Myra L. Samuels
- Co-authors
- Richard G. CornellJ. Dik F. HabbemaGeorge P. McCabeGeorge CasellaGordon L. CoppocRalph C. RichardsonDennis B. DeNicolaJames Cook
- Topics
- Statistical Methods in Clinical Trials (4 papers)Optimal Experimental Design Methods (4 papers)Statistical Methods and Bayesian Inference (3 papers)
- Partner nations
- United States
In The Last Decade
Myra L. Samuels
24 papers receiving 641 citations
Peers
Comparison fields: 5 of 168
- Statistics and Probability 110
- Molecular Biology 106
- Plant Science 80
- Genetics 75
- Ecology 68
Countries citing papers authored by Myra L. Samuels
This map shows the geographic impact of Myra L. Samuels'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 Myra L. Samuels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myra L. Samuels more than expected).
Fields of papers citing papers by Myra L. Samuels
This network shows the impact of papers produced by Myra L. Samuels. 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 Myra L. Samuels. The network helps show where Myra L. Samuels may publish in the future.
Co-authorship network of co-authors of Myra L. Samuels
This figure shows the co-authorship network connecting the top 25 collaborators of Myra L. Samuels. A scholar is included among the top collaborators of Myra L. Samuels 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 Myra L. Samuels. Myra L. Samuels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Statistics for the life sciences / Myra l. Samuels, Jeffrey A. Witmer | 3 |
| 3 | 20 | |
| 4 | 58 | |
| 5 | 18 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | Pulmonary immunity in calves following stimulation of the gut-associated lymphatic tissue by bacterial exotoxin. | 1 |
| 10 | 30 | |
| 11 | 19 | |
| 12 | 8 | |
| 13 | 41 | |
| 14 | 6 | |
| 15 | 268 | |
| 16 | 12 | |
| 17 | 25 | |
| 18 | Complexity of branching dendritic trees: dependence on number of trees per cell and effects of branch loss during sectioning. | 7 |
| 19 | 3 | |
| 20 | 4 |
About Myra L. Samuels
Myra L. Samuels is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Microbiology, having authored 25 papers that have together received 714 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (4 papers), Optimal Experimental Design Methods (4 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Statistics and Probability (110 citations), Forestry (25 citations) and Agronomy and Crop Science (63 citations). Myra L. Samuels has collaborated with scholars based in United States. Frequent co-authors include Richard G. Cornell, J. Dik F. Habbema, George P. McCabe, George Casella, Gordon L. Coppoc, Ralph C. Richardson, Dennis B. DeNicola, James Cook, J. Catharine Scott‐Moncrieff and Thomas Chan. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and Biometrika.
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.