngblut, Juan S. Escobar, & Ruth E. Ley. (2023). Obesity is the main driver of altered gut microbiome functions in the metabolically unhealthy. Gut Microbes. 15(2). 2246634–2246634. 10 indexed citations

Wilhelm, Roland C., Samuel E. Barnett, Tami L. Swenson, et al.. (2022). Tracing Carbon Metabolism with Stable Isotope Metabolomics Reveals the Legacy of Diverse Carbon Sources in Soil. Applied and Environmental Microbiology. 88(22). e0083922–e0083922. 12 indexed citations

Youngblut, Nicholas D., Jacobo de la Cuesta‐Zuluaga, & Ruth E. Ley. (2022). Incorporating genome‐based phylogeny and functional similarity into diversity assessments helps to resolve a global collection of human gut metagenomes. Environmental Microbiology. 24(9). 3966–3984. 5 indexed citations

Ruaud, Albane, Niklas Pfister, Ruth E. Ley, & Nicholas D. Youngblut. (2022). Interpreting tree ensemble machine learning models with endoR. PLoS Computational Biology. 18(12). e1010714–e1010714. 4 indexed citations

Cuesta‐Zuluaga, Jacobo de la, Tim D. Spector, Nicholas D. Youngblut, & Ruth E. Ley. (2021). Genomic Insights into Adaptations of Trimethylamine-Utilizing Methanogens to Diverse Habitats, Including the Human Gut. mSystems. 6(1). 29 indexed citations

Liu, Xiaoying, Jessica L. Sutter, Jacobo de la Cuesta‐Zuluaga, et al.. (2021). Reclassification of Catabacter hongkongensis as Christensenella hongkongensis comb. nov. based on whole genome analysis. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 71(4). 5 indexed citations

Rojas-Carulla, Mateo, et al.. (2020). DeepMAsED: evaluating the quality of metagenomic assemblies. Bioinformatics. 36(10). 3011–3017. 30 indexed citations

10.

Schmidt, Victor T., Hagay Enav, Timothy D. Spector, Nicholas D. Youngblut, & Ruth E. Ley. (2020). Strain-Level Analysis of Bifidobacterium spp. from Gut Microbiomes of Adults with Differing Lactase Persistence Genotypes. mSystems. 5(5). 18 indexed citations

11.

Youngblut, Nicholas D., Jacobo de la Cuesta‐Zuluaga, Georg H. Reischer, et al.. (2020). Large-Scale Metagenome Assembly Reveals Novel Animal-Associated Microbial Genomes, Biosynthetic Gene Clusters, and Other Genetic Diversity. mSystems. 5(6). 52 indexed citations

12.

Ruaud, Albane, Sofia Esquivel‐Elizondo, Jacobo de la Cuesta‐Zuluaga, et al.. (2020). Syntrophy via Interspecies H ₂ Transfer between Christensenella and Methanobrevibacter Underlies Their Global Cooccurrence in the Human Gut. mBio. 11(1). 91 indexed citations

13.

Cuesta‐Zuluaga, Jacobo de la, Ruth E. Ley, & Nicholas D. Youngblut. (2019). Struo: a pipeline for building custom databases for common metagenome profilers. Bioinformatics. 36(7). 2314–2315. 23 indexed citations

14.

Rienzi, Sara C. Di, Julia K. Goodrich, Timothy D. Spector, et al.. (2019). Virome Diversity Correlates with Intestinal Microbiome Diversity in Adult Monozygotic Twins. Cell Host & Microbe. 25(2). 261–272.e5. 141 indexed citations

15.

Walters, William A., Zhao Jin, Nicholas D. Youngblut, et al.. (2018). Large-scale replicated field study of maize rhizosphere identifies heritable microbes. Proceedings of the National Academy of Sciences. 115(28). 7368–7373. 404 indexed citations breakdown →

16.

Youngblut, Nicholas D., Samuel E. Barnett, & Daniel H. Buckley. (2018). HTSSIP: An R package for analysis of high throughput sequencing data from nucleic acid stable isotope probing (SIP) experiments. PLoS ONE. 13(1). e0189616–e0189616. 35 indexed citations

17.

Youngblut, Nicholas D., Joseph S. Wirth, James R. Henriksen, et al.. (2015). Genomic and phenotypic differentiation among Methanosarcina mazei populations from Columbia River sediment. The ISME Journal. 9(10). 2191–2205. 28 indexed citations

18.

Smith, M. W., R. E. Davis, Nicholas D. Youngblut, et al.. (2015). Metagenomic evidence for reciprocal particle exchange between the mainstem estuary and lateral bay sediments of the lower Columbia River. Frontiers in Microbiology. 6. 1074–1074. 12 indexed citations

19.

Milferstedt, Kim, Nicholas D. Youngblut, & Rachel J. Whitaker. (2010). Spatial structure and persistence of methanogen populations in humic bog lakes. The ISME Journal. 4(6). 764–776. 17 indexed citations

20.

Huang, Jenq‐Kuen, et al.. (2010). A novel secondary alcohol dehydrogenase from Micrococcus luteus WIUJH20: purification, cloning, and properties. The FASEB Journal. 24(S1). 8 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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