Christopher R. Myers
- Molecular Biology top 5%
- Plant Science top 2%
- Statistical and Nonlinear Physics top 1%
- Genetics top 5%
- Condensed Matter Physics top 5%
- Co-authors
- James P. SethnaKarin A. DahmenKevin BrownRyan N. GutenkunstJoshua J. WaterfallFergal CaseyDavid J. SchneiderSamuel W. Cartinhour
- Topics
- Plant Pathogenic Bacteria Studies (15 papers)Plant-Microbe Interactions and Immunity (14 papers)Evolution and Genetic Dynamics (9 papers)
- Partner nations
- United StatesIrelandFrance
In The Last Decade
Christopher R. Myers
80 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Molecular Biology 1.8k
- Plant Science 1.1k
- Statistical and Nonlinear Physics 510
- Genetics 470
- Condensed Matter Physics 402
Countries citing papers authored by Christopher R. Myers
This map shows the geographic impact of Christopher R. Myers'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 Christopher R. Myers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher R. Myers more than expected).
Fields of papers citing papers by Christopher R. Myers
This network shows the impact of papers produced by Christopher R. Myers. 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 Christopher R. Myers. The network helps show where Christopher R. Myers may publish in the future.
Co-authorship network of co-authors of Christopher R. Myers
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher R. Myers. A scholar is included among the top collaborators of Christopher R. Myers 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 Christopher R. Myers. Christopher R. Myers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 24 | |
| 7 | 10 | |
| 8 | Software methodologies for multiscale descriptions of defects, deformation and fracture | 0 |
| 9 | Continuum-atomistic modeling for crack initiation and propagation in polycrystals | 2 |
| 10 | 20 | |
| 11 | 45 | |
| 12 | 91 | |
| 13 | 6 | |
| 14 | Sloppy systems biology: tight predictions with loose parameters | 1 |
| 15 | Universally Sloppy Parameter Sensitivities in Systems Biology Modelsbreakdown → | 846 |
| 16 | 127 | |
| 17 | 182 | |
| 18 | 296 | |
| 19 | 87 | |
| 20 | 1 |
About Christopher R. Myers
Christopher R. Myers is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Plant Science, having authored 81 papers that have together received 4.9k indexed citations. Recurring topics across this work include Plant Pathogenic Bacteria Studies (15 papers), Plant-Microbe Interactions and Immunity (14 papers) and Evolution and Genetic Dynamics (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (510 citations), Condensed Matter Physics (402 citations) and Plant Science (1.1k citations). Christopher R. Myers has collaborated with scholars based in United States, Ireland and France. Frequent co-authors include James P. Sethna, Karin A. Dahmen, Kevin Brown, Ryan N. Gutenkunst, Joshua J. Waterfall, Fergal Casey, David J. Schneider, Samuel W. Cartinhour, Bryan C. Daniels and Alan Collmer. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.