Justin Kuczynski

64.9k total citations · 7 hit papers
18 papers, 6.5k citations indexed

About

Justin Kuczynski is a scholar working on Molecular Biology, Ecology and Infectious Diseases. According to data from OpenAlex, Justin Kuczynski has authored 18 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Ecology and 4 papers in Infectious Diseases. Recurrent topics in Justin Kuczynski's work include Gut microbiota and health (13 papers), Microbial Community Ecology and Physiology (5 papers) and Genomics and Phylogenetic Studies (5 papers). Justin Kuczynski is often cited by papers focused on Gut microbiota and health (13 papers), Microbial Community Ecology and Physiology (5 papers) and Genomics and Phylogenetic Studies (5 papers). Justin Kuczynski collaborates with scholars based in United States, United Kingdom and Italy. Justin Kuczynski's co-authors include Rob Knight, Antonio González, Dan Knights, José C. Clemente, Jesse Stombaugh, J. Gregory Caporaso, William A. Walters, Jeffrey I. Gordon, Brian D. Muegge and Bernard Henrissat and has published in prestigious journals such as Science, PLoS ONE and Nature Reviews Genetics.

In The Last Decade

Justin Kuczynski

18 papers receiving 6.4k citations

Hit Papers

Diet Drives Convergence in Gut Microbiome Functions Acros... 2011 2026 2016 2021 2011 2011 2012 2011 2012 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Justin Kuczynski United States 18 4.0k 1.3k 855 786 698 18 6.5k
Amnon Amir United States 29 4.1k 1.0× 1.2k 0.9× 751 0.9× 786 1.0× 474 0.7× 67 6.6k
Nielson T. Baxter United States 16 4.5k 1.1× 1.7k 1.3× 848 1.0× 875 1.1× 805 1.2× 21 7.9k
Embriette R. Hyde United States 23 5.1k 1.3× 1.6k 1.2× 1.3k 1.6× 795 1.0× 773 1.1× 33 9.0k
Yoshiki Vázquez‐Baeza United States 33 5.0k 1.3× 998 0.8× 986 1.2× 1.2k 1.6× 769 1.1× 48 7.6k
Barbara A. Methé United States 39 5.0k 1.3× 2.4k 1.8× 942 1.1× 880 1.1× 706 1.0× 98 9.8k
Melanie Schirmer Germany 16 3.8k 0.9× 1.5k 1.1× 505 0.6× 577 0.7× 511 0.7× 30 5.7k
Mark Rojas United States 11 4.6k 1.2× 2.8k 2.1× 643 0.8× 775 1.0× 865 1.2× 15 8.9k
Jai Ram Rideout United States 15 3.1k 0.8× 1.6k 1.2× 578 0.7× 545 0.7× 610 0.9× 19 6.1k
Robert T. DeBoy United States 16 3.5k 0.9× 856 0.6× 701 0.8× 616 0.8× 734 1.1× 17 4.9k
Sean M. Gibbons United States 42 4.3k 1.1× 1.5k 1.1× 1.3k 1.5× 724 0.9× 550 0.8× 85 7.3k

Countries citing papers authored by Justin Kuczynski

Since Specialization
Citations

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

Fields of papers citing papers by Justin Kuczynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin Kuczynski. 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 Justin Kuczynski. The network helps show where Justin Kuczynski may publish in the future.

