Ralph L. Kodell
- Molecular Biology top 5%
- Cancer Research top 2%
- Statistics and Probability top 0.5%
- Pediatrics, Perinatology and Child Health top 1%
- Health, Toxicology and Mutagenesis top 1%
- Co-authors
- George L. WolffCraig A. CooneyStephen MooreJames J. ChenDavid W. GaylorRobert H. HeflichHojin MoonJohn R. Latendresse
- Topics
- Carcinogens and Genotoxicity Assessment (61 papers)Statistical Methods in Clinical Trials (44 papers)Optimal Experimental Design Methods (23 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
Ralph L. Kodell
167 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Molecular Biology 1.7k
- Cancer Research 884
- Statistics and Probability 746
- Pediatrics, Perinatology and Child Health 697
- Health, Toxicology and Mutagenesis 664
Countries citing papers authored by Ralph L. Kodell
This map shows the geographic impact of Ralph L. Kodell'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 Ralph L. Kodell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralph L. Kodell more than expected).
Fields of papers citing papers by Ralph L. Kodell
This network shows the impact of papers produced by Ralph L. Kodell. 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 Ralph L. Kodell. The network helps show where Ralph L. Kodell may publish in the future.
Co-authorship network of co-authors of Ralph L. Kodell
This figure shows the co-authorship network connecting the top 25 collaborators of Ralph L. Kodell. A scholar is included among the top collaborators of Ralph L. Kodell 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 Ralph L. Kodell. Ralph L. Kodell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Computational Tool for Testing Dose-related Trend Using an Age-adjusted Bootstrap-based Poly-k Test | 1 |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 15 | |
| 7 | 36 | |
| 8 | 13 | |
| 9 | 12 | |
| 10 | 16 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 9 | |
| 15 | 2 | |
| 16 | 78 | |
| 17 | 18 | |
| 18 | 4 | |
| 19 | 11 | |
| 20 | 0 |
About Ralph L. Kodell
Ralph L. Kodell is a scholar working on Statistics and Probability, Cancer Research and Chemical Health and Safety, having authored 171 papers that have together received 4.5k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (61 papers), Statistical Methods in Clinical Trials (44 papers) and Optimal Experimental Design Methods (23 papers). The work is most often cited by research in Statistics and Probability (746 citations), Chemical Health and Safety (56 citations) and Cancer Research (884 citations). Ralph L. Kodell has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include George L. Wolff, Craig A. Cooney, Stephen Moore, James J. Chen, David W. Gaylor, Robert H. Heflich, Hojin Moon, John R. Latendresse, Levan Muskhelishvili and David T. Beranek. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and JNCI Journal of the National Cancer Institute.
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.