Ryan N. Gutenkunst
- Genetics top 0.5%
- Molecular Biology top 5%
- Ecology top 5%
- Plant Science top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- Carlos D. BustamanteScott WilliamsonRyan D. HernandezJames P. SethnaChristopher R. MyersJoshua J. WaterfallFergal CaseyKevin Brown
- Topics
- Genetic diversity and population structure (18 papers)Evolution and Genetic Dynamics (15 papers)Genetic and phenotypic traits in livestock (8 papers)
- Partner nations
- United StatesCanadaPoland
In The Last Decade
Ryan N. Gutenkunst
53 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Genetics 2.0k
- Molecular Biology 1.7k
- Ecology 368
- Plant Science 331
- Ecology, Evolution, Behavior and Systematics 251
Countries citing papers authored by Ryan N. Gutenkunst
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 22 | |
| 4 | 14 | |
| 5 | 20 | |
| 6 | 11 | |
| 7 | 22 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 45 | |
| 11 | 21 | |
| 12 | 9 | |
| 13 | 44 | |
| 14 | 72 | |
| 15 | 162 | |
| 16 | 29 | |
| 17 | 44 | |
| 18 | Sloppy systems biology: tight predictions with loose parameters | 1 |
| 19 | Adaptive Mutation in a Geometrical Model of Chemotype Evolution | 1 |
| 20 | Universally Sloppy Parameter Sensitivities in Systems Biology Modelsbreakdown → | 846 |
About Ryan N. Gutenkunst
Ryan N. Gutenkunst is a scholar working on Genetics, Virology and Molecular Biology, having authored 55 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genetic diversity and population structure (18 papers), Evolution and Genetic Dynamics (15 papers) and Genetic and phenotypic traits in livestock (8 papers). The work is most often cited by research in Genetics (2.0k citations), Ecological Modeling (121 citations) and Molecular Biology (1.7k citations). Ryan N. Gutenkunst has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Carlos D. Bustamante, Scott Williamson, Ryan D. Hernandez, James P. Sethna, Christopher R. Myers, Joshua J. Waterfall, Fergal Casey, Kevin Brown, Amit Indap and Adam R. Boyko. Their work appears in journals such as Physical Review Letters, Nature Communications and Bioinformatics.
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.