Ryan N. Gutenkunst

10.7k total citations · 2 hit papers
55 papers, 4.1k citations indexed

About

Ryan N. Gutenkunst is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Ryan N. Gutenkunst has authored 55 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Genetics, 22 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Ryan N. Gutenkunst's work include Genetic diversity and population structure (18 papers), Evolution and Genetic Dynamics (15 papers) and Genetic and phenotypic traits in livestock (8 papers). Ryan N. Gutenkunst is often cited by papers focused on Genetic diversity and population structure (18 papers), Evolution and Genetic Dynamics (15 papers) and Genetic and phenotypic traits in livestock (8 papers). Ryan N. Gutenkunst collaborates with scholars based in United States, Canada and Poland. Ryan N. Gutenkunst's co-authors include Carlos D. Bustamante, Scott Williamson, Ryan D. Hernandez, James P. Sethna, Christopher R. Myers, Fergal Casey, Joshua J. Waterfall, Kevin Brown, Adam R. Boyko and Amit Indap and has published in prestigious journals such as Physical Review Letters, Nature Communications and Bioinformatics.

In The Last Decade

Ryan N. Gutenkunst

53 papers receiving 4.0k 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.

Inferring the Joint Demographic History of Multiple Populations from Multidimensional SNP Frequency Data

2009 1.2k citations Ryan N. Gutenkunst, Carlos D. Bustamante et al. profile →
Universally Sloppy Parameter Sensitivities in Systems Biology Models

2007 846 citations Ryan N. Gutenkunst, Joshua J. Waterfall et al. PLoS Computational Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan N. Gutenkunst United States	27	2.0k	1.7k	368	331	251	55	4.1k
Stephen Wooding United States	29	2.4k 1.2×	2.0k 1.2×	380 1.0×	446 1.3×	401 1.6×	50	5.5k
Daniel J. Lawson United Kingdom	21	2.0k 1.0×	764 0.4×	332 0.9×	232 0.7×	225 0.9×	59	3.1k
David Levine United States	24	1.1k 0.6×	726 0.4×	311 0.8×	473 1.4×	211 0.8×	55	3.3k
Yun S. Song United States	37	3.1k 1.6×	2.6k 1.5×	354 1.0×	622 1.9×	274 1.1×	150	5.5k
Sriram Sankararaman United States	31	3.2k 1.6×	1.6k 0.9×	248 0.7×	337 1.0×	187 0.7×	87	5.0k
Ryan D. Hernandez United States	31	3.6k 1.8×	2.7k 1.6×	363 1.0×	802 2.4×	338 1.3×	58	6.3k
Michael Charleston Australia	26	1.2k 0.6×	1.2k 0.7×	470 1.3×	503 1.5×	637 2.5×	95	3.4k
Sankar Subramanian Australia	19	1000 0.5×	2.0k 1.2×	528 1.4×	347 1.0×	240 1.0×	56	3.1k
Aviv Bergman United States	36	1.4k 0.7×	2.7k 1.5×	326 0.9×	282 0.9×	351 1.4×	96	6.2k
Nick Patterson United States	25	5.7k 2.9×	2.3k 1.3×	557 1.5×	784 2.4×	445 1.8×	37	8.4k

Countries citing papers authored by Ryan N. Gutenkunst

Since Specialization

Citations

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

Fields of papers citing papers by Ryan N. Gutenkunst

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan N. Gutenkunst. 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 Ryan N. Gutenkunst. The network helps show where Ryan N. Gutenkunst may publish in the future.

Co-authorship network of co-authors of Ryan N. Gutenkunst

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan N. Gutenkunst. A scholar is included among the top collaborators of Ryan N. Gutenkunst 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 Ryan N. Gutenkunst. Ryan N. Gutenkunst 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:

20 of 20 papers shown

Castellano, David, et al.. (2025). Interpreting Supervised Machine Learning Inferences in Population Genomics Using Haplotype Matrix Permutations. Molecular Biology and Evolution. 42(10).

Struck, Travis J., Andrew H. Vaughn, Dylan D. Ray, et al.. (2025). GHIST 2024: The First Genomic History Inference Strategies Tournament. Molecular Biology and Evolution. 42(11).