Co-authorship network of co-authors of Justin Kuczynski

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

All Works

18 of 18 papers shown
1.
Cantarel, Brandi L., Emmanuelle Waubant, Christel Chehoud, et al.. (2015). Gut Microbiota in Multiple Sclerosis: Possible Influence of Immunomodulators. Journal of Investigative Medicine. 63(5). 729–734. 320 indexed citations
2.
Wang, Su, Susan Secore, David S. Thiriot, et al.. (2014). An in vitro culture model to study the dynamics of colonic microbiota in Syrian golden hamsters and their susceptibility to infection with Clostridium difficile. The ISME Journal. 9(2). 321–332. 17 indexed citations
3.
Bottacini, Francesca, Mary O’Connell Motherway, Justin Kuczynski, et al.. (2014). Comparative genomics of the Bifidobacterium brevetaxon. BMC Genomics. 15(1). 170–170. 109 indexed citations
4.
Schmidt, Brian L., Justin Kuczynski, Aditi Bhattacharya, et al.. (2014). Changes in Abundance of Oral Microbiota Associated with Oral Cancer. PLoS ONE. 9(6). e98741–e98741. 299 indexed citations breakdown →
5.
Macdonald, Catriona A., Michael J. Crawley, Denis J. Wright, et al.. (2014). Identifying qualitative effects of different grazing types on below‐ground communities and function in a long‐term field experiment. Environmental Microbiology. 17(3). 841–854. 21 indexed citations
6.
Elftman, Michael D., Amelia K. Pinto, Megan T. Baldridge, et al.. (2013). Murine norovirus infection does not cause major disruptions in the murine intestinal microbiota. Microbiome. 1(1). 7–7. 28 indexed citations
7.
Rivas, Magali Noval, Oliver T. Burton, Petra M. Wise, et al.. (2012). A microbiota signature associated with experimental food allergy promotes allergic sensitization and anaphylaxis. Journal of Allergy and Clinical Immunology. 131(1). 201–212. 373 indexed citations
8.
McDonald, Daniel, José C. Clemente, Justin Kuczynski, et al.. (2012). The Biological Observation Matrix (BIOM) format or: how I learned to stop worrying and love the ome-ome. GigaScience. 1(1). 7–7. 590 indexed citations breakdown →
9.
Mowry, Ellen M., et al.. (2012). Gut Bacterial Populations in Multiple Sclerosis and in Health (P05.106). Neurology. 78(Meeting Abstracts 1). P05.106–P05.106. 17 indexed citations
10.
Kuczynski, Justin, Jesse Stombaugh, William A. Walters, et al.. (2012). Using QIIME to Analyze 16S rRNA Gene Sequences from Microbial Communities. Current Protocols in Microbiology. 27(1). Unit 1E.5.–Unit 1E.5.. 531 indexed citations breakdown →
11.
Kuczynski, Justin, Christian L. Lauber, William A. Walters, et al.. (2011). Experimental and analytical tools for studying the human microbiome. Nature Reviews Genetics. 13(1). 47–58. 528 indexed citations breakdown →
12.
Knights, Dan, Justin Kuczynski, Emily S. Charlson, et al.. (2011). Bayesian community-wide culture-independent microbial source tracking. Nature Methods. 8(9). 761–763. 1265 indexed citations breakdown →
13.
Zaneveld, Jesse, Laura Wegener Parfrey, Will Van Treuren, et al.. (2011). Combined phylogenetic and genomic approaches for the high-throughput study of microbial habitat adaptation. Trends in Microbiology. 19(10). 472–482. 20 indexed citations
14.
Muegge, Brian D., Justin Kuczynski, Dan Knights, et al.. (2011). Diet Drives Convergence in Gut Microbiome Functions Across Mammalian Phylogeny and Within Humans. Science. 332(6032). 970–974. 1441 indexed citations breakdown →
15.
Kuczynski, Justin, Jesse Stombaugh, William A. Walters, et al.. (2011). Using QIIME to Analyze 16S rRNA Gene Sequences from Microbial Communities. Current Protocols in Bioinformatics. 36(1). 10.7.1–10.7.20. 586 indexed citations breakdown →
16.
Kuczynski, Justin, Zongzhi Liu, Catherine Lozupone, et al.. (2010). Microbial community resemblance methods differ in their ability to detect biologically relevant patterns. Nature Methods. 7(10). 813–819. 212 indexed citations
17.
Kuczynski, Justin, Elizabeth K. Costello, Diana R. Nemergut, et al.. (2010). Direct sequencing of the human microbiome readily reveals community differences. Genome Biology. 11(5). 210–210. 130 indexed citations
18.
Knights, Dan, Justin Kuczynski, Omry Koren, et al.. (2010). Supervised classification of microbiota mitigates mislabeling errors. The ISME Journal. 5(4). 570–573. 37 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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