Ralph L. Kodell
- Statistics and Probability top 0.5%
- Statistical Methods in Clinical Trials 44
- Statistical Methods and Inference 15
- Statistical Methods and Bayesian Inference 14
- Chemical Health and Safety top 1%
- Cancer Research top 2%
- Carcinogens and Genotoxicity Assessment 61
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- Effects and risks of endocrine disrupting chemicals 19
- Aging top 5%
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- Optimal Experimental Design Methods 23
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- Gene expression and cancer classification 15
- Molecular Biology Techniques and Applications 11
- Co-authors
- George L. WolffCraig A. CooneyStephen MooreJames J. ChenDavid W. GaylorRobert H. HeflichHojin MoonJohn R. Latendresse
- Journals
- SHILAP Revista de lepidopterología (2 papers)Journal of the American Statistical Association (4 papers)JNCI Journal of the National Cancer Institute (2 papers)
- 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
- Statistics and Probability 746
- Chemical Health and Safety 56
- Cancer Research 884
- Health, Toxicology and Mutagenesis 664
- Aging 71
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
The 25 scholars most cited alongside Ralph L. Kodell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Computational Tool for Testing Dose-related Trend Using an Age-adjusted Bootstrap-based Poly-k Test | 2015 | 1 |
| 2 | 2015 | 2 | |
| 3 | 2015 | 13 | |
| 4 | 2012 | 3 | |
| 5 | 2011 | 9 | |
| 6 | 2006 | 15 | |
| 7 | 2005 | 36 | |
| 8 | 2004 | 13 | |
| 9 | 2001 | 12 | |
| 10 | 2000 | 16 | |
| 11 | 1999 | 8 | |
| 12 | 1999 | 1 | |
| 13 | 1998 | 4 | |
| 14 | 1994 | 9 | |
| 15 | 1993 | 2 | |
| 16 | 1989 | 78 | |
| 17 | 1987 | 18 | |
| 18 | 1987 | 4 | |
| 19 | 1984 | 11 | |
| 20 | 1975 | 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), Optimal Experimental Design Methods (23 papers), Effects and risks of endocrine disrupting chemicals (19 papers), Gene expression and cancer classification (15 papers), Statistical Methods and Inference (15 papers), Statistical Methods and Bayesian Inference (14 papers) and Molecular Biology Techniques and Applications (11 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.