Gower, Graham, Aaron P. Ragsdale, Gertjan Bisschop, et al.. (2022). Demes: a standard format for demographic models. Genetics. 222(3). 22 indexed citations

Shaheen, Montaser, Julie Y. Tse, Ethan Sokol, et al.. (2022). Genomic landscape of lymphatic malformations: a case series and response to the PI3Kα inhibitor alpelisib in an N-of-1 clinical trial. eLife. 11. 9 indexed citations

Blischak, Paul D., Michael S. Barker, & Ryan N. Gutenkunst. (2021). Chromosome‐scale inference of hybrid speciation and admixture with convolutional neural networks. Molecular Ecology Resources. 21(8). 2676–2688. 14 indexed citations

Huang, Xin, et al.. (2021). Inferring Genome-Wide Correlations of Mutation Fitness Effects between Populations. Molecular Biology and Evolution. 38(10). 4588–4602. 20 indexed citations

Blischak, Paul D., Michael S. Barker, & Ryan N. Gutenkunst. (2020). Inferring the Demographic History of Inbred Species from Genome-Wide SNP Frequency Data. Molecular Biology and Evolution. 37(7). 2124–2136. 22 indexed citations

Gutenkunst, Ryan N., et al.. (2020). BATCAVE: calling somatic mutations with a tumor- and site-specific prior. NAR Genomics and Bioinformatics. 2(1). lqaa004–lqaa004. 1 indexed citations

Gutenkunst, Ryan N.. (2020). dadi.CUDA: Accelerating Population Genetics Inference with Graphics Processing Units. Molecular Biology and Evolution. 38(5). 2177–2178. 11 indexed citations

10.

Balaji, Uthra, et al.. (2018). Sensitive and specific post-call filtering of genetic variants in xenograft and primary tumors. Bioinformatics. 34(10). 1713–1718. 2 indexed citations

11.

Ragsdale, Aaron P. & Ryan N. Gutenkunst. (2017). Inferring Demographic History Using Two-Locus Statistics. Genetics. 206(2). 1037–1048. 21 indexed citations

12.

Qi, Xinshuai, Hong An, Aaron P. Ragsdale, et al.. (2017). Genomic inferences of domestication events are corroborated by written records in Brassica rapa. Molecular Ecology. 26(13). 3373–3388. 45 indexed citations

13.

Ragsdale, Aaron P., et al.. (2016). Triallelic Population Genomics for Inferring Correlated Fitness Effects of Same Site Nonsynonymous Mutations. Genetics. 203(1). 513–523. 9 indexed citations

14.

Hsieh, PingHsun, Krishna R. Veeramah, Joseph Lachance, et al.. (2016). Whole-genome sequence analyses of Western Central African Pygmy hunter-gatherers reveal a complex demographic history and identify candidate genes under positive natural selection. Genome Research. 26(3). 279–290. 44 indexed citations

15.

Smith, Amber M., Frederick R. Adler, Ruy M. Ribeiro, et al.. (2013). Kinetics of Coinfection with Influenza A Virus and Streptococcus pneumoniae. PLoS Pathogens. 9(3). e1003238–e1003238. 162 indexed citations

16.

Ma, Xin, Joanna L. Kelley, Kirsten Eilertson, et al.. (2013). Population Genomic Analysis Reveals a Rich Speciation and Demographic History of Orang-utans (Pongo pygmaeus and Pongo abelii). PLoS ONE. 8(10). e77175–e77175. 18 indexed citations

17.

Chylek, Lily A., Bin Hu, Michael L. Blinov, et al.. (2011). Guidelines for visualizing and annotating rule-based models. Molecular BioSystems. 7(10). 2779–2795. 29 indexed citations

18.

Gutenkunst, Ryan N. & James P. Sethna. (2007). Adaptive Mutation in a Geometrical Model of Chemotype Evolution. arXiv (Cornell University). 1 indexed citations

19.

Sethna, James P., Ryan N. Gutenkunst, Joshua J. Waterfall, et al.. (2007). Sloppy systems biology: tight predictions with loose parameters. Bulletin of the American Physical Society. 1 indexed citations

20.

Gutenkunst, Ryan N., Joshua J. Waterfall, Fergal Casey, et al.. (2007). Universally Sloppy Parameter Sensitivities in Systems Biology Models. PLoS Computational Biology. 3(10). e189–e189. 846 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